Results for 'A. Manoj Prabharan'

978 found
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  1.  28
    Comparing LSTM, GRU, and CNN Approaches in Air Quality Prediction Models.A. Manoj Prabharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):576-585.
    The results show that the hybrid CNN-LSTM model outperforms the individual models in terms of prediction accuracy and robustness, suggesting that combining convolutional layers with recurrent units is beneficial for capturing both spatial and temporal patterns in air quality data. This study demonstrates the potential of deep learning methods to offer real-time, accurate air quality forecasting systems, which can aid policymakers and urban planners in managing air pollution more effectively.
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  2.  26
    Advanced Deep Learning Models for Proactive Malware Detection in Cybersecurity Systems.A. Manoj Prabharan - 2023 - Journal of Science Technology and Research (JSTAR) 5 (1):666-676.
    By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities further improve (...)
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  3. Understanding Consumer Perception of Apple’s Ecosystem: A Study in Southern District.Manoj Prabaharan A. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (4):150-165.
    Consumers often buy products not because of their attributes per se but rather because of the ultimate benefits that these attributes provide, in turn leading to the satisfaction of ultimate values. And Apple is a type of company which understand their customers & future aspects of innovation in a way that no other companies do. That’s the reason that apple is at No. 1 place in Top 50 Most innovative companies. This article endeavors to recognize the consumer perception towards the (...)
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  4.  58
    Exploring Gender-Specific Preferences in the Two-Wheeler Industry: Focus on Women Riders.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (4):504-515.
    A wide variety of two-wheelers of all category light- weighted, medium – weighted and heavy weighted vehicles have been introduced in the market. The objective of the study is to know the preference and satisfaction of women consumers over two-wheelers and the various aspects, which determines the purchase or buying behavior and to know the expectations of women consumers over two-wheelers. The sample size of the study was conducted in Tiruchirappalli city with 75 respondents through Non-Probability Random Sampling Method. The (...)
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  5.  37
    ntelligent Hybrid Cloud Data Deduplication for Optimized Storage Utilization.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):625-633.
    The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine learning-based duplicate detection, the framework achieves significant storage savings without compromising data integrity. Real-time testing on a hybrid cloud setup demonstrated a 65% reduction in storage needs and a 40% improvement in data retrieval times. Additionally, the system employs blockchain for immutable logging of deduplication activities, enhancing transparency and traceability. This (...)
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  6.  67
    Unlocking Real-Time Analytics: A Case Study on Legacy Database Migration to Snowflake.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):590-600.
    The study outlines the technical challenges encountered during migration, including data compatibility issues, schema conversion, and security compliance, as well as strategies to mitigate these obstacles. Testing and validation techniques are applied throughout the migration, highlighting essential checkpoints to confirm data accuracy and optimal performance in the Snowflake environment. Postmigration performance metrics are evaluated to illustrate improvements in query execution, scalability, and overall system efficiency compared to the legacy system. The results underscore the advantages of Snowflake’s architecture in handling high-volume, (...)
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  7.  17
    Energy-Aware Depth-Based Routing Protocol for Enhanced Data Transmission in Underwater Wireless Sensor Networks.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):631-639.
    Underwater Wireless Sensor Networks (UWSNs) are pivotal for various applications, including oceanographic data collection, environmental monitoring, and naval operations. However, the harsh underwater environment poses challenges in designing efficient routing protocols, especially concerning energy consumption and data transmission reliability. This paper proposes an optimized depth-based routing protocol for energy-aware data transmission in UWSNs, focusing on minimizing energy usage while ensuring robust data delivery. The protocol dynamically adjusts transmission power based on node depth and residual energy, reducing communication overhead and prolonging (...)
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  8.  53
    Real-Time Phishing Detection Using Genetic Algorithm-Based Ranking and Dynamic Weighting Optimization.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):491-500.
