Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. The aim of this study is to develop a deep learning model to predict the gender from retinal fundus images. The proposed model was based on the Xception pre-trained model. The proposed model was trained on 20,000 retinal fundus images from Kaggle depository. The dataset was preprocessed them split into three datasets (training, validation, Testing). After training and cross-validating the proposed model, (...) it was evaluated using the testing dataset. The result of testing, the area under receiver operating characteristic curve (AUROC) of the model was 0.99, precision, recall, f1-score and accuracy were 99%, precision, recall, f1-score and accuracy were 96.83%, 96.83%, 96.82% and 96.83% respectively.. Clinicians are presently unaware of dissimilar retinal feature variants between females and males, stressing the importance of model explain ability for the prediction of gender from retinal fundus images. The proposed deep learning may enable clinician-driven automated discovery of novel visions and disease biomarkers. (shrink)

Abstract: The rapid advancement of artificial intelligence (AI) has catalyzed significant developments in autonomous systems, which are increasingly shaping diverse sectors including transportation, robotics, and industrial automation. This paper explores the evolution of AI technologies that underpin these autonomous systems, focusing on their capabilities, applications, and the challenges they present. Key areas of discussion include the technological innovations driving autonomy, such as machine learning algorithms and sensor integration, and the practical implementations observed in autonomous vehicles, drones, and robotic systems. Additionally, (...) the paper addresses critical challenges including safety, ethical concerns, and regulatory issues that influence the deployment and acceptance of autonomous technologies. By examining current trends and future prospects, this research aims to provide a comprehensive overview of how AI is transforming the landscape of autonomous systems and to identify key areas for future research and development. (shrink)

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 (...) paper addresses the challenges faced in AI-driven medical imaging, including data quality, model interpretability, and ethical considerations. By examining recent advancements and real-world case studies, this paper provides insights into the current state of AI in medical imaging and its potential future directions. The findings highlight the ongoing evolution of AI technologies and their crucial role in advancing medical diagnostics and treatment strategies. (shrink)

Abstract: The economic and social effects of the phenomenon of the hidden economy include that some of the funds practiced by the hidden economic activity result from evasion of payment of taxes owed to the state, which necessarily means the lack of resources available to the state to finance its economic and social development programs. Through the ability to secure goods at prices lower than the prices of goods in the official sector and this is generated by encouraging the growing (...) phenomenon of counterfeiting and imitation, the basic premise that has been proven hidden economy affects the sustainable development of economic and social dimensions. The researcher relied on the analytical descriptive approach, which was concerned with describing the various aspects related to the effects of the hidden economy and the strategies adopted by the Sudan to limit it, with the aim of reaching logical results that enable the formulation of a proposed vision and solutions to the problem of study. This leads to the difficulty of correctly estimating the size of the variables of interest to policy makers, because it is difficult to measure and this has negative effects on estimating the rate of growth correctly, which leads to the development of policies that appear to be clear but in fact may Be the opposite. The researcher recommended based on the results should include the hidden economic activities that are linked to social and economic status characterized by poverty and unemployment within the integration approaches in the national economy taking into account the factor of creativity, the need to combat activities associated with organized crime and eliminate it and punish violators in strict application of laws Activation of deterrent laws and increase fines for those who They work in a hidden form, as well as those who employ them (informal employment) and show a greater degree of control and control of these forms of hidden employment. (shrink)

Abstract: The high rates of taxes and customs duties push many to practice various hidden economic activities ranging from tax evasion to money laundering. The basic premise is that the large size of the hidden economy has led to weak economic growth and sustainable development. The researcher relied on descriptive analytical methodology, which was concerned with describing the various aspects related to Sudan's adoption of taxes in financing its public budget and the increase in customs duties and administrative complexities in (...) order to reach logical results that enable the development of a proposed vision and solutions to the problem of study. Based on the results of the analysis, the researcher recommended the necessity of combating and eliminating the activities associated with organized crime and punishing the violators by strict enforcement of the laws, activating the deterrent laws and increasing fines for those who work in a hidden form. On those who hire them (informal employment) and show a greater degree of control and control of these forms of hidden employment. (shrink)

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 (...) face when adopting AI, such as data privacy concerns, integration difficulties, and the need for skilled professionals. The paper concludes by offering recommendations for successfully implementing AI solutions to maximize benefits while mitigating potential challenges. (shrink)

