UV degradation analysis of TOPCon cells by Wenjing Xu, Pengyu Zhou, Qi Xiu, Xianbang Xing

“…Ensuring the long-term reliability of TOPCon cells and modules is crucial, and the ultraviolet-light (UV) test serves as an essential method for assessing this reliability. …”
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Application of Message Compliance Detection and Intrusion Blocking Technology in Remote Operation and Maintenance System of Relay Protection by Jiang YU, Honghui GAO, Zebing SHI, Weiwei JIANG, Fangying WU, Qingcai ZHAN, Rui ZHANG

“…Existing security measures have not effectively addressed business layer risks, and some issues such as delayed risk response still exist. …”
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MHFS-FORMER: Multiple-Scale Hybrid Features Transformer for Lane Detection by Dongqi Yan, Tao Zhang

“…Inspired by the DETR architecture, we propose an end-to-end Transformer-based model, MHFS-FORMER, to resolve these issues. To tackle the interference with lane detection in complex scenarios, we have designed MHFNet. …”
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Dual-robot formation transport in random environment and narrow restricted area via improved DDPG navigation by Liang Tang, Ronggeng Ma, Bowen Chen, Yisen Niu

“…Specifically, the paper first optimizes the reward function module in the DDPG network to incorporate a decision-swapping reward mechanism for training the formation's navigation capability. …”
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An Image-Text Sentiment Analysis Method Using Multi-Channel Multi-Modal Joint Learning by Lianting Gong, Xingzhou He, Jianzhong Yang

“…First, a multi-channel feature extraction module is introduced to comprehensively capture image or text features. …”
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Enhancing fairness in disease prediction by optimizing multiple domain adversarial networks. by Bin Li, Xiaoqian Jiang, Kai Zhang, Arif O Harmanci, Bradley Malin, Hongchang Gao, Xinghua Shi, Alzheimer’s Disease Neuroimaging Initiative

“…However, biases in AI models for medical predictions can lead to unfair treatment and widening disparities, underscoring the need for effective techniques to address these issues. However, current approaches struggle to simultaneously mitigate biases induced by multiple sensitive features in biomedical data. …”
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Thangka image captioning model with Salient Attention and Local Interaction Aggregator by Wenjin Hu, Fujun Zhang, Yinqiu Zhao

“…However, existing methods fall short in capturing the features of the core deity regions and the surrounding background details of Thangka images, and they significantly lack an understanding of local actions and interactions within the images. To address these issues, this paper proposes a Thangka image captioning model based on Salient Attention and Local Interaction Aggregator (SALIA). …”
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An Intelligent Diagnosis and Fault Detection Model Based on Fuzzy Logic for Photovoltaic Panels by Marah Bacha, Amel Terki, Rabiaa Houili

“…Moreover, the Fuzzy Logic (FL) method has proven to be the most suitable approach for diagnosing PV module issues. The findings indicate that all specified faults are detectable in a discernible manner. …”
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Element for Matching a Waveguide Transmission Line with a Diode by I. A. Zakharov, O. A. Karmanova, A. V. Gusinsky, M. M. Kasperovich, D. G. Bulavko, A. N. Kuzyukov, D. A. Lisov, Y. V. Shevaldina

“…The article deals with the issues of matching a waveguide transmission line with millimeter wave diodes. …”
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Self-Guided Pixel-Wise Calibration for Low-Light Image Enhancement by Zhihua Shen, Caiju Wang, Fei Li, Jinshuo Liang, Xiaomao Li, Dong Qu

“…Additionally, a Color Correction Module is introduced to enhance saturation by adjusting the shadow threshold. …”
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RecurrentOcc: An Efficient Real-Time Occupancy Prediction Model with Memory Mechanism by Zimo Chen, Yuxiang Xie, Yingmei Wei

“…We introduce the Scene Memory Gate, a new temporal fusion module that condenses temporal scene features into a single historical feature map. …”
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Real-Time Optimization of RISC-V Processors Based on Branch Prediction and Division Data Dependency by Zhiwei Jin, Hesong Di, Tingpeng Hu, Peng Wang

“…The processor is optimized for real-time performance using a “simplified local history branch predictor” and a “division data dependency module”. Experimental results show that the processor’s branch prediction accuracy and division calculation speed have both improved. …”
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Quality of Experience Aware Service Selection Model to Empower Edge Computing in IoT by Bipasha Guha Roy, Deepsubhra Guha Roy, Piyali Datta, Surbhi Bhatia Khan, Abdullah Albuali, Ahlam Almusharraf

“…Quality of experience-aware service selection can significantly remove well-known scalability issues of an Internet of Things (IoT) architecture. …”
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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…To address the potential complex computational issues in the convolution process, we have designed an innovative Adaptive Sparse Convolution (ASC) module that effectively eliminates redundant information in the feature layer. …”
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An Improved Transformer-Based Model for Urban Pedestrian Detection by Tianyong Wu, Xiang Li, Qiuxuan Dong

“…This study proposes the RT-DETR-improved model to overcome these issues based on the real-time detection transformer (RT-DETR). …”
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A lightweight object detection approach based on edge computing for mining industry by Muhammad Wahab Hanif, Zhanli Li, Zhenhua Yu, Rehmat Bashir

“…A mining target detection dataset has been created to address these issues, featuring key targets in coal mining scenes such as miners, safety helmets, and coal gangue. …”
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LumiLoc: A Low-Light-Optimized Visual Localization Framework for Autonomous Drones by Ruokun Qu, Zhiyuan Wang, Yelu Liu, Chenglong Li, Hui Jiang, Chen Fang

“…In low-light conditions, UAV localization faces substantial challenges due to reduced visibility, elevated noise levels, and diminished contrast. To address these issues, we propose a low-light-optimized visual localization framework that integrates an attention-based image enhancement module, a robust feature extraction network tailored for degraded environments, and a lightweight pose estimation algorithm that fuses geometric and convolutional features. …”
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DCAI: a dual cross-attention integration framework for benign-malignant classification of pulmonary nodules by Shuling Wang, Suixue Wang, Rongdao Sun

“…To address the above issues, we propose a novel multimodal framework, the Dual Cross-Attention Integration framework (DCAI), for benign-malignant classification of pulmonary nodules. …”
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CoroYOLO: a novel colorectal cancer detection method based on the Mamba framework by Wenfei Chen, Fengrui Hou, Yika Shen

“…CoroYOLO builds upon the YOLOv10 architecture by incorporating the concept of State Space Model (SSM) and introduces the TSMamblock module, which dynamically models the input data, reduces redundant computations, and improves both computational efficiency and detection accuracy. …”
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Improving unsupervised pedestrian re‐identification with enhanced feature representation and robust clustering by Jiang Luo, Lingjun Liu

“…A global contrastive pooling (GCP) module is introduced to obtain the global features of the image. …”
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