Microalgae to Biofuel: Cutting‐Edge Harvesting and Extraction Methods for Sustainable Energy Solution by Abu Saleh Ahmed, Alamry Ali, Emre Gorgun, M. Jameel, Tasmina Khandaker, Md. Shaharul Islam, Md. Saiful Islam, Masuk Abdullah

Get full text

Ge Enrichment of Ge–Sb–Te Alloys as Keystone of Flexible Edge Electronics by Sabrina Calvi, Marco Bertelli, Sara De Simone, Francesco Maita, Simone Prili, Adriano Diaz Fattorini, Fabio De Matteis, Valentina Mussi, Flavia Righi Riva, Massimo Longo, Fabrizio Arciprete, Raffaella Calarco

“…Abstract Edge computing architectures are intended to store and process data nearby the sensor, while ensuring fast and safe data processing, low power consumption and cost minimization. …”
Get full text

From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging by Bilgehan Akdemir, Hafiz Faheem Shahid, Mikael A. K. Brix, Juho Laakkola, Johirul Islam, Tanesh Kumar, Jarmo Reponen, Miika T. Nieminen, Erkki Harjula

“…A continuum of computing including local, edge, and cloud tiers would offer a promising solution for medical image processing. …”
Get full text

Lightweight error-tolerant edge detection using memristor-enabled stochastic computing by Lekai Song, Pengyu Liu, Jingfang Pei, Yang Liu, Songwei Liu, Shengbo Wang, Leonard W. T. Ng, Tawfique Hasan, Kong-Pang Pun, Shuo Gao, Guohua Hu

“…Abstract The demand for efficient edge computer vision has spurred the development of stochastic computing for image processing. …”
Get full text

Mitochondrial (dys) function: a double edge sword in cell stress response by Nicoletta Guaragnella, Maria Antonietta Di Noia, Angela Primavera

Get full text

Multi-Area, Multi-Service and Multi-Tier Edge-Cloud Continuum Planning by Anargyros J. Roumeliotis, Efstratios Myritzis, Evangelos Kosmatos, Konstantinos V. Katsaros, Angelos J. Amditis

“…This paper presents the optimal planning of multi-area, multi-service, and multi-tier edge–cloud environments. The goal is to evaluate the regional deployment of the compute continuum, i.e., the type and number of processing devices, their pairing with a specific tier and task among different areas subject to processing, rate, and latency requirements. …”
Get full text

Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect by Kai JIANG, Yue CAO, Huan ZHOU, Xuefeng REN, Yongdong ZHU, Hai LIN

“…As an emerging inter discipline field, edge intelligence pushes AI to the side close to the traffic data source.Edge intelligence makes use of the computing power, storage resources, and perception ability of edge to provide a more intelligent and efficient resource allocation and processing mechanism while providing a real-time response, intelligent decision-making and network autonomy, realizing the critical leap for internet of vehicles from access “pipelining” to the intelligent enabling platform of information.However, the successful implementation of edge intelligence in internet of vehicles is still in its infancy, and there exists a demand for a comprehensive survey in this young field from a broader perspective.Based on this context of internet of vehicles, the background, concepts and key technologies of edge intelligence were introduced.Then, a holistic overview of service types based on internet of vehicles was taken, and the entire processes of model training and inference in edge intelligence were elaborated.Finally, to promote the potential research directions, the key open challenges of edge intelligence in the internet of vehicles were analyzed, and the coping strategies were discussed.…”
Get full text

Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect by Kai JIANG, Yue CAO, Huan ZHOU, Xuefeng REN, Yongdong ZHU, Hai LIN

“…As an emerging inter discipline field, edge intelligence pushes AI to the side close to the traffic data source.Edge intelligence makes use of the computing power, storage resources, and perception ability of edge to provide a more intelligent and efficient resource allocation and processing mechanism while providing a real-time response, intelligent decision-making and network autonomy, realizing the critical leap for internet of vehicles from access “pipelining” to the intelligent enabling platform of information.However, the successful implementation of edge intelligence in internet of vehicles is still in its infancy, and there exists a demand for a comprehensive survey in this young field from a broader perspective.Based on this context of internet of vehicles, the background, concepts and key technologies of edge intelligence were introduced.Then, a holistic overview of service types based on internet of vehicles was taken, and the entire processes of model training and inference in edge intelligence were elaborated.Finally, to promote the potential research directions, the key open challenges of edge intelligence in the internet of vehicles were analyzed, and the coping strategies were discussed.…”
Get full text

Automatic Edge Detection From Point Clouds Collected by Terrestrial Laser Scanners by Anh Thu Thi Phan, Thi Ngoc Huynh, Mai Pham Huynh

“…Consequently, the surge in demand for reconstructing three-dimensional (3D) models from point cloud data has promoted the development of automatic or semiautomatic data processing processes. In this study, an automated method for extracting edge points from 3D point clouds collected by terrestrial laser scanners is introduced. …”
Get full text

