Comprehensive evaluation of machine learning models for predicting the cognitive status of Alzheimer's disease subjects and susceptible by Lucien Gnegne Meteumba, Vaghawan Prasad Ojha, Shantia Yarahmadian

“…We train more than 900 different combination of feature selector, models and hyperparameters. At last, we assess the performance of the models on multiple performance measures (accuracy, sensitivity, specificity and area under the ROC curve (AUC)). …”
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Maximum Entropy Principle Based on Bank Customer Account Validation Using the Spark Method by Xiaorong Qiu, Ye Xu, Yingzhong Shi, S. Kannadhasan Deepa, S. Balakumar

“…This approach will have a mapping from clustering and feature extraction to classification for accurate detection. …”
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Enhanced and Interpretable Prediction of Multiple Cancer Types Using a Stacking Ensemble Approach with SHAP Analysis by Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

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A Weighted Facial Expression Analysis for Pain Level Estimation by Parkpoom Chaisiriprasert, Nattapat Patchsuwan

“…This study proposes a novel weighted analytical framework that integrates facial expression analysis through action units (AUs) with a facial feature-based weighting mechanism to enhance the estimation of pain intensity. …”
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GS-GVINS: A Tightly-Integrated GNSS-Visual-Inertial Navigation System Augmented by 3D Gaussian Splatting by Zelin Zhou, Shichuang Nie, Saurav Uprety, Hongzhou Yang

“…However, most integrated systems rely on feature-tracking based visual odometry, which suffers from the problem of feature sparsity, high dynamics, significant illumination changes, etc. …”
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Support for a Long Lifetime and Short End-to-End Delays with TDMA Protocols in Sensor Networks by Marcin Brzozowski, Hendrik Salomon, Peter Langendoerfer

“…We exploit hardware features of available transceivers that allow early detection of idle wake-up periods. …”
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Fabrication of Biosensor Based on Polyaniline/Gold Nanorod Composite by Uğur Tamer, Ali İhsan Seçkin, Erhan Temur, Hilal Torul

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Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training by Yi Xiang, Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng

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Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients by Yandong lian, Yibin Xu, Linlin Hu, Yuguo Wei, Zhaoge Wang

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Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis by ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

“…Harnessing social media language analytics can strengthen early detection systems, guide geographically targeted public health messaging, and inform policy efforts aimed at reducing opioid-related harm and improving pain management equity.…”
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Multimodal approaches and AI-driven innovations in dementia diagnosis: a systematic review by Revati M. Wahul, Sarita Ambadekar, Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Manisha A. Dudhedia, Varsha Gaikwad, Bhavana Kanawade, J. R. Pansare, Balaji Bodkhe, S. H. Gawande

“…A complete review of peer-reviewed papers over the past ten years, with a focus on Machine Learning, Deep Learning, and multimodal fusion approaches to enhance diagnostic and therapeutic precision will focus on neuroimaging biomarkers, EEG-based cognitive profiles, digital phenotyping, and wearable sensor analytics. This survey will compare the study’s algorithms or frameworks on sensitivity, specificity, interpretability, computational efficiency, and clinical transnationality concerning early detection and monitoring progression. …”
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Real-Time Deep Intelligence Analysis and Visualization of COVID-19 Using FCNN Mechanism by Cherukuri Triveni, K. Suvarna Vani, M. Likhitha

“…The Analytic visualization suggests representing knowledge during a visual type that may be charts, graphs, lists, or maps. …”
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Separation of sulphonamides on a C12-diol mixed-mode HPLC column and investigation of their retention mechanism by Aral Hayriye, Altun Yekun

“…All eight sulphonamides were separated within 20 min via gradient elution with an acetonitrile/phosphate buffer (pH 6.5, 40 mM KH2PO4/K2HPO4) solution at 15°C and a detection wavelength of 250 nm. Examination of the retention times of the analytes at different pH values ranging from 3 to 7 revealed that the sulphonamides were significantly affected by the acidity of the medium, thus enabling a detailed discussion of the mixed-mode separation mechanism. …”
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A correlation study on EEG signals during visual concentration test and clinical evaluation in schizophrenia patients by Min-Wei Huang, Qun-Wei Chang, Wen-Lin Chu

“…Applying SVM and decision tree methods established significant correlations between EEG features and clinical scales, indicating the system’s efficacy in supporting psychiatric diagnosis. …”
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Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

“…The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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FPGA SoC Implementation of Adaptive Deep Neural Network-Based Multimodal Edge Intelligence for Internet of Medical Things by Nikhil B. Gaikwad, Smith K. Khare, Dinesh Mendhe, Hasan Mir, Sokol Kosta, U. Rajendra Acharya

“…The results show that our adaptive DNN model has obtained a software accuracy of 99.2% for ECG, 91.4% for PPG, 95% for activity classification, and 98.7% for smoke detection with a five-fold cross-validation strategy. …”
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Serum metabolite and metal ions profiles for breast cancer screening by Wojciech Wojtowicz, R. Tarkowski, A. Olczak, A. Szymczycha-Madeja, P. Pohl, A. Maciejczyk, Ł. Trembecki, R. Matkowski, Piotr Młynarz

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Development of a fluorophilic ion-exchange material with dual binding mechanism for solid-phase extraction of PFAS by Johanna Freilinger, Jan O. Back, Raphael Plangger, Herwig Schottenberger, Christian W. Huck, Marco Rupprich, Rania Bakry

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Microsaccades: Empirical Research and Methodological Advances by Susana Martinez-Conde, Ralf Engbert, Rudolf Groner

“…In “Motion tracking of iris features to detect small eye movements” Chaudhary and Pelz describe a new video-based eye tracking methodology that relies on higher-order iris texture features, rather than on lower-order pupil center and corneal reflection features, to detect microsaccades with high confidence. …”
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Applications of gene pair methods in clinical research: advancing precision medicine by Changchun Wu, Xueqin Xie, Xin Yang, Mengze Du, Hao Lin, Jian Huang

“…To bridge methodological development with practical implementation, we establish a reproducible analytical pipeline incorporating feature selection, classifier construction, and model evaluation modules using real-world benchmark datasets from pulmonary tuberculosis studies. …”
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