Results for 'S. Sai Manohar'

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  1. Những tiếng nói giá trị từ lối sống của các minh tinh tài tử màn bạc có thể làm nên thay đổi vì môi trường sống.A. I. S. D. L. Team - manuscript
    Trong ghi chép ngắn, chúng tôi đưa sớm ra một số suy nghĩ về việc xây dựng văn hóa phụng sự môi trường, xuất phát từ một góc nhìn gần gũi với hoạt động văn hóa, nghệ thuật. Đó là góc nhìn từ lối sống của một tập hợp, có lẽ hiện nay khá bé, những nhân vật được yêu mến bởi dông đảo công chúng khán giả, thông qua các vai diễn trên màn ảnh. Họ hay được gọi bằng (...)
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  2. Platon, Republica: Despre justiție – Dialectica și educația.Sfetcu Nicolae - 2022 - Bucharest: MultiMedia Publishing.
    Platon s-a inspirat din activitatea filosofică a unora dintre predecesorii săi, în special a lui Socrate, dar și Parmenide, Heraclit și Pitagora, pentru a-și dezvolta propria filosofie, care explorează majoritatea domeniilor importante, inclusiv metafizica, etica, estetica și politica.Împreună cu profesorul său Socrate și elevul său Aristotel, a pus bazele gândirii filosofice occidentale. Platon este considerat ca unul dintre cei mai importanți și influenți filosofi din istoria omenirii, fiind unul dintre fondatorii religiei și spiritualității occidentale. Filosofia dezvoltată de el, cunoscută sub (...)
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  3. Connaissance de soi et réflexion pratique: critique des réappropriations analytiques de Sartre.Samuel Webb - 2022 - Paris: Editions Mimésis.
    How do we know ourselves? When it comes to our states of mind, it might seem that self-knowledge enjoys a privilege: I know what I'm thinking because I have immediate access to my mind. Inspired by Sartre, two American philosophers, Richard Moran and Charles Larmore, have argued that this idea fails to account for our singular relationship with our own minds. In addition to knowing ourselves through theoretical reflection, we are also capable of practical reflection. We can answer the question (...)
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  4. Elämän jatkumo Leibnizilla.Markku Roinila - 2005 - In Jussi Haukioja & Juha Räikkä (eds.), Elämän merkitys: Filosofisia kirjoituksia elämästä. Unipress.
    Leeuwenhoekin kokeilut mikroskoopilla 1600-luvun lopulla olivat G. W. Leibnizille suuri innoituksen lähde. Monadologia-teoksessaan Leibniz hehkutti keksinnön merkitystä ja antoi ymmärtää, että sillä löydetyt pikkuruiset eliöt todistivat hänen metafyysisen pluralisminsa oikeaksi. Hänen mukaansa "huomataan, että pienimmässäkin osasessa ainetta on kokonainen elävien olioiden, eläinten, entelekhioiden ja sielujen maailma." Näin Leibnizin ajatus elämän jatkumosta sai uutta pontta. -/- Keksinnön vaikutus näkyy myös Leibnizin teoksessa Uusia esseitä inhimillisestä ymmärryksestä, jossa hän esittelee pienet perseptiot, joita voidaan pitää tietoteoreettisena vastineena pieneliöille. -/- Tarkastelen esitelmässäni Leibnizin reaktioita (...)
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  5. Semnificaţia teologică a Paştelui.Sfetcu Nicolae - manuscript
    Noul Testament leagă Cina cea de taină și crucificarea lui Iisus de Paștele evreiesc și exodul din Egipt. Iisus s-a pregătit pe el însuși și pe discipolii săi pentru moartea sa în timpul Cinei, dând mesei de Paștele evreiesc un nou înțeles. El a identificat pâinea și cupa de vin ca simbolizând corpul său care va fi sacrificat curând și sângele său care urma să fie vărsat. În Prima Epistolă către Corinteni a Sfântului Apostol Pavel, Capitolul 5, el spune: “Curățiți (...)
