Process optimization of silica encapsulation technique as a unique remediation technology for the treatment of crude oil contaminated soil by Vincent O. Akpoveta

“…Optimum concentrations of 60,000 ppm sodium silicate solution, 120,000 ppm SDS, applied at optimum pH and temperature of 5 and 25 °C respectively were established from the process optimization of the experimental technique. …”
Get full text

Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption by Gaofeng CUI, Yuanyuan XU, Shanghong ZHANG, Weidong WANG

“…To solve the problems of ground passive eavesdropping when ground users offload data to the multi-UAV(unmanned aerial vehicle) edge computing network, a secure data offloading strategy that minimized system energy consumption by jointly optimizing user matching and resource allocation was proposed.Considering the constraints of system delay, communication resources and computing resources, the probability of security interruption was used to restrict the security performance of the data offload process.By using block coordinate descent and successive convex approximation algorithm, the user transmission power, offload factor, UAV computing resource allocation and jamming power were jointly optimized.A pair-wise stable user matching algorithm was proposed to minimize the total energy consumption of UAV system.Simulation results demonstrate that the algorithm can realize the safe offloading of data, and has good performance in energy consumption and delay by comparing with the conventional strategies.…”
Get full text

Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption by Gaofeng CUI, Yuanyuan XU, Shanghong ZHANG, Weidong WANG

“…To solve the problems of ground passive eavesdropping when ground users offload data to the multi-UAV(unmanned aerial vehicle) edge computing network, a secure data offloading strategy that minimized system energy consumption by jointly optimizing user matching and resource allocation was proposed.Considering the constraints of system delay, communication resources and computing resources, the probability of security interruption was used to restrict the security performance of the data offload process.By using block coordinate descent and successive convex approximation algorithm, the user transmission power, offload factor, UAV computing resource allocation and jamming power were jointly optimized.A pair-wise stable user matching algorithm was proposed to minimize the total energy consumption of UAV system.Simulation results demonstrate that the algorithm can realize the safe offloading of data, and has good performance in energy consumption and delay by comparing with the conventional strategies.…”
Get full text

Constraining the timing and processes of pediment formation and dissection: implications for long-term evolution in the Western Cape, South Africa by J. C. Richardson, V. Vanacker, D. M. Hodgson, M. Christl, A. Lang

Get full text

Enhancing Cancer Diagnosis by Ismail Y. Maolood

“…By effectively integrating edge information into the level-set evolution process, the proposed method achieved impressive results. …”
Get full text

Dynamic response of atomic processes in detached helium plasma induced by high-density transient pulse in Magnum-PSI by Yuki Hayashi, Hirohiko Tanaka, Shin Kajita, Noriyasu Ohno, Dogyun Hwangbo, Jordy Vernimmen, John Scholten, Hennie van der Meiden, Ivo Classen, Thomas Morgan

“…Pulsed plasma experiments simulating the transient divertor heat loads caused by edge-localized modes (ELMs) were conducted in Magnum-PSI, a linear plasma device capable of generating ITER-relevant conditions. …”
Get full text

Advancing Neurodegenerative Disease Management: Technical, Ethical, and Regulatory Insights from the NeuroPredict Platform by Marilena Ianculescu, Lidia Băjenaru, Ana-Mihaela Vasilevschi, Maria Gheorghe-Moisii, Cristina-Gabriela Gheorghe

Get full text

Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks by Preeti Yadav, Vinay Rishiwal, Mano Yadav, Aziz Alotaibi, Vinay Maurya, Udit Agarwal, Satyam Sharma

“…This paper examines the role of Transfer Learning in IIoT-N, identifying research gaps and challenges, and highlights its potential across various industrial applications, including predictive maintenance, anomaly detection, edge computing, process optimization, and cross-domain knowledge transfer. …”
Get full text

Structure-Texture Dual Preserving for Remote Sensing Image Super Resolution by Kanghui Zhao, Tao Lu, Yanduo Zhang, Junjun Jiang, Zhongyuan Wang, Zixiang Xiong

“…First, we introduce the LR edge map as a prior structural expression for SR reconstruction, which further enhances the SR process with edge preservation capability. …”
Get full text

