Evaluation Model of Low-Carbon Circular Economy Coupling Development in Forest Area Based on Radial Basis Neural Network by Chang Liu

“…After an in-depth analysis of the particle swarm algorithm, an improved particle swarm algorithm is proposed to improve the search accuracy and capability of the algorithm by nonlinearly adjusting the inertia weights and introducing the average extreme value factor, in response to the problems of premature convergence and poor search capability that appear in the particle swarm algorithm. …”
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A Novel Iterative-SLM Algorithm for PAPR Reduction in 5G Mobile Fronthaul Architecture by Mohammed I. Al-Rayif, Hussein Seleem, Amr Ragheb, Saleh Alshebeili

“…To overcome this problem, we propose a novel PAPR reduction technique in the transmitter DSP of a fiber mobile fronthaul network, named as iterative selective mapping (I-SLM). …”
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Special Needs in Substance Use Treatment for Women Who Use Drugs: Social and Mental Health Factors by Antonio Jesús Molina-Fernández, Jesús Saiz-Galdos, Irene María Arribas-Tiemblo, Gisela Hansen-Rodríguez, Iván Sánchez-Iglesias, Elena Ayllón-Alonso, Banesa Mena-García

“…Conclusion: There appears to be a need to develop a comprehensive treatment network for addictive behaviors from a multifactorial perspective, including harm reduction, psychosocial support, and recovery programs; furthermore, targeting specific groups with special needs, such as women, especially those with mental health problems, women with alcoholism, and abused women, it also seems important to develop adaptive recovery programs within addictive behavior treatment networks.…”
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Efficient resource allocation for D2D-enabled social IoT networks: A tripartite and time-scale optimization approach by Saurabh Chandra, Rajeev Arya, Maheshwari Prasad Singh

“…In this paper, we formulate the problem of sum throughput maximization as a Mixed Integer Non-Linear Programming (MINLP) problem. …”
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Enhancing Real-Time Simulation of the Complexity Natural Gas Pipeline Network Through MLP-Newton Algorithm for High Precision and Reliability by Hankai Zhai, Xinming Song, Xiaoli Wang, Wentao Cui, Yeru Chen, Shuai Wang

“…Aiming at the challenge of high-precision and high-reliability simulation of urban medium- and high-pressure natural gas pipeline networks, the model establishment is analyzed in detail, solution algorithm and optimization process in gas pipeline network simulation, and designs a modeling and solution method that is easy to analyze and implement to solve the complexity problem of existing natural gas pipeline network simulation algorithms. …”
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Optimal H.264 Scalable Video Scheduling Policies for 3G/4G Wireless Cellular and Video Sensor Networks by Vamseedhar R. Reddyvari, Aditya K. Jagannatham

“…We consider the problem of optimal H.264 scalable video scheduling, with an objective of maximizing the end-user video quality while ensuring fairness in 3G/4G broadband wireless networks and video sensor networks. …”
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Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things by Meixia Fu, Jiansheng Wu, Qu Wang, Lei Sun, Zhangchao Ma, Chaoyi Zhang, Wanqing Guan, Wei Li, Na Chen, Danshi Wang, Jianquan Wang

“…However, many typical convolutional neural networks‐based methods are insensitive to the problem of unclear boundaries. …”
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Forward geometric model prediction of a 6-RSU parallel manipulator using a modified NARX Bayesian neural network by Alaa Aldeen Joumah, Assef Jafar, Chadi Albitar

“…At a 95 % confidence level, NARX-BNN reduces the RMSE of predicted values by up to 11 % and reduces the Average Width indicator of the prediction interval by approximately 12.7 % compared to traditional BNN.This study underscores the potential of NARX Bayesian Neural Networks in enhancing accuracy, reducing uncertainty, and bolstering the reliability of machine learning models for robotic applications, particularly in predicting the FGM of parallel manipulators. …”
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A novel device-free Wi-Fi indoor localization using a convolutional neural network based on residual attention by Mashael Maashi, Alanoud Al Mazroa, Shoayee Dlaim Alotaibi, Asma Alshuhail, Muhammad Kashif Saeed, Ahmed S. Salama

“…Usually, these systems comprise two primary components: a positioning network and a tracking system. The positioning network is responsible for learning the planning from high-dimensional CSI to physical positions, and the following system uses historical CSI to decrease positioning error. …”
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Stabilized Multi-Hop Route Construction Using a Modified Link Metric for Wi-SUN FAN Systems by Ryuichi Nagao, Daiki Hotta, Hiroko Masaki, Keiichi Mizutani, Hiroshi Harada