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  6. Mărturii importante despre momentul 23 august 1944.Tănase Tiberiu - 2022 - Intelligence Info 1 (2):59-64.
    Mărturii importante despre momentul 23 august 1944 deţinem şi ca urmare a existenţei, în Arhivele Naţionale ale României – Fondul „Manuscrise”, a Memoriului de activitate al lui Traian Borcescu, şeful Secţiei a II-a Contrainformaţii din cadrul Serviciului Special de Informaţii (SSI). Ofiţerul, din postura sa de conducător al structurii SSI-ului cu atribuţii în ceea ce priveşte cunoaşterea şi combaterea fenomenelor care puteau atinge ordinea şi stabilitatea internă a ţării în timp de război, este unul din participanţii direcţi la acţiunea de (...)
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  7. Fisiologia do Ciclo Estral dos Animais Domésticos.Emanuel Isaque Cordeiro da Silva -
    FISIOLOGIA DO CICLO ESTRAL DOS ANIMAIS -/- Departamento de Zootecnia – UFRPE Embrapa Semiárido e IPA -/- • _____OBJETIVO -/- O cio ou estro é a fase reprodutiva dos animais, onde as fêmeas apresentam receptividade sexual seguida de ovulação. Para tanto, é necessário entender a fisiologia do estro para a realização do manejo reprodutivo dos animais. Em geral, as fêmeas manifestam comportamentos fora do comum quando estão ciclando, tais comportamentos devem ser observados para que não percam o pico de ovulação (...)
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  8. Fisiologia do Estro e do Serviço na Reprodução Bovina.Emanuel Isaque Cordeiro da Silva & Emanuel Isaque Da Silva - manuscript
    FISIOLOGIA DA REPRODUÇÃO BOVINA: 2 - ESTRO E SERVIÇO -/- -/- INTRODUÇÃO -/- -/- A identificação de vacas em cio (estro ou cio) é, sem dúvida, a prática mais importante no manejo da reprodução do rebanho leiteiro. Apesar dos avanços no conhecimento da fisiologia da reprodução a nível celular e molecular, a identificação de vacas em estro continua sendo o problema reprodutivo mais importante e o que mais causa prejuízos econômicos. Na indústria de laticínios no Brasil, seu impacto não foi (...)
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  9. Fisiologia e Patologias do Puerpério na Reprodução de Bovinos.Emanuel Isaque Cordeiro da Silva & Emanuel Isaque da Silva - manuscript
    PUERPÉRIO EM BOVINOS -/- INTRODUÇÃO -/- O puerpério é definido como o período entre o parto e a apresentação do primeiro estro fértil. Dois processos ocorrem durante o puerpério: a involução uterina e o início da atividade ovariana pós-parto. Em vacas leiteiras, os cuidados médicos pós-parto são essenciais nos programas de manejo, uma vez que as patologias uterinas são diagnosticadas e tratadas nesse período para que a vaca esteja em ótimas condições para ser inseminada, uma vez terminado o período de (...)
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  10. Distincția dintre falsificare și respingere în problema demarcației la Karl Popper.Nicolae Sfetcu - 2018 - Bucharest, Romania: MultiMedia Publishing.
    În această lucrare argumentez faptul că, în ciuda criticilor teoriei falsificabilității propuse de Karl Popper pentru demarcarea între știință și ne-știință, în principal pseudoștiință, acest criteriu este încă foarte util, și perfect valabil după perfecționarea lui de către Popper și adepții lui. Mai mult, chiar și în versiunea sa inițială, considerată de Lakatos ca ”dogmatică”, Popper nu a afirmat că această metodologie este un criteriu absolut de demarcare: un singur contra-exemplu nu este suficient pentru a falsifica o teorie; mai mult, (...)
