Automatic Identification and Location of Tunnel Lining Cracks by Pengyu Wang, Shuhong Wang, Alipujiang Jierula

“…By image processing technology and intelligent algorithm, the computer has a hominine visual perception system which understands, analyzes, and determines input image information, thus recognizing and detecting specific objectives. …”
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Non-linear multi-objective optimization model of production planning based on fuzzy logic and machine learning by Zahra Saeidi Mobarakeh, Hossein Amoozadkhalili

“…This fuzzy logic is combined with machine learning algorithms such as neural networks and reinforcement learning to create an intelligent and flexible model that effectively adapts to sudden changes in dynamic environments. …”
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Neural activity responsiveness by maturation of inhibition underlying critical period plasticity by Ibuki Matsumoto, Sou Nobukawa, Sou Nobukawa, Sou Nobukawa, Sou Nobukawa, Takashi Kanamaru, Takashi Kanamaru, Yusuke Sakemi, Yusuke Sakemi, Nina Sviridova, Nina Sviridova, Tomoki Kurikawa, Nobuhiko Wagatsuma, Kazuyuki Aihara, Kazuyuki Aihara

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Single-Cell RNA-Seq Uncovers Cellular Heterogeneity from Deep Fascia in Necrotizing Fasciitis Patients by Wang T, Zhang L, Chen W, Long Y, Zhang Y, Wang L, Hou Z

“…Tao Wang,1,* Liping Zhang,2,* Wei Chen,3 Yubin Long,3 Yingze Zhang,3– 6 Ling Wang,3 Zhiyong Hou3– 6 1Department of Lower Limb Trauma, Beijing Jishuitan Hospital, Guizhou Hospital, Guiyang, Guizhou, People’s Republic of China; 2Department of Physiology, Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China; 3Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China; 4Engineering Research Center of Orthopedic Minimally Invasive Intelligent Equipment, Ministry of Education, Shanghai, People’s Republic of China; 5Key Laboratory of Biomechanics of Hebei Province, Shijiazhuang, Hebei, People’s Republic of China; 6NHC Key Laboratory of Intelligent Orthopaedic Equipment, Shijiazhuang, Hebei, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhiyong Hou, Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, P.R. …”
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Tuning Electrical Conductivity and Ultrafast Optical Nonlinearity of Reduced-GO Films Ablated by Femtosecond Laser Direct Writing by Youliang Tao, Xuefeng Zhang, Han Wang, Zhongquan Nie, Deng Pan

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Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds by Jing Huang, Xuenan Zhang, Hang Yang, Zhenbiao Li, Zhengfang Xue, Qingqing Wang, Xinyuan Zhang, Shenghua Ding, Zisheng Luo, Yanqun Xu

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The use of large language models in detecting Chinese ultrasound report errors by Yuqi Yan, Kai Wang, Bojian Feng, Jincao Yao, Tian Jiang, Zhiyan Jin, Yin Zheng, Yahan Zhou, Chen Chen, Lin Sui, Xiayi Chen, Yanhong Du, Jie Yang, Qianmeng Pan, Lingyan Zhou, Vicky Yang Wang, Ping Liang, Dong Xu

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Ship Target Detection Algorithm Based on Improved YOLOv3 for Maritime Image by Dehai Chen, Shiru Sun, Zhijun Lei, Heng Shao, Yuzhao Wang

“…Accurate identification of ships is the key technology of intelligent transportation in water. At the same time, it also provides a judgment basis for water traffic safety control. …”
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Model-Free Speed Control for Pumping Kite Generator Systems Based on Nonlinear Hyperbolic Tangent Tracking Differentiator by Mouaad Belguedri, Abdeldjabar Benrabah, Farid Khoucha, Emmanuel Delaleau, Mohamed Benbouzid, Khelifa Benmansour

“…To overcome these limitations, a model-free controller (MFC) approach is introduced, also known as intelligent PID controllers. Unlike traditional methods, MFC does not rely on a control model of the system and adapts to uncertainties and disturbances through online estimation based on the system’s input–output behavior. …”
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Precision Sensing-Aided Multi-Target Beamforming Prediction in High-Mobility ISAC Systems Based on OTFS by Chunyue Wang, Yong Wang, Huiming Zheng, Yunhao Chai, Ying Dong

“…The integration of orthogonal time frequency space signals into integrated sensing and communication systems has emerged as a highly promising approach for constructing intelligent transportation systems. Among these advancements, beamforming prediction techniques that incorporate multiple-input multiple-output technology have gained widespread attention. …”
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Energy-efficient resource allocation method in mobile edge network based on double deep Q-learning by Peng YU, Junye ZHANG, Wenjing LI, Fanqin ZHOU, Lei FENG, Shu FU, Xuesong QIU