“…Wireless Smart Utility Network Field Area Network (Wi-SUN FAN) is a technical specification of Wi-SUN that introduces multi-hop machine-to-machine transmission for advanced smart city infrastructure. …”
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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction by Arulmozhi P, Gopi R

“…This study presents a deep adaptive attention network (DAAN) for CBIR that combines multi-scale feature extraction and hybrid neural architectures to solve these problems and improve the speed and accuracy of visual retrieval. …”
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Implementation Of Deep Learning Using Convolutional Neural Network Method In A Rupiah Banknote Detection System For Those With Low Vision by Dinul Akhiyar, Tukino Tukino, Sarjon Defit

“…The application of deep learning in various sectors continues to grow due to its ability to provide efficient and effective solutions to complex problems. One significant implementation is in object detection, such as identifying Indonesian rupiah banknotes. …”
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Utilization of in- and outpatient hospital care in Germany during the Covid-19 pandemic insights from the German-wide Helios hospital network. by Andreas Bollmann, Sven Hohenstein, Vincent Pellissier, Katharina Stengler, Peter Reichardt, Jörg-Peter Ritz, Holger Thiele, Michael A Borger, Gerhard Hindricks, Andreas Meier-Hellmann, Ralf Kuhlen

“…While this study provides an up-to-date analysis of utilization of hospital care in the largest German hospital network, short- and long-term consequences are unknown and deserve further studies.…”
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CLTNet: A Hybrid Deep Learning Model for Motor Imagery Classification by He Gu, Tingwei Chen, Xiao Ma, Mengyuan Zhang, Yan Sun, Jian Zhao

“…Methods: To address this challenge, this study proposes a novel hybrid deep learning model, CLTNet, which focuses on solving the feature extraction problem to improve the classification of MI-EEG signals. …”
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Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals by Chuang Lin, Qiong Xiao, Penghui Zhao

“…To overcome these problems, we propose a smooth Multi-scale Attention Patching Encoder Network (sMAPEN). …”
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Research on the Optimization of TP2 Copper Tube Drawing Process Parameters Based on Particle Swarm Algorithm and Radial Basis Neural Network by Fengli Yue, Zhuo Sha, Hongyun Sun, Dayong Chen, Jinsong Liu

“…To address the problem of the large number of finite element model meshes and low solution efficiency, the wall thickness uniformity was predicted using a radial basis function (RBF) neural network, and parameter optimization was performed using the particle swarm optimization (PSO) algorithm. …”
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Robust topology construction method with radio interface constraint for multi-radio multi-channel wireless mesh network using directional antennas by Xuecai Bao, Longzhe Han, Chengzhi Deng, Hai Zhang, Wenqun Tan

“…Multi-radio and multi-channel wireless mesh networks using directional antenna (MR-MC DWMN) greatly improve the spatial reuse of wireless channels and increase network capacity. …”
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Joint Resource Allocation and Power Control in Rate-Splitting Multiple Access-Based Integrated Terrestrial and Non-Terrestrial Networks With HAP Assistance by Thong-Nhat Tran, Young Jeon, Heejung Yu, Taejoon Kim

“…This paper proposes a novel network architecture integrating a non-terrestrial network (NTN) with low-earth orbit (LEO) satellites and high-altitude platforms (HAPs) and terrestrial network (TN) with ground base stations under rate-splitting multiple access (RSMA) to enhance spectral efficiency (SE). …”
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Hybrid machine learning techniques for knowledge extraction in communication networks and advanced decision based complex q-Rung orthopair fuzzy frameworks by Hushuang Zeng, Yonghua Zhang

“…Abstract Hybrid machine learning techniques for knowledge extraction in communication networks combine the strengths of multiple learning algorithms to analyze complex, high-dimensional, and dynamic network data effectively. …”
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Traffic Equilibrium for Mixed Traffic Flows of Human-Driven Vehicles and Connected and Autonomous Vehicles in Transportation Networks under Tradable Credit Scheme by Fang Zhang, Jian Lu, Xiaojian Hu

“…A modified Lagrangian dual (MLD) method embedded with a revised Smith’s route-swapping (RSRS) algorithm is proposed to solve the problems. Based on the numerical analysis, the impacts of CAV penetration and the extra expense of using a CAV on network performance are investigated. …”
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