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  11. Digestão dos Alimentos e Desenvolvimento do Rúmen em Bezerros.Emanuel Isaque Cordeiro da Silva - manuscript
    PRINCÍPIOS DA DIGESTÃO DOS ALIMENTOS NOS BEZERROS -/- -/- E. I. C. da Silva -/- Departamento de Agropecuária – IFPE Campus Belo Jardim -/- Departamento de Zootecnia – UFRPE sede -/- -/- PRINCÍPIOS DA DIGESTÃO DOS ALIMENTOS NOS BEZERROS -/- -/- INTRODUÇÃO -/- Se todos os bezerros pudessem ser criados por suas mães, haveria pouca necessidade de inúmeros livros, artigos e trabalhos, como esse, sobre a criação e o manejo básico desses animais. A maioria das vacas desempenha um ótimo papel (...)
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  12. Relação e Efeitos Bioquímico-nutricionais Sobre os Transtornos do Ciclo Estral em Vacas.Emanuel Isaque Cordeiro da Silva - manuscript
    RELAÇÃO E EFEITOS BIOQUÍMICO-NUTRICIONAIS SOBRE OS TRANSTORNOS DO CICLO ESTRAL DE VACAS -/- Emanuel Isaque Cordeiro da Silva Departamento de Agropecuária – IFPE Campus Belo Jardim [email protected] ou [email protected] WhatsApp: (82)98143-8399 -/- •__6. Transtornos do ciclo estral -/- Qualquer alteração na frequência, duração ou intensidade do ciclo estral é considerada uma perturbação do ciclo, cujas origens variam etiologicamente. As perturbações do ciclo podem originar-se em qualquer das partes do eixo hipotálamo-hipófise-ovário (FRAZER, 2005; GORDON, 1996). Pode ou não ser do tipo (...)
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  13. Relação e Efeitos Bioquímico-nutricionais Sobre a Involução Uterina Retardada em Vacas.Emanuel Isaque Cordeiro da Silva - manuscript
    RELAÇÃO E EFEITOS BIOQUÍMICO-NUTRICIONAIS SOBRE A INVOLUÇÃO UTERINA RETARDADA EM VACAS -/- Emanuel Isaque Cordeiro da Silva Departamento de Agropecuária – IFPE Campus Belo Jardim [email protected] ou [email protected] WhatsApp: (82)98143-8399 -/- 2. INVOLUÇÃO UTERINA RETARDADA -/- A involução uterina retardada é uma desordem reprodutiva parcialmente ocasionada por problemas nutricionais. Terminados os mecanismos do parto, os órgãos genitais da fêmea sofrerá alterações em seu tamanho, peso e forma, eles reduzem de tamanho até sua normalização, esse processo é conhecido como involução uterina (...)
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  14. Paşti (Paşte) - Cea mai importantă sărbătoare creştină.Nicolae Sfetcu - 2015 - Drobeta Turnu Severin: MultiMedia Publishing.
    Paştele este cea mai importantă sărbătoare religioasă din anul liturgic creştin. Creştinii cred că Iisus a fost înviat după trei zile de la crucificarea sa. Multe denominaţii creştine celebrează învierea sa în Ziua de Paşti sau Duminica Paştelui (denumită şi Ziua Învierii sau Duminica Învierii), la două zile după Sfânta Vineri. Orice altă sărbătoare religioasă din calendarul ortodox, inclusiv Crăciunul, este mai puţin importantă faţă de celebrarea Învierii lui Iisus Hristos. Acest lucru se reflectă în bogate obiceiuri pascale în ţările (...)
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  15. Hoàn thiện mô hình xếp hạng tín dụng cá nhân tại Ngân hàng TMCP Sài Gòn.Sài Gòn Ngân-Hàng - 2012 - Xếp Hạng Tín Dụng.
    Nghiên cứu để xây dựng chương trình phần mềm chung để cập nhật thông tin từ các TCTD, chi nhánh TCTD cho NHNN. Hiện nay, tuỳ theo việc áp dụng công nghệ của từng TCTD mà có nhiều chương trình báo cáo khác nhau nên chưa đảm bảo chuẩn chung và không đảm bảo an toàn chính xác đối với thông tin đầu vào.
