AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts by Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Hong-Ning Dai, Feng Zhao, Jianming Yong

“…The performance is compared with baseline models, including Q-Learning, PPO, Actor-Critic, Double DQN, and DDPG, as well as existing monitoring frameworks like WISEML and CA-MAQL. Hyperparameter optimization is also performed to fine-tune learning rates and discount factors. …”
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Meta-Ensemble Learning for Heart Disease Prediction: A Stacking-Based Approach With Explainable AI by Mehwish Naz, Aqsa Khalid, Abdul Hameed, Rabia Taj, Waleed Mumtaz, Faiz Abdullah Alotaibi, Mrim M. Alnfiai

“…Overall, the results demonstrate the robustness and practical applicability of the proposed framework for early detection and clinical management of heart disease.…”
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A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation by Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo

“…A systematic preprocessing pipeline was developed to enhance model performance, including outlier detection and feature normalization. Hyperparameter optimization process in this study uses the Water Cycle Algorithm (WCA), a metaheuristic method inspired by natural processes. …”
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Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence by Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam

“…Abstract Background and objective Early detection and classification of skin cancer are critical for improving patient outcomes. …”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…Finally, the beluga whale optimization (BWO) technique alters the hyperparameter range of the TPA‐BiGRU model optimally and results in greater classification performance. …”
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From Narratives to Diagnosis: A Machine Learning Framework for Classifying Sleep Disorders in Aging Populations: The <i>sleepCare</i> Platform by Christos A. Frantzidis

“…Each model was evaluated using stratified train-test splits and 10-fold cross-validation. Hyperparameter tuning via GridSearchCV optimized performance. …”
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Leveraging explainable artificial intelligence with ensemble of deep learning model for dementia prediction to enhance clinical decision support systems by Mohamed Medani, Ghada Moh. Samir Elhessewi, Mohammed Alqahtani, Somia A. Asklany, Sulaiman Alamro, Da’ad Albalawneh, Menwa Alshammeri, Mohammed Assiri

“…Deep learning (DL) and machine learning (ML) are current techniques for detecting and classifying dementia and making decisions without human participation. …”
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Multiclass aerial image recognition using improved Black Widow Optimization with deep learning on unmanned aerial networks imaging by Mahmoud Ragab, Bandar M. Alghamdi, Sami Saeed Binyamin, Sultan Algarni, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani

“…Furthermore, the MAIR-IBWODL method employs the IBWO method for the hyperparameter range of the SE-DenseNet model. Also, the attention long short-term memory (ALSTM) technique is implemented for classification. …”
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Wheat Powdery Mildew Severity Classification Based on an Improved ResNet34 Model by Meilin Li, Yufeng Guo, Wei Guo, Hongbo Qiao, Lei Shi, Yang Liu, Guang Zheng, Hui Zhang, Qiang Wang

“…Subsequently, the optimal training strategy was determined through hyperparameter tuning experiments, and GrabCut-based background processing along with data augmentation were introduced to enhance model robustness. …”
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Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective by Zhexuan Liu, Rong Ma, Yiqiao Zhong

“…As a remedy, we develop two types of point-wise diagnostic scores to detect unreliable embedding points and improve hyperparameter selection, which are validated on datasets from computer vision and single-cell omics.…”
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Penerapan Deep Convolutional Generative Adversarial Network Untuk Menciptakan Data Sintesis Perilaku Pengemudi Dalam Berkendara by Michael Stephen Lui, Fitra Abdurrachman Bachtiar, Novanto Yudistira

“…One of the solutions to prevent vehicle crash is by using external sensor to detect road condition. Yet, most crash happened because of driver distraction, which is hard to detect using external sensor. …”
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Penerapan Decision Tree dan Random Forest dalam Deteksi Tingkat Stres Manusia Berdasarkan Kondisi Tidur by Sza Sza Amulya Larasati, Elok Nuraida Kusuma Dewi, Brahma Hanif Farhansyah, Fitra Abdurrachman Bachtiar, Fajar Pradana

“…The results of this research are expected to provide insights for other researchers in the same field and can serve as a reference for detecting ongoing stress. …”
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Automated System Using HMM for Lung Disease Recognition Based on Cough Sounds by Shing-Tai Pan, Bo-Kai Lee, You-Qian Wu

“…The main purpose of this paper is to recognize multiple lung diseases simultaneously when a cough sound is detected. In addition to detecting whether the person producing the cough sound has a lung disease, it can also identify which disease the person has. …”
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The impact of signal variability on COVID-19 epidemic growth rate estimation from wastewater surveillance data. by Ewan Colman, Rowland Kao

“…The output depends on a hyperparameter that controls the sensitivity to variability in the underlying data. …”
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Revolutionizing heart attack prognosis: Introducing an innovative regression model for prediction by Hanaa Albanna, Madhav Raj Theeng Tamang, Chandan Patel, Mhd Saeed Sharif

“…The methodology involved comprehensive data preprocessing, class imbalance handling, and hyperparameter tuning to optimize model performance. Performance metrics included Accuracy, Precision, Recall, F1-score, and AUC-ROC. …”
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Leveraging AI in ayurvedic agriculture: A RAG chatbot for comprehensive medicinal plant insights using hybrid deep learning approaches by Biplov Paneru, Bipul Thapa, Bishwash Paneru

“…Traditional methods for detecting plants as well as generating insights on them are often inefficient and time-consuming due to the manual research need and expertise required in plant and biological lives. …”
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Myocarditis Diagnosis Using Semi-Supervised Generative Adversarial Network and Differential Evolution by Haifeng Gui, Na Zhang

“…To minimize reliance on hyperparameters, the Random Key method is employed, optimized using the DE algorithm. …”
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Early prediction of CKD from time series data using adaptive PSO optimized echo state networks by Thangadurai Anbazhagan, Balamurugan Rangaswamy

“…Presently, existing methods that effectively detect CKD cannot detect symptoms early on. This problem motivates researchers to work on a predictive model that successfully detects disease symptoms in the early stages. …”
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Comparative Analysis of Traditional and Modern NLP Techniques on the CoLA Dataset: From POS Tagging to Large Language Models by Abdessamad Benlahbib, Achraf Boumhidi, Anass Fahfouh, Hamza Alami

“…These challenges include distinguishing between subtle grammatical errors, understanding complex syntactic structures, and detecting semantic inconsistencies, all of which make the task difficult even for human annotators. …”
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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model by Md. Siddikur Rahman, Miftahuzzannat Amrin, Md. Abu Bokkor Shiddik

“…Results Our study findings detected a nonlinear effect of climatic parameters on dengue at different thresholds such as mean (27°C), minimum (22°C), maximum temperatures (32°C), and relative humidity (82%). …”
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