Computer Vision-Based Drowsiness Detection Using Handcrafted Feature Extraction for Edge Computing Devices by Valerius Owen, Nico Surantha

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Manipulation of Topological Edge States and Realization of Zero-Dimensional Higher-Order Topological Point States by Jiahui Ren, Wenjing Ding, Sihan Wang, Shiwei Tang

“…Continuous adjustment of the spacing between their coupling pillars can induce the closure and reopening of topological edge state energy bands, accompanied by significant band inversion, revealing the dynamic process of topological phase transitions. …”
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Autonomous scheduling mechanism based on energy awareness for improving resource allocation in serverless IoT edge by Mohsen Ghorbian, Mostafa Ghobaei-Arani, Leila Esmaeili

“…This choice is complex since allocating the necessary resources to process requests depends on the energy available in the active nodes. …”
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Fault Diagnosis Method for UHVDC Transmission Based on Deep Learning under Cloud-Edge Architecture by Shihao Zhou, Benren Pan, Dongbin Lu, Yiming Zhong, Guannan Wang

“…Aiming at the problem of fault diagnosis after the UHVDC system fails, a deep learning-based UHVDC fault diagnosis method under the cloud-edge architecture is proposed. First, based on the edge computing framework of the “cloud” + “edge terminal,” a four-layer fault diagnosis structure including the data integration layer, edge prediction layer, cloud diagnosis layer, and human-computer interaction layer is constructed. …”
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Simulation of X-ray fluorescence and K-edge absorption spectra using Geant4 code by Anna S. Kotlyarevskaya, Alexander O. Pavlyuk

“…The authors have developed the computational model of hybrid device for determining concentration of actinides in radioactive waste or process solutions using X-ray fluorescence analysis and X-ray densitometry. …”
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Edge Constrained DSM Refinement Based on Shading From High-Resolution Multiview Satellite Images by Zhihua Hu, Kao Zhang, Yuxuan Liu

“…First, an improved semiglobal matching (SGM) method is applied to reconstruct the initial DSM; then, the initial DSM and the original images are used to detect the discontinuity areas in the scene; finally, the initial DSM is refined by minimizing an edge constrained energy function, which models the imaging process with the illumination, surface albedo, and surface normal. …”
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Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing by Feifan Zhu, Fei Huang, Yantao Yu, Guojin Liu, Tiancong Huang

“…Unmanned aerial vehicles (UAVs) furnished with computational servers enable user equipment (UE) to offload complex computational tasks, thereby addressing the limitations of edge computing in remote or resource-constrained environments. …”
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Implementation of Image Enhancement and Edge Detection Algorithm on Diabetic Retinopathy (DR) Image Using FPGA by Mumtahina Orthy, Sheikh Md. Rabiul Islam, Faijah Rashid, Md. Asif Hasan

“…It focuses on elucidating the enhancement techniques that pertain to DR images, which aim to optimize the visual quality of said images in order to facilitate more facile disease detection. The process of detecting edges within DR images is also executed by Sobel edge detection algorithm. …”
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Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation by Yao Zheng, Jingyuan Li, Jianhe Cen, Shiqi Sun, Dahu Yin, Yuanzhuo Wang

“…Therefore, an important research direction is to minimize the loss of graph structural information during the model training process. We propose a framework named Edge-Optimized Multi-Level Information refinement (EMLR), which aims to maximize the retention of the graph’s structural information from an edge perspective. …”
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From Classic to Cutting-Edge: A Near-Perfect Global Thresholding Approach with Machine Learning by Nicolae Tarbă, Costin-Anton Boiangiu, Mihai-Lucian Voncilă

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An edge enhancement graph neural network model with node discrimination for knowledge graph representation learning by Tao Wang, Bo Shen

“…However, GNN-based approaches face two main challenges: first, they fail to differentiate between the types of adjacent nodes during the information aggregation process; second, the edge representations lack relational semantic information and fail to capture the characteristics of adjacent nodes. …”
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Task Offloading and Data Compression Collaboration Optimization for UAV Swarm-Enabled Mobile Edge Computing by Zhijuan Hu, Shuangyu Liu, Dongsheng Zhou, Chao Shen, Tingting Wang

“…The combination of Unmanned Aerial Vehicles (UAVs) and Mobile Edge Computing (MEC) effectively meets the demands of user equipments (UEs) for high-quality computing services, low energy consumption, and low latency. …”
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Quantitative assessment of adhesive effects on partial and full compressive strength of LVL in the edge-wise direction by Ryutaro Sudo, Kohta Miyamoto, Hirofumi Ido

“…Abstract Laminated wood-based materials have been widely developed, and the laminating process and adhesive itself have been reported to enhance performance beyond the sum of the individual layers' performance. …”
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ETC-PCR: Coarse-to-Fine Edge-Triangle Compatibility for Robust and Accurate Point Cloud Registration by Mingyuan Zhao, Long Xu

“…However, despite advances in deep learning for feature extraction and matching, the presence of a low inlier ratio often complicates the estimation process. To address these challenges, this paper proposes a novel inlier estimation approach in PCR that leverages edge-triangle combined compatibility for progressively filtering out outliers. …”
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Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation by Fabio Franchi, Francesco Zullo, Alessandra Galassi

“…An innovative ICT platform for services on spatial databases has been designed and developed to support the activities of a special Public Administration established ad hoc to guide the post-seismic reconstruction process in Italy, for which monitoring the status of works is a milestone, as well as having a clear and official informative tool. …”
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Secure intelligent reflecting surface assisted mobile edge computing system with wireless power transfer by Dawei Wang, Xuanrui Li, Menghan Wu, Yixin He, Yi Lou, Yu Pang, Yi Lu

“…Moreover, we propose a dichotomy particle swarm algorithm based on the bisection method to process the overall optimization problem and improve the convergence speed. …”
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Multihop cost awareness task migration with networking load balance technology for vehicular edge computing by Shih-Yang Lin, Jie-Qin Wang, Shi-Ming Peng, Miao-Hui Yang, Shuo Jia

“…Its network architecture will evolve towards multi-access edge computing (MEC) distributing cloud applications to support inter-vehicle applications such as cooperative driving. …”
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Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing by Fengling Huang, Xuqi Su, Quanbao Wang, Fusen Guo

“…Abstract In recent years, Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC) systems have emerged as innovative solutions for delivering efficient communication and computing services to Internet of Things (IoT) devices. …”
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Federated Learning for Privacy-Preserving Severity Classification in Healthcare: A Secure Edge-Aggregated Approach by Ankita Maurya, Rahul Haripriya, Manish Pandey, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

“…The framework incorporates secure multiparty computation (SMPC) with Shamir’s Secret Sharing to ensure encrypted communication between clients and edge aggregators, preserving data confidentiality throughout the training process. …”
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Enhancing 5G Vehicular Edge Computing Efficiency with the Hungarian Algorithm for Optimal Task Offloading by Mohamed Kamel Benbraika, Okba Kraa, Yassine Himeur, Khaled Telli, Shadi Atalla, Wathiq Mansoor

“…To address this limitation, Vehicular Edge Computing (VEC) has emerged as a promising solution, allowing AVs to offload computational tasks to nearby vehicles and edge servers. …”
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