Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model by Miaoxuan Shan, Chunlin Ye, Peng Chen, Shufan Peng

“…While many effective spatiotemporal crime prediction methods have been proposed, most overlook this issue, reducing their ability to generalize. In this paper, we introduce a novel deep learning-based model, adaptive-GCNLSTM (Ada-GCNLSTM). …”
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Grape cluster detection based on spatial-to-depth convolution and attention mechanism by Shuai Rong, Xinghai Kong, Ruibo Gao, Zhiwei Hu, Hua Yang

“…Secondly, based on the problem of information loss in grape cluster detection, a plug-and-play module of spatial-to-depth convolution (STD-Conv) is added to enrich grape cluster feature information. …”
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Pseudo-class distribution guided multi-view unsupervised domain adaptation for hyperspectral image classification by Jingpeng Gao, Xiangyu Ji, Geng Chen, Yuhang Huang, Fang Ye

“…In addition, we design an adaptive style learning module to enhance the inter-class separability of the model. …”
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Optimal Dispatch of Power System with P2G-Wind-Thermal-Nuclear-Carbon Capture Units by Wenhao CHAO, Zhi YUAN, Ji LI

“…In addition, the excessive wind power curtailment could also be an issue. In this paper, a linearized peaking depth model for nuclear units is proposed considering their co-operation with power-to-gas (P2G), WPG, thermal, and carbon capture units. …”
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A Study on the Performance of Soiled Solar Photovoltaic Panels at Different Tilt Angles in Al Seeb, Oman by Girma T. Chala, Shaharin A. Sulaiman, Xuecheng Chen

“…Dust accumulation, which significantly reduces power generation efficiency, is currently the main issue facing photovoltaic modules since it affects the return on investment of PV systems. …”
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Independent Tri-Spectral Integration for Intelligent Ship Monitoring in Ports: Bridging Optical, Infrared, and Satellite Insights by Yichen Feng, Hui Yin, Hao Zhang, Langtao Wu, Haihui Dong, Jiawen Li

“…However, most current ship identification technologies rely on a single information source, reducing detection accuracy in the complex and variable marine environment. To address this issue, this paper proposes a knowledge transfer-based ship identification system integrating three modules. …”
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MolAttnNet: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention by Chenxu Wang, Yijun Feng, Zhejie Xu, Xiaohui Xu, Bangguo Peng

“…Ablation studies systematically validate the contribution of each module, demonstrating that their synergistic integration is essential for optimal performance. …”
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Multi-Modal Prototypes for Few-Shot Object Detection in Remote Sensing Images by Yanxing Liu, Zongxu Pan, Jianwei Yang, Peiling Zhou, Bingchen Zhang

“…Therefore, to achieve the best of both worlds, we propose a prototype aggregating module to integrate textual and visual prototypes, leveraging both semantics from textual prototypes and spatial details from visual prototypes. …”
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Recognition of occluded pedestrians from the driver's perspective for extending sight distance and ensuring driving safety at signal-free intersections by Kun Qie, Jianyu Wang, Zhihong Li, Zinan Wang, Wei Luo

“…Specifically, the model includes a head feature module that detects occluded pedestrians by integrating their head features with the overall target. …”
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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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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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Increased attention to the eye region when playing background music in Alzheimer's disease: a remotely-delivered webcam eye-tracking feasibility study by Anne-Marie Greenaway, Faustina Hwang, Slawomir Nasuto, Aileen K. Ho

“…Music modulates dwell-times on discriminating facial features (e.g. eyes) and rumination levels modulate visual attention/responses to music. …”
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Adaptive backstepping control for electro-hydraulic servo system in extension sleeve press-fitting process of bearing pressing machine by Chen Hongsheng

“…Existing researches on this issue remains to be enriched and the performance of related algorithms still needs further improvement. …”
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Unsupervised Anomaly Detection of Forceps Force by Localizing the Region of Interest by Wenhui Zhuang, Kimihiko Masui, Naoto Kume, Megumi Nakao

“…The lack of haptic feedback in robotic surgical systems can lead to unintended tissue damage as a result of excessive mechanical force. To address this issue, many studies in vision-based force sensing have focused on supervised learning approaches, which require labeled force data for training. …”
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Reverse Oil Flow Characterization in Transformer Windings: A Fluid-Thermal Network Approach by Lujia Wang, Jianghao Qi, Yifan Chen, Lebin Zhang, Jianwen Zhang

“…This phenomenon results in the abnormal occurrence of reverse oil flow in the bottom oil ducts, causing the hotspot temperature to rise instead of decrease. To address this issue, a three-node flow resistance module was introduced at the intersection of T-shaped oil ducts based on the flow paths of oil in the main and branch ducts within the disc-type winding region. …”
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MixDiff-TTS: Mixture Alignment and Diffusion Model for Text-to-Speech by Yongqiu Long, Kai Yang, Yuan Ma, Ying Yang

“…Additionally, we introduce a Word-to-Phoneme Attention module with a relative position bias mechanism to improve the model’s capacity for processing long text sequences. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…Abstract Malware has become a big issue for digital infrastructure with the growing complexity and frequency of intrusions; it usually avoids conventional detection systems via obfuscation and dynamic behaviour patterns. …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…Abstract Traffic accidents remain a critical issue that significantly impacts public safety and poses major challenges to intelligent transportation systems. …”
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Dual-context enhanced knowledge representation learning method in hyper-relational knowledge graphs by Jiahang Li, Qilong Han, Dan Lu, Lijie Li

“…Finally, the distinction of entities and relations with unique semantics is achieved by employing a relation enhancement module and multi-task optimization, thereby enhancing the learning capability of the model. …”
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