Adaptive deep SVM for detecting early heart disease among cardiac patients by S. N. Netra, N. N. Srinidhi, E. Naresh

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Progressive Camera-LiDAR Adaptation for Scene Flow Estimation by T. Han, Y. Luo, S. Chen, X. Xie, C. Wang, H. Fan, Y. Chen

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Research on Partial Least Squares Method Based on Deep Confidence Network in Traditional Chinese Medicine by Wang-ping Xiong, Tian-ci Li, Qing-xia Zeng, Jian-qiang Du, Bin Nie, Chih-Cheng Chen, Xian Zhou

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Estimation of the take-off weight of a combat helicopter with specified performance on the basis of the existence equation by A. L. Tarasov, M. A. Prozorov

“…The corresponding performance of attack helicopters are provided by the features of their design and layout. The existence equation allows to relate the performance of a helicopter with its technical parameters and take-off weight. …”
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STSA‐Based Early‐Stage Detection of Small Brain Tumors Using Neural Network by Nafiul Hasan, Md. Masud Rana, Md Mahmudul Hasan, AKM Azad, Dil Afroz, Md Mostafizur Rahman Komol, Mousumi Aktar, Mohammad Ali Moni

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An Improved Machine Learning-Based Model for Detecting and Classifying PQDs with High Noise Immunity in Renewable-Integrated Microgrids by Irfan Ali Channa, Dazi Li, Mohsin Ali Koondhar, Fida Hussain Dahri, Ibrahim Mahariq

“…The obtained unique features from DWT-MRA are fed to train the well-known intelligent classifiers. …”
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Can Saccade and Vergence Properties Discriminate Stroke Survivors from Individuals with Other Pathologies? A Machine Learning Approach by Alae Eddine El Hmimdi, Zoï Kapoula

“…Eye movement data were automatically analyzed with the AIDEAL V3 (Artificial Intelligence Eye Movement Analysis) cloud software developed by Orasis-Ear. This software computes multiple parameters for each type of eye movement, including the latency, accuracy, velocity, duration, and disconjugacy. …”
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Fitting and comparison of calcium-calmodulin kinetic schemes to a common data set using non-linear mixed effects modelling. by Domas Linkevicius, Angus Chadwick, Guido C Faas, Melanie I Stefan, David C Sterratt

“…Calmodulin is a calcium binding protein that is essential in calcium signalling in the brain. There are many computational models of calcium-calmodulin binding that capture various calmodulin features. …”
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SEMSF-Net: Explainable Squeeze–Excitation Multiscale Fusion Network for Aerial Scene and Coastal Area Recognition Using Remote Sensing Images by Muhammad John Abbas, Muhammad Attique Khan, Ameer Hamza, Shrooq Alsenan, Areej Alasiry, Mehrez Marzougui, Yang Li, Yunyoung Nam

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An Advanced Whale Optimization Algorithm for Grayscale Image Enhancement by Yibo Han, Pei Hu, Zihan Su, Lu Liu, John Panneerselvam

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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

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MELTING RATE CALCULATION ON PREHEATED WIRES OF VARIOUS CHEMISTRY UNDER ARC WELDING by Evgeny N. Varukha, Alexander S. Korobtsov, Igor S. Morozkin

“…The effect of stick - out and preheat temperature increase of the welding wires on the productivity - boosting features of their melting is asse ssed.…”
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Impact of permittivity grading on coupled resonance in hybrid-ENZ metasurfaces by Anindita Das, Laura C Wynne, Andrea Di Falco, Sebastian A Schulz

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A Novel Hypersonic Target Trajectory Estimation Method Based on Long Short-Term Memory and a Multi-Head Attention Mechanism by Yue Xu, Quan Pan, Zengfu Wang, Baoquan Hu

“…In model training, information redundancy is reduced, and information validity is improved through feature selection and data preprocessing. Eventually, the model achieves accurate prediction of hypersonic target trajectories with limited computational resources. …”
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Detection Model for Cotton Picker Fire Recognition Based on Lightweight Improved YOLOv11 by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song, Yi Wu

“…Experimental results demonstrate that the improved model reduces the number of parameters by 38%, increases the frame processing speed (FPS) by 13.2%, and decreases the computational complexity (GFLOPs) by 42.8%, compared to the original model. …”
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EGRN-YOLO: An Enhanced Multi-View Remote Sensing Detection Algorithm for Onshore Wind Turbines Based on YOLOv7 by Renzheng Xue, Haiqiang Xu, Qianlong Wu

“…Firstly, the lightweight network EfficientNetV2 is utilized as the feature extraction backbone to reduce the number of model parameters and computational load. …”
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CSEPC: a deep learning framework for classifying small-sample multimodal medical image data in Alzheimer’s disease by Jingyuan Liu, Xiaojie Yu, Hidenao Fukuyama, Toshiya Murai, Jinglong Wu, Qi Li, Zhilin Zhang

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Robust Automatic Modulation Classification via a Lightweight Temporal Hybrid Neural Network by Zhao Wang, Weixiong Zhang, Zhitao Zhao, Ping Tang, Zheng Zhang

“…However, existing networks face challenges in robustness against signals containing phase shift keying and computational efficiency. This paper introduces TCN-GRU, a lightweight model that combines the advantages of multiscale feature extraction of the temporal convolutional network (TCN) and global sequence modeling of gated recurrent unit (GRU). …”
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SYSTEM AND ALGORITHM OF INTELLIGENT BIOMEDICAL SIGNAL PROCESSING AND ANALYSIS FOR HUMAN HEALTH STATUS REMOTE MONITORING SYSTEM by Nguyen Trong Tuyen, Tran Trong Huu, Nguyen Mau Thach, Zafar M. Yuldashev

“…To detect the exacerbation first symptoms by means of the patient's wearable computer, additional channels are activated for recording biomedical signals used to evaluate the expanded complex of diagnostically significant parameters of the disease and their integration when specifying the patient's condition. …”
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An automatic modulation recognition network based on multi-channel lightweighting by WAN Jinhua, SHANG Junna, ZHANG Huadi

“…This shows that MCLMR not only has a small number of parameters and low computational complexity, but also has excellent performance in recognition accuracy.…”
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