An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning by Usman Ali, Umer Ramzan, Waqas Ali, Khaled Ali Al-Jaafari

“…To evaluate the robustness of our multi-class classification decisions, tests have been conducted on a combined dataset of 52,000 STFT images encompassing all three faults. …”
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Liver Tumor Prediction using Attention-Guided Convolutional Neural Networks and Genomic Feature Analysis by S. Edwin Raja, J. Sutha, P. Elamparithi, K. Jaya Deepthi, S.D. Lalitha

“…Spatial and channel attention mechanisms in AG-CNN enable accurate tumor segmentation from CT images while providing detailed morphological profiling. Evaluation with three control databases TCIA, LiTS, and CRLM shows that our model produces more accurate output than relevant literature with an accuracy of 94.5%, a Dice Similarity Coefficient of 91.9%, and an F1-Score of 96.2% for the Dataset 3. …”
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AI powered detection and assessment of onychomycosis: A spotlight on yellow and deep learning by C. Agostini, R. Ranjan, M. Molnarova, A. Hadzic, O. Kubesch, V. Schnidar, H. Schnidar

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Multiparametric MRI-based radiomics for preoperative prediction of parametrial invasion in early-stage cervical cancer by Chongshuang Yang, Man Li, Xin Yi, Lin Wang, Guangxian Kuang, Chunfang Zhang, Benyong Yao, Zhihong Qin, Tianliang Shi, Qiang Jiang

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Risk assessment of thyroid nodules with a multi-instance convolutional neural network by Da Yu, Tingting Song, Yancheng Yu, Hebin Zhang, Feng Gao, Zirong Wang, Jiacheng Wang

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Succulent-YOLO: Smart UAV-Assisted Succulent Farmland Monitoring with CLIP-Based YOLOv10 and Mamba Computer Vision by Hui Li, Fan Zhao, Feng Xue, Jiaqi Wang, Yongying Liu, Yijia Chen, Qingyang Wu, Jianghan Tao, Guocheng Zhang, Dianhan Xi, Jundong Chen, Hill Hiroki Kobayashi

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Predicting troponin biomarker elevation from electrocardiograms using a deep neural network by Truls Råmunddal, Erik Andersson, Zacharias Mandalenakis, Kristofer Skoglund, Araz Rawshani, Elmir Omerovic, Jan Borén, Petur Petursson, Aidin Rawshani, Peter Lundgren, Christian Dworeck, Lukas Hilgendorf, Vibha Gupta, Charlotta Ljungman, Gustav Smith

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Evaluation of the clinical value of CCTA as the preferred screening method in patients with chronic coronary syndrome by Huan Luo, Wei Zhu, Rui-Juan Fan, Li-Xiong Duan, Rui Jing

“…Conclusion In patients with suspected CCS, including typical angina, atypical angina and nonangina chest pain with abnormal electrocardiogram results, the use of CCTA as a first-line diagnostic test can reduce the unnecessary incidence of ICA and hospitalization costs without increasing the incidence of MACE. A risk prediction model of obstructive CAD was established on the basis of the baseline data of the patients enrolled in this study, providing a clinical basis for the decision to use CCTA or ICA. …”
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Challenges and strategies of developing internet hospital: Combining qualitative interview and documentary research by Yunfeng Lai, Qiong Ho, Yao Wang, Xiaonan Liang, Yan Xue, Carolina Oi Lam Ung, Meng Li, Dongning Yao, Buping Liu, Ying Bian, Zhirong Xie, Hao Hu

“…In the development planning, four phases were established: first, the development of primary services; second, the integration of online and offline services; third, the provision of online prescriptions; and fourth, a focus on differentiation. The service model innovation highlighted four key dimensions, including: (1) the importance of patient and department classification in defining the value proposition; (2) the pivotal role of a high-level coordination department with resource coordination capability in key processes; (3) the significance of independent platform construction and talent cultivation as guarantees of key resources; and (4) the revolutionary profit formula of personalized digital health and patient-centric services. …”
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A Comprehensive Review of EEG-Based Seizure Detection Techniques by Goldwyn Sudhakar Jebaraj, Konguvel Elango

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Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure by Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy

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From pixels to letters: A high-accuracy CPU-real-time American Sign Language detection pipeline by Jonas Rheiner, Daniel Kerger, Matthias Drüppel

“…Our multi-step pipeline includes preprocessing, a hand detection stage, and a classification model using a MobileNetV3 convolutional neural network backbone followed by a classification head. …”
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Predicting Student Performance and Enhancing Learning Outcomes: A Data-Driven Approach Using Educational Data Mining Techniques by Athanasios Angeioplastis, John Aliprantis, Markos Konstantakis, Alkiviadis Tsimpiris

“…The results indicated that courses with strong correlations (+0.3 and above) significantly enhanced predictive accuracy, particularly in binary classification tasks. kNN and neural networks emerged as the most robust models, achieving F1 scores exceeding 0.8. …”
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Predicting symptomatic carotid artery plaques with radiomics-based carotid perivascular adipose tissue characteristics: a multicenter, multiclassifier study by Ting Zhao, Guihan Lin, Weiyue Chen, Jianhua Wu, Weiming Hu, Lei Xu, Yongjun Chen, Yang Jing, Lin Shen, Shuiwei Xia, Chenying Lu, Minjiang Chen, Jiansong Ji, Weiqian Chen

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Polynomial-SHAP as a SMOTE alternative in conglomerate neural networks for realistic data augmentation in cardiovascular and breast cancer diagnosis by Chukwuebuka Joseph Ejiyi, Dongsheng Cai, Francis Ofoma Eze, Makuachukwu Bennedith Ejiyi, Jennifer Ene Idoko, Sarpong Kwadwo Asere, Thomas Ugochukwu Ejiyi

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Development of the Combined Assessment of Risk Encountered in Surgery (CARES) surgical risk calculator for prediction of postsurgical mortality and need for intensive care unit adm... by Yiong Huak Chan, Diana Xin Hui Chan, Hairil Rizal Abdullah, Yilin Eileen Sim, Ruban Poopalalingam

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A random forest and SHAP-based analysis of motorcycle crash severity in Thailand: Urban-rural and day-night perspectives by Sonita Sum, Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Sanjeev Sinha, Vatanavongs Ratanavaraha

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Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia by Angwach Abrham Asnake, Alemayehu Kasu Gebrehana, Hiwot Altaye Asebe, Beminate Lemma Seifu, Bezawit Melak Fente, Meklit Melaku Bezie, Mamaru Melkam, Sintayehu Simie Tsega, Yohannes Mekuria Negussie, Zufan Alamrie Asmare

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Performance of Machine Learning Algorithms on Imbalanced Sentiment Datasets Without Balancing Techniques by Dina Wulan Yekti rahayu, Khothibul Umam, Maya Rini Handayani

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Nomological Deductive Reasoning for Trustworthy, Human-Readable, and Actionable AI Outputs by Gedeon Hakizimana, Agapito Ledezma Espino

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