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  16. The Global Media and Information Literacy Week: Moving Towards MIL Cities.Saied Reza Ameli & Alireza Salehi-Nejad - 2019 - Journal of Cyberspace Studies 3 (1):1--4.
    The Global Media and Information Literacy Week commemorates the progress in achieving “MIL for all” by aggregating various MIL-related local and international events and actions across different disciplines around the world.The MIL Global Week 2018, 24 to 31 October, was marked by the United Nations Educational, Scientific and Cultural Organization in collaboration with various organizations including the UN Alliance of Civilizations, the Global Alliance for Partnership on MIL, the International Federation of Library Associations, the International Association of School Libraries, and (...)
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  17. Fair Allocation of GLP-1 and Dual GLP-1-GIP Receptor Agonists.Ezekiel J. Emanuel, Johan L. Dellgren, Matthew S. McCoy & Govind Persad - forthcoming - New England Journal of Medicine.
    Glucagon-like peptide-1 (GLP-1) receptor agonists, such as semaglutide, and dual GLP-1 and glucose-dependent insulinotropic polypeptide (GIP) receptor agonists, such as tirzepatide, have been found to be effective for treating obesity and diabetes, significantly reducing weight and the risk or predicted risk of adverse cardiovascular events. There is a global shortage of these medications that could last several years and raises questions about how limited supplies should be allocated. We propose a fair-allocation framework that enables evaluation of the ethics of current (...)
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  18. Leveraging Artificial Intelligence for Strategic Business Decision-Making: Opportunities and Challenges.Mohammed Hazem M. Hamadaqa, Mohammad Alnajjar, Mohammed N. Ayyad, Mohammed A. Al-Nakhal, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (8):16-23.
    Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...)
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  19. Artificial Intelligence in Agriculture: Enhancing Productivity and Sustainability.Mohammed A. Hamed, Mohammed F. El-Habib, Raed Z. Sababa, Mones M. Al-Hanjor, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Engineering and Information Systems (IJEAIS) 8 (8):1-8.
    Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...)
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  20. Artificial Intelligence in Healthcare: Transforming Patient Care and Medical Practices.Jawad Y. I. Alzamily, Hani Bakeer, Husam Almadhoun, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (8):1-9.
    Abstract: Artificial Intelligence (AI) is rapidly becoming a cornerstone of modern healthcare, offering unprecedented capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper explores the transformative impact of AI on the healthcare sector, examining how it enhances patient outcomes, improves the efficiency of medical practices, and introduces new ethical and operational challenges. By analyzing current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, this paper highlights the significant advancements AI has brought to the (...)
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  21. Predicting Carbon Dioxide Emissions in the Oil and Gas Industry.Yousef Mohammed Meqdad & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (10):34-40.
    Abstract: This study has effectively tackled the critical challenge of accurate calorie prediction in dishes by employing a robust neural network-based model. With an outstanding accuracy rate of 99.32% and a remarkably low average error of 0.009, our model has showcased its proficiency in delivering precise calorie estimations. This achievement equips individuals, healthcare practitioners, and the food industry with a powerful tool to promote healthier dietary choices and elevate awareness of nutrition. Furthermore, our in-depth feature importance analysis has shed light (...)
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  22. Design to Implementation of A Line Follower Robot Using 5 Sensors.Anupoju Sai Vamsi, Badana Manasa, Kocherla Rama Krishna, Tarigoppula Venu & A. N. V. N. Shashank - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (1):42-47.
    Abstract: The main objective is to design a line follower robot is to carry products in the manufacturing process in industries. In this paper, we mainly focused on the design to work the line follower efficiently with lighter weight. The line follower robot designed with 5 sensors to make the robot move in even complex paths. This paper discussed the mechanical and technical issues with the line follower robot and applications in various fields. In the working model, we used black (...)