    The rapid evolution of phishing techniques necessitates more sophisticated detection and classification methods. In this paper, we propose a novel approach to phishing content classification using a Genetic Ranking Optimization Algorithm (GROA), combined with dynamic weighting, to improve the accuracy and ranking of phishing versus legitimate content. Our method leverages features such as URL structure, email content analysis, and user behavior patterns to enhance the detection system's decision-making process. The Genetic Ranking Optimization Algorithm (GROA) is used to rank phishing content (...)
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  9.  17
    SkillSync: Connecting Student Strengths with Career Goals Using AI Technology.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):608-617.
    The rapid advancement of artificial intelligence (AI) technologies has revolutionized various industries, including the realm of education and career guidance. This project endeavors to harness the power of AI to develop a sophisticated career guidance application that offers personalized and effective recommendations to students and job seekers. The primary objective of this project is to address the limitations of traditional career guidance methods, which often lack customization and fail to adapt to individual preferences, skills, and aspirations. Through the integration of (...)
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  10.  62
    Scalable Cloud Solutions for Cardiovascular Disease Risk Management with Optimized Machine Learning Techniques.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):454-470.
    The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. In order to achieve even higher predicted accuracy, the study's conclusion discusses the significance of its findings for clinical practice as well as future improvements that might be (...)
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  11. Intelligent Encryption and Attribute-Based Data Retrieval for Secure Cloud Storage Using Machine Learning.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):415-425.
    Cloud storage's scalability, accessibility, and affordability have made it essential in the digital age. Data security and privacy remain a major issue due to the large volume of sensitive data kept on cloud services. Traditional encryption is safe but slows data recovery, especially for keyword searches. Secure, fine-grained access control and quick keyword searches over encrypted data are possible using attribute-based keyword search (ABKS). This study examines how ABKS might optimize search efficiency and data security in cloud storage systems. We (...)
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  12.  77
    Machine Learning-Enhanced Secure Cloud Storage with Attribute-Based Data Access.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):418-429.
    Cloud computing has transformed data management and storage by providing unmatched scalability, flexibility, and cost-effectiveness. However, rising cloud storage use has raised data security and privacy issues. As sensitive data being outsourced to third-party cloud providers, security is crucial. Traditional encryption methods secure data but make data recovery difficult. Specifically, efficiently searching encrypted data without compromising security is difficult.
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  13.  52
    Optimized Face Reconstruction Using 3D Convolutional Neural Networks.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):509-520.
    The accuracy levels of VGG19 and 3D CNN are compared using the performance metrics. This comparison helps in identifying which model performs better in the task of facial reconstruction from distorted images. Visualizing the results in the form of a graph provides a clear and concise way to understand the comparative performance of the algorithms. The ultimate goal of this project is to develop a system that can accurately reconstruct distorted faces, which can be invaluable in identifying accident victims or (...)
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  14.  16
    Efficient Plant Disease Identification through Advanced Deep Learning Techniques.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):645-655.
    The dataset is preprocessed to remove noise and augmented to address the issue of class imbalance. The CNN model is then trained, validated, and tested on this dataset. The results indicate that the deep learning model achieves a classification accuracy of over 95% for most plant diseases. Additionally, the system is designed to provide real-time feedback to farmers, helping them take immediate corrective action. This automated approach eliminates the need for expert human intervention and can be deployed on mobile devices (...)
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  15.  10
    Smart Robotic Solutions for Efficient Stock Management in Pick and Place Tasks.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):680-690.
    The integration of robotics and stock management systems has revolutionized warehouse operations, offering greater efficiency, accuracy, and flexibility. This paper presents an optimal design for integrating robotic systems with stock management for pick-and-place operations in warehousing environments. The primary objective of this research is to enhance the precision and speed of stock handling while minimizing human intervention and error. Our design incorporates state-of-the-art sensors, real-time tracking systems, and autonomous robots programmed with advanced algorithms for object identification, gripping, and movement.
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  16.  9
    Integrated Health Alert System with Visual Analytics for Proactive Monitoring.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):655-665.
