Spatiotemporal Traffic Flow Prediction with KNN and LSTM by Xianglong Luo, Danyang Li, Yu Yang, Shengrui Zhang

“…The traffic flow prediction is becoming increasingly crucial in Intelligent Transportation Systems. Accurate prediction result is the precondition of traffic guidance, management, and control. …”
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Development and Testing of Road Signs Alert System Using a Smart Mobile Phone by Eric M. Masatu, Ramadhani Sinde, Anael Sam

“…Advanced driver assistance systems are one of the salient features of intelligent systems in transportation. They improve vehicle safety by providing real-time traffic information to the driver. …”
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Task-Driven Computing Offloading and Resource Allocation Scheme for Maritime Autonomous Surface Ships Under Cloud–Shore–Ship Collaboration Framework by Supu Xiu, Ying Zhang, Hualong Chen, Yuanqiao Wen, Changshi Xiao

“…Based on the global information of the framework, we propose an intelligent resource allocation method based on Q-learning by combining the relevance, QoS characteristics, and priority of ship tasks. …”
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Tomato ripeness and stem recognition based on improved YOLOX by Yanwen Li, Juxia Li, Lei Luo, Lingqi Wang, Qingyu Zhi

“…Abstract To address the challenges of unbalanced class labels with varying maturity levels of tomato fruits and low recognition accuracy for both fruits and stems in intelligent harvesting, we propose the YOLOX-SE-GIoU model for identifying tomato fruit maturity and stems. …”
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YOLOv7-DWS: tea bud recognition and detection network in multi-density environment via improved YOLOv7 by Xiaoming Wang, Xiaoming Wang, Zhenlong Wu, Guannan Xiao, Guannan Xiao, Chongyang Han, Cheng Fang

“…IntroductionAccurate detection and recognition of tea bud images can drive advances in intelligent harvesting machinery for tea gardens and technology for tea bud pests and diseases. …”
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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

“…Additionally, the paper highlights future research directions, including the potential of multi-model fusion, emerging deep learning technologies like Transformers, and the integration of smart sensors and IoT technologies to develop intelligent, automated, and reliable prediction systems. …”
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An Efficient Cluster-Based Mutual Authentication and Key Update Protocol for Secure Internet of Vehicles in 5G Sensor Networks by Xinzhong Su, Youyun Xu

“…This work contributes to the development of secure, resilient, and efficient intelligent transportation systems, ensuring robust communication and protection in sensor-based IoV environments.…”
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Du post-apocalyptique au posthumain by Anne-Sophie Hillard

“…The novel Pulsarnacht (2012) depicts a world where different intelligent species live alongside each other. The Dims, enslaved by their masters, the Custai, and despised by the posthumans from Yasaka, keep telling the myth of the Night of Pulsars. …”
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Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism by Ping Li, Siyang Peng, Linxian Che, Li Du, Junkun Hong

“…By an organic combination of the intelligent optimization algorithm and the numerical iteration method， a general algorithm called hybrid artificial bee colony and Newton iteration （HABC-Newton） algorithm for solving the forward positions of parallel mechanism is constructed. …”
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Logatome Discrimination in Cochlear Implant Users: Subjective Tests Compared to the Mismatch Negativity by Torsten Rahne, Michael Ziese, Dorothea Rostalski, Roland Mühler

“…Thirteen adult normal hearing listeners and eight adult CI users, including both good and poor performers, were included in the study and completed the test after their speech intelligibility abilities were evaluated with an established sentence test in noise. …”
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Multi-Scale Robotics: A Numerical Investigation on Mobile Micro-Tweezers for Micro-Manipulation with Extreme Requirements by Ahmet Fatih Tabak

“…An automated micro-tweezers system with a flexible workspace would benefit the intelligent sorting of live cells. Such micro-tweezers could employ a forced vortex strong enough to capture a single cell. …”
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Defect Point Location Method of Civil Bridge Based on Internet of Things Wireless Communication by Xiaofeng Yan, Zedong Liu, Zijing Zhuang, Yong Miao

“…It has also developed an intelligent software system that can measure and identify cracks under bridges. …”
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A deep learning‐based framework to identify and characterise heterogeneous secure network traffic by Faiz Ul Islam, Guangjie Liu, Weiwei Liu, Qazi Mazhar ul Haq

“…Abstract The evergrowing diversity of encrypted and anonymous network traffic makes network management more formidable to manage the network traffic. An intelligent system is essential to analyse and identify network traffic accurately. …”
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3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background by Jianyong Chai, Limin Jia, Jian Cao, Jianfeng Liu, Zhe Chen, Shubin Li, Xuejuan Wang, Hong Han

“…This article takes the Jinan Metro Tunnel Displacement Real-time Monitoring Project in China as a case study and constructs a comprehensive monitoring framework using robotic total stations, intelligent automated deformation monitoring data collectors, and cloud servers. …”
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DARE: A decentralized association rules extraction scheme for embedded data sets in distributed IoT devices by Márcio Alencar, Raimundo Barreto, Horácio Fernandes, Eduardo Souto, Richard Pazzi

“…Thus, we show that associative analysis of IoT device state change is efficient to provide an intelligent and highly integrated IoT platform while avoiding the single point of failure problem.…”
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A Semi-supervised Deep Learning Method for Cervical Cell Classification by Siqi Zhao, Yongjun He, Jian Qin, Zixuan Wang

“…Cervical cell classification is a key technology in the intelligent cervical cancer diagnosis system. Training a deep neural network-based classification model requires a large amount of data. …”
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Mathematical Modeling Methods and Their Application in the Analysis of Complex Signal Systems by Yanjun Li

“…Then, the mathematical model optimization of complex wireless systems and intelligent transportation networks is quantitatively evaluated. …”
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Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems by Fevzi Çakmak, Zafer Aydoğmuş, Mehmet Rıda Tür

“…In this paper, a novel intelligent hybrid fuzzy logic-controlled maximum power point tracking algorithm founded on the perturb and observe (PO) algorithm is presented. …”
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Resource Scheduling Algorithm Based on DQN in Satellite CDN by Jiaran ZHANG, Yating YANG, Tian SONG

“…With the rapid development of space and information fi eld, hot content distribution intensive scenes will become one of the key directions of satellite network application, and satellite content delivery network (CDN) network is an important means to improve the effi ciency of air and space content distribution.In the architecture of satellite CDN network, due to the uneven time and space of business requirements, the scarcity of satellite resources and the insuffi cient adaptability of existing scheduling algorithms, scheduling algorithms for satellite resources are faced with problems such as high resource dimension, many computing states and large amount of computation, which will reduce the accuracy, response speed and computing performance of scheduling decisions.To solve this problem, a resource scheduling algorithm based on Deep Q-Learning (DQN) algorithm was proposed to improved the effi ciency and accuracy of satellite resource scheduling, and intelligently and quickly perceived the resource situation to make scheduling decisions.Firstly, the user requests were classifi ed, and the shortest path set that the satellite could communicated with was calculated according to the time-varying trajectory of the satellite and the resources of the satellite and the ground.After that, the related information of satellites and users was quantifi ed by Markov model modeling, and the optimal CDN storage node of satellites was calculated by DQN algorithm, which achieved the eff ects of reduced user request delay, reduced satellite-ground resource occupancy rate and improved cache hit rate.…”
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Enabling Innovative Governance: Ethical Leadership and Dynamic Capabilities in Government Digital Transformation by Xiangyu Bian, Bin Wang

“…Organizations with higher levels of knowledge management capability exhibit stronger positive effects of ethical leadership on innovation, suggesting that robust digital and intelligent infrastructures amplify the leadership’s impact. …”
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