Adaptive Variational Modal Decomposition–Dual Attention Mechanism Parallel Residual Network: A Tool Lifetime Prediction Method Based on Adaptive Noise Reduction by Jing Kang, Taiyong Wang, Yi Li, Ye Wei, Yaomin Zhang, Ying Tian

“…This paper addresses the issue of noise interference and variable working conditions in the production and machining environment, which lead to weak tool life features and reduced prediction accuracy. …”
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Spatial–Temporal Reconstruction of Trajectories in Free Space Using Automatic Target Position Detection Data by Yang Chen, Xin Chen, Bin Bai, Linjiang Zheng

“…This method can be divided into two steps: first, a spatial trajectory construction module is proposed to determine the spatial trajectories of targets. …”
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A Lightweight Forward–Backward Independent Temporal-Aware Causal Network for Speech Emotion Recognition by Sijia Fei, Qiang Feng, Fei Gao

“…Furthermore, the backward temporal-aware module uses dilated causal convolutions to learn backward information and weighted fusion of multi-level temporal features to enhance the perception of backward emotion changes. …”
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Boosting Urban Openspace Mapping with the Enhancement Feature Fusion of Object Geometry Prior Information from Vision Foundation Model by Zijian Xu, Jiajun Chen, Hongyang Niu, Runyu Fan, Dingkun Lu, Ruyi Feng

“…Furthermore, we introduce a feature fusion module (FFM) that integrates multi-level features from the remote sensing images. …”
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Mitigating Quantization Errors Due to Activation Spikes in Gated Linear Unit-Based Large Language Models by Jaewoo Yang, Hayun Kim, Junyung Ji, Younghoon Kim

“…Our analysis reveals a systematic pattern of these spikes: they predominantly occur in the FFN (feed-forward network) layers at the early and late layers of the model and are concentrated on a small subset of tokens rather than being uniformly distributed across a token sequence. To mitigate this issue, we propose two empirical methods: Quantization-free Module (QFeM) and Quantization-free Prefix (QFeP), which isolate activation spikes during quantization. …”
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Cells Grouping Detection and Confusing Labels Correction on Cervical Pathology Images by Wenbo Pang, Yi Ma, Huiyan Jiang, Qiming Yu

“…Differences in assessment criteria among pathologists result in ambiguously labeled cells, which poses a significant challenge for deep learning networks. To address this issue, we perform a labels correction module with feature similarity by constructing feature centers for typical cells in each category. …”
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Transformer fault diagnosis method based on Gramian Angular Field and optimized parallel ShuffleNetV2 by Qiang Guo, Haiyan Yao, Yuefei Xu, Bin Lu, Zhengshu Ma, Yuanjun Huang, Mingyu Shi

“…Abstract To address the issue of low diagnostic accuracy caused by reliance on manual experience and single-angle feature extraction in transformer fault diagnosis, a transformer fault diagnosis method based on Gramian Angular Field and optimized parallel ShuffleNetV2 was proposed. …”
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Sparse point annotations for remote sensing image segmentation by Sixian Chan, Wangjie Zhou, Yanjing Lei, Chao Li, Jie Hu, Feng Hong

“…To better capture spatial information across channels, we integrate the Efficient Multi-scale Attention (EMA) module, which enables dynamic label adjustment and enhances self-supervised learning. …”
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Cloth-Changing Person Re-Identification Based on the Backtracking Mechanism by Xuan Liu, Hua Han, Kaiyu Xu, Li Huang

“…Additionally, we introduce a feature infiltration module that integrates body shape features with appearance features extracted by the backbone network, enabling the model to extract clothing-independent features. …”
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Barriers and Facilitators of Pharmacists’ Roles During the Pandemic in Malaysia by Thanushiri Palani Velu, Farida Islahudin, Wei Wen Chong