    The proposed system combines predictive analytics and historical data to flag potential emergencies before they occur. The visual analytics platform provides comprehensive reports to healthcare providers, enabling them to monitor trends, identify risk factors, and make informed decisions. This approach significantly enhances patient care by minimizing delays in response and improving overall health outcomes. The system's architecture, based on big data frameworks, supports scalable and efficient data processing. The study demonstrates how the integration of predictive models and data visualization tools (...)
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  17. The Qualitative Role of Big data and Internet of Things for Future Generation-A Review.M. Arun Kumar & A. Manoj Prabaharan - 2021 - Turkish Online Journal of Qualitative Inquiry (TOJQI) 12 (3):4185-4199.
    The Internet of Things (IoT) wireless LAN in healthcare has moved away from traditional methods that include hospital visits and continuous monitoring. The Internet of Things allows the use of certain means, including the detection, processing and transmission of physical and biomedical parameters. With powerful algorithms and intelligent systems, it will be available to provide unprecedented levels of critical data for real-time life that are collected and analyzed to guide people in research, management and emergency care. This chapter provides a (...)
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  18.  75
    Dynamic Resource Allocation in Accelerated Computing Architectures for Improved Computational Throughput.Prabaharan Manoj - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):540-545.
    Accelerated computing leverages specialized hardware and software techniques to optimize the performance of computationally intensive tasks, offering significant speed-ups in scientific, engineering, and data-driven fields. This paper presents a comprehensive study examining the role of accelerated computing in enhancing processing capabilities and reducing execution times in diverse applications. Using a custom-designed experimental framework, we evaluated different methodologies for parallelization, GPU acceleration, and CPU-GPU coordination. The aim was to assess how various factors, such as data size, computational complexity, and task concurrency, (...)
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  19.  69
    Digital Literacy as a Tool for Addressing Inequities in the Indian Education System.Prabaharan Manoj - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):520-528.
    This study explores the role of government policies, public-private partnerships, and emerging technologies in bridging the digital divide, ensuring inclusive and equitable access to quality education for all students. By analyzing case studies and statistical data, this research identifies key areas where the EdTech revolution can be leveraged to close gaps in the education system while fostering innovation in pedagogical practices. Finally, the paper presents recommendations for ensuring that the EdTech revolution contributes to systemic equity, rather than exacerbating existing disparities.
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  20.  43
    Evaluating the Impact of Telemedicine on Doctors' Work-Life Harmony in Diverse Healthcare Settings.Prabaharan Manoj - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):520-530.
    Furthermore, the paper delves into the role of hospital management and policy in easing the digital transition and fostering a more harmonious work-life balance. By analyzing technological tools and frameworks in telemedicine, the research identifies areas where improvements can be made, offering recommendations for enhancing doctors' digital efficiency while promoting better work-life harmony. This study contributes to understanding how technology can be harnessed to benefit healthcare professionals, particularly in managing the dual demands of professional duties and personal well-being.
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  21. Phenomenal and Representational Character of Conscious Experience.Manoj Panda - 2017 - Sandhān : Journal of Centre for Studies in Civilizations (1 & 2):59-92.
    My aim in this paper is to critically evaluate the debate surrounding the distinction between phenomenal and representational character of conscious experience which is one of the important debates in contemporary philosophy of mind and consciousness studies. The main objective of this paper is to seek an answer to the question- whether the content of conscious experience is phenomenal or intentional, or both? In the introduction, I will introduce the phenomenal and representational as two significant properties of consciousness. In the (...)
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  22. Gadamer, McDowell, and the Phenomenology of Understanding.Manoj Panda - 2020 - In Jyotsna Saha, Jhadeswar Ghosh & Purbayan Jha (eds.), Language, Reality and Culture: Philosophical Discourses on Language, Religion and Culture. Kolkata, West Bengal, India:
    My aim in this paper is to critically evaluate the debate between John McDowell and Michael Friedman on the nature of understanding and relativism. McDowell in his magnum opus Mind and World, has argued in favour of the view that the way we are open to reality is constituted by concepts. According to him, our openness to reality is placed in the space of reasons which is nothing but space of concepts. Friedman in his critical and detail review of McDowell’s (...)