“…To improve the system energy efficiency in mobile edge networks, a resource allocation method based on double deep Q-learning(DDQL) for integration of communication, computing, storage resources was proposed for the downlink communication process under the network architecture of multiple tasks, end devices, edge gateways and edge servers.A resource allocation model was constructed, which took the minimization of average energy consumption of tasks as the optimization goal and set the constraints of task delay limits and communication, computing, and storage resource limits.According to the model characteristics, a suitable resource allocation model and method based on DDQL framework was proposed to make intelligent allocation decisions for communication and computing resources and allocate storage resources on demand.Simulation results show that the proposed DDQL-based solution can effectively solve the multi-task resource allocation problem with good converge and low time complexity, and it reduces the average energy consumption of tasks by at least 5% compared with the solving methods based on random algorithm, greedy algorithm, particle swarm optimization algorithm and deep Q-learning while ensuring the quality of service.…”
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EVLearn: extending the cityLearn framework with electric vehicle simulation by Tiago Fonseca, Luis Lino Ferreira, Bernardo Cabral, Ricardo Severino, Kingsley Nweye, Dipanjan Ghose, Zoltan Nagy

“…Abstract Intelligent energy management strategies, such as Vehicle-to-Grid (V2G) and Grid-to-Vehicle (V1G) emerge as a potential solution to the Electric Vehicles’ (EVs) integration into the energy grid. …”
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Fault Diagnosis of Bearing based on SVD-LMD Fuzzy Entropy and PNN by Liu Le, Sun Huer, Xie Zhiqian

“…In order to improve the effectiveness of bearing fault feature information extraction,the intelligent recognition of bearing fault pattern is realized,and the efficiency of fault diagnosis is improved. …”
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Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

“…The emergence of different computing methods such as cloud-, fog-, and edge-based Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems for disease detection. Compared to other machine learning models, deep learning models have gained more attention from the research community, as they have shown better results with a large volume of data compared to shallow learning. …”
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Speech and Swallowing Data in Individual Patients Who Underwent Glossectomy after Prosthetic Rehabilitation by Viviane de Carvalho, Luiz Ubirajara Sennes

“…There were improvement of speech intelligibility and swallowing in 96 patients and in 73 patients, respectively, with prosthesis. …”
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Research and prospect of 5G edge computing sharing by Lingbin MENG, Juan LI, Nan XUE, Yong ZOU

“…The three application scenarios of 5G make forward higher requirements for network delay,bandwidth,connection and security,which drive 5G to sink the core capabilities of network,computing,storage and application to the edge of the network.The 5G base station which is closer to the terminal/user and has complete resources such as base station power,operation and maintenance will be the best choice for 5G edge computing deployment.Based on the multi-point 5G base station site resource and the architecture of edge computing deployment,the feasibility of multi-operator 5G edge computing shared deployment was studied,three feasible co-building and sharing schemes,such as base station infrastructure sharing,IaaS facility sharing and PaaS platform sharing were proposed.By coordinating the development needs of 5G edge computing and realizing the co-construction and sharing of edge computing,the construction cost and operation cost of edge computing can be greatly reduced,and the rapid scale development of edge computing can be realized,to build an intensive and efficient,economic and applicable,intelligent green,safe and reliable edge computing system.…”
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A dimmable LED light source along the Planckian locus by Yuanbao Du, Lixia Zhao, Riguang Zhang, Yaohua Zhang

“…Ultimately, this solution enables dimming along the Planck curve with constant power, improving CRI, luminous efficacy, and brightness at intermediate temperatures, while being cost-effective and minimizing the impact on initial color temperatures, offering a high-quality dimmable LED option for intelligent applications.…”
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Application of Optimal Scheduling Model Based on Improved Genetic Algorithm in Electric Power Mobile Operation by Rui Fan, Huiying Jing, Zhixin Jing

“…The research utilizes a genetic algorithm to intelligently schedule human resources, automating the scheduling process and achieving the lowest cost for completing the work.…”
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An Improved Deep Belief Network IDS on IoT-Based Network for Traffic Systems by Rayeesa Malik, Yashwant Singh, Zakir Ahmad Sheikh, Pooja Anand, Pradeep Kumar Singh, Tewabe Chekole Workneh

“…Hence, there is a need to use an intelligent mechanism based on machine learning (ML) and deep learning (DL), to detect attacks. …”
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An Integrative Approach to Accurate Vehicle Logo Detection by Hao Pan, Bailing Zhang

“…Vehicle logo detection from images captured by surveillance cameras is an important step towards the vehicle recognition that is required for many applications in intelligent transportation systems and automatic surveillance. …”
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