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  23. Advancements in AI for Medical Imaging: Transforming Diagnosis and Treatment.Zakaria K. D. Alkayyali, Ashraf M. H. Taha, Qasem M. M. Zarandah, Bassem S. Abunasser, Alaa M. Barhoom & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research(Ijaer) 8 (8):8-15.
    Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...)
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  24. AI-Driven Innovations in Agriculture: Transforming Farming Practices and Outcomes.Jehad M. Altayeb, Hassam Eleyan, Nida D. Wishah, Abed Elilah Elmahmoum, Ahmed J. Khalil, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):1-6.
    Abstract: Artificial Intelligence (AI) is transforming the agricultural sector, enhancing both productivity and sustainability. This paper delves into the impact of AI technologies on agriculture, emphasizing their application in precision farming, predictive analytics, and automation. AI-driven tools facilitate more efficient crop and resource management, leading to higher yields and a reduced environmental footprint. The paper explores key AI technologies, such as machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...)
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  25. Classification of Chicken Diseases Using Deep Learning.Mohammed Al Qatrawi & Samy S. Abu-Naser - 2024 - Information Journal of Academic Information Systems Research (Ijaisr) 8 (4):9-17.
    Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. The dataset (...)
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  26. The Role of AI in Enhancing Business Decision-Making: Innovations and Implications.Faten Y. A. Abu Samara, Aya Helmi Abu Taha, Nawal Maher Massa, Tanseen N. Abu Jamie, Fadi E. S. Harara, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Pedagogical Research (IJAPR) 8 (9):8-15.
    Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...)
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  27. Fish Classification Using Deep Learning.M. N. Ayyad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):51-58.
    Abstract: Fish are important for both nutritional and economic reasons. They are a good source of protein, vitamins, and minerals and play a significant role in human diets, especially in coastal and island communities. In addition, fishing and fish farming are major industries that provide employment and income for millions of people worldwide. Moreover, fish play a critical role in marine ecosystems, serving as prey for larger predators and helping to maintain the balance of aquatic food chains. Overall, fish play (...)
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  28. Credit Score Classification Using Machine Learning.Mosa M. M. Megdad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (5):1-10.
    Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the F1-score (...)
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  29. Rice Classification using ANN.Abdulrahman Muin Saad & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):32-42.
    Abstract: Rice, as a paramount staple crop worldwide, sustains billions of lives. Precise classification of rice types holds immense agricultural, nutritional, and economic significance. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing rice type classification accuracy and efficiency. This research explores rice type classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 18,188 entries and key rice grain attributes, we develop and evaluate a neural network model. Our neural network, featuring a (...)
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  30. Fine-tuning MobileNetV2 for Sea Animal Classification.Mohammed Marouf & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):44-50.
    Abstract: Classifying sea animals is an important problem in marine biology and ecology as it enables the accurate identification and monitoring of species populations, which is crucial for understanding and protecting marine ecosystems. This paper addresses the problem of classifying 19 different sea animals using convolutional neural networks (CNNs). The proposed solution is to use a pretrained MobileNetV2 model, which is a lightweight and efficient CNN architecture, and fine-tune it on a dataset of sea animals. The results of the study (...)
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  31. The Fast Food Image Classification using Deep Learning.Jehad El-Tantawi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):37-43.
    Abstract: Fast food refers to quick, convenient, and ready-to-eat meals that are usually sold at chain restaurants or take-out establishments. Fast food is often criticized for its unhealthy ingredients, such as high levels of salt, sugar, and unhealthy fats, and its contribution to the growing obesity epidemic. Despite this, fast food remains popular due to its affordability, convenience, and widespread availability. Many fast food chains have attempted to respond to these criticisms by offering healthier options, such as salads and grilled (...)
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  32. Classification of Apple Diseases Using Deep Learning.Ola I. A. Lafi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):1-9.