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  23. Experience, Thought and External World: Davidson and McDowell.Manoj Panda - 2019 - Indian Philosophical Quarterly (3-4):43-64.
    The relationship between experience and thought is one of the distinctive problems in contemporary philosophy and has significant implications for both philosophy of mind and epistemology. John McDowell in his Magnum Opus Mind and World has argued in favour of a rational and conceptual relationship between experience and thought. In our understanding of the relationship between experience and thought, in his opinion, we fall into an “intolerable oscillation” between Myth of the Given and Coherentism. One of these pitfalls, he specifically (...)
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  24. Experience, Knowledge and Space of Reasons.Manoj Panda - 2020 - Journal of Foundational Research 28:421-450.
    Philosophers throughout the ages have struggled to explain the way or ways by which we can acquire knowledge about the external world. With an aim to meet the skeptical challenges regarding the possibility of knowledge, various accounts of knowledge have been developed across philosophical traditions. The worry to meet skeptical challenges is implicitly or explicitly present in almost every philosophical account of knowledge. Many philosophers, while explaining about the nature and the possibility of knowledge, have talked about placing it in (...)
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  25. SAR-BSO meta-heuristic hybridization for feature selection and classification using DBNover stream data.Dharani Talapula, Kiran Ravulakollu, Manoj Kumar & Adarsh Kumar - forthcoming - Artificial Intelligence Review.
    Advancements in cloud technologies have increased the infrastructural needs of data centers due to storage needs and processing of extensive dimensional data. Many service providers envisage anomaly detection criteria to guarantee availability to avoid breakdowns and complexities caused due to large-scale operations. The streaming log data generated is associated with multi-dimensional complexity and thus poses a considerable challenge to detect the anomalies or unusual occurrences in the data. In this research, a hybrid model is proposed that is motivated by deep (...)
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  26. Collected Papers (Papers of Mathematics or Applied Mathematics), Volume V.Florentin Smarandache - 2014 - Brussels, Belgium: EuropaNova.
    This volum includes 37 papers of mathematics or applied mathematics written by the author alone or in collaboration with the following co-authors: Cătălin Barbu, Mihály Bencze, Octavian Cira, Marian Niţu, Ion Pătraşcu, Mircea E. Şelariu, Rajan Alex, Xingsen Li, Tudor Păroiu, Luige Vlădăreanu, Victor Vlădăreanu, Ştefan Vlăduţescu, Yingjie Tian, Mohd Anasri, Lucian Căpitanu, Valeri Kroumov, Kimihiro Okuyama, Gabriela Tonţ, A. A. Adewara, Manoj K. Chaudhary, Mukesh Kumar, Sachin Malik, Alka Mittal, Neetish Sharma, Rakesh K. Shukla, Ashish K. Singh, Jayant (...)
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  27. An Expert System for Depression Diagnosis.Izzeddin A. Alshawwa, Mohammed Elkahlout, Hosni Qasim El-Mashharawi & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):20-27.
    Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...)
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  28. Responsible Research and Innovation in Industry – challenges, insights and perspectives.Vincent Blok, A. Martinuzzi, A. Brem, B. Stahl & N. Shonherr - 2018 - Sustainability 10 (10).
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  29. Hedged Assertion.Matthew A. Benton & Peter Van Elswyk - 2018 - In Sanford C. Goldberg (ed.), The Oxford Handbook of Assertion. Oxford University Press. pp. 245-263.
    Surprisingly little has been written about hedged assertion. Linguists often focus on semantic or syntactic theorizing about, for example, grammatical evidentials or epistemic modals, but pay far less attention to what hedging does at the level of action. By contrast, philosophers have focused extensively on normative issues regarding what epistemic position is required for proper assertion, yet they have almost exclusively considered unqualified declaratives. This essay considers the linguistic and normative issues side-by-side. We aim to bring some order and clarity (...)
