Semantic Edge Collapse: A Mesh Edge Collapse Algorithm preserving per Face Semantic Information by G. Grzeczkowicz, G. Grzeczkowicz, B. Vallet

“…It relies on integrating geometric simplification with segmentation alignment to produce a lightweight, unified mesh representation. Using an edge-collapse algorithm, our method combines geometry from an existing mesh with labeled point cloud data to create a continuous mesh with edges aligned to segmentation boundaries, preserving both geometric fidelity and semantic clarity. …”
Get full text

Acquisition and presentation system for Energy Management – design and implementation by Lukasz Korus, Andrzej Jablonski

Get full text

Zero Trust Strategies for Cyber-Physical Systems in 6G Networks by Abdulrahman K. Alnaim, Ahmed M. Alwakeel

Get full text

Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol by Mohammad A. Al Khaldy, Ahmad Nabot, Ahmad al-Qerem, Issam Jebreen, Abdulbasit A. Darem, Asma A. Alhashmi, Mohammad Alauthman, Amjad Aldweesh

“…Abstract This paper introduces a novel Reinforcement Learning-Based Hybrid Validation Protocol (RL-CC) that revolutionizes conflict resolution for time-sensitive IoT transactions through adaptive edge-cloud coordination. Efficient transaction management in sensor-based systems is crucial for maintaining data integrity and ensuring timely execution within the constraints of temporal validity. …”
Get full text

Edge Computing Architecture for the Management of Underwater Cultural Heritage by Jorge Herrera-Santos, Marta Plaza-Hernández, Sebastián López-Florez, Vladimir Djapic, Javier Prieto Tejedor, Emilio Santiago Corchado-Rodríguez

“…The platform processes data through a central unit installed on a buoy near heritage sites, enabling efficient data analysis and decision making without relying on cloud connectivity. Integrating acoustic communication systems, LoRa technology, and nonterrestrial networks supports a robust multilayered communication infrastructure for continuous operation, even in remote maritime areas. …”
Get full text

Wireless Sensor Networks in Environmental Monitoring Applications Challenges and Future Directions by R Suganya, P Balaramesh, S Kannadhasan, V Chandrasekhar, S R Arun Raj, R Dhilipkumar

“…To tackle those challenges, this research proposes an enhanced, optimized WSN framework integrative of blockchain-encrypted security, artificial intelligence (AI)-based adaptive routing, and hybrid edge–cloud computing. Their proposed system consisting of terrestrial, aerial and underwater WSNs ensures high-quality integration for continuous environmental monitoring, due to its seamless, energy-efficient and scalable nature. …”
Get full text

Digital-Twin-Based Ecosystem for Aviation Maintenance Training by Igor Kabashkin

“…The system architecture uses a cloud–edge hybrid model to ensure scalable, secure, and latency-sensitive delivery of training assets, ranging from computer-based training modules to high-fidelity operational simulations. …”
Get full text

Improving Telemedicine through IoT and Cloud Computing: Opportunities and Challenges by M. Sunil Kumar, D. Ganesh

“…The reports highlight the necessity of more studies on the integration of artificial intelligence in telemedicine and the adoption of edge computing solutions to overcome cloud-related issues in low-connectivity scenarios. …”
Get full text

Improving Far-Edge Device Management in IoT Applications Using Kubernetes by Carlos Resende, Joao Oliveira, Filipe Sousa, Waldir Moreira, Luis Almeida Sousa

“…Internet of Things (IoT) driven digitalization is shifting data processing to the edge, reducing the burden of constant cloud communication. …”
Get full text

Edge Computing for Real-Time Climate Data Analysis in Smart Farming by Shnain Ammar Hameed, Abed Z., Annapoorna Errabelli

“…It proposes the integration of edge cloud computing with real-time climate collection so that the condition of dynamic environment can be continuously analyzed. …”
Get full text

Edge Computing Architectures for Low-Latency Data Processing in Internet of Things Applications by Banoth Sreenu, M Vineesha, Punna Hari Shankar, P Mathiyalagan, Prakash Vijay, M Jasmin