    Abstract: In this study, we explore the challenge of identifying and preventing diseases in apple trees, which is a popular activity but can be difficult due to the susceptibility of these trees to various diseases. To address this challenge, we propose the use of Convolutional Neural Networks, which have proven effective in automatically detecting plant diseases. To validate our approach, we use images of apple leaves, including Apple Rot Leaves, Leaf Blotch, Healthy Leaves, and Scab Leaves collected from Kaggle which (...)
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  33.  67
    One R or the other – an experimental bioethics approach to 3R dilemmas in animal research.Christian Rodriguez Perez, David M. Shaw, Brian D. Earp, Bernice S. Elger & Kirsten Persson - 2024 - Medicine, Health Care and Philosophy (4):497-512.
    Sacrificial dilemmas such as the trolley problem play an important role in experimental philosophy (x-phi). But it is increasingly argued that, since we are not likely to encounter runaway trolleys in our daily life, the usefulness of such thought experiments for understanding moral judgments in more ecologically valid contexts may be limited. However, similar sacrificial dilemmas are experienced in real life by animal research decision makers. As part of their job, they must make decisions about the suffering, and often the (...)
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  34. Tomato Leaf Diseases Classification using Deep Learning.Mohammed F. El-Habibi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):73-80.
    Abstract: Tomatoes are among the most popular vegetables in the world due to their frequent use in many dishes, which fall into many varieties in common and traditional foods, and due to their rich ingredients such as vitamins and minerals, so they are frequently used on a daily basis, When we focus our attention on this vegetable, we must also focus and take into consideration the diseases that affect this vegetable, a deep learning model that classifies tomato diseases has been (...)
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  35. Forest Fire Detection using Deep Leaning.Mosa M. M. Megdad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):59-65.
    Abstract: Forests are areas with a high density of trees, and they play a vital role in the health of the planet. They provide a habitat for a wide variety of plant and animal species, and they help to regulate the climate by absorbing carbon dioxide from the atmosphere. While in 2010, the world had 3.92Gha of forest cover, covering 30% of its land area, in 2019, there was a loss of forest cover of 24.2Mha according to the Global Forest (...)
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  36. THE DIARY OF BIDA-BIDA: UNDERSTANDING THE CONSEQUENCES OF 'SMART SHAMING' AMONG SENIOR HIGH SCHOOL STUDENT LEADERS.Anika M. Untalan, Alisson A. Abanes, Noel T. Bambao Jr, Landher J. Baon, John Cyrus M. Barrientos, John Carl C. Carenan, Rhaniel Joseph C. Lanic, Troy Christian D. Ortego, Lhei Ashera C. Bayugo, Sara S. Espole, Nicole A. Sale, Janelle D. Samillano, Candy Rose C. Simballa & Jowenie A. Mangarin - 2024 - Get International Research Journal 2 (2):47-60.
    Academic excellence and intelligence are commonly lauded as commendable attributes synonymous with success. However, a disconcerting trend has surfaced within educational institutions, challenging the prevailing narrative of scholastic accomplishment—smart shaming. This research delves into the increasing concern of smart shaming within educational settings, particularly at Immaculate Conception College of Balayan, Inc., questioning the predominant emphasis on academic excellence and intelligence. A qualitative case study design, along with judgmental sampling, was employed to examine fifteen (15) student leaders who had experienced smart (...)
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  37. Using Deep Learning to Classify Corn Diseases.Mohanad H. Al-Qadi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems (Ijaisr) 8 (4):81-88.
    Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...)
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  38.  67
    Breakthroughs in Breast Cancer Detection: Emerging Technologies and Future Prospects.Ola I. A. Lafi, Rawan N. A. Albanna, Dina F. Alborno, Raja E. Altarazi, Amal Nabahin, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Health and Medical Research (IJAHMR) 8 (9):8-15.