“…The crisis initially emerged as a supply disruption issue but eventually evolved into a myriad of additional challenges, which were attributed mainly to the extensive scale of the pandemic. …”
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Degradation Type-Aware Image Restoration for Effective Object Detection in Adverse Weather by Xiaochen Huang, Xiaofeng Wang, Qizhi Teng, Xiaohai He, Honggang Chen

“…Nevertheless, the majority of these approaches are designed for a specific degradation scenario, making it difficult to adapt to diverse weather conditions. To cope with this issue, we put forward a degradation type-aware restoration-assisted object detection network, dubbed DTRDNet. …”
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DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis by Zeeshan Ahmad, Shudi Bao, Meng Chen

“…In particular, our proposed model features a DPN module for multi-resolution generation utilizing deformable convolution operations, allowing for adaptive receptive fields that improve the quality and fidelity of the synthetic audio. …”
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PVD-GSTPS: design of an efficient parallel vehicle detection based green signal time prediction system by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

“…Additionally, a vehicle counting module assesses the number of vehicles in specified areas, and a size assignment process estimates Green Signal Time based on Spatial Occupancy calculations. …”
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Detection of strawberry bloom phenology based on YOLO-RCMC and flower opening scale by Junquan Zhen, Yuke Wang, Xunhui Liu, Linfan Zhou, Shuqin Yang, Dong Wang

“…To address the challenges of insufficient detection accuracy and poor real-time performance of existing methods, this study proposed a deep learning approach for estimating flower phenology using a model called flower-opening-YOLO-RCMC, which stands for You Only Look Once – Rectangular Self-Calibration Module (RCM) and RCM Variant Module (C2f-RCM and C3k2-RCM). …”
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Screening and Verification COPD-OSA Overlap Syndrome Core Genes Using Bioinformatics by Qiang S, Wan R, Wu J, Wang C, Cui X, Zhang Y

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Algorithm for forming a geo-map of citizen appeals using artificial intelligence by Mallaev Oybek, Gazatov Jamoliddin, Aliyev Jaloliddin

“…The proposed geo-map module offers essential functions such as automatic detection and analysis of appeals, identification and marking of problem locations on the map, prioritization of urgent issues, prediction and prevention of appeal surges, automation of state services, and rapid response facilitation. …”
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YOLO-CBD: Classroom Behavior Detection Method Based on Behavior Feature Extraction and Aggregation by Shuyun Peng, Xiaopei Zhang, Luoyu Zhou, Peng Wang

“…Secondly, a novel feature aggregation module is designed for replacing the basic C2f module in the YOLOv10s neck network and enhancing the capability to detect occluded targets effectively. …”
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Optimizing Parkinson's disease Classification in MRI Scans Using a Modified ResNet50 Architecture by Anuranjani K, Dr. Anitha Karthi

“…In contrast to the existing models, the proposed Modified ResNet50 with Channel-Specific Attention Module (CSAM) achieves high performance and early detection. …”
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SDD-Net: A Steel Surface Defect Detection Method Based on Contextual Enhancement and Multiscale Feature Fusion by Chao Liang, Zi-Zheng Wang, Xiao-Lin Liu, Peng Zhang, Zhi-Wei Tian, Ru-Liang Qian

“…Addressing the current industrial methods for surface defect detection, which suffer from issues such as low detection efficiency, elevated rates of false positives, and inadequate real-time capabilities, this paper proposes an high-precision industrial defect detection network. …”
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Assessment of a Top and Bottom Cooling Strategy for Prismatic Lithium-Ion Cells Intended for Automotive Use by Said Madaoui, Bartlomiej Guzowski, Roman Gozdur, Zlatina Dimitrova, Nicolas Audiot, Jocelyn Sabatier, Jean-Michel Vinassa, Franck Guillemard

“…In this work, a novel thermal management approach is proposed, in which a battery module is cooled not only with a bottom cooling plate but also using another cooling plate in contact with the busbars, located on the top of the battery module. …”
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