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Machine learning

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

Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRI

Johanna Topalis, Jakob Dexl, [ ... ], Olaf Dietrich

Non-destructive defect detection in powder metallurgy automotive oil pump stators using acoustic signals and machine learning classification

Mohammad Hossein Hadizadeh Isfahani, Hamid Moeenfard, Abbas Rohani

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

ChenHao Li, ShuXian Liu, ZiNuo Peng

Predicting 30-day and 1-year mortality in heart failure with preserved ejection fraction (HFpEF)

Ikgyu Shin, Nilay Bhatt, [ ... ], Karthik Murugiah

Deepfake defense: Combining spatial and temporal cues with CNN–BiLSTM–transformer architecture

Srijana Yadav, S. Sudheer Mangalampalli

Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks

Yaopeng Han, Chenxi Li, [ ... ], Jun Wang

Obscured-ensemble models for genomic prediction

Rounak Saha, Amir Morshedian, [ ... ], Mike Domaratzki

A comparative study of MLP and LSTM neural networks for shale gas production prediction based on numerical simulation data

Xiaoou Fei, Man Ye, Zhou Du, Haibin Miao

Early adherence to biofeedback training predicts long-term improvement in stroke patients: A machine learning approach

Nandini Sengupta, Rezaul Begg, [ ... ], Marimuthu Palaniswami

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

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