    Abstract: Early detection of breast cancer is vital for improving patient outcomes and reducing mortality rates. Technological advancements have significantly enhanced the accuracy and efficiency of screening methods. This paper explores recent innovations in early detection, focusing on the evolution of digital mammography, the benefits of 3D mammography (tomosynthesis), and the application of advanced imaging techniques such as molecular imaging and MRI. It also examines the role of artificial intelligence (AI) in diagnostic tools, showing how machine learning algorithms are improving (...)
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  39. Grape Leaf Species Classification Using CNN.Mohammed M. Almassri & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):66-72.
    Abstract: Context: grapevine leaves are an important agricultural product that is used in many Middle Eastern dishes. The species from which the grapevine leaf originates can differ in terms of both taste and price. Method: In this study, we build a deep learning model to tackle the problem of grape leaf classification. 500 images were used (100 for each species) that were then increased to 10,000 using data augmentation methods. Convolutional Neural Network (CNN) algorithms were applied to build this model (...)
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  40. Using Deep Learning to Classify Eight Tea Leaf Diseases.Mai R. Ibaid & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):89-96.
    Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on and (...)
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  41. Harmony in Chinese Thought: A Philosophical Introduction.Chenyang Li, Sai Hang Kwok & Dascha Düring (eds.) - 2021 - Lanham: Rowman & Littlefield Publishers.
    He (和), or harmony, has traditionally been a central concept in Chinese thought, and to this day continues to shape the way in which people in China and East Asia think about ethics and politics. Yet, there is no systematic and comprehensive introduction of harmony as has been variously articulated in different Chinese schools. This edited volume aims to fill this gap. The individual contributions elaborate the conceptions of harmony as these were exemplified in central Chinese schools of thought, including (...)
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  42. ARDUINO Tutor: An Intelligent Tutoring System for Training on ARDUINO.Islam Albatish, Msbah J. Mosa & Samy S. Abu-Naser - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (1):236-245.
    This paper aims at helping trainees to overcome the difficulties they face when dealing with Arduino platform by describing the design of a desktop based intelligent tutoring system. The main idea of this system is a systematic introduction into the concept of Arduino platform. The system shows the circuit boards of Arduino that can be purchased at low cost or assembled from freely-available plans; and an open-source development environment and library for writing code to control the board topic of Arduino (...)
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  43. Enhancing Education with Artificial Intelligence: The Role of Intelligent Tutoring Systems.Ahmad Marouf, Rami Al-Dahdooh, Mahmoud Jamal Abu Ghali, Ali Osama Mahdi, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Engineering and Information Systems (IJEAIS) 8 (8):10-16.
    Abstract: The integration of Artificial Intelligence (AI) into educational technology has revolutionized learning through Intelligent Tutoring Systems (ITS). These systems harness AI to deliver personalized, adaptive instruction that caters to individual student needs, thereby enhancing learning outcomes and engagement. This paper explores the evolution and impact of ITS, highlighting key AI technologies such as machine learning, natural language processing, and adaptive algorithms that underpin their functionality. By examining various case studies and applications, the paper illustrates how ITS have transformed traditional (...)
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  44. AI in HRM: Revolutionizing Recruitment, Performance Management, and Employee Engagement.Mostafa El-Ghoul, Mohammed M. Almassri, Mohammed F. El-Habibi, Mohanad H. Al-Qadi, Alaa Abou Eloun, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):16-23.
    Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM) by enhancing the efficiency and effectiveness of key functions such as recruitment, performance management, and employee engagement. This paper explores the integration of AI technologies in HRM, focusing on their potential to revolutionize these critical areas. In recruitment, AI-driven tools streamline candidate sourcing, screening, and selection processes, leading to more accurate and unbiased hiring decisions. Performance management is similarly transformed, with AI enabling continuous, data-driven feedback and personalized development plans that (...)
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  45. Harnessing Artificial Intelligence for Effective Leadership: Opportunities and Challenges.Sabreen R. Qwaider, Mohammed M. Abu-Saqer, Islam Albatish, Azmi H. Alsaqqa, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (8):6-11.
