A novel knowledge distillation framework for enhancing small object detection in blurry environments with unmanned aerial vehicle-assisted images by Sayed Jobaer, Xue-song Tang, Yihong Zhang, Gaojian Li, Foysal Ahmed

“…Following this, we employ a technique known as self-supervised knowledge distillation, where we introduce a deblurring subnet module with the help of two attention modules, where both networks are trained in a fully-supervised manner. …”
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Improved multiverse optimizer‐based anti‐saturation model free adaptive control and its application to manipulator grasping systems by Shida Liu, Zhen Li, Jiancheng Li, Honghai Ji, Jingquan He

“…Abstract To address the stable grasping control issue in manipulator grasping systems, this manuscript proposes an improved multiverse optimizer‐based anti‐saturation model‐free adaptive control (IMVO‐AS‐MFAC) algorithm. …”
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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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A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification by Lilu Wang, Yongqi Li, Haiyuan Liu, Taihui Liu

“…This limitation hinders their deployment on resource-constrained edge devices. To address this issue, we propose TBiGNet, a lightweight Transformer-based classification network model for RUL prediction. …”
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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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PFFNet: A pyramid feature fusion network for microaneurysm segmentation in fundus images by Jiaxin Lu, Beiji Zou, Xiaoxia Xiao, Qinghua Peng, Junfeng Yan, Wensheng Zhang, Kejuan Yue

“…Furthermore, to mitigate issue related to category imbalance, a combo loss function is introduced. …”
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YOLOv8-BaitScan: A Lightweight and Robust Framework for Accurate Bait Detection and Counting in Aquaculture by Jian Li, Zehao Zhang, Yanan Wei, Tan Wang

“…Excessive bait wastage is a major issue in aquaculture, leading to higher farming costs, economic losses, and water pollution caused by bacterial growth from unremoved residual bait. …”
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Research of the crosswind effect on the single-rotor helicopter unintentional yaw rotation by V. V. Efimov, V. A. Ivchin, K. O. Chernigin

“…Hence, this paper deals with an attempt to determine the capacity of an unintentional single-rotor helicopter yaw rotation occurrence due to wind effects (the impact of the main rotor on the tail rotor was not considered in this paper). To solve this issue, theoretical methods (analytical calculations and computational experiments) were used. …”
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Multi-Task Reinforcement Learning Based on Parallel Recombination Networks by Manlu Liu, Qingbo Zhang, Weimin Qian

“…However, uncertainty remains on the issue of how to effectively share parameters across tasks in the network. …”
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MDA-DETR: Enhancing Offending Animal Detection with Multi-Channel Attention and Multi-Scale Feature Aggregation by Haiyan Zhang, Huiqi Li, Guodong Sun, Feng Yang

“…Conflicts between humans and animals in agricultural and settlement areas have recently increased, resulting in significant resource loss and risks to human and animal lives. This growing issue presents a global challenge. This paper addresses the detection and identification of offending animals, particularly in obscured or blurry nighttime images. …”
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A Defect Detection Method for Flexible Thermal Control Film Manufacturing Process Driven by Digital Twin by LI Rongyi, TIAN Shuaiqi, DAI Mingqiu, XU Youqiang, LI Xianbin, HOU Kailin

“…By decoupling system functional modules and adopting distributed service governance, high concurrency and high availability online monitoring of the film manufacturing process is achieved. …”
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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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CFNet: Optimizing Remote Sensing Change Detection Through Content-Aware Enhancement by Fan Wu, Sijun Dong, Xiaoliang Meng

“…Furthermore, to enable the model to flexibly focus on changed and unchanged areas according to the requirements of different stages, we design a reweighting module based on the cosine distance between bitemporal image features, termed Focuser. …”
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Adaptive multilevel attention deeplabv3+ with heuristic based frame work for semantic segmentation of aerial images using improved golden jackal optimization algorithm by Anilkumar P, Venugopal P, Satheesh Kumar S, Jagannadha Naidu K

“…Multi-level attention unit has been included in the Atrous spatial pyramid pooling module in the encoder section of deeplabv3+ to bridge the semantic feature gap among encoders output. …”
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MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

“…Firstly, the global background and edge information are adaptively extracted via the MSA-SPPF module in order to obtain a more comprehensive feature representation. …”
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Centralized Control Strategy for Hybrid Microgrid Based on Layered Event Triggering by Yiming LI, Qi HE, Hailiang WANG, Hao ZHONG, Hui MA, Yuehua HUANG

“…A hierarchical event-triggered control strategy involving the microgrid central control (MGCC) is proposed to address the issues of strong dependence on central controllers, high communication demand, and poor disturbance regulation ability in centralized control of hybrid microgrid, which effectively reduces the redundant communication in distributed clusters and the computational burden on central controllers, and improves the reliability of strategy. …”
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A Novel Deep Learning Model for Motor Imagery Classification in Brain–Computer Interfaces by Wenhui Chen, Shunwu Xu, Qingqing Hu, Yiran Peng, Hong Zhang, Jian Zhang, Zhaowen Chen

“…The proposed method includes a Dual-Branch Feature Extraction Module designed to capture both temporal features and spatial patterns across different scales. …”
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MFA-SCDNet: A Semantic Change Detection Network for Visible and Infrared Image Pairs by Xingyu Li, Jiulu Gong, Jianxiong Wen, Zepeng Wang

“…SCD in visible and infrared image pairs confronts the challenge of distinguishing genuine semantic change from spectral discrepancies caused by heterogeneous imaging mechanisms. To address this issue, we propose a Modal Feature Analysis Semantic Change Detection Network (MFA-SCDNet), a novel framework that analyzes cross-modal features for change identification. …”
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WDFS-DETR: A Transformer-based framework with multi-scale attention for small object detection in UAV Engineering Tasks by Jinjiang Liu, Yonghua Xie

“…First, BasicBlock-WTCM (Wavelet-based Transform Coordinate Module) improves small object perception by modeling spatial and channel semantics across scales. …”
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