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  30. When Traditional Essentialism Fails: Biological Natural Kinds.Robert A. Wilson, Matthew J. Barker & Ingo Brigandt - 2007 - Philosophical Topics 35 (1-2):189-215.
    Essentialism is widely regarded as a mistaken view of biological kinds, such as species. After recounting why (sections 2-3), we provide a brief survey of the chief responses to the “death of essentialism” in the philosophy of biology (section 4). We then develop one of these responses, the claim that biological kinds are homeostatic property clusters (sections 5-6) illustrating this view with several novel examples (section 7). Although this view was first expressed 20 years ago, and has received recent discussion (...)
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  31. Knowledge, Hope, and Fallibilism.Matthew A. Benton - 2021 - Synthese 198:1673-1689.
    Hope, in its propositional construction "I hope that p," is compatible with a stated chance for the speaker that not-p. On fallibilist construals of knowledge, knowledge is compatible with a chance of being wrong, such that one can know that p even though there is an epistemic chance for one that not-p. But self-ascriptions of propositional hope that p seem to be incompatible, in some sense, with self-ascriptions of knowing whether p. Data from conjoining hope self-ascription with outright assertions, with (...)
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  32. Epistemology Personalized.Matthew A. Benton - 2017 - Philosophical Quarterly 67 (269):813-834.
    Recent epistemology has focused almost exclusively on propositional knowledge. This paper considers an underexplored area of epistemology, namely knowledge of persons: if propositional knowledge is a state of mind, consisting in a subject's attitude to a (true) proposition, the account developed here thinks of interpersonal knowledge as a state of minds, involving a subject's attitude to another (existing) subject. This kind of knowledge is distinct from propositional knowledge, but it exhibits a gradability characteristic of context-sensitivity, and admits of shifty thresholds. (...)
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  33. Gricean Quality.Matthew A. Benton - 2016 - Noûs 50 (4):689-703.
    Some philosophers oppose recent arguments for the Knowledge Norm of Assertion by claiming that assertion, being an act much like any other, will be subject to norms governing acts generally, such as those articulated by Grice for the purpose of successful, cooperative endeavours. But in fact, Grice is a traitor to their cause; or rather, they are his dissenters, not his disciples. Drawing on Grice's unpublished papers, I show that he thought of asserting as a special linguistic act in need (...)
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  34. Knowledge is the Norm of Assertion.Matthew A. Benton - 2024 - In Blake Roeber, Ernest Sosa, Matthias Steup & John Turri (eds.), Contemporary Debates in Epistemology, 3rd edition. Wiley-Blackwell. pp. 329-339.
    Assertion is governed by an epistemic norm requiring knowledge. This idea has been hotly debated in recent years, garnering attention in epistemology, philosophy of language, and linguistics. This chapter presents and extends the main arguments in favor of the knowledge norm, from faulty conjunctions, several conversational patterns, judgments of permission, excuse, and blame, and from showing how. (Paired with a chapter by Peter J. Graham and Nikolaj J. L. L. Pedersen, "Knowledge is Not Our Norm of Assertion.").
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  35. Performance Efficiency of University Education from Students Perspective.Samia A. M. Abdalmenem, Rasha O. Owda, Amal A. Al Hila, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (11):10-24.
    The study aims to identify the efficiency of the university education performance from the perspective of postgraduate and undergraduate students in international and Palestinian universities. The analytical descriptive approach was used for this purpose and the questionnaire was used as a main tool for data collection. The study community consists of: post graduate students, (23850) graduate students and (146355) undergraduate students. The sample of the study was 378 graduate students and 383 undergraduate students. The random stratified sample was used. The (...)
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  36. Evil and Evidence.Matthew A. Benton, John Hawthorne & Yoaav Isaacs - 2016 - Oxford Studies in Philosophy of Religion 7:1-31.
