Adaptive Multi-Sensor Fusion for SLAM: A Scan Context-Driven Approach by Yijing Zhang, Jia Liu, Runxi Cao, Yunxi Zhang

“…This paper proposes a novel multi-sensor fusion SLAM algorithm, named SC-LVI-SAM, based on scanning context, to address the issues of decreased positioning accuracy caused by missing feature points and prolonged motion in complex large-scale scenes in multi-sensor fusion SLAM algorithms. …”
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MODELING AS A METHOD FOR SCIENTIFIC COGNITION OF COMPLEX MEAT SYSTEMS by Marina A. Nikitina, Aleksandr N. Zakharov, Victoria V. Nasonova, Andrey B. Lisitsyn

“…The paper examines the issues associated with the integration of knowledge in meat product technology + computers + mathematical methods. …”
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ICCAT Inspections in Turkey and Turkey’s National Legislation Compliance With the ICCAT Recommendations by Raziye Tanrıverdi

“…The necessary information and incentives should be provided for the fishing vessels of less than 12 m in length, which had obtained swordfish fishery permits, to use fuel without special consumption tax, in order to monitor them electronically via Vessel Tracking Module. In order to control the quota in swordfish fishery, it should be obligatory to use a paper logbook for fishing vessels less than 12 meters in length. …”
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YOLO-Wheat: A More Accurate Real-Time Detection Algorithm for Wheat Pests by Yongkang Liu, Qinghao Wang, Qi Zheng, Yong Liu

“…We provide an enhanced algorithm, YOLO-Wheat, based on YOLOv8, to solve the aforementioned issues. The proposed YOLO-Wheat, an extension of YOLOv8, integrates SimAM into the C2f module to enhance feature extraction capabilities. …”
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Development and laboratory evaluation of a novel IoT-based electric-driven metering system for high precision garlic planter. by Abdallah Elshawadfy Elwakeel, Ahmed Elbeltagi, Ahmed Z Dewidar, Ali Salem, Mohamed Anwer Abdeen

“…In order to address many issues, such as the inconsistent and unreliable seeding process in traditional mechanical garlic seed metering systems (SMS), as well as the lack of ability to monitor the effectiveness of the seeding, a highly accurate electric-driven metering system (EDMS) was developed and created specifically for garlic seed planters. …”
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The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning by Yanjie Zhan

“…It aims to better address the issues of personalized educational resource recommendation and delayed dynamic response in the talent cultivation model for higher education study tours. …”
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Single-Image Super-Resolution via Cascaded Non-Local Mean Network and Dual-Path Multi-Branch Fusion by Yu Xu, Yi Wang

“…While numerous methods have been proposed, the traditional approaches suffer from oversmoothing and limited generalization; CNN-based models lack the ability to capture long-range dependencies; and Transformer-based solutions, although effective in modeling global context, are computationally intensive and prone to texture loss. To address these issues, we propose a hybrid CNN–Transformer architecture that cascades a pixel-wise self-attention non-local means module (PSNLM) and an adaptive dual-path multi-scale fusion block (ADMFB). …”
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Research on Multi-Target Detection and Tracking of Intelligent Vehicles in Complex Traffic Environments Based on Deep Learning Theory by Xuewen Chen, Shilong Yan, Chenxi Xia

“…To address the issues of missed detections and false detections of small target missed detections caused by dense occlusion in complex traffic environments, a non-maximum suppression method, Bot-NMS, is proposed to achieve accurate prediction and localization of occluded targets. …”
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Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images by C. B. Vanaja, P. Prakasam

“…Methods To address the aforementioned issues, a unique approach for MA segmentation is proposed based on the CBAM-AG U-Net model, which incorporates Convolutional Block Attention Module (CBAM) and Attention Gate (AG) processes into the U-Net architecture to boost the extraction of features and segmentation accuracy. …”
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A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network by Shaobin Cai, Han Xu, Wanchen Cai, Yuchang Mo, Liansuo Wei

“…First, the EMRF module is employed to further enhance the model’s feature representation capability. …”
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Knowledge distillation-enhanced marine optical remote sensing object detection with transformer and dual-path architecture by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Jinlin Chen

“…The encoder integrates a Holistic Focal Feature Interwined (HFFI) module that employs parallel pathways to progressively refine local textures and global semantic representations, enabling adaptive feature fusion across spatial hierarchies. …”
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INFLUENCE OF THE SMALL HYDROPOWER STATIONS ON THE HYDROLOGIC PROCESSES IN THE SERET RIVER (LEFT TRIBUTARY OF THE DNISTER RIVER) by Olha Pylypovych, Andrii Mykhnovych, Yuriy Andreychuk, Uliana Morozovs’ka

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Accurate Detection and Tracking of Small-Scale Vehicles in High-Altitude Unmanned Aerial Vehicle Bird-View Imagery by Heshan Zhang, Xin Tan, Mengwei Fan, Cunshu Pan, Zhanji Zheng, Shuang Luo, Jin Xu

“…A convolutional block attention module (CBAM) is inserted in front of the neck network to select crucial information for vehicle detection tasks while suppressing noncritical ones. …”
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Detection of Crack Sealant in the Pretreatment Process of Hot In-Place Recycling of Asphalt Pavement via Deep Learning Method by Kai Zhao, Tianzhen Liu, Xu Xia, Yongli Zhao

“…However, during asphalt pavement hot in-place recycling (HIR), irregular shapes and random distribution of crack sealants can cause issues like agglomeration and ignition. To address these problems, it is necessary to mill large areas containing crack sealant or pre-mark locations for removal after heating. …”
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Laser weld spot detection based on YOLO-weld by Jianxin Feng, Jiahao Wang, Xinyu Zhao, Zhiguo Liu, Yuanming Ding

“…Finally, a lightweight multi-scale feature processing module, MSBCSPELAN, is proposed to enhance multi-scale feature handling while reducing the number of model parameters. …”
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A UAV perspective based lightweight target detection and tracking algorithm for intelligent transportation by Quan Wang, Guangfei Ye, Qidong Chen, Songyang Zhang, Fengqing Wang

“…Furthermore, the C2f module is replaced by the FPW to reduce the pointless computation and memory utilization of the model. …”
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Deepfake Detection Method Integrating Multiple Parameter-Efficient Fine-Tuning Techniques by ZHANG Yiwen, CAI Manchun, CHEN Yonghao, ZHU Yi, YAO Lifeng

“…Existing methods for deepfake detection commonly suffer from issues including poor cross-compression robustness, weak cross-dataset generalization, and high model training overheads. …”
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The research on landslide detection in remote sensing images based on improved DeepLabv3+ method by Yong Li

“…Additionally, the model incorporates a dual attention mechanism from the lightweight Convolutional Block Attention Module to more accurately and efficiently detect landslide features. …”
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GRU2-Net: Global response double U-shaped network for lesion segmentation in ultrasound images by Xiaokai Jiang, Xuewen Ding, Jinying Ma, Chunyu Liu, Xinyi Li

“…The encoder-decoder backbone is constructed using a U-shaped Dilated Convolution module, which effectively captures fine-grained local features and enhances boundary delineation, particularly under low-contrast conditions. …”
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Plug-and-Play PRNU Enhancement Algorithm with Guided Filtering by Yufei Liu, Yanhui Xiao, Huawei Tian

“…This algorithm can function as a plug-and-play module, seamlessly integrating with existing mainstream enhancement techniques to further boost PRNU performance. …”
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