Research on Method in Measurement and Parameter of Energy Saving for WLAN Access Point by Bo Gao, Fei Wu, Rui Lin, Chengbin Shen

“…As the fast growing of WLAN's access point（AP）, reducing power consumption of large amount of AP became an important issue in telecommunication industry. Many similar products test methods and standards in power consumption area which proposed by different nations and organizations were referred. …”
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Renal denervation: a new life of the technology by T. Y. Chichkova, S. E. Mamchur, M. P. Romanova, E. A. Khomenko

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A Full‐Range Proximity‐Tactile Sensor Based on Multimodal Perception Fusion for Minimally Invasive Surgical Robots by Dongsheng Li, Tianci Ji, Yuyang Sun, Zhongbin Zhang, Aomen Li, Mengjiao Qu, Dongze Lv, Jin Xie, Huicong Liu

“…However, the lack of adequate perception capability remains a significant issue for the robots. In this work, a full‐range proximity‐tactile sensing module has been developed for safe operation of surgical robots, which performs multimodal fusion perception through ultrasonic sensor for long‐range proximity detection, capacitive sensor for close‐range proximity sensing, and triboelectric sensor for tactile sensing. …”
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System architecture and key technologies of intelligent, safe and efficient mining for rockburst coal seams by Zhigang DENG, Yunpeng LI, Shankun ZHAO, Yin WANG, Shaogang LI, Linghai KONG, Junjun JIANG, Zhenguo SU, Yizhe LI, Kai QIN

“…Finally, the intelligent mining equipment control module is developed. Under the guidance of computer intelligent decision, the intelligent control of all kinds of equipment in the whole mine is realized. …”
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App- and Wearable-Based Remote Monitoring for Patients With Myasthenia Gravis and Its Specialists: Feasibility and Usability Study by Maike Stein, Regina Stegherr, Pushpa Narayanaswami, David Legg, Meret Herdick, Andreas Meisel, Lea Gerischer, Sophie Lehnerer

“…In addition, communication between patients and physicians was facilitated through a chat module. Feasibility was evaluated by total adherence rates for completing PROMs within the app, alongside the collection of spirometry and wearable data. …”
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Kolmogorov–Arnold–Enhanced Nonlinear Expansions for Fine-Grained Feature Amplification in Robust Near-Shore SAR Vessel Discrimination by Hankang Wang, Gaopeng Huang, Zhao Huang, Xingru Huang, Zhaoyang Xu, Zhiwen Zheng, Shanwei Liu, Shiqing Wei, Jin Liu, Xiaoshuai Zhang

“…First, we introduce KAN Block, a feature extraction module leveraging the Kolmogorov–Arnold theorem to model complex nonlinear relationships in SAR images. …”
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Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region by Beijing XIE, Heng LI, Zheng LUAN, Zhen LEI, Xiaoxu LI, Zhuo LI

“…Furthermore, the WIOU boundary regression loss function is employed to increase the model's focus on common quality samples, addressing issues such as regression errors caused by imbalanced training samples. …”
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LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis by Jesika Debnath, Al Shahriar Uddin Khondakar Pranta, Amira Hossain, Anamul Sakib, Hamdadur Rahman, Rezaul Haque, Md.Redwan Ahmed, Ahmed Wasif Reza, S M Masfequier.Rahman Swapno, Abhishek Appaji

“…Traditional diagnostic approaches often face issues such as subjectivity, class imbalance, and limited applicability across different imaging modalities. …”
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UeDiff-GAN-based target detection and twin synchronization mapping for fully mechanized mining faces by ZHANG Fan, YU Yang, QI Zhenming, LI Haijun, WANG Chunli, DU Xiao, WANG Bingyin, ZHANG Guanglei, SONG Hui, XI Chenrong

“…A smooth diffusion algorithm was designed to regulate the diffusion step sizes, while an imbalanced diffusion module was incorporated to obtain a detection algorithm model that matches pre-identified samples. …”
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Entity class-restricted twin attention-based aggregation for geographic knowledge graph inference by Jinlan Kong, Xiaohui He, Haichuan Fang, Roujia Ji, Peng Yang, Shuang Li, Haofei Li, Haonan Sun, Mengjia Qiao, Panle Li, Xijie Cheng, Qinglei Zhou, Jiandong Shang