“…Existing paradigms emphasis on cloud computing, the emerging edge computing architecture enable us to take care of of real-time processing, scalability, energy efficiency as well with similar security and fault tolerance. …”
Get full text

Joint optimization strategy of service cache and resource allocation in mobile edge network by Long LONG, Zichen LIU, Zaiwang LU, Yucheng ZHANG, Lei LI

“…Aiming at the problem that computing and storage resources of edge node in a mobile edge computing (MEC) system were limited, and excessive task offloading would cause the mismatch between the computing capacity and the load capacity of the edge server, resulting in the increase of task processing delay, the joint optimization of task offloading and storage resources under the three-layer network architecture composed of multi-user, edge server and cloud server was studied to reduce the overall system delay.For the problem was a mixed integer nonlinear problem, a joint optimization strategy of service caching and resource allocation was proposed.First, the continuous and discrete variables of the original problem were decoupled into two sub-problems, namely, the service cache decision problem and the joint optimization problem of computing resources and communication resources.Then, the linear reconstruction, relaxation method and convex optimization method were used to alternately optimize the two sub-problems to obtain the near-optimal solution.Simulation results demonstrate that the proposed strategy can obtain a near-optimal performance with low complexity, and can reduce up to 10% of the task duration compared with other strategies.…”
Get full text

Reliable ECG Anomaly Detection on Edge Devices for Internet of Medical Things Applications by Moez Hizem, Leila Bousbia, Yassmine Ben Dhiab, Mohamed Ould-Elhassen Aoueileyine, Ridha Bouallegue

“…The proposed workflow encompasses data preprocessing, feature extraction, and model inference, all executed directly on the edge device, eliminating the need for cloud resources. …”
Get full text

Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications by Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

“…In this paper, we propose an Asynchronous Real-Time Federated Learning (ART-FL) approach for anomaly detection in cloud-based microservice systems. In our approach, edge clients perform real-time learning with continuous streaming local data. …”
Get full text

A Literature Review Research on Monitoring Conditions of Mechanical Equipment Based on Edge Computing by Liqiang Song, Huaiguang Wang, Zhiyong Shi

“…The motivation of this research is to review all methods used in data compression of collected data in monitoring the condition of equipment based on the framework of edge computing. Since a large amount of signal data is collected when monitoring conditions of mechanical equipment, namely, signals of running machines are continuously transmitted to be crunched, compressed data should be handled effectively. …”
Get full text

Synergistic Integration of Edge Computing and 6G Networks for Real-Time IoT Applications by Ahmed M. Alwakeel

“…The rapid proliferation of Internet of Things (IoT) applications necessitates real-time data processing and low-latency communication, challenging traditional cloud computing paradigms. This research addresses these challenges by integrating edge computing with emerging 6G networks, proposing the ARMO (Adaptive Resource Management and Offloading) model. …”
Get full text

Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…This paper proposes a design scheme of distributed energy management system based on edge computing and machine learning, and optimizes it. …”
Get full text

Fault-Tolerant Scheduling Mechanism for Dynamic Edge Computing Scenarios Based on Graph Reinforcement Learning by Yuze Zhang, Geming Xia, Chaodong Yu, Hongcheng Li, Hongfeng Li

“…With the proliferation of Internet of Things (IoT) devices and edge nodes, edge computing has taken on much of the real-time data processing and low-latency response tasks which were previously managed by cloud computing. …”
Get full text

Accuracy-Aware MLLM Task Offloading and Resource Allocation in UAV-Assisted Satellite Edge Computing by Huabing Yan, Hualong Huang, Zijia Zhao, Zhi Wang, Zitian Zhao

“…However, cloud computing dependency introduces latency, bandwidth, and privacy challenges, while IoT device limitations require efficient distributed computing solutions. …”
Get full text

Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications by T. A. Alka, Aswathy Sreenivasan, M. Suresh

“…The findings of the study highlight the need for entrepreneurs to utilize emerging technologies to meet competition, and there is a requirement for continuous investment in data analytics, automation, cloud solutions, and emerging technologies. …”
Get full text