The Role of Artificial Intelligence in Personalized Medicine: A Computer Science Perspective by Raul Mihai RADULESCU

“…It looks at how healthcare AI techniques like deep learning, natural language processing, or even predictive analytics can revolutionize the industry by changing how treatments are administered to be based on the individual profiles of each patient. …”
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Number Recognition Through Color Distortion Using Convolutional Neural Networks by Christopher Henshaw, Jacob Dennis, Jonathan Nadzam, Alan J. Michaels

“…Recent use of Large Language Models (LLMs) in natural language search and generation of text have improved performance for general images, yet performance limitations still exist for data subsets related to color blindness. In this paper, we replicated the training of six distinct neural networks (MNIST, LeNet5, VGG16, AlexNet, and two AlexNet modifications) using deep learning techniques with the MNIST dataset and the Ishihara-Like MNIST dataset. …”
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Biometry-based verification system with symmetric key generation method for internet of things environments by Sabina Szymoniak, Mariusz Kubanek

“…Abstract The Internet of Things refers to networks of physical, technological devices connected via the Internet, allowing them to communicate and exchange data. Such environments face security issues like verifying users using Internet of Things devices, for example, in a company or hospital or properly securing user communication. …”
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Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm by Alaa O. Khadidos, Ayman Yafoz

“…At first, the image pre-processing stage applies the Weiner filter (WF) method to enhance image quality by eliminating the unwanted noise from the data. …”
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Architectural Synergies in Bi-Modal and Bi-Contrastive Learning by Yujia Gu, Brian Liu, Tianlong Zhang, Xinye Sha, Shiyong Chen

“…Traditionally, such models have been developed independently, using methods like contrastive learning and image-captioning to boost their analytical and creative outputs. …”
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Evaluation of large language models as a diagnostic tool for medical learners and clinicians using advanced prompting techniques. by Karolina Gaebe, Benjamin van der Woerd

“…<h4>Background</h4>Large language models (LLMs) have demonstrated capabilities in natural language processing and critical reasoning. Studies investigating their potential use as healthcare diagnostic tools have largely relied on proprietary models like ChatGPT and have not explored the application of advanced prompt engineering techniques. …”
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Comparative Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4.0 in Answering Questions From a Brazilian National Medical Exam: Cross-Sectional Questionnaire Study by Mateus Rodrigues Alessi, Heitor Augusto Gomes, Gabriel Oliveira, Matheus Lopes de Castro, Fabiano Grenteski, Leticia Miyashiro, Camila do Valle, Leticia Tozzini Tavares da Silva, Cristina Okamoto

“… Abstract BackgroundArtificial intelligence has advanced significantly in various fields, including medicine, where tools like ChatGPT (GPT) have demonstrated remarkable capabilities in interpreting and synthesizing complex medical data. …”
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Challenges and opportunities for green transitions adoption in Kenya's textile manufacturing industry by Dinah Awino

“…This study, conducted between September 2023 and August 2024, investigates the opportunities and challenges presented in a green transition and practical efforts toward green transition in selected Kenyan textile mills, specifically at the Thika Cloth Mill and Rivatex East Africa company.MethodsUtilizing qualitative data analyzed thematically, the research explored demographic influences on sustainability efforts, revealing critical insights into the barriers and potential pathways for green growth in the industry.ResultsKey findings include significant waste generation in spinning and processing departments, high water dependency, reliance on non-renewable energy sources like coal and firewood, and limited awareness of sustainability practices among industry players. …”
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Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy by Moustaq Karim Khan Rony, Dipak Chandra Das, Most. Tahmina Khatun, Silvia Ferdousi, Mosammat Ruma Akter, Mst. Amena Khatun, Most. Hasina Begum, Md Ibrahim Khalil, Mst. Rina Parvin, Daifallah M Alrazeeni, Fazila Akter

“…AI, with its advanced data-processing capabilities, offers innovative solutions to these complexities. …”
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Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review by Avneet Kaur, Gurjit S. Randhawa, Farhat Abbas, Mumtaz Ali, Travis J. Esau, Aitazaz A. Farooque, Rajandeep Singh