    The problem of evil is the most prominent argument against the existence of God. Skeptical theists contend that it is not a good argument. Their reasons for this contention vary widely, involving such notions as CORNEA, epistemic appearances, 'gratuitous' evils, 'levering' evidence, and the representativeness of goods. We aim to dispel some confusions about these notions, in particular by clarifying their roles within a probabilistic epistemology. In addition, we develop new responses to the problem of evil from both the phenomenal (...)
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  37. The Eugenic Mind Project.Robert A. Wilson - 2018 - Cambridge, MA: MIT Press.
    The Eugenic Mind Project is a wide-ranging, philosophical book that explores and critiques both past and present eugenic thinking, drawing on the author’s intimate knowledge of eugenics in North America and his previous work on the cognitive, biological, and social sciences, the fragile sciences. Informed by the perspectives of Canadian eugenics survivors in the province of Alberta, The Eugenic Mind Project recounts the history of eugenics and the thinking that drove it, and critically engages contemporary manifestations of eugenic thought, newgenics. (...)
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  38. Formal inconsistency and evolutionary databases.Walter A. Carnielli, João Marcos & Sandra De Amo - 2000 - Logic and Logical Philosophy 8 (2):115-152.
    This paper introduces new logical systems which axiomatize a formal representation of inconsistency (here taken to be equivalent to contradictoriness) in classical logic. We start from an intuitive semantical account of inconsistent data, fixing some basic requirements, and provide two distinct sound and complete axiomatics for such semantics, LFI1 and LFI2, as well as their first-order extensions, LFI1* and LFI2*, depending on which additional requirements are considered. These formal systems are examples of what we dub Logics of Formal Inconsistency (LFI) (...)
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  39. God and Interpersonal Knowledge.Matthew A. Benton - 2018 - Res Philosophica 95 (3):421-447.
    Recent epistemology offers an account of what it is to know other persons. Such views hold promise for illuminating several issues in philosophy of religion, and for advancing a distinctive approach to religious epistemology. This paper develops an account of interpersonal knowledge, and clarifies its relation to propositional and qualitative knowledge. I then turn to our knowledge of God and God's knowledge of us, and compare my account of interpersonal knowledge with important work by Eleonore Stump on "Franciscan" knowledge. I (...)
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  40. Lying, Belief, and Knowledge.Matthew A. Benton - 2018 - In Jörg Meibauer (ed.), The Oxford Handbook of Lying. Oxford, United Kingdom: Oxford Handbooks. pp. 120-133.
    What is the relationship between lying, belief, and knowledge? Prominent accounts of lying define it in terms of belief, namely telling someone something one believes to be false, often with the intent to deceive. This paper develops a novel account of lying by deriving evaluative dimensions of responsibility from the knowledge norm of assertion. Lies are best understood as special cases of vicious assertion; lying is the anti-paradigm of proper assertion. This enables an account of lying in terms of knowledge: (...)
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  41. Intuitionistic Modal Algebras.Sergio A. Celani & Umberto Rivieccio - 2024 - Studia Logica 112 (3):611-660.
    Recent research on algebraic models of _quasi-Nelson logic_ has brought new attention to a number of classes of algebras which result from enriching (subreducts of) Heyting algebras with a special modal operator, known in the literature as a _nucleus_. Among these various algebraic structures, for which we employ the umbrella term _intuitionistic modal algebras_, some have been studied since at least the 1970s, usually within the framework of topology and sheaf theory. Others may seem more exotic, for their primitive operations (...)
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  42. Epistemological Aspects of Hope.Matthew A. Benton - 2019 - In Claudia Blöser & Titus Stahl (eds.), The Moral Psychology of Hope: An Introduction (The Moral Psychology of the Emotions). Rowman & Littlefield International. pp. 135-151.
    Hope is an attitude with a distinctive epistemological dimension: it is incompatible with knowledge. This chapter examines hope as it relates to knowledge but also to probability and inductive considerations. Such epistemic constraints can make hope either impossible, or, when hope remains possible, they affect how one’s epistemic situation can make hope rational rather than irrational. Such issues are especially relevant to when hopefulness may permissibly figure in practical deliberation over a course of action. So I consider cases of second-order (...)
