The Application of “Internet+” in the Ageing Adaptation of Elderly People with Disabilities at Home by Huang Juan, Li Li, Mai Jiasong, Zhang Lifang, Huang Baoying

“…Through the practical analysis of home care service providers, the advantages and characteristics of the “Internet” for ageing-in-place services for the disabled elderly are identified, as well as some of the problems that exist in the current intelligent home care service platform. This paper proposes to improve and optimize the “Internet+” by fully enhancing the technical empowerment of the Internet, improving the integration and spanning of space, and giving full play to the role of social work on the Internet. …”
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A dataset of Uniswap daily transaction indices by network by Nir Chemaya, Lin William Cong, Emma Jorgensen, Dingyue Liu, Luyao Zhang

“…Our work provides valuable resources for data scientists and contributes to the growth of the intelligent Web3 ecosystem.…”
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An Optimal Composition Strategy for Knowledge Service Component Based on Flexible Tracking Particle Swarm Algorithm by Yan-chao Yin, Fu-zhao Chen, Wei-zhi Liao, Cui-yin Liu

“…It is urgent to combine knowledge resources with manufacturing business processes to form a knowledge service in the cloud mode, so as to provide intelligent support for business activities in product development process. …”
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Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors by David Camarena-Martinez, Martin Valtierra-Rodriguez, Arturo Garcia-Perez, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso

“…In this work, a novel digital structure to implement the empirical mode decomposition (EMD) for processing nonstationary and nonlinear signals using the full spline-cubic function is presented; besides, it is combined with an adaptive linear network (ADALINE)-based frequency estimator and a feed forward neural network (FFNN)-based classifier to provide an intelligent methodology for the automatic diagnosis during the startup transient of motor faults such as: one and two broken rotor bars, bearing defects, and unbalance. …”
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Human Motion Gesture Recognition Based on Computer Vision by Rui Ma, Zhendong Zhang, Enqing Chen

“…Human motion gesture recognition is the most challenging research direction in the field of computer vision, and it is widely used in human-computer interaction, intelligent monitoring, virtual reality, human behaviour analysis, and other fields. …”
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Research on Spaceborne Neural Network Accelerator and Its Fault Tolerance Design by Yingzhao Shao, Junyi Wang, Xiaodong Han, Yunsong Li, Yaolin Li, Zhanpeng Tao

“…To meet the high-reliability requirements of real-time on-orbit tasks, this paper proposes a fault-tolerant reinforcement design method for spaceborne intelligent processing algorithms based on convolutional neural networks (CNNs). …”
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Autonomous Bus Fleet Control Using Multiagent Reinforcement Learning by Sung-Jung Wang, S. K. Jason Chang

“…Efficient operation of these buses can be achieved by intelligent agents through reinforcement learning. In this study, we investigate the autonomous bus fleet control problem, which appears noisy to the agents owing to random arrivals and incomplete observation of the environment. …”
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Fast Frequency Control Strategy Based on Worst-Case Network Attack Perception by Wentao Xu, Zhenghang Song, Peiyuan Guan

“…This strategy focuses on frequency stability in power systems with a high penetration of renewable energy, and utilizes a reinforcement learning agent to intelligently adjust the power setpoint of voltage source converters (VSCs), ensuring that both the frequency and the rate of change of the frequency remain within permissible limits. …”
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Brain-targeting drug delivery systems: The state of the art in treatment of glioblastoma by Bo Sun, Rong Li, Ning Ji, Han Liu, Hongxiang Wang, Chao Chen, Long Bai, Jiacan Su, Juxiang Chen

“…Furthermore, this review highlights promising future research directions in the development of intelligent drug delivery systems aimed at overcoming current challenges and enhancing therapeutic efficacy against GBM. …”
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Research and application of adaptive algorithm for 5G voice quality evaluation by Yuxiang ZHAO, Yaxin JI, Li YU, Tianyi ZHOU, Hang ZHOU

“…MOS (mean opinion score) is usually used to evaluate voice quality in the industry.It can objectively and fairly reflect the user’s voice service perception.It is difficult and costly to obtain data by road test, so a trained supervised learning model is usually used to predict the MOS score.However, the operator voice data has the characteristics of low percentage of MOS low score data and time sequence change, which affects the accuracy and generalization of the model prediction.Based on the study of existing data acquisition systems and machine learning algorithms of operators, an adaptive algorithm for MOS evaluation of 5G speech quality was proposed.Firstly, POLQA algorithm test equipment based on full parameter evaluation obtained training data to ensure the accuracy of training samples.Secondly, by means of data enhancement, the difficulty of acquiring poor quality samples was solved.Finally, based on the adaptive algorithm selection, the optimal MOS prediction model could be selected periodically and dynamically according to the timing changes of data features, so as to achieve large-scale and intelligent evaluation of 5G voice quality.…”
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A Survey on Addressing IoT Security Issues by Embedding Blockchain Technology Solutions: Review, Attacks, Current Trends, and Applications by Nathalie Tan Yhe Huan, Zuriati Ahmad Zukarnain

