Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors by Taku Sugiyama, Kyo Kutsuzawa, Dai Owaki, Elijah Almanzor, Fumiya Iida, Mitsuhiro Hayashibe

“…Reliable proprioception and feedback from soft sensors are crucial for enabling soft robots to function intelligently in real-world environments. Nevertheless, soft sensors are fragile and are susceptible to various damage sources in such environments. …”
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Design and Experiment of Electric Uncrewed Transport Vehicle for Solanaceous Vegetables in Greenhouse by Chunsong Guan, Weisong Zhao, Binxing Xu, Zhichao Cui, Yating Yang, Yan Gong

“…Despite some rudimentary handling vehicles employed in the labor-intensive harvesting and transportation of greenhouse vegetables, research on intelligent uncrewed transport vehicles remains limited. …”
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Digital Twin Hospital Buildings: An Exemplary Case Study through Continuous Lifecycle Integration by Yang Peng, Ming Zhang, Fangqiang Yu, Jinglin Xu, Shang Gao

“…Then, a DT software system with real-time visual management and artificial intelligent diagnosis modules was developed and deployed in a newly built DT control center. …”
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Voltage Profile Analysis in Smart Grids Using Online Estimation Algorithm by P. Raghavendra, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Dattatraya N. Gaonkar, A. Sathoshakumar, Baseem Khan

“…In order to maintain the power quality and voltage levels within the tolerance limit, new measurement techniques and intelligent devices along with digital communications should be used for better utilization of the distribution grid. …”
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Autonomous Robotic Manipulation: Real-Time, Deep-Learning Approach for Grasping of Unknown Objects by Malak H. Sayour, Sharbel E. Kozhaya, Samer S. Saab

“…Recent advancement in vision-based robotics and deep-learning techniques has enabled the use of intelligent systems in a wider range of applications requiring object manipulation. …”
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Fast deep reinforcement learning anti-jamming algorithm based on similar sample generation by ZHOU Quan, NIU Yingtao

“…Simulation results show that under comb sweep jamming and intelligent blocking jamming, the proposed algorithm exhibits rapid convergence speed, and its normalized throughput after convergence significantly superior to the conventional deep Q-network algorithm, the Q-learning algorithm, and the improved Q-learning algorithm based on knowledge reuse.…”
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Predicted Anchor Region Proposal with Balanced Feature Pyramid for License Plate Detection in Traffic Scene Images by Hoanh Nguyen

“…License plate detection is a key problem in intelligent transportation systems. Recently, many deep learning-based networks have been proposed and achieved incredible success in general object detection, such as faster R-CNN, SSD, and R-FCN. …”
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Prime-number-assisted block-based neighbor discovery protocol in wireless sensor networks by Woosik Lee, Jong-Hoon Youn, Teukseob Song

“…This study proposes a novel neighbor discovery protocol called the prime-number-assisted block-based neighbor discovery protocol, which intelligently changes the sensor schedules based on the greater common divisor of two sensors’ discovery cycle lengths. …”
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Enhancing Microgrid Protection With Impedance-Based Blocking: An Embedded Validation on a Dual-Layer Architecture by Thiago S. Menezes, Ricardo A. S. Fernandes, Denis V. Coury

“…As the undervoltage used in the second layer may present problems with selectivity losses, an impedance-based blocking strategy was proposed to mitigate it. Intelligent electronic devices close to the DERs receive voltage and current phasors, allowing the estimation of the impedance value used in the blocking strategy. …”
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An Assessment of The Effect of The Average Speed Enforcement Systems on Lithuanian Roads by Laura Gavėnienė, Donatas Čygas, Laura Jateikienė Jateikienė, Viktoras Vorobjovas, Vilma Jasiūnienė, Atis Zarinš

“…To reduce and control the speed of vehicles, engineering measures are installed on the roads of Lithuania and other countries – intelligent instantaneous and average speed enforcement systems, as well as many other engineering and structural speed reduction measures. …”
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A Sarsa(λ)-Based Control Model for Real-Time Traffic Light Coordination by Xiaoke Zhou, Fei Zhu, Quan Liu, Yuchen Fu, Wei Huang

“…Maximizing traffic flow and minimizing the average waiting time are the goals of intelligent traffic control. Each junction wants to get larger traffic flow. …”
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Interpretable real-time monitoring of short-term rockbursts in underground spaces based on microseismic activities by Mohammad Hossein Kadkhodaei, Ebrahim Ghasemi