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  43. Lying, accuracy and credence.Matthew A. Benton - 2018 - Analysis 78 (2):195-198.
    Traditional definitions of lying require that a speaker believe that what she asserts is false. Sam Fox Krauss seeks to jettison the traditional belief requirement in favour of a necessary condition given in a credence-accuracy framework, on which the liar expects to impose the risk of increased inaccuracy on the hearer. He argues that this necessary condition importantly captures nearby cases as lies which the traditional view neglects. I argue, however, that Krauss's own account suffers from an identical drawback of (...)
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  44. Theological Determinism and God's Standing to Blame.Justin A. Capes - forthcoming - Faith and Philosophy.
    I argue that God lacks the standing to blame or punish people for their sin if theological determinism is true, and that this is so even if sinners deserve both blame and punishment for sins God determines them to commit (and thus even if theological determinism is compatible with human free will and moral responsibility). I then respond to two recent objections to this conclusion, one by John Ross Churchill, the other by Patrick Todd. I conclude by noting several implications (...)
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  45. Type of Tomato Classification Using Deep Learning.Mahmoud A. Alajrami & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):21-25.
    Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, which (...)
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  46. (1 other version)Intensity and the Sublime: Paying Attention to Self and Environment in Nature Sports.Leslie A. Howe - 2017 - Sport, Ethics and Philosophy 13 (1):1-13.
    This paper responds to Kevin Krein’s claim in that the particular value of nature sports over traditional ones is that they offer intensity of sport experience in dynamic interaction between an athlete and natural features. He denies that this intensity is derived from competitive conflict of individuals and denies that nature sport derives its value from internal conflict within the athlete who carries out the activity. This paper responds directly to Krein by analysing ‘intensity’ in sport in terms of the (...)
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  47. Iffy predictions and proper expectations.Matthew A. Benton & John Turri - 2014 - Synthese 191 (8):1857-1866.
    What individuates the speech act of prediction? The standard view is that prediction is individuated by the fact that it is the unique speech act that requires future-directed content. We argue against this view and two successor views. We then lay out several other potential strategies for individuating prediction, including the sort of view we favor. We suggest that prediction is individuated normatively and has a special connection to the epistemic standards of expectation. In the process, we advocate some constraints (...)
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  48. Diagnosis of Pneumonia Using Deep Learning.Alaa M. A. Barhoom & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (2):48-68.
    Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...)
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  49. Green Human Resource Management Practices Among Palestinian Manufacturing Firms- An Exploratory Study.Samer Arqawi, Ahmed A. Zaid, Ayham A. M. Jaaron, Amal A. Al Hila, Mazen J. Al Shobaki & Samy S. Abu-Naser - 2019 - Journal of Resources Development and Management 59:1-8.
    Organizations are increasingly finding it challenging to balance economic and environmental performance particularly those that face competitive, regulatory and community pressure. With the increasing pressures for environmental sustainability, this calls for the new formulation of strategies by the manufacturers in order to minimize their products and services negative impact on the environment. Hence, Green Human Resource Management (GHRM) continues to be an important research agenda among the researchers. In Palestine, green issues are new and still developing. Constant study is needed (...)
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  50. The future, and what might have been.R. A. Briggs & Graeme A. Forbes - 2018 - Philosophical Studies 176 (2):505-532.
    We show that five important elements of the ‘nomological package’— laws, counterfactuals, chances, dispositions, and counterfactuals—needn’t be a problem for the Growing-Block view. We begin with the framework given in Briggs and Forbes (in The real truth about the unreal future. Oxford studies in metaphysics. Oxford University Press, Oxford, 2012 ), and, taking laws as primitive, we show that the Growing-Block view has the resources to provide an account of possibility, and a natural semantics for non-backtracking causal counterfactuals. We show (...)
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