    Abstract: The integration of Artificial Intelligence (AI) into leadership practices is transforming organizational dynamics and This decision-making processes. paper explores how AI can enhance leadership effectiveness by providing data-driven insights, optimizing decision-making, and automating routine tasks. It also examines the challenges leaders face in adopting AI, including ethical considerations, potential biases in AI systems, and the need for upskilling. By analyzing current applications of AI in leadership and discussing future trends, this study aims to provide a comprehensive overview of the (...)
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  46. AI-Driven Organizational Change: Transforming Structures and Processes in the Modern Workplace.Mohammed Elkahlout, Mohammed B. Karaja, Abeer A. Elsharif, Ibtesam M. Dheir, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - Information Journal of Academic Information Systems Research (Ijaisr) 8 (8):38-45.
    Abstract: Artificial Intelligence (AI) is revolutionizing organizational dynamics by reshaping both structures and processes. This paper explores how AI-driven innovations are transforming organizational frameworks, from hierarchical adjustments to decentralized decision-making models. It examines the impact of AI on various processes, including workflow automation, data analysis, and enhanced decision support systems. Through case studies and empirical research, the paper highlights the benefits of AI in improving efficiency, driving innovation, and fostering agility within organizations. Additionally, it addresses the challenges associated with AI (...)
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  47.  29
    EXPERIMENTAL INVESTIGATION ON PACKING DENSITY OF DIFFERENT FINE AGGREGATE IN GEOPOLYMER CONCRETE.M. Indhumathi, A. Leema Margret, S. Ajandhadevi, G. Jenitha & M. Subalakshmi - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):552-566.
    The production of Ordinary Portland Cement (OPC) causes havoc to the environment due to the emission of CO 2 as well mining also results in unrecoverable loss to nature. Estimated carbon This Project deals with the details of optimized Mix Design for normal strength concrete using packing density method. Dredged Marine Sand (DMS) which is produced during the operation of dredging. DMS is mixed with M-Sand in different ratios & Packing density is obtained using sieve analysis experimentally. This ratio’s of (...)
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  48. Stop agonising over informed consent when researchers use crowdsourcing platforms to conduct survey research.Jonathan Lewis, Vilius Dranseika & Søren Holm - 2023 - Clinical Ethics 18 (4):343-346.
    Research ethics committees and institutional review boards spend considerable time developing, scrutinising, and revising specific consent processes and materials for survey-based studies conducted on crowdsourcing and online recruitment platforms such as MTurk and Prolific. However, there is evidence to suggest that many users of ICT services do not read the information provided as part of the consent process and they habitually provide or refuse their consent without adequate reflection. In principle, these practices call into question the validity of their consent. (...)
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  49. No Coincidence?Matthew S. Bedke - 2014 - Oxford Studies in Metaethics 9:102-125.
    This paper critically examines coincidence arguments and evolutionary debunking arguments against non-naturalist realism in metaethics. It advances a version of these arguments that goes roughly like this: Given a non-naturalist, realist metaethic, it would be cosmically coincidental if our first order normative beliefs were true. This coincidence undermines any prima facie justification enjoyed by those beliefs.
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  50. AI in Leadership: Transforming Decision-Making and Strategic Vision.Mohran H. Al-Bayed, Mohanad Hilles, Ibrahim Haddad, Marah M. Al-Masawabe, Mohammed Ibrahim Alhabbash, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Pedagogical Research (IJAPR) 8 (9):1-7.
    Abstract: The integration of Artificial Intelligence (AI) into leadership practices is rapidly transforming organizational dynamics and decision-making processes. This paper explores the ways in which AI enhances leadership effectiveness by providing data- driven insights, optimizing decision-making, and automating routine tasks. Additionally, it examines the challenges leaders face when adopting AI, including ethical considerations, potential biases in AI systems, and the need for upskilling. By analyzing current applications of AI in leadership and discussing future trends, this study aims to offer a (...)
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