A Review on Transformer-Based Methods for Human Activity Recognition by Fatemeh Sadat Lasani, Ronak Fatahi

“…With the expansion of smart homes, Human Activity Recognition (HAR) has become a key challenge in artificial intelligence, enhancing not only the comfort and safety of residents but also contributing to the development of applications such as healthcare and smart surveillance. …”
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Multilevel Database Security for Android Using Fast Encryption Methods by Najla AI Dabagh, Mahmood S. Mahmood

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Blockchain modeled swarm optimized lyapunov smart contract deep reinforced secure tasks offloading in smart home by Preethi, Mohammed Mujeer Ulla, Sapna R, Raghavendra M Devadas

“…To address these gaps in this, work a QoS-improved method called, Blockchain-modeled Swarm Optimized Lyapunov Smart Contract Deep Reinforced Tasks Offloading (BSOLSC-DRTO) in smart home is proposed. …”
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Applied aspects of modern non-blind image deconvolution methods by O.B. Chaganova, A.S. Grigoryev, D.P. Nikolaev, I.P. Nikolaev

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A mixed method approach to integrate digitization and sustainability on German farms by Julius Brinken, Sebastian Trojahn, Fabian Behrendt

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The pig pose recognition method based on pig body semantic segmentation by Nuonan Huang, Deli Zhu, Liang He, Yi Li

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Improved lightweight health identification method for plug seedling based on FPGA by Yatao Li, Jiahang Jiang, Junlang Ou, Junhua Tong, Yufei Lin, Jintao Cao

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Why Do Field-Based Methods Fail to Model Plasmonics? by A. M. A. Said, A. M. Heikal, Nihal F. F. Areed, S. S. A. Obayya

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Particle Movement in DEM Models and Artificial Neural Network for Validation by Using Contrast Points by Barbora Černilová, Jiří Kuře, Rostislav Chotěborský, Miloslav Linda

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Research on timing method of prepayment meter based on edge computing by Li Jiangchao, Wang Wenqiang, Li Peng, Yuan Yanfang, Xue Binbin, Yang Kewen

“…With the construction of the power IoT and the increasing popularity of smart meters, solving the problem of abnormal clock of meters and correcting the clock deviation of meters has become an increasingly important task for power companies. …”
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User filtering based campus WLAN user clustering method by Yi-hong QIU, Ting-juan YAO, Feng-lin QIN, Lian-sheng GE

“…With the widespread of smart terminals such as smart phones and smart pads,using MAC address as user identification in campus wireless local area network (WLAN) user clustering research cannot exactly represent user behavior.An user filtering based user clustering is proposed.This method filters users’ behavior data by their degree of activeness,and then further conducts clustering analysis of campus WLAN user behavior.The experimental result verifies the effectiveness of the proposed method.…”
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Distance Measurement for the Indoor WSN Nodes Using WTR Method by Zheng Zhang, Junxiao Zhu, Jiabiao Ruan, Gangbing Song

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AI-based model for Prediction of Power consumption in smart grid-smart way towards smart city using blockchain technology by Emran Aljarrah

“…A smart grid (SG) is the financial benefit of a complicated and smart power system that can keep up with rising demand. …”
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Auto-Probabilistic Mining Method for Siamese Neural Network Training by Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov

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A detection method of Android system vulnerabilities based on matching by iayuan ZHANGJ

“…Android system has occupied the majority share of smart mobile operating systems.However,Android system has worrying security issues.It frequently bursts high-risk vulnerabilities in recent years,which is a big security risk to the majority of Android users.Android system vulnerabilities were studied,and a rapid detection method of Android system vulnerabilities based on matching was proposed.A script-based vulnerability scanning tool was also designed.Through the evaluation of experiments,the tool is running well.…”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…In this challenging context, innovative algorithms and model designs are crucial for addressing differences in CSI features between various actions and enhancing the model’s generalization ability and robustness.Method This study explores human actions’ physical and MIMO transmission characteristics, proposing a deep learning-based human action recognition method that employs a dual attention mechanism and a multi-channel, multi-scale fusion temporal convolution network to address the above challenges. …”
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Distributed Cooperative Backpressure-Based Traffic Light Control Method by Shenxue Hao, Licai Yang, Li Ding, Yajuan Guo

“…On the foundation of the original backpressure-based traffic light control algorithm, a distributed cooperative backpressure-based traffic light control method is proposed in this paper. The urban traffic network is modeled as a smart agent-controlled queuing network, in which the intersection agents exchange the queue length information and the selected activating light phase information of neighboring intersections through communications and determine the activating light phase at each time slot according to local traffic information. …”
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Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method by Xusheng Wang, Kun Liu, Hongbo Liu, Yuhan He

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Ripe-Detection: A Lightweight Method for Strawberry Ripeness Detection by Helong Yu, Cheng Qian, Zhenyang Chen, Jing Chen, Yuxin Zhao

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Optimized Airspace Structures and Sequencing Method for Urban Logistics Droneport by Yuan Zheng, Die Li, Zhou Shen, Chenglong Li, Zhaoxuan Zhang

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