“Gecenin bir yarısı kalktığınızı düşünün; bedeniniz yatağın ayakları arasında tam olarak ne kadar aralık olduğunu ve ne yapması gerektiğini bilir. Bir bakıma, etrafınızdaki mekân sizinle konuşur ve incelikle kurulmuş ritim oyunları arasına yerleştirir sizi. Mekânı hareket, ses ve doku ritimleriyle özümsediğimiz —etrafımızdakilerle yankılandığımız— her gün dolu dolu yaşanan bir olaydır bu. Mekân ve zaman bedende birleşir. Bu derin beden bilinci tam da yerleşmenin tanımıdır. Bachelard mimarinin Öklidci geometriye dayanarak anlaşılmasından kurtarıp mekânın yaratıcı poetikasına ulaştırdı bizi.” -/- Gaston Bachelard’ın hayranlık uyandıran (...) mekân çalışmalarını farklı disiplinlerle birlikte kat etmeyi amaçlayan bu kitap, okurunu hem Bachelard’la hem de onun felsefi, edebi, mimari, tasarım yorumlarıyla buluşturuyor. Farklı disiplinlerin “mekân” fikrinden hareketle aslında sadece mimari için değil ilgili her disiplin için sorulması gereken soruyu gündeme getiriyor: “Mimarlar neden Bachelard okur?” Elinizdeki derleme barındırdığı metin ve görsel çeşitliliğiyle mekânların ritmini bulmaya çalışıyor. Mimari, felsefe ve edebiyat meraklısı okurların keyifle peşine düşeceği bir serüven sunduğumuzu düşünüyoruz. (shrink)

In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on social media, and content-editing bots in online collaboration communities. The online world has turned into an ecosystem of bots. However, our knowledge of how these automated agents are interacting with each other is rather poor. Bots are predictable automatons that do not have the capacity for emotions, meaning-making, creativity, and sociality (...) and it is hence natural to expect interactions between bots to be relatively predictable and uneventful. In this article, we analyze the interactions between bots that edit articles on Wikipedia. We track the extent to which bots undid each other’s edits over the period 2001–2010, model how pairs of bots interact over time, and identify different types of interaction trajectories. We find that, although Wikipedia bots are intended to support the encyclopedia, they often undo each other’s edits and these sterile “fights” may sometimes continue for years. Unlike humans on Wikipedia, bots’ interactions tend to occur over longer periods of time and to be more reciprocated. Yet, just like humans, bots in different cultural environments may behave differently. Our research suggests that even relatively “dumb” bots may give rise to complex interactions, and this carries important implications for Artificial Intelligence research. Understanding what affects bot-bot interactions is crucial for managing social media well, providing adequate cyber-security, and designing well functioning autonomous vehicles. (shrink)

Abstract: The efficiency and performance of sorting algorithms play a crucial role in various applications and industries. In this research paper, we present a comprehensive comparative analysis of popular sorting algorithms on datasets of different sizes and characteristics. The aim is to evaluate the algorithms' performance and identify their strengths and weaknesses under varying scenarios. We consider six commonly used sorting algorithms: QuickSort, TimSort, MergeSort, HeapSort, RadixSort, and ShellSort. These algorithms represent a range of approaches and techniques, including divide-and-conquer, hybrid (...) sorting, and simple comparison-based methods. To assess their performance, we employ a diverse set of datasets, including the Iris dataset (1K), student dataset (5.8K), Wine dataset (6.5K), Uniform (10K), Normal (10K), Exponential (10K), Bimodal (10K), Yelp dataset (10K), MNIST dataset (42K), Uniform (100K), Normal (100K), Exponential (100K), Bimodal (100K), Uniform (500K), Normal (500K), Exponential (500K), Bimodal (500K), Uniform (1M), Normal (1M), Exponential (1M), and Bimodal (1M). These datasets cover a wide range of sizes and characteristics, allowing us to analyze the algorithms' performance across different dimensions. We measure and compare several key metrics, including execution time, memory usage, algorithmic complexity and stability. By analyzing these metrics, we gain insights into the efficiency and suitability of each algorithm for different dataset sizes and characteristics. We also discuss the implications of the findings in practical applications. Our results reveal important trade-offs among the sorting algorithms. While some algorithms excel in certain scenarios, others demonstrate better scalability or memory efficiency. We identify the best-performing algorithms for specific dataset characteristics and highlight their strengths and limitations. This research can assist developers and practitioners in selecting appropriate sorting algorithms based on their specific requirements and dataset characteristics. In conclusion, this comparative analysis provides a valuable contribution to the understanding of sorting algorithm performance. The findings contribute insights into the efficiency and suitability of popular sorting algorithms across datasets of different sizes and characteristics. By evaluating key metrics and discussing the implications, we offer guidance for selecting the most appropriate sorting algorithm in various practical scenarios. (shrink)

