Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach by Di Zhang, Yuting Dong, Yao Xu, Junhui Qian, Miaoyu Ye, Qiang Yuan, Jian Luo

“…Dense connections also facilitate deeper network architecture and mitigate gradient vanishing problems. …”
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CFD based neural network model framework for mixed convection in a lid-driven cavity with conductive cylinder by Md Muhtasim Fardin, Md Sadman Hossain, Mohammad Nasim Hasan

“…The current study investigates the application of an Artificial Neural Network (ANN) model to analyze and predict mixed convection heat transfer within a 2-dimensional square cavity with a conductive cylinder at the centre. …”
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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

“…The inherent characteristics of unbalanced three-phase distribution networks can have negative technical and financial effects. …”
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Load-Balanced Dynamic SFC Migration Based on Resource Demand Prediction by Tian Sun, Hefei Hu, Sirui Zhang

“…However, one important problem that has not been addressed in prior studies is how to manage network load while maintaining service-level agreements for time-varying resource demands. …”
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An arbitrary segmentation method for loss allocation in power grids with distributed generation by Wenqiang Tao, Hongkun Chen, Lei Chen, Shengbin Chen

“…Initially, a theoretical approach for calculating network loss improvement in power grids with distributed generations is proposed, utilizing bus voltage equations and the PQ-PV subnetwork disassembly method to mitigate the impact of bidirectional power flow problem. …”
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Research on Highly Dynamic Node BLE Mesh Routing Strategy based on Limited Flooding by WU Xihang, HUANG Zhuo, LUO Senlin, WANG Fengxiang

“…To address this problem, this paper utilizes the networking principles of Fruitymesh and proposes a limited flooding-based routing strategy suitable for highly dynamic node scenarios.…”
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Enhancing Information Freshness and Energy Efficiency in D2D Networks Through DRL-Based Scheduling and Resource Management by Parisa Parhizgar, Mehdi Mahdavi, Mohammad Reza Ahmadzadeh, Melike Erol-Kantarci

“…To preserve information freshness, measured by minimizing the average age of information (AoI), and to effectively utilize energy harvesting (EH) technology to satisfy the network's energy needs, we formulate an online optimization problem. …”
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On Joint Sub-channel Allocation, Duplexing Mode Selection, and Power Control in Full-Duplex Co-Channel Femtocell Networks by M. Rasti, Sh. Kazemi Taskou

“…In particular, aiming to maximize the number of admitted FUs in the network and satisfying the target rate for FUs, we jointly study the problem of sub-channel allocation, duplexing-mode selection, and power control for FUs in both uplink (UL) and downlink (DL) transmissions. …”
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Designing an Urban Air Mobility Corridor Network: A Multi-Objective Optimization Approach Using U-NSGA-III by Zhiyuan Zhang, Yuan Zheng, Chenglong Li, Bo Jiang, Yichao Li

“…Finally, based on this encoding scheme, we solve the corridor network problem using the unified non-dominated sorting genetic algorithm III (U-NSGA-III). …”
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Optimization of Tank Cleaning Station Locations and Task Assignments in Inland Waterway Networks: A Multi-Period MIP Approach by Yanmeng Tao, Ying Yang, Haoran Li, Shuaian Wang

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Research on 2F Optical Correlator Based on Neural Network Filter for Recognizing Large-Angle Rotation Distortion Target by Tuo Yang, Minxin Chen, Yufei Xiao, Haidong Xu, Ping Xu

“…It is difficult for optical correlator to recognize the target with large rotation distortion by using existing filters. To solve this problem, a new neural network model is constructed based on the physical recognition process of planar integrated 2F optical correlator. …”
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Multi-objective optimization framework for electric vehicle charging and discharging scheduling in distribution networks using the red deer algorithm by Sahbi Boubaker, Habib Kraiem, Nejib Ghazouani, Souad Kamel, Adel Mellit, Faisal S. Alsubaei, Farid Bourennani, Walid Meskine, Tariq Alqubaysi

“…Simulation results demonstrated that the EV schedule management method significantly reduces average EV load demand without overloading the distribution network’s power flow, while maintaining an improved voltage profile. …”
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Gossip Consensus Algorithm Based on Time-Varying Influence Factors and Weakly Connected Graph for Opinion Evolution in Social Networks by Lingyun Li, Jie Zhou, Demin Li, Jinde Cao, Xiaolu Zhang

“…We provide a new gossip algorithm to investigate the problem of opinion consensus with the time-varying influence factors and weakly connected graph among multiple agents. …”
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STUDY THE EFFECTIVENESS APPLICATIONS OF FUZZY CONTROLLER WITH TWO ENTRANCES IN THE SYSTEM OF ACTIVE QUEUE MANAGEMENT THE PACKETS IN TCP/IP NETWORKS by O. V. Nevdachyna, A. P. Polonevych, A. S. Artyuschyk

“…The paper presents an approach to solving the overloading problem in TCP/IP networks. Offered fuzzy controller with two inputs for system of active queue management packages in TCP/IP networks, and investigated its use in these systems with a random change of traffic load. …”
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Efficient Resource Allocation and UAV Deployment in STAR-RIS and UAV-Relay Assisted Public Safety Networks for Video Transmission by Naveed Khan, Ayaz Ahmad, Abdulmalik Alwarafy, Munam Ali Shah, Abderrahmane Lakas, Muhammad Moazam Azeem

“…The formulated optimization problem is non-convex, posing a challenge in solving it. …”
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Improving Transmission in Integrated Unmanned Aerial Vehicle–Intelligent Connected Vehicle Networks with Selfish Nodes Using Opportunistic Approaches by Meixin Ye, Zhenfeng Zhou, Lijun Zhu, Fanghui Huang, Tao Li, Dawei Wang, Yi Jin, Yixin He

“…Since VDTNs exhibit social attributes, this paper first investigates the opportunistic transmission problem in the presence of selfish nodes. Then, by enabling node cooperation, this paper proposes an opportunistic transmission scheme for integrated UAV–ICV networks. …”
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Real-Time Encrypted Traffic Classification with Deep Learning by Onur Demir, Deniz Tuana Ergönül

“…Hence, traffic classification on a network became increasingly difficult as it must rely on only the packet headers. …”
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A joint optimization of energy harvesting and spectrum sensing for wireless sensor networks under Middleton Class A noise by Enwei Xu, Shuo Shi, Dawei Chen, Xuemai Gu

“…In this article, we incorporate the two technologies of cognitive radio and energy harvesting to solve the above problems of wireless sensor networks under impulsive noise. …”
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Operation Polypharmacy: a pharmacist-led ambulatory care clinic design and evaluation for older patients by Nicha Tantipinichwong, Michelle S. Keller

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An ensemble approach using multidimensional convolutional neural networks in wavelet domain for schizophrenia classification from sMRI data by Tamilarasi Sarveswaran, Vijayarajan Rajangam

“…Abstract Schizophrenia is a complicated mental condition marked by disruptions in thought processes, perceptions, and emotional responses, which can cause severe impairment in everyday functioning. sMRI is a non-invasive neuroimaging technology that visualizes the brain’s structure while providing precise information on its anatomy and potential problems. This paper investigates the role of multidimensional Convolutional Neural Network (CNN) architectures: 1D-CNN, 2D-CNN and 3D-CNN, using the DWT subbands of sMRI data. 1D-CNN involves energy features extracted from the CD subband of sMRI data. …”
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