Differential Flatness-Based Singularity-Free Control of a Class of 5-DOF Aerial Platforms with Applications to Passively Articulated Dual-UAV Systems by Jiali Sun, Yushu Yu, Zhe Chen, Meichen Jiang, Xin Meng

“…However, PADUAVs encounter singularity issues in certain configurations. To address this challenge, we propose a novel singularity-avoidance control strategy. …”
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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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Deep learning-based object detection and robotic arm grasping by ZHANG Lei, ZHANG Senhui, YAN Song, YUAN Yuan

“…Addressing the issues of slow speed and poor performance in multi-object grasping detection in unstructured environments, a method of performing object detection before grasping detection is proposed. …”
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Grape Target Detection Method in Orchard Environment Based on Improved YOLOv7 by Fuchun Sun, Qiurong Lv, Yuechao Bian, Renwei He, Dong Lv, Leina Gao, Haorong Wu, Xiaoxiao Li

“…In addition, a Channel Attention (CA) module was added to the neck network to reduce interference from the orchard background and to accelerate the inference speed. …”
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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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Advanced IoT-integrated parking systems with automated license plate recognition and payment management by Gulmini Pradhan, Manas Ranjan Prusty, Vipul Singh Negi, Suchismita Chinara

“…Occupancy tracking achieved less than a 5% error margin compared to manual methods, while the fare calculation module reduced billing errors by 90%, enhancing efficiency and revenue. …”
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Prefix Tuning Using Residual Reparameterization by Youngjun Jung, Hyunsun Hwang, Changki Lee

“…Fine-tuning large language models for specific tasks requires updating and storing all parameters, leading to significant computational and storage cost issues. To address these challenges, parameter-efficient learning such as prefix tuning has gained attention. …”
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Improving Energy Efficiency in QoS-Constrained Wireless Sensor Networks by Mohamed Abdelaal, Oliver Theel, Christian Kuka, Peilin Zhang, Yang Gao, Vasilisa Bashlovkina, Daniela Nicklas, Martin Fränzle

“…In the second method, the sensing module is targeted by employing reliable virtual sensors. …”
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Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency by Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho

“…In this paper, we propose the Dynamic Iterative Monocular Depth Estimation (DI-MDE) framework, which integrates an iterative refinement process with a novel scale-alignment module to address these issues. Our approach combines elastic depth bins that adjust dynamically based on uncertainty estimates with a scale-alignment mechanism to ensure consistency between static and dynamic regions. …”
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Matlab-Based Modeling and Simulations to Study the Performance of Different MPPT Techniques Used for Photovoltaic Systems under Partially Shaded Conditions by Jehun Hahm, Jaeho Baek, Hyoseok Kang, Heejin Lee, Mignon Park

“…A pulse-width-modulator- (PWM-) based sliding mode controller is developed to study the effects of partial shade, temperature, and insolation on the performance of maximum power point tracking (MPPT) used in photovoltaic (PV) systems. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…A deep feature extraction process is performed using the ResNet50 model, integrated with the Convolutional Block Attention Module (CBAM). Subsequently, the Sparrow Optimization Algorithm (SSA) is applied to optimize the hyperparameters of the ResNet50 model, which is trained on DGA data as the teacher model. …”
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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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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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SAMFA: A Flame Segmentation Algorithm for Infrared and Visible Aerial Images in the Same Scene by Jianye Yuan, Min Yang, Haofei Wang, Xinwang Ding, Song Li, Wei Gong

“…Firstly, while freezing the original parameters of the large model, only the additionally incorporated Adapter module is fine-tuned to better adapt the network to the specificities of the flame segmentation task. …”
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Dual-Stream Spatially Aware Transformer for Remote Sensing Image Captioning by Haifeng Sima, Xiangtao Ding, JianLong Wang, Mingliang Xu

“…Specifically, DSAT introduces a <italic>dual-stream feature interaction</italic> module that extracts grid-level global features and region-level object features, and further enhances their respective spatial dependencies through multibranch convolution and a graph attention network. …”
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A Lightweight Single-Image Super-Resolution Method Based on the Parallel Connection of Convolution and Swin Transformer Blocks by Tengyun Jing, Cuiyin Liu, Yuanshuai Chen

“…Additionally, this paper designs a fusion module to integrate the global and local information extracted by CNNs. …”
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Flood extent mapping in SAR images using semi-supervised approach by Girisha S, Savitha G, Sughosh P

“…The paper employs consistency regularization and pseudo-label generation to overcome these issues and presents a novel hybrid semi-supervised semantic segmentation method. …”
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Developing Kindergarten Management System for Supporting the Regional Educational Report by Anita Anita, Sutan Arif Pambudi, Nira Radita, Hilman Nuril Hadi

“…Each module was tested using black-box testing and successfully met functional requirements. …”
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Surface Defect Detection Algorithm for Wind Turbine Blades Based on HSCA-YOLOv7 by Bing LI, Yunshan BAI, Kuan ZHAO, Congbin GUO, Yongjie ZHAI

“…Then, deep separable convolutions with different expansion rates are introduced into the improved spatial pyramid pooling (ISPP) module to reduce the loss of details caused by pooling operations. …”
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