According to the literature review, there is much room for improvement of college student retention. The aim of this research is to evaluate the possibility of using deep and machine learning algorithms to predict whether students continue to attend college or will stop attending college. In this research a feature assessment is done on the dataset available from Kaggle depository. The performance of 20 learning supervised machine learning algorithms and one deep learning algorithm is evaluated. The algorithms are trained using (...) 11 features from 1000 records of previous student registrations that have been enrolled in college. The best performing classifier after tuning the parameters was NuSVC. It achieved Accuracy (91.00%), Precision (91.00%), Recall (91.00%), F1-score (91.00%), and time required for training and testing (0.04 second). Additionally, the proposed DL algorithm scored: Accuracy (93.00%), Precision (93.00%), Recall (93.00%), F1-score (93.00%), time required for training and testing (0.66 second) for predicting whether student will continue to attend college or not. (shrink)

This tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. (...) Gandotra, Sudipta Gayen, Vassilis C. Gerogiannis, Noel Batista Hernández, Hongnian Yu, Hongbo Wang, Mihaiela Iliescu, F. Nirmala Irudayam, Sripati Jha, Darjan Karabašević, T. Katican, Bakhtawar Ali Khan, Hina Khan, Volodymyr Krasnoholovets, R. Kiran Kumar, Manoranjan Kumar Singh, Ranjan Kumar, M. Lathamaheswari, Yasar Mahmood, Nivetha Martin, Adrian Mărgean, Octavian Melinte, Mingcong Deng, Marcel Migdalovici, Monika Moga, Sana Moin, Mohamed Abdel-Basset, Mohamed Elhoseny, Rehab Mohamed, Mohamed Talea, Kalyan Mondal, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Ihsan, Muhammad Naveed Jafar, Muhammad Rayees Ahmad, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Mujahid Abbas, Mumtaz Ali, Radu I. Munteanu, Ghulam Murtaza, Munazza Naz, Tahsin Oner, ‪Gabrijela Popović‬‬‬‬‬, Surapati Pramanik, R. Priya, S.P. Priyadharshini, Midha Qayyum, Quang-Thinh Bui, Shazia Rana, Akbara Rezaei, Jesús Estupiñán Ricardo, Rıdvan Sahin, Saeeda Mirvakili, Said Broumi, A. A. Salama, Flavius Aurelian Sârbu, Ganeshsree Selvachandran, Javid Shabbir, Shio Gai Quek, Son Hoang Le, Florentin Smarandache, Dragiša Stanujkić, S. Sudha, Taha Yasin Ozturk, Zaigham Tahir, The Houw Iong, Ayse Topal, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Rizha Vitania, Luige Vlădăreanu, Victor Vlădăreanu, Ștefan Vlăduțescu, J. Vimala, Dan Valeriu Voinea, Adem Yolcu, Yongfei Feng, Abd El-Nasser H. Zaied, Edmundas Kazimieras Zavadskas.‬‬. (shrink)

Writer, book and reader. Without writer and writings wouldn’t have been a reader. Hence, there wouldn’t have been criticism. The basis of human intellectual criticism depends on three basic elements: The writer, the book, and the reader. Criticism was essentially linked with the discovery of writing. Criticism as an idea is basically linked with human consciousness. Maturity, writing has merely added a new dimension to it namely criticism and synthesis, in which literature and philosophy has contributed greatly, despite the differences (...) between the two subject. Philosophy does not define one method for itself , for there are many trends and methods. Despite the differences in philosophers’ views on methods, there is a sort of unanimous of agreement among them on the method of analysis and synthesis. Literature is like philosophy, literary critic does not write for himself or merely for the enjoyment of his reader. He is in fact considered one of the tools that help the reader to understand the text of the criticized subject . We have many examples in the heritage of the Arab literary criticism. For example the writing of Taha Hussein in “Wednesday Talk” and his book on “ Matanabi”. Sometimes the literary critic helps the artist in understanding his art, as “Al Akaad” and “ Al Mazni” did in “ Al Diwan”. -/- As we saw the philosopher can build his philosophy while the literary critic can implement his purpose, we will try here to review and analyze the status of philosophical and literary criticism and then try to define the points of agreement and disagreement between them. (shrink)

