From polymer matrix to cell structure: STG/TEMs/PU energy-absorbing foamed composites with strain rate-dependent and bimodal cellular structure by Xiaoke Liu, Kejing Yu, Pengwan Chen

“…In this study, based on polyurethane (PU) foam material, intelligent macromolecular material “shear thickening gel (STG)” with strain rate-dependent characteristic was chosen as the reinforcing material to strengthen the PU matrix, and water together with thermal expansion microspheres (TEMs) were used as double foaming agents to prepare STG/TEMs/PU foamed composites with bimodal cell structure and excellent mechanical properties. …”
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Vehicle Movement Analyses Considering Altitude Based on Modified Digital Elevation Model and Spherical Bilinear Interpolation Model: Evidence from GPS-Equipped Taxi Data in Sanya,... by Jiawei Gui, Qunqi Wu

“…To unlock the potential of automatic vehicles in intelligent transportation systems, a lot more data and testing are required to promote safety level as far as possible and achieve the organizational aim of reducing accidents to zero tolerance. …”
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Vehicle speed measurement method using monocular cameras by Hao Lian, Meian Li, Ting Li, Yongan Zhang, Yanyu Shi, Yikun Fan, Wenqian Yang, Huilin Jiang, Peng Zhou, Haibo Wu

“…Therefore, this research outcome is expected to play an important role in intelligent transportation systems and road safety management.…”
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Deep Reinforcement Learning-Based Speed Predictor for Distributionally Robust Eco-Driving by Rajan Chaudhary, Nalin Kumar Sharma, Rahul Kala, Sri Niwas Singh

“…Validated through case studies across simulated and real-world driving cycles, the solution is scalable, computationally efficient, and suitable for real-time applications in Intelligent Transportation Systems (ITS), making it a viable approach for enhancing sustainability in non-communicating vehicle environments.…”
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Changes in Vowel Articulation with Subthalamic Nucleus Deep Brain Stimulation in Dysarthric Speakers with Parkinson’s Disease by Vincent Martel Sauvageau, Joël Macoir, Mélanie Langlois, Michel Prud’Homme, Léo Cantin, Johanna-Pascale Roy

“…However, the impact on overall speech intelligibility may still be small. Clinical considerations are discussed and new research avenues are suggested.…”
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Design and verification of the onboard 6G core network architecture and network functions by WANG Shangguang, WANG Chao, MA Xiao, XING Ruolin, ZHOU Ao

“…In view of the urgent need of 6G core networks deployment， the system architecture of the onboard 6G core network was designed, including distributed architecture, offline autonomy, intelligent network elements and so on. The network elements of the onboard 6G core network were optimized, including access and mobility management, session management, distributed service registration and discovery, etc. …”
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A Review on Current Aspects of Curcumin-Based Effects in Relation to Neurodegenerative, Neuroinflammatory and Cerebrovascular Diseases by Claudia-Andreea Moldoveanu, Maria Tomoaia-Cotisel, Alexandra Sevastre-Berghian, Gheorghe Tomoaia, Aurora Mocanu, Csaba Pal-Racz, Vlad-Alexandru Toma, Ioana Roman, Madalina-Anca Ujica, Lucian-Cristian Pop

“…Current challenges in curcumin’s applications revolve around its effects within neoplastic tissues alongside the development of intelligent formulations to enhance its bioavailability. …”
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Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction by Ariyo Oluwasanmi, Muhammad Umar Aftab, Zhiguang Qin, Muhammad Shahzad Sarfraz, Yang Yu, Hafiz Tayyab Rauf

“…Intelligent transportation systems (ITSs) have become an indispensable component of modern global technological development, as they play a massive role in the accurate statistical estimation of vehicles or individuals commuting to a particular transportation facility at a given time. …”
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Coordination Control of Active Steering and Direct Yaw Control for the Articulated Steering Vehicle by Bin Huang, Zhijun Yuan, Dengzhi Peng, Xiaoxu Wei, Yongsheng Wang

“…It is also a crucial factor for the path-tracking ability of the vehicle in the intelligent transportation system (ITS). Most of the research focuses on vehicles with an Ackerman steering system. …”
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Research and application of visual synchronous positioning and mapping technology assisted by ultra wideband positioning technology by Yiran Zhang, Lina Dong

“…With the development of the intelligent era, improving the positioning accuracy and operational stability of robots has become an urgent problem that needs to be solved. …”
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Modeling and Analysis on Minimum Safe Distance for Platooning Vehicles Based on Field Test of Communication Delay by Mengyan Hu, Xiangmo Zhao, Fei Hui, Bin Tian, Zhigang Xu, Xinrui Zhang

“…Vehicle platooning is a perspective technique for intelligent transportation systems (ITS). Connected and automated vehicles (CAVs) use dedicated short-range communication (DSRC) to form a convoy, in which the following vehicles can receive the information from their preceding vehicles to achieve safe automated driving and maintain a short headway. …”
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Optimal Robust Time-Domain Feature-Based Bearing Fault and Stator Fault Diagnosis by G. Geetha, P. Geethanjali

