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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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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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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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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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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A real-time predictive postural control system with temperature feedback by Yaoyu Duan, Huimin Jiao, Dangxiao Wang, Xingwei Guo

“…The designed system employs inertial sensors to measure body tilt angles and a wearable temperature control module for biofeedback. Moreover, we proposed a mathematical method to improve the real-time biofeedback with thermal tactile feedback, specifically targeting the issue of poor real-time temperature regulation. …”
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A Rotation Target Detection Network Based on Multi-Kernel Interaction and Hierarchical Expansion by Qi Wang, Guanghu Xu, Donglin Jing

“…Specifically, we first refine scale modeling through the Multi-kernel Context Interaction (MCI) module and Hierarchical Expansion Attention (HEA) mechanism, achieving sufficient extraction of local features and global information for targets of different scales. …”
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Improving Age Estimation in Occluded Facial Images with Knowledge Distillation and Layer-Wise Feature Reconstruction by Shuangfei Yu, Qilu Zhao

“…Although prior research has explored de-occlusion methods for occluded facial images, there remains a lack of studies focusing on the implicit facial feature information present in fixed occlusion patterns. To address this issue, this study proposes a novel method for reconstructing occluded facial features to enhance age estimation accuracy under occlusion conditions. …”
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Doping in Martial Arts: How Is It Managed? by Agung Nugroho, Arko Jatmiko Wicaksono, Hary Widodo, Santosa Budiharjo, Djoko Pekik Irianto, Rustamaji Rustamaji, Lismadiana Lismadiana

“…Background: Doping remains a persistent issue in martial arts, exacerbated by the easy access to over-the-counter medications containing banned substances. …”
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Speech Emotion Recognition Using Two-Stage Multiple Instance Learning Networks by ZHANG Shiqing, CHEN Chen, ZHAO Xiaoming

“…Firstly, an instance distillation module is proposed to filter redundant instances with weak emotional information. …”
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YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery by Guofeng Zhang, Yanfei Peng, Jincheng Li

“…To address these challenges, this paper introduces YOLO-MARS, a small target recognition model that incorporates a multi-level attention residual mechanism. Firstly, an ERAC module is designed to enhance the ability to capture small targets by expanding the feature perception range, incorporating channel attention weight allocation strategies to strengthen the extraction capability for small targets and introducing a residual connection mechanism to improve gradient propagation stability. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…Hypertension is a critical risk factor and cause of mortality in cardiovascular diseases, and it remains a global public health issue. Therefore, understanding its mechanisms is essential for treating and preventing hypertension. …”
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Infrared and visible image fusion driven by multimodal large language models by Ke Wang, Dengshu Hu, Yuan Cheng, Yukui Che, Yuelin Li, Zhiwei Jiang, Fengxian Chen, Wenjuan Li

“…IntroductionExisting image fusion methods primarily focus on obtaining high-quality features from source images to enhance the quality of the fused image, often overlooking the impact of improved image quality on downstream task performance.MethodsTo address this issue, this paper proposes a novel infrared and visible image fusion approach driven by multimodal large language models, aiming to improve the performance of pedestrian detection tasks. …”
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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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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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