A Statistical Analysis Based Probabilistic Routing for Resource-Constrained Delay Tolerant Networks by Jixing Xu, Jianbo Li, Shan Jiang, Chenqu Dai, Lei You

“…The nonexistence of end-to-end path between the sender and the receiver poses great challenges to the successful message transmission in delay tolerant networks. Probabilistic routing provides an efficient scheme to route messages, but most existing probabilistic routing protocols do not consider whether a message has enough time-to-live to reach its destination. …”
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Synergistic Integration of Edge Computing and 6G Networks for Real-Time IoT Applications by Ahmed M. Alwakeel

“…This research addresses these challenges by integrating edge computing with emerging 6G networks, proposing the ARMO (Adaptive Resource Management and Offloading) model. …”
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Evaluating energy efficiency in Turkish electric distribution using network DEA and GA models by Serpil Aydin, Talat Şenel

“…Then, the efficiency of electricity distribution companies is evaluated using network DEA by considering the sub-processes of electricity distribution companies, which consist of generation, transmission, and distribution. …”
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To associate or not to associate? A user-based threshold scheme for 5G and beyond networks by Naor Zohar

“…Simulation results demonstrated that the suggested UA scheme can potentially reduce the required network bandwidth resources by up to 25%and significantly reduce the service blocking probability and the average waiting time for service.…”
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AMCCR: Adaptive Multi-QoS Cross-Layer Cooperative Routing in Ad Hoc Networks by Mahadev A. Gawas, Lucy J. Gudino, K. R. Anupama

“…The results clearly show that the proposed cooperative cross-layer design approach significantly improves the average delay, throughput, and network lifetime of the system.…”
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A Dynamic Load Modulation Power Amplifier with Ferroelectric-Based Tunable Matching Network by Pavel Turalchuk, Irina Filipiuk, Bayazet Iskakov

“…This paper presents simulation and measurement results for a dynamic load modulation power amplifier based on a ferroelectric tunable matching network to operate at 2.5 GHz. Experimental studies on a power amplifier with the tunable output matching network confirm its performance at 8 dB back-off while varying the control voltage applied to the ferroelectric element. …”
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Adaptive Multitask Neural Network for High-Fidelity Wake Flow Modeling of Wind Farms by Dichang Zhang, Christian Santoni, Zexia Zhang, Dimitris Samaras, Ali Khosronejad

“…Recently, data-driven neural networks have emerged as a promising solution, offering both high fidelity and fast inference speeds. …”
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Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network by Shuxiao Zhang, Gaolong Lv, Shifeng Guo, Yanhui Zhang, Wei Feng

“…In this study, the ultrasonic technique and the artificial neural network optimized with the genetic algorithm (GA_BPNN) are combined to develop an intelligent method for automatic detection and accurate prediction of TBCs’s porosity. …”
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Research on deep learning-based fracture network inversion method for shale gas reservoirs by CHEN Weiming, JIANG Lin, LUO Tongtong, LI Yue, WANG Jianhua

“…The model was trained and optimized using 450 fracturing curve segments from shale gas wells in western Chongqing, with the average relative error of fracture network parameter inversion results in the test set being below 15%, which verified the feasibility of this new method for inversion of shale gas reservoir fracture networks.…”
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Image Super Resolution Reconstruction Based on Multi-Level Residual Skip Connection Network by WANG Xiaoyu, LU Jianyu, WEI Yuxin, YU Yue

“…Compared with other commonly used super-resolution algorithms, this algorithm can better retain texture details during image reconstruction, resulting in clearer image details, better visual effects and effective reduction of the number of parameters in the network. In terms of objective evaluation indicators, the average value of PSNR and SSIM increased by 0. 503dB and 0. 0076 respectively compared with the original SRGAN.…”
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A Hierarchical Dispatcher for Scheduling Multiple Deep Neural Networks (DNNs) on Edge Devices by Hyung Kook Jun, Taeho Kim, Sang Cheol Kim, Young Ik Eom