Pe tradición filosófica umi enfoque moral rehegua oñemopyenda predominantemente umi concepto ha teoría metafísica ha teológica-pe. Umi concepto tradicional ética rehegua apytépe, ojehecharamovéva ha’e Teoría de Comando Divino (TCD). TCD he’iháicha, Ñandejára ome’ẽ pyenda moral yvypórape ojejapo guive ha umi revelación rupive. Péicha, pe moralidad ha divinidad ndojeseparái va’erãmo’ã pe civilización mombyryvéva guive. Ko'ã concepto oime sumergido peteî estructura teológica ha oasepta principalmente mayoría umi omoirûva mbohapy tradición abrahámica: judaísmo, cristianismo ha islam, oimehápe parte considerable población humana. Oñongatúvo jerovia ha (...) Apocalipsis ifundamento ramo, umi Teorías de Mando Divino noĩri estrictamente sujeto mba’eveichagua tipo de demostración-pe. Umi opositor concepción moral Comando Divino rehegua, oñemopyendáva imposibilidad ohechauka haĝua umi suposición metafísica ha religiosa orekóva, oñeha’ã heta siglo aja odevalorávo importancia orekóva. Oipytyvõ hikuái argumento teoría ndohechaukái evidencia material ha coherencia lógica ha, péva rehe, ndikatúi ojeguereko en cuenta propósito científico térã filosófico. Pe entendimiento moral oikotevẽ peteĩ percepción ha acuerdo tuichavéva umi filósofo apytépe, araka’eve ndohupytýiva hikuái. Universo ha atmósfera ojeréva ko estudio rehe ha'e umi dominio opavave ko'ã conflicto conceptual, ojehecháva punto de vista objetivo ha evolutivo. Taha'e ha'éva ko circunstancia ha importancia intrínseca orekóva, ko'ã porandu mombyry eterei enfoque metodológico peteî discusión analítica moralidad objetiva rehe, ha'éva, añetehápe, objetivo ha alcance ko tembiapo. Jahecha jeyva’erã mbykymi ko’ã teoría tradicional iñimportánteva, ko investigación ha’égui peteĩ estudio comparativo, ha umi suposición orekóva por lo menos tuicha iñambue opaite teoría tradicional-gui. Upévare oñeikotevê oñeikuave'ê moñe'êhárape, ko texto-pe, elemento directo ha específico ombojojáva crítica válida-pe guarã, odispensávo investigación interruptiva. Ha katu, jepe jahecha jey umi teoría tradicional, upevarã exposición comparativa ha crítica, oñeñongatúta ñande preocupación principal ykére, ha'eháicha "aliena materia". Hembipotápe ore estudio ohechauka ha ohustifika existencia ha significado arquetipo moral prehistórico heñóiva directamente principio fundamental, tekotevê social ha ñeha'ã sobrevivencia rehe. Ko'ã arquetipo ha'e definición fundamento esencial ética, agregación orekóva organización lógica colectiva inconsciente ha correspondiente ha transmisión umi etapa evolutiva genoma humano ha umi relación espacio-tiempo iñambuéva, independientemente oimeraê experiencia contemporánea umi tapicha. Ko sistema odefiníva ko'ã arquetipo omoheñói modelo social humano evolutivo. Ko razonamiento he'ise pe moralidad ha'eha peteî atributo primario "homo sapiens" rehegua; ndaha’éi peteĩ mba’e ni peteĩ accidente: ombojoaju yvypóra esencia ha oike yvypóra identidad ontológica reino-pe. Pe fenómeno yvypóra ha’e peteĩ proceso continuo, omboguatáva ifunción determinación aleatoria ha libre albedrío apytépe, ha tekotevẽ ñacuestiona mba’éichapa oñepyrũ pe moralidad ha mba’éichapa ou ñandéve ko’áĝa. (shrink)