Generate vector graphics of fine-grained pattern based on the Xception edge detection. by Anqi Chen, Yicui Peng, Meng Li, Hao Chen, Chang Liu, Jinrong Hu, Xiang Wen, Guo Huang

“…Harnessing the power of artificial intelligence(AI) approaches to innovatively generating the vector graphics of fine-grained patterns has become an important task in image edge extraction, particularly on the domain of intangible cultural heritage (ICH) images where they are typically fine-grained and having the complex edges. …”
Get full text

Cold plasma technology: A cutting-edge approach for enhancing shrimp preservation by Fataneh Hashempour-baltork, Adel Mirza Alizadeh, Mansoureh Taghizadeh, Hedayat Hosseini

Get full text

Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN) by Veselka Boeva, Emiliano Casalicchio, Shahrooz Abghari, Ahmed Abbas Mohsin Al-Saedi, Vishnu Manasa Devagiri, Andrej Petef, Peter Exner, Anders Isberg, Mirza Jasarevic

Get full text

Comprehensive Review of Edge Computing for Power Systems: State of the Art, Architecture, and Applications by Fatma Yıldırım, Yunus Yalman, Kamil Çağatay Bayındır, Erman Terciyanlı

“…The increasing complexity of conventional energy distribution systems, combined with the growing demand for efficient data processing, has necessitated the implementation of smart grid technologies and the integration of advanced computing paradigms such as edge computing. …”
Get full text

Integrated edge-to-exascale workflow for real-time steering in neutron scattering experiments by Junqi Yin, Viktor Reshniak, Siyan Liu, Guannan Zhang, Xiaoping Wang, Zhongcan Xiao, Zachary Morgan, Sylwia Pawledzio, Thomas Proffen, Christina Hoffmann, Huibo Cao, Bryan C. Chakoumakos, Yaohua Liu

“…We introduce a computational framework that integrates artificial intelligence (AI), machine learning, and high-performance computing to enable real-time steering of neutron scattering experiments using an edge-to-exascale workflow. Focusing on time-of-flight neutron event data at the Spallation Neutron Source, our approach combines temporal processing of four-dimensional neutron event data with predictive modeling for multidimensional crystallography. …”
Get full text

Efficient productivity prediction model based on edge data compression in smart farms by Peng Jin, Wenshuang Du, Wenquan Jin

“…By integrating Internet of Things (IoT) devices with edge computing, smart farms significantly improve real-time data processing and decision-making capabilities, thereby enhancing agricultural productivity. …”
Get full text

A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum by Janis Judvaitis, Eduards Blumbergs, Audris Arzovs, Andris Ivars Mackus, Rihards Balass, Leo Selavo

“…Internet of Things (IoT), Edge, and Cloud components combined with artificial intelligence (AI) in data processing systems must ensure strong security and privacy for data sources. …”
Get full text

Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm by Rana Al-Rawashdeh, Md Mahfuzur Rahman, Mahmood Niazi

“…In this research, a new framework is proposed that integrates the edge detection strategy (using edge detectors) with the deep learning methods, such as a convolutional neural network (CNN), for making secret data embedding and extraction processes efficient. …”
Get full text

Research on distributed multi-access edge computing based on mimic defense theory by Hongyi ZHU, Xiaoyuan LU, Yi LI

“…The highly efficient network resources are provided by multi-access edge computing at the edge of the network,but high security capability is required also due to its distributed position and organization.Based on mimic defense theory,mimic defense structure for distributed multi-access edge computing was proposed.By segmenting data,padding check data and processing data at multiple edge node,dynamic scheduling and decision-making functions according to checksum were implemented.The simulation results show that with the increase of delay cost,the data manipulation and leak rates can be reduced effectively by the proposed structure.The edge node scheduling strategy based on trust and cost is proposed to improve the efficiency and security of the system.…”
Get full text

A Microgrid Security Defense Method Based on Cooperation in an Edge-Computing Environment by Jian Shang, Runmin Guan, Changlu Shen

“…Aiming at the problems of high delay and vulnerable to network attack in the traditional microgrid centralized architecture, a collaborative microgrid security defense method in the edge-computing environment is proposed. First, we build the edge-computing framework for microgrid, deploy the edge-computing server near the equipment terminal to improve the data processing efficiency, and deploy the blockchain in the edge server to ensure the reliability of the system. …”
Get full text

Enhancing healthcare AI stability with edge computing and machine learning for extubation prediction by Kuo-Yang Huang, Ying-Lin Hsu, Che-Liang Chung, Huang-Chi Chen, Ming-Hwarng Horng, Ching-Hsiung Lin, Ching-Sen Liu, Jia-Lang Xu

“…The system was deployed on edge devices to enable on-site inference with minimal latency. …”
Get full text