“…By 2025, the Internet of Things (IoT) infrastructure is projected to encompass over 75 billion devices, facilitated by the increasing proliferation of intelligent applications. The IoT ecosystem consists of sensors that function as data generators and applications that necessitate financial transactions to compensate the data producers. …”
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Design and application of system with dual-control of water and electricity based on wireless sensor network and video recognition technology by Hejie Chen, Chunxue Wu, Wending Huang, Yan Wu, Naixue Xiong

“…Its requirements are very high, especially the intelligent control of water and electricity. Therefore, a design and application of system with dual-control of water and electricity is proposed and convolutional neural networks–based video recognition technology is used to identify the security issues that occur in the field. …”
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Navigating the Challenges and Opportunities of Securing Internet of Autonomous Vehicles With Lightweight Authentication by Hazem Ismail Ali, Harrison Kurunathan, Mohamed Hamdy Eldefrawy, Flavius Gruian, Magnus Jonsson

“…With its rapid growth over the past decade, it has permeated several application domains, including intelligent vehicular systems. The Internet of Autonomous Vehicles (IoAV) is a subset of IoT that envisions dynamic autonomous driving without human intervention. …”
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Advances in Image Generation Technology: Exploring GANs and MirrorGANs by Shi Lewuqiong

“…Image Generation is the backbone of visual computing, mostly utilized in intelligent designs. It is for this reason that this research aims at unravelling the theoretical basis and consolidated practices of GANs when it conies to generating both high-quality and semantically consistent imagery. …”
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ROLLING BEARING FAULT DIAGNOSIS BASED TWO TYPES OF FEATURES AND AFSA IMPROVED SVM by ZHANG LuYang, QIN Bo, ZHAO WenJun, LI Hong, ZHANG JianQiang, WANG JianGuao

“…However, the non-linear and non-stationary characteristics of vibration signals have not been solved in current methods. In this work, an intelligent fault diagnosis method is proposed, which is a sequential combinations of variational mode decomposition（VMD）, Kurtogram, and artificial fish algorithm（AFSA）. …”
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Selection and Penalty Strategies for Genetic Algorithms Designed to Solve Spatial Forest Planning Problems by Matthew P. Thompson, Jeff D. Hamann, John Sessions

“…We conclude that integrating intelligent search strategies into the context of genetic algorithms can yield improvements and should be investigated for future use in spatial planning with ecological goals.…”
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Analysis of Concrete Dam Deformation Prediction Based on the ResNet-GRU-SGWO Model by Ning Ma, Xiubo Niu, Xunhui Chen, Wenxiu Wei, Ye Zhang, Xinyu Kang, Wen Zhong, Jing Wu

“…Compared with various intelligent prediction models, it achieves the highest prediction accuracy and outstanding performance, providing a reference for the prediction of concrete dam deformation.…”
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Fault Diagnosis of Power Transformers With Membership Degree by Enwen Li, Linong Wang, Bin Song

“…Though a high correct rate is reported with intelligent methods as artificial neural network, support vector machine, and so on, these methods are usually too complicated to be implemented practically on a wide range. …”
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Nonlinear Control of an Active Magnetic Bearing System Achieved Using a Fuzzy Control with Radial Basis Function Neural Network by Seng-Chi Chen, Van-Sum Nguyen, Dinh-Kha Le, Nguyen Thi Hoai Nam

“…This paper proposes an intelligent control method for positioning an AMB system that uses a neural fuzzy controller (NFC). …”
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Full Diacritization of the Arabic Text to Improve Screen Readers for the Visually Impaired by Batool Abuali, Mohamad-Bassam Kurdy

“…The quality of our proposed system was measured in terms of (1) pronunciation and (2) intelligibility, in which our system outperformed the commercial screen readers, NVDA and IBSAR (https://www.sakhr.com), as it recorded 60.67%, 17.67%, and 21.67% as correct, incorrect, and partially correct, respectively, for the isolated word test, and 84% correct results for the homograph test, and 78.50% and 93% correct results, respectively, for the DRT and DMRT tests.…”
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