“…This paper presents a hierarchical dispatcher architecture designed to efficiently schedule the execution of multiple deep neural networks (DNNs) on edge devices with heterogeneous processing units (PUs). …”
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Detection of Apple Leaf Gray Spot Disease Based on Improved YOLOv8 Network by Siyi Zhou, Wenjie Yin, Yinghao He, Xu Kan, Xin Li

“…The experimental results show that the enhanced model outperforms the original YOLOv8 network in detecting Gray Leaf Spot. Notably, when the Intersection over Union (IoU) is 0.5, an improvement of 7.92% in average precision is observed. …”
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Characteristics of Orbit Determination with Short-Arc Observation by an Optical Tracking Network, OWL-Net by Jin Choi, Jung Hyun Jo, Kyung-Min Roh, Hong-Suh Yim, Eun-Jung Choi, Sungki Cho

“…An optical tracking network, the Optical Wide-field patroL Network (OWL-Net), has been developed to maintain the orbital ephemeris of 11 domestic low Earth orbit satellites. …”
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Impact of Electric Vehicles on Traffic Assignment and Carbon Emission for Road Network: Modeling and Analysis by Zhaolei Zhang, Wei Hao, Ye Gong, Wei Wu, Ying Chen, Shuibo Lu

“…A carbon-emission estimation method is then developed, which is calculated by three parameters of traffic volume, average speed, and the road category. A case study is carried out using two networks. …”
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Automatic Adjustment Method of Operating Parameters in Laser Cleaning Process Based on Image Processing by Anjun Yu, Hao Cao, Yonghua Xiong, Jinhua She

“…The method first extracts the corrosion image features of the metal and then establishes a parameter prediction model based on the Particle Swarm Optimization-Back Propagation(PSO-BP) neural network. …”
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Hybrid and Multi-Hop Advanced Zonal-Stable Election Protocol for Wireless Sensor Networks by Fakhri Alam Khan, Majid Khan, Muhammad Asif, Afsheen Khalid, Inam Ul Haq

“…The simulation results show that our proposed protocol increases the stability period by increasing the number of alive nodes, packet delivery ratio, and optimizes average energy consumption as related to the existing protocols.…”
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A Latency-Aware and Resource-Efficient Content Caching Scheme for Content-Centric Networks by Yasar Khan, Rao Naveed Bin Rais, Osman Khalid, Imran Ali Khan

“…CCN decouples content from location using persistent names and leverages in-network caching to improve delivery efficiency. However, existing caching strategies often optimize isolated metrics like hit ratio, leading to suboptimal performance in latency or resource usage, employ inefficient eviction policies like Least Recently Used (LRU)/Least Frequently Used (LFU) unsuitable for dynamic content, or create excessive redundancy. …”
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Enhanced-Dueling Deep Q-Network for Trustworthy Physical Security of Electric Power Substations by Nawaraj Kumar Mahato, Junfeng Yang, Jiaxuan Yang, Gangjun Gong, Jianhong Hao, Jing Sun, Jinlu Liu

“…This paper introduces an Enhanced-Dueling Deep Q-Network (EDDQN) specifically designed to bolster the physical security of electric power substations. …”
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Multi-Scale Residual Convolutional Neural Network with Hybrid Attention for Bearing Fault Detection by Yanping Zhu, Wenlong Chen, Sen Yan, Jianqiang Zhang, Chenyang Zhu, Fang Wang, Qi Chen

“…The multi-scale residual network structure captures features at various scales, and fault classification is performed using global average and max pooling. …”
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Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images by Rashid Abbasi, Farhan Amin, Amerah Alabrah, Gyu Sang Choi, Salabat Khan, Md. Belal Bin Heyat, Muhammad Shahid Iqbal, Huiling Chen

“…Thus, in order to solve this issue, herein, we proposed an adaptive enhancement-based Deep Convolutional Neural Network (DCNN) model for diabetic retinopathy (DR). …”
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