From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI by Ilenia Ficili, Maurizio Giacobbe, Giuseppe Tricomi, Antonio Puliafito

“…This paper explores innovative approaches to combine these technologies, emphasizing their role in enabling real-time decision-making, predictive analytics, and low-latency data processing. This work analyzes several integration approaches among IoT, cloud/edge computing, and AI through examples and applications, highlighting challenges and approaches to seamlessly integrate these techniques to achieve pervasive environmental intelligence. …”
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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.…”
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Modeling and Performance Analysis of Task Offloading of Heterogeneous Mobile Edge Computing Networks by Wenwang Li, Haohao Zhou

“…Mobile edge computing architecture (MEC) can provide users with low latency services by integrating computing, storage and processing capabilities near users and data sources. …”
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Refined Judgment of Urban Traffic State Based on Machine Learning and Edge Computing by Lijuan Liu

“…For providing short-distance services and applications, we should start from the edge of the program to create a faster network. Service response covers the basic needs of real-time processing industry, intelligent applications, and security and privacy protection. …”
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How cutting- edge technologies shape cultural identity in ultramodern Arabic literature by Mohammad Saleh Bani Issa

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On joint efficiency of composite anisotropic plate rigidly fixed along outside edges by A. G. Akopyan

“…Introduction. Modern processes of welding, surfacing, soldering and bonding provide producing structural elements of monolithic interconnected dissimilar anisotropic materials. …”
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Innovative adaptive edge detection for noisy images using wavelet and Gaussian method by Huanxu Li, Keke Xu

“…Abstract Edge detection is a crucial task in image processing and remote sensing, particularly for accurately identifying and separating shapes in noisy digital images. …”
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POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks by Tamilarasan Ananth Kumar, Rajendirane Rajmohan, Sunday Adeola Ajagbe, Oluwatobi Akinlade, Matthew Olusegun Adigun

“…It investigated how multi-access edge computing can reduce latency and energy usage. …”
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Consideration and Evaluation of Network Location and Communication Protocols Utilizing HTTP for Edge Computing by Li Yanzhi, Midori Sugaya

“…In recent years, Edge Computing has gained attention to alleviate the concentration of traffic in the cloud by processing large amounts of data on Edge servers closer to the data source. …”
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Generative AI-driven edge-cloud system for intelligent road infrastructure inspection by Naveed Ejaz, A.B.M. Bodrul Alam, Salimur Choudhury

“…This paper presents a novel hybrid edge-cloud framework for intelligent road infrastructure inspection, combining lightweight AI on edge devices with generative AI in the cloud. …”
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Contrast-Invariant Edge Detection: A Methodological Advance in Medical Image Analysis by Dang Li, Patrick Cheong-Iao Pang, Chi-Kin Lam

“…To optimize the visualization and enhance the robustness of contrast changes, we propose the Contrast Invariant Edge Detection (CIED) method. CIED combines Gaussian filtering and morphological processing methods to preprocess medical images. …”
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Sheared edge formability of multi-phase steels under in- and out-of-plane deformation by Narayanan Advaith, Northcote Rhys, Cleary Patrick, Quinones Miguel, Butcher Cliff

“…Processing defects such as centerline segregation of martensite or Ti-based inclusions can affect edge formability depending upon the applied deformation such as in-plane stretching versus out-of-plane hole extrusion. …”
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Enhanced Acoustic Mixing in Silicon-Based Chips with Sharp-Edged Micro-Structures by Mehrnaz Hashemiesfahan, Pierre Gelin, Han Gardeniers, Wim De Malsche

“…The streaming patterns around the sharp edges are particularly effective for the mixing because they can produce strong lateral flows that rapidly homogenize liquids. …”
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Smart Edge Computing Framework for Real-Time Brinjal Harvest Decision Optimization by T. Tamilarasi, P. Muthulakshmi, Seyed-Hassan Miraei Ashtiani

“…Moreover, the system’s low energy consumption, operating for over 7 h on a 10,000 mAh power bank, demonstrates its practicality for agricultural edge applications. The BHDS provides an efficient, cost-effective solution for automating harvesting decisions, minimizing manual data processing, reducing computational overhead, and maintaining high precision and operational efficiency.…”
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Edge computing-based ensemble learning model for health care decision systems by Asir Chandra Shinoo Robert Vincent, Sudhakar Sengan

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Microcontroller-Based EdgeML: Health Monitoring for Stress and Sleep via HRV by Priyanshu Srivastava, Namita Shah, Kavita Jaiswal

“…However, traditional ML systems often face challenges in real-time processing and resource efficiency, limiting their application in life-critical scenarios. …”
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On the Stellar Disk Vertical Scale Height of Edge-on Galaxies from S4G by Notahiana Ranaivoharimina, T. Randriamampandry, Jing Wang, K. Menéndez-Delmestre, T. S. Gonçalves

“…We measure the stellar disk scale height of 46 edge-on spiral galaxies from the Spitzer Survey of Stellar Structure in Galaxies (S ^4 G) project. …”
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Hardware/Software Co-Design Optimization for Training Recurrent Neural Networks at the Edge by Yicheng Zhang, Bojian Yin, Manil Dev Gomony, Henk Corporaal, Carsten Trinitis, Federico Corradi

“…Edge devices execute pre-trained Artificial Intelligence (AI) models optimized on large Graphical Processing Units (GPUs); however, they frequently require fine-tuning when deployed in the real world. …”
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Tree diversity drives associational resistance to herbivory at both forest edge and interior by Virginie Guyot, Hervé Jactel, Baptiste Imbaud, Laurent Burnel, Bastien Castagneyrol, Wilfried Heinz, Marc Deconchat, Aude Vialatte

“…Discrepancies among published studies may be due to the overlooked effect of spatially dependent processes such as tree location within forests. We addressed this issue by measuring crown defoliation and leaf damage made by different guilds of insect herbivores on oaks growing among conspecific versus heterospecific neighbors at forest edges versus interior, in two closed sites in SW France forests. …”
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AI and IoT-powered edge device optimized for crop pest and disease detection by Jean Pierre Nyakuri, Celestin Nkundineza, Omar Gatera, Kizito Nkurikiyeyezu, Gervais Mwitende

“…The system consists of a high-definition camera for real-time plant image acquisition, a Raspberry-Pi 5 integrated with the Tiny-LiteNet model for edge processing, and a GSM/GPRS module for cloud communication. …”
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