“…In machine learning, the extraction of features is necessary for intelligent motor fault diagnosis. In industrial applications, it is necessary to identify the optimal number of features to differentiate various types of fault characteristics with less computational complexity and cost. …”
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A novel MAC protocol for power line communication with integrated NFC for smart home applications by G. Haridoss, J. Arun Pandian, K. Sivaranjani, L. Thanga Mariappan

“…Finally, the security-enhanced PLC network is integrated with Near Field Communication (NFC) technology for intelligent home applications.…”
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Spot Price Prediction of Resources in Cloud Computing by Proposing a New Structure in Deep Learning Method Considering the Level of QOS by Seyed soroush Nezamdoust, Mohammad Ali Pourmina, Farbod Razzazi

“…Forecasting such dynamic time series that follow the nonlinear model requires intelligent tools such as neural networks to be able to predict the future values with the least error by observing the values of a time series. …”
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Large-scale post-disaster user distributed coverage optimization based on multi-agent reinforcement learning by Wenjun XU, Silei WU, Fengyu WANG, Lan LIN, Guojun LI, Zhi ZHANG

“…In order to quickly restore emergency communication services for large-scale post-disaster users, a distributed intellicise coverage optimization architecture based on multi-agent reinforcement learning (RL) was proposed, which could address the significant differences and dynamics of communication services caused by a large number of access users, and the difficulty of expansion caused by centralized algorithms.Specifically, a distributed k-sums clustering algorithm considering service differences of users was designed in the network characterization layer, which could make each unmanned aerial vehicle base station (UAV-BS) adjust the local networking natively and simply, and obtain states of cluster center for multi-agent RL.In the trajectory control layer, multi-agent soft actor critic (MASAC) with distributed-training-distributed-execution structure was designed for UAV-BS to control trajectory as intelligent nodes.Furthermore, ensemble learning and curriculum learning were integrated to improve the stability and convergence speed of training process.The simulation results show that the proposed distributed k-sums algorithm is superior to the k-means in terms of average load efficiency and clustering balance, and MASAC based trajectory control algorithm can effectively reduce communication interruptions and improve the spectrum efficiency, which outperforms the existing RL algorithms.…”
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Research on Cam–Kalm Automatic Tracking Technology of Low, Slow, and Small Target Based on Gm-APD LiDAR by Dongfang Guo, Yanchen Qu, Xin Zhou, Jianfeng Sun, Shengwen Yin, Jie Lu, Feng Liu

“…With the wide application of UAVs in modern intelligent warfare as well as in civil fields, the demand for C-UAS technology is increasingly urgent. …”
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Phase, Microstructure, Thermochromic, and Thermophysical Analyses of Hydrothermally Synthesized W-Doped VO2 Nanopowder by Hamdi Muhyuddin Barra, Soo Kien Chen, Nizam Tamchek, Zainal Abidin Talib, Oon Jew Lee, Kar Ban Tan

“…Vanadium dioxide (VO2) has great potential as an intelligent architectural glazing system as it can control the amount of light, heat, and solar energy relative to the temperature in the environment. …”
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Vali@mPEG‐TK‐COS: A Dual‐Function Nano‐Pesticide for Fungicidal Action and Plant Immune Modulation by Ruixin Li, Xiaochen Jia, Hongguo Xie, Xueran Wang, Jinxuan Wen, Guanglu Yu, Chunlai Zhang, Yeqing Sun, Heng Yin

“…In this study, we developed a novel intelligent response‐controlled release nano‐pesticide, Vali@mPEG‐TK‐COS, by coupling chitosan oligosaccharide (COS), a plant immunity regulator, and methoxy polyethylene glycols (mPEG) at either end of thioketal (TK), a material responsive to reactive oxygen species (ROS), and incorporating validamycin (Vali) for controlled release. …”
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Predicting Shear Capacity of FRP-Reinforced Concrete Beams without Stirrups by Artificial Neural Networks, Gene Expression Programming, and Regression Analysis by Ghazi Bahroz Jumaa, Ali Ramadhan Yousif

“…This paper proposes three new prediction models, utilizing artificial neural networks (ANNs) and gene expression programming (GEP), as a recently developed artificial intelligent techniques, and nonlinear regression analysis (NLR) as a conventional technique. …”
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Effects of Functional Electrical Stimulation Based on Walking Pattern with Different Treatment Time on Lower Limb Function in Stroke Patients：A Randomized Controlled Study by XUE Jingjing, KONG Huimin, LIAO Meixin, XUE Yunlian, XIAO Lingjun

“…ObjectiveFocusing on the intelligent and multi-channel functional electrical stimulation (FES) based on normal walking patterns, we explored the correlation between therapeutic effect and stimulating time for improving lower extremity motor function of stroke patients, to provide evidence for further clinical applications of FES based on walking patterns.MethodsThe Minimize software was used to divided 18 stroke patients randomly into a group treated with 60 min FES in walking pattern (9 patients, 60 min-stimulation group), and the rest were treated with 30 min FES in walking pattern (9 patients, 30 min-stimulation group). …”
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