“…This module simultaneously considers the impact of context on entities and relations, further promoting the capture of GeoKG structural information. …”
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YOLO-MES: An Effective Lightweight Underwater Garbage Detection Scheme for Marine Ecosystems by Chengxu Huang, Wenyuan Zhang, Beitian Zheng, Jiahao Li, Bochen Xie, Ruisi Nan, Zongming Tan, Baohua Tan, Neal N. Xiong

“…Additionally, YOLO-MES embeds the Efficient Channel Attention (ECA) module within the bneck structure to form the MECAneck module, which enhances adaptive feature extraction, significantly improving the network’s cross-channel feature capture and target recognition capabilities. …”
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An improved U-net and attention mechanism-based model for sugar beet and weed segmentation by Yadong Li, Ruinan Guo, Rujia Li, Rongbiao Ji, Mengyao Wu, Dinghao Chen, Cong Han, Ruilin Han, Yongxiu Liu, Yuwen Ruan, Jianping Yang, Jianping Yang

“…Additionally, CBAM (Convolutional Block Attention Module) is incorporated into the decoder as a multi-scale feature fusion module, adaptively adjusting feature map weights to enable the model to focus more accurately on the edges and textures of crops and weeds.Results and discussionExperimental results show that the proposed model achieved 84.28% mIoU and 88.59% mPA on the sugar beet dataset, representing improvements of 3.08% and 3.15% over the baseline UNet model, respectively, and outperforming mainstream models such as FCN, PSPNet, SegFormer, DeepLabv3+, and HRNet. …”
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Application of network-based virtual instrument technology for remote inspection of vehicle by SHAO Yong-hua, BAO Yi-dan, WANG Li-da

“…A development module of network-based virtual instrument technology intended to be used for inspecting the performance of vehicle was presented. …”
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SPA-Net: An Offset-Free Proposal Network for Individual Tree Segmentation from TLS Data by Yunjie Zhu, Zhihao Wang, Qiaolin Ye, Lifeng Pang, Qian Wang, Xiaolong Zheng, Chunhua Hu

“…Subsequently, an affinity aggregation (AA) module robustly refines these proposals by assessing inter-proposal relationships and merging fragmented segments, effectively mitigating oversegmentation of large or complex trees; integrating with SGP eliminates the postprocessing step of scoring/NMS. …”
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Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting by Zefeng Pan, Renlong Hang, Qingshan Liu, Chunxiang Shi, Zhiqiang Xu, Xiao-Tong Yuan

“…However, the existing methods tend to inadequately weigh precipitation intensity features by only implicitly learning and modeling these features within the spatial distribution. To address this issue, we design an Intensity Trend Module (ITM) to explicitly learn and model the intensity features of extreme precipitation events. …”
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Unpaired Spatio-Temporal Fusion for Remote Sensing Images via Deformable Global-Local Feature Alignment by Xinlan Ding, Huihui Song, Xu Zhang

“…We design a feature alignment module to link the changed region with the surrounding stable region to obtain the global context information. …”
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Onboard, tethered IL-12 boosts potency of the Tmod NOT gate and preserves selectivity by Alexander Kamb, Sara Imboden, Dongwoo Lee, Mark E Daris, Alexandre Zampieri, Jingli A Zhang, Sanam Shafaattalab, Jushen Liang, Richele Bruno, Jon Torres, Alexander Partin, Timothy P Riley

“…Cells engineered with receptors that act as synthetic logic gates promise to address the issue of tumor specificity by targeting antigen profiles rather than single antigens. …”
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Temperature Control During Storage of Raw Materials in the Process of Biodiesel Fuel Production by Anzhelika M. Eremeeva, Yury V. Ilyushin

“…In the modern conditions of the growing consumer market for environmentally friendly industries, the issue of optimizing resource-intensive and energy-intensive technological chains is acute. …”
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Visual campaign for the 40th Anniversary of the Cienfuegos` Faculty of Medical Sciences by Fernando de la Mora Martín

“…In September of the 1982-1983 academic year, with the delivery of the first construction module of the Medicine School in Cienfuegos, the 1st Contingent of the Carlos Juan Finlay Medical Sciences Detachment began. …”
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MRA-YOLOv8: A Network Enhancing Feature Extraction Ability for Photovoltaic Cell Defects by Nannan Wang, Siqi Huang, Xiangpeng Liu, Zhining Wang, Yi Liu, Zhe Gao

“…Second, we integrate a multi-path feature extraction module, ResBlock, into the neck. This module provides finer-grained multi-scale features, improving feature extraction from complex backgrounds and enhancing the model’s robustness. …”
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