Stroke Risk Classification Using the Ensemble Learning Method of XGBoost and Random Forest by Gullam Almuzadid, Egia Rosi Subhiyakto

“…This study proposes a stroke risk classification model using ensemble learning that combines Random Forest and XGBoost algorithms. A Kaggle dataset with 5110 samples (249 stroke, 4861 non-stroke) presented significant class imbalance. …”
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Effects of using wearable devices to monitoring physical activity in pulmonary rehabilitation programs for chronic respiratory diseases: A systematic review protocol. by Thaianne Rangel Agra Oliveira, Ana Tereza do Nascimento Sales Figueiredo Fernandes, Thayla Amorim Santino, Fernanda Elizabeth Pereira da Silva Menescal, Patrícia Angélica de Miranda Silva Nogueira

“…Studies that discuss only the development of algorithms or applications for the assessment of diseases or unavailable full texts will be excluded. …”
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Exploration and Construction of Personalized Customization Mode in Modern Fashion Design by Sun Huaiqun

“…The article focuses on constructing a personalized customization implementation path based on big data analysis, artificial intelligence algorithms, and online interaction platforms, covering key links such as demand analysis, virtual fitting, and on-demand production. …”
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Metrics and Science Monograph Collections at the Marston Science Library, University of Florida. by Michelle F. Leonard, Stephanie C. Haas, Vernon N. Kisling

“… As academic libraries are increasingly supported by a matrix of database functions, the use of data mining and visualization techniques offer significant potential for future collection development and service initiatives based on quantifiable data. While data collection techniques are still not standardized and results may be skewed because of granularity problems, faulty algorithms, and a host of other factors, useful baseline data is extractable and broad trends can be identified. …”
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AI language and emotional support as a physician assistant in hypertension management: an N-of-1 case study on virtual encouragement and blood pressure control by Abdullah Al Fraidan

“…The results underscore the need for future AI development to integrate advanced contextual learning algorithms and multimodal adaptive capabilities to enhance real-time personalization and responsiveness in chronic disease management. …”
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An enhanced image protection framework: polynomial-based secret sharing meets information hiding by Xiaopeng Li, Zhengxin Fu, Yuan Gao, Bin Yu

“…Secret image sharing has emerged as a prominent research topic in recent years, aiming to transfer meaningful shares while ensuring that covert communication activities remain hidden from potential attackers' monitoring and analysis. …”
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Racial bias in AI-mediated psychiatric diagnosis and treatment: a qualitative comparison of four large language models by Ayoub Bouguettaya, Elizabeth M. Stuart, Elias Aboujaoude

“…NewMes-15 exhibited the highest degree of racial bias, while Gemini showed the least. These findings underscore critical concerns about the potential for AI to perpetuate racial disparities in mental healthcare, emphasizing the necessity of rigorous bias assessment in algorithmic medical decision support systems.…”
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Shape optimization using a level set based mesh evolution method: an overview and tutorial by Dapogny, Charles, Feppon, Florian

“…This article revolves around a recent numerical framework for shape and topology optimization, which features an exact mesh of the shape at each iteration of the process, while still leaving the room for an arbitrary evolution of the latter (including changes in its topology). …”
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Wineinformatics: Wine Score Prediction with Wine Price and Reviews by Yuka Nagayoshi, Bernard Chen

“…These results indicate that incorporating price as an attribute enhances machine learning algorithms’ ability to recognize the correlation between wine reviews and scores.…”
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Cooperative Graph-Based Predictive Collision Avoidance (CGPCA): A Decentralized Framework for Safe Drone Traffic Management by Fariborz Rasoulie

“…Cooperative Graph-based Predictive Collision Avoidance (CGPCA) is a novel, decentralized approach designed to manage and control drone traffic while preventing collisions with both other drones and surrounding obstacles. …”
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Digital Watermarking Technology for AI-Generated Images: A Survey by Huixin Luo, Li Li, Juncheng Li

“…The rapid advancement of AI-generated content (AIGC) has significantly improved the realism and accessibility of synthetic images. While large image generation models offer immense potential in creative industries, they also introduce serious challenges, including copyright infringement, content authentication, and the traceability of generated images. …”
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A Novel Active RFID and TinyML based system for livestock Localization in Pakistan by Syed Atir Raza Shirazi, Maham Fatima, Abdul Wahab, Sadaf Ali

“…The incorporation of Active RFID technology allows for precise and long-range livestock tracking, while TinyML provides on-device analysis and decision-making. …”
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Assessment of the Magnetic Hysteretic Behaviour of MR Dampers through Sensorless Measurements by Janusz Gołdasz, Bogdan Sapinski, Łukasz Jastrzębski

“…The procedure allows to analyze the magnetic hysteresis independently of other sources of hysteresis in MR dampers; on this basis, more effective damper models and control algorithms can be developed in the future.…”
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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets. by Kazi Arman Ahmed, Israt Humaira, Ashiqur Rahman Khan, Md Shamim Hasan, Mukitul Islam, Anik Roy, Mehrab Karim, Mezbah Uddin, Ashique Mohammad, Md Doulotuzzaman Xames

“…This study employs various machine learning (ML) algorithms, including KNN, SVM, ANN, RF, XGBoost, ensemble models, AutoML, and deep learning (DL) techniques, to enhance breast cancer diagnosis. …”
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Artificial Intelligence Applied on Traffic Planning and Management for Rail Transport: A Review and Perspective by Jiamin Zhang, Jiarui Zhang

“…Artificial intelligence (AI) has received much attention in the domain of railway traffic planning and management (TPM) from academia and industries. While many promising applications have been reported, there remains a lack of detailed review of the many AI models/algorithms and their uses and adaptations in rail TPM. …”
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Upholding human dignity in AI: Advocating moral reasoning over consensus ethics for value alignment by Octavian-Mihai Machidon

“…Through case studies like social media recommendation algorithms that exploit users’ vulnerabilities, particularly those of children and teenagers, the paper highlights the risks of AI systems driven by profit-oriented metrics without ethical oversight. …”
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Dielectric tensor prediction for inorganic materials using latent information from preferred potential by Zetian Mao, WenWen Li, Jethro Tan

“…We develop an equivariant readout decoder to predict total, electronic, and ionic dielectric tensors while preserving O(3) equivariance, and benchmark its performance against state-of-the-art algorithms. …”
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Short-Circuit Protection Schemes for LVDC Microgrids Based on the Combination of Hybrid Circuit Breakers and Mechanical Breakers by Riccardo Lazzari, Luigi Piegari

“…Indeed, the traditional protection breakers used for an AC grid cannot isolate the faults and protect the components of a DC grid, while the use of solid-state circuit breakers increases energy losses. …”
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Optimal H.264 Scalable Video Scheduling Policies for 3G/4G Wireless Cellular and Video Sensor Networks by Vamseedhar R. Reddyvari, Aditya K. Jagannatham

“…We consider the problem of optimal H.264 scalable video scheduling, with an objective of maximizing the end-user video quality while ensuring fairness in 3G/4G broadband wireless networks and video sensor networks. …”
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Biometric Authentication Using Chest Wall Displacement Recorded by VHF-Band Loop Antenna by Shun Hinatsu, Saki Wada

“…We then applied non-fiducial techniques and classification algorithms to the signals under both intra- and inter-recording states. …”
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