A Small-Sample Target Detection Method for Transmission Line Hill Fires Based on Meta-Learning YOLOv11 by Yaoran Huo, Yang Zhang, Jian Xu, Xu Dai, Luocheng Shen, Conghong Liu, Xia Fang

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Detection of Epilepsy Disorder Using Spectrogram Images Generated From Brain EEG Signals by Venkatesh Bhandage, Tejeswar Pokuri, Devansh Desai, Andrew Jeyabose

“…We examined the use of three different pretrained CNN architectures, namely, EfficientNetB0, MobileNetV2, and ResNet18. …”
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YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

“…Experimental results show that compared to the YOLOv8n baseline model, the proposed method improves detection accuracy for eight defect types in different tree species, with the mean average precision (mAP) increased by 5.9%. …”
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Extraction of typical operating scenarios of new power system based on deep time series aggregation by Zhaoyang Qu, Zhenming Zhang, Nan Qu, Yuguang Zhou, Yang Li, Tao Jiang, Min Li, Chao Long

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Short-Term Wind Speed Forecasting With Deep Learning by Zeynep Mine Alçin, Fatih Karaaslan, Muzaffer Aslan

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Detection and recognition of unsafe behaviors of underground coal miners based on deep learning by GUO Xiaoyuan, ZHU Meiqiang, TIAN Jun, ZHU Beibei

“…The high-resolution feature extraction network effectively extracted human keypoints at different scales, and the HRNet_w48 network, with more feature channels, outperformed HRNet_w32. …”
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Physical bases for determination of scattering kernels from incomplete data in grid-less X-ray imaging by A. Yu. Danyk, O. O. Sudakov

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MCAF-Net: Multi-Channel Temporal Cross-Attention Network with Dynamic Gating for Sleep Stage Classification by Xuegang Xu, Quan Wang, Changyuan Wang, Yaxin Zhang

“…To overcome these shortcomings, we present MCAF-Net, a novel network architecture that employs temporal convolution modules to extract channel-specific features from each input signal and introduces a dynamic gated multi-head cross-channel attention mechanism (MCAF) to effectively model the interdependencies between different physiological channels. …”
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Improving YOLOv11 for marine water quality monitoring and pollution source identification by Fang Wang

“…The Marine Fusion Loss (MFL) mechanism optimizes detection weight allocation among different pollutant categories, reducing false positives. …”
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Lightweight multiscale information aggregation network for land cover land use semantic segmentation from remote sensing images by Yahia Said, Oumaima Saidani, Ali Delham Algarni, Mohammad H. Algarni, Ayman Flah

“…This paper presents a lightweight neural network designed to address these challenges by integrating dense dilated convolutions with pyramid depthwise convolutions for multiscale feature extraction. …”
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SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition by Chengfei Qi, Yanli Feng, Junling Wan, Xinying Mao, Peisen Yuan

“…Finally, we utilize a depthwise separable convolution block to extract features from power load data, which efficiently captures the pattern of change in load. …”
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Human Similar Activity Recognition Using Millimeter-Wave Radar Based on CNN-BiLSTM and Class Activation Mapping by Xiaochuan Wu, Zengyi Ling, Xin Zhang, Zhanchao Ma, Weibo Deng

“…Based on the data of four similar activities of different people collected by mm-wave radar, the experimental results show that the recognition accuracy of the proposed model reached 94.63%. …”
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Defect Detection and Classification on Wind Turbine Blades Using Deep Learning with Fuzzy Voting by Reed Pratt, Clark Allen, Mohammad A. S. Masoum, Abdennour Seibi

“…Three Mask R-CNN models, leveraging different convolutional neural network (CNN) backbones—VGG19, Xception, and ResNet-50—were constructed and trained on a novel dataset of 3000 RGB images (size 300 × 300 pixels) annotated with defects, including cracks, holes, and edge erosion. …”
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TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification by Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed

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Salt and pepper denoising filters for digital images: A technical review by Kumar Abhishek, Kumar Sanjeev, Kar Asutosh

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Multi-Scale Feature Extraction with 3D Complex-Valued Network for PolSAR Image Classification by Nana Jiang, Wenbo Zhao, Jiao Guo, Qiang Zhao, Jubo Zhu

“…Extensive experiments on four benchmark datasets demonstrated that the proposed method outperforms various comparison methods, maintaining high classification accuracy across different sampling rates, thus validating its effectiveness and robustness.…”
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Hyperspectral Imaging and Machine Learning for Diagnosing Rice Bacterial Blight Symptoms Caused by <i>Xanthomonas oryzae</i> pv. <i>oryzae</i>, <i>Pantoea ananatis</i> and <i>Enter... by Meng Zhang, Shuqi Tang, Chenjie Lin, Zichao Lin, Liping Zhang, Wei Dong, Nan Zhong

“…<i>oryzae</i>, yet they differ in drug resistance and management strategies. …”
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Assessment of Scientific Creative-Potential by Near-Infrared Spectroscopy Using Brain-Network-Based Deep-Fuzzy Classifier by Sayantani Ghosh, Amit Konar, Atulya K. Nagar

“…Hence, the proposed approach may prove effective for recruiting individuals with varying degrees of scientific creativity across different research sectors.…”
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Models, systems, networks in economics, engineering, nature and society by D.V. Mirosh

“…The use of the developed neural networks allows to improve diagnostic studies for asynchronous machines of various capacities, easily adapt them to different dimensional designs, improve the quality of diagnostic services provided and reduce the labor costs of diagnostic specialists in the study of the parameters of the state of an electric machine.…”

Non-intrusive Load Decomposition Model Based on Deep Fusion of Multi-modal Integration by YAO Gang, WANG Yun, WANG Yuanliang, SONG Zihao

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