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Machine learning algorithms

Deep learning-based forest fire detection using an improved SSD algorithm with CBAM

Diansheng Zhang, Yueyuan Zhang, [ ... ], Zhiwei Liu

Classifying complex multimorbidity using latent class analysis and machine learning to generate insights into clustering of mental and cardiometabolic conditions

Moumita Mukherjee, Samhita Mukherjee, Hruthik Reddy Thokala, Raja Hashim Ali

ESA-YOLO: An efficient scale-aware traffic sign detection algorithm based on YOLOv11 under adverse weather conditions

ChenHao Li, ShuXian Liu, ZiNuo Peng

CattleNet-XAI: An explainable CNN framework for efficient cattle weight estimation

Md Junayed Hossain, Jannatul Ferdaus, Ashraful Islam, M. Ashraful Amin

Unveiling complex patterns: An information-theoretic approach to high-order behaviors in microarray data

Antonio Lacalamita, Alfonso Monaco, [ ... ], Roberto Bellotti

A novel scrolling text reading paradigm for improving the performance of multiclass and hybrid brain computer interface systems

Ebru Ergün, Önder Aydemir, Onur Erdem Korkmaz

Comparing machine learning, deep learning, and reinforcement learning performance in Culex pipiens predictive modeling

Wei Yin, Sanad H. Ragab, [ ... ], Tamer Oraby

A novel image encryption framework using Wireworld cellular automaton and hybrid chaotic maps for enhanced security

Bayan Alabdullah, Hadeel Alsolai, [ ... ], Marwan Ali Albahar

Machine learning-based prediction of metabolic dysfunction-associated steatotic liver disease using National Health and Nutrition Examination Survey (NHANES) data

Yong Zhang, Xiang Liu, [ ... ], Xiaoxu Li

Integrative machine learning and multi-omics framework identifies shared biomarkers for rheumatoid arthritis and ulcerative colitis

Meili Liu, Jun Ge, [ ... ], Yi Liu

A robust machine learning approach for DC bias prediction in DCO-OFDM based Li-Fi systems

Marwah Salman, David Siddle, Yuan Gao

Testing a bat fatality detection system at wind turbines

Sara P. Weaver, Jon D. Ritter, [ ... ], Brogan P. Morton

Machine learning based fault classification for improved induction motor performance

Zawar Ahmed Khan, Muhammad Amir Raza, [ ... ], Mohammed Aman

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