Cardiovascular Diseases, Vital Organ Fibrosis, and Chronic Inflammation Associated with High-Intensity and/or High-Volume Exercise Training: Double-Edged Sword Effects of Vigorous... by Pierre A. Guertin

Get full text

Properties of relativistic electron precipitation: a comparative analysis of wave-induced and field line curvature scattering processes by Luisa Capannolo, Andrew Staff, Wen Li, Katharine Duderstadt, Nithin Sivadas, Nithin Sivadas, Joshua Pettit, Joshua Pettit, Sadie Elliot, Murong Qin, Xiao-Chen Shen, Qianli Ma, Qianli Ma

Get full text

Internet of things enabled deep learning monitoring system for realtime performance metrics and athlete feedback in college sports by Yang Hu, Yaxing Li, Benlai Cui, Hao Su, Pan Zhu

“…The system deployed edge computing for real-time local processing and cloud setup for high-complexity analytics, achieving a balance between responsiveness and accuracy. …”
Get full text

Multi video stream collaborative adaptive offloading scheme based on equilibrium game theory by Shijun Yuan

“…Firstly, under the constraint of long-term MEC energy budget, the processing cost of video tasks is minimized by jointly optimizing data stream selection decisions, server offloading decisions, bandwidth resource allocation, and computing resource allocation. …”
Get full text

DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Zhenghai Liu

“…Existing deep learning-based models for anti-UAV detection often cannot balance accuracy, processing speed, model size, and computational efficiency. …”
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

“…The proposed RL-CC protocol significantly reduces transaction abort rates, enhances concurrency management, and improves the efficiency of sensor data processing by ensuring that transactions are executed within their temporal validity window. …”
Get full text

Recent Breakthroughs in PET-CT Multimodality Imaging: Innovations and Clinical Impact by Dildar Hussain, Naseem Abbas, Jawad Khan

Get full text

OPGW fault localization method based on transformer and federated learning by Yan Zhigang, Cui Min, Su Xinyue, Wang Jinrui, Ma Xiao, Wu Lijun

“…A fault localization and analysis method for Optical Power-Grade Ground Wire (OPGW) based on transformer and federated learning (FedL) in a cloud edge collaborative environment is proposed. First, based on the cloud edge collaboration architecture, a model framework for OPGW fault location is designed through the collaboration between the cloud center and edge computing. …”
Get full text

Optimizing Federated Learning on TinyML Devices for Privacy Protection and Energy Efficiency in IoT Networks by William Villegas-Ch, Rommel Gutierrez, Alexandra Maldonado Navarro, Aracely Mera-Navarrete

Get full text

Research and practice on technologies for full stack deployment of autonomous networks by Fei XUE, Bin CHEN, Jing LIU, Xiaoyang LIANG, Lin ZHU, Feng WANG, Tian LI, Liang ZHANG, Zhenzhen CHEN, Xiao LI

“…Autonomous networks achieve network self management, self optimization, and self repair by building intelligent network infrastructure.Autonomous network was divided into two key stages: AI model building and AI model deployment.However, the industry paid less attention to AI model deployment.The deployment phase of autonomous networks was systematically studied.Firstly, it elaborated on the independent deployment mode and full stack deployment mode of autonomous networks, and pointed out that full stack deployment was the main direction.Secondly, a detailed introduction was given to the full stack architecture with “five layers, dual domains, and four closed-loops”, which achieved full life cycle intelligence through a layered closed-loop design of resources and processes.Then, three core technologies for independent innovation were proposed: AI model training and inference integration to achieve rapid iterative updates of models, AI fabric technology to achieve customized application by rapid construction, and AI model cloud-edge collaborative deployment technology to achieve efficient application.Finally, the effectiveness of these three core technologies was verified through cases such as anomaly detection, smart telecommunication rooms, and equipment inspections.The deployment of autonomous networks was systematically explored, especially in terms of architecture design and core technology innovation, which had important reference value for telecommunication operators’ network digital transformation.…”
Get full text

A Micro-Topography Enhancement Method for DEMs: Advancing Geological Hazard Identification by Qiulin He, Xiujun Dong, Haoliang Li, Bo Deng, Jingsong Sima

“…This work bridges signal processing and geospatial analysis, offering a reproducible framework for high-precision terrain feature extraction in complex environments.…”
Get full text