“…Abstract In this study, two novel hybrid intelligent models were developed to evaluate the short-term rockburst using the random forest (RF) method and two meta-heuristic algorithms, whale optimization algorithm (WOA) and coati optimization algorithm (COA), for hyperparameter tuning. …”
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Stability Study of Distributed Drive Vehicles Based on Estimation of Road Adhesion Coefficient and Multi-Parameter Control by Peng Ji, Fengrui Han, Yifan Zhao

“…In order to improve the driving stability of distributed-drive intelligent electric vehicles under different roadway attachment conditions, this paper proposes a multi-parameter control algorithm based on the estimation of road adhesion coefficients. …”
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Research and Application of a Smart Monitoring System to Monitor the Deformation of a Dam and a Slope by Yongfei Wang, Dingbin Shen, Jiankang Chen, Liang Pei, Yanling Li, Xiang Lu, Lei Zhang

“…These problems greatly reduce the real time and reliability of deformation monitoring data and restrict the real-time intelligent control of engineering safety risk. In this paper, a multitype instrument-integrated monitoring system based mainly on the total positioning station (TPS) and supplemented by the Global Navigation Satellite System (GNSS) was promoted with the methods of large field angle, data complementation, environmental perception and judgment, automatic status control, and baseline calibration-meteorological fusion correction. …”
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The Application of Reinforcement Learning in Traffic Flow Prediction: Advantages, Problems, and Prospects by Li Minghui, Zhou Decheng, Zhang Shiqi

“…Accurate TFP has great significance for traffic management, urban planning, road design, and the development of intelligent transportation systems (ITS). This article summarizes three traditional methods of TFP: parameter-based prediction, shallow machine learning-based prediction, and deep learning (DL)-based prediction. …”
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Postfire Safety Investigation on Prestressed RPC Beams after Exposure to Elevated Temperatures by Yan Kai, Zhang Yao, Cai Hao, Fan Lili, Xin Zhang

“…Since the postfire safety of prestressed RPC beams after exposure to elevated temperatures needs to be studied and proved, this paper prepares eight smart prestressed RPC beams with intelligent sensors built in to monitor the internal temperature, force, and strain. …”
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A quality of service–aware preemptive tidal flow queuing model for wireless multimedia sensor networks in the smart grid environment by Li Peizhe, Wu Muqing, Zhao Min, Liao Wenxing

“…The smart grid incorporates a two-way communication system between customers and the utility for advanced monitoring and intelligent control of supply and demand. Wireless multimedia sensor network can be treated as an organic supplement and a peripheral network in this two-way communication system. …”
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3D Printed Multi‐Cavity Soft Actuator with Integrated Motion and Sensing Functionalities via Bio‐Inspired Interweaving Foldable Endomysium by Zhonggui Fang, Shaowu Tang, Yinyin Su, Xiaohuang Liu, Sicong Liu, Juan Yi, Zheng Wang, Jian S. Dai

“…Two McFI‐actuator‐driven robots are built: a soft crawling robot with path reconstruction and a narrow‐maneuverable soft gripper with object exteroception, validating the practicality in stand‐alone use of the actuator and the potential for intelligent soft robotic innovation of the McFI approach.…”
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A Systematic Review of the Clinimetric Properties of Habitual Physical Activity Measures in Young Children with a Motor Disability by Stina Oftedal, Kristie L. Bell, Louise E. Mitchell, Peter S. W. Davies, Robert S. Ware, Roslyn N. Boyd

“…The Minimod had good ability to measure continuous walking but the demonstrated poor ability to measure steps during free-living activities. The Intelligent Device for Energy Expenditure and Activity and Ambulatory Monitoring Pod showed poor ability to measure activity during both continuous walking and free-living activities. …”
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Fan Blade Crack Detection Algorithm Based on Multi-Scale Feature Fusion by Yongjun Qi, Hailin Tang, Altangerel Khuder

“…In order to quickly and accurately detect and maintain the fan blades, based on the intelligent big data from the environment, we propose the convolutional neural network model to solve the problem of low recognition rate due to the lack of feature extraction in the fan blade crack image, and the long short-term memory network (Long Short-Term Memory, LSTM) convolutional neural network model, and the dimensionality reduction of the captured image data, which is beneficial to improve the recognition rate of the picture and reduce the loss rate of the picture through the detection model’s suitable recognition of complex background problems such as target occlusion and overlap. …”
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