“…It highlights the need for proficient disease control by integrating image and climate data. It further aids in addressing challenges like data availability and geographical variations. …”
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Automatic Identification of Amharic Text Idiomatic Expressions Using a Deep Learning Approach by Habtamu Hunegnaw Limenih, Abebe Belay Adege, Abrham Yaregal Alene, Habtamu Tariku Demasu, Habtamu Molla Belachew

“…Natural Language Processing (NLP) is a tract of artificial intelligence and linguistics devoted to making computers understand the statements or words written in human languages. …”
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Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study by Yernazar Bolat, Iain Murray, Yifei Ren, Nasim Ferdosian

“…The growing adoption of IoT applications has led to increased use of low-power microcontroller units (MCUs) for energy-efficient, local data processing. However, deploying deep neural networks (DNNs) on these constrained devices is challenging due to limitations in memory, computational power, and energy. …”
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Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models. by Ali Alhazmi, Rohana Mahmud, Norisma Idris, Mohamed Elhag Mohamed Abo, Christopher Ifeanyi Eke

“…To achieve the objectives, the methodology used includes data collection, data pre-processing, feature extraction, the construction of classification models, and the evaluation of the constructed classification models. …”
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Enhanced remote sensing image feature classification using STFF-PSPNet by Haiying Li, Jiaqi Gao, Yang Liu, Chenxi Huang, Lijun Li, Liqiang Zhang

“…Abstract Semantic segmentation of remotely sensed images is crucial for urban planning and change detection, yet faces issues like sample imbalance and low data quality. This study compiles a GF-2 image dataset and refines the PSPNet model. …”
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I am Once Again Asking for Your Attention: A Replication of Feature-Based Attention Modulations of Binding Effects with Picture Stimuli by Tarini Singh, Lars-Michael Schöpper, Christian Frings

“…This was the case even for features generally believed to be automatically processed, like valence. Since previous research has shown differences in the processing of word and picture stimuli, it is questionable whether the attentional modulations in the above study would extend to picture stimuli. …”
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Assessment of advancements and applications of robotics, artificial intelligence, and automated technology in the modern food sector by Shweta, Ashique Mohammed, Meisam Mohammadi, Sunny Sharma, Umesh Sharma, Vishal Singh Rana, Mohit Kumar, Sonia Sood, Ghasem Eghlima

“…These challenges have driven the adoption of advanced technologies like robotics and AI. The food sector includes many operations, including manufacturing, processing, shipment, distribution, formation, conservation, and food service. …”
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Evaluating environmental impacts of thorium extraction: A comparative study of solvent and electrosorption technologies using life cycle assessment (LCA) by Naseem Akhtar, Aznan Fazli Ismail, Marlia Mohd Hanafiah, Syazwani Mohd Fadzil, Sulgiye Park

“…Despite their importance, previous studies have largely overlooked critical issues like radioactive hazards, human health risks, and environmental impacts associated with advanced thorium extraction methods. …”
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Considerations of Cloud Computing Contracts at the Conclusion Stage by Mohammadali Hasanian, Esmaeil Shahsavandi, Amirabbas Bozorgmehr

“…One of the most important challenges of these contracts is issues related to data security and user privacy. In many cases, users do not have complete awareness of their rights regarding data stored in the cloud, how this data is processed, and the extent of access of cloud service providers to their personal information. …”
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IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400 by Ahmad Saeed Mohammad, Thoalfeqar G. Jarullah, Musab T. S. Al-Kaltakchi, Jabir Alshehabi Al-Ani, Somdip Dey

“…IoT applications revolutionize industries by enhancing operations, enabling data-driven decisions, and fostering innovation. …”
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A hybrid approach to advanced NER techniques for AI-driven water and agricultural resource management by Dong Yan, Ming Lei, Yingying Shi

“…IntroductionNamed Entity Recognition (NER) plays a crucial role in extracting valuable insights from unstructured text in specialized domains like agriculture and water resource management. These fields face challenges such as complex terminologies, heterogeneous data distributions, data scarcity, and the need for real-time processing, which hinder effective NER. …”
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