A simple and universal strategy for preparing external stress-free two-way shape memory polymers by making use of the chemical crosslinkages derived from peroxide initiator by L. F. Fan, Y. N. Huang, M. Z. Rong, M. Q. Zhang

“…Through the optimization of the LPO quality, an average reversible strain of up to ~21% in the direction of stretching was measured. …”
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A lithium-ion batteries SOH estimation method based on extracting new features during the constant voltage charging stage and improving BPNN. by Yanhua Xian, Mingyang Li, Jiayin Huang

“…Secondly, addressing the issue of weight and threshold initialization in BPNN, the Coati Optimization Algorithm (COA) was employed to optimize the network (COA-BPNN). …”
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Classification of Ship Type from Combination of HMM–DNN–CNN Models Based on Ship Trajectory Features by Dae-Woon Shin, Chan-Su Yang

“…The HMM–DNN–CNN combination was obtained as the optimal model (average F-1 score: 97.54%), achieving individual classification performances of 99.03%, 97.46%, and 95.83% for fishing boats, passenger ships, and container ships, respectively. …”
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Dynamic Emergency Vehicle Path Planning and Traffic Evacuation Based on Salp Swarm Algorithm by X. H. Duan, J. X. Wu, Y. L. Xiong

“…In view of the rescue delay due to traffic congestion in the urban road network, this paper implemented real-time traffic control with congestion index constraints in emergency vehicle dispatching and proposed a two-stage optimization model and algorithm. …”
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Assignment of hybrid laser and microwave inter-satellite links for navigation satellite systems by Nan Wang, Leyuan Sun, Yuankun Fang, Zhengkai Lu, Qiancheng Ding, Chengzhuo Wang, Wende Huang

“…Abstract A hybrid network comprising both laser and microwave inter-satellite links (ISLs) has been established within navigation satellite constellations. …”
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Multi-Intersection Signal Control Based on Asynchronous Reinforcement Learning by Jixiang Wang, Siqi Chen, Jing Wei, Boao Wang, Haiyang Yu

“…In the same traffic scenario, the MADRL algorithm used for asynchronous decision-making has improved the average vehicle delay and average queue length by at least 55% compared to traditional arterial green wave control methods and adaptive control methods, and by at least 5% compared to SAC and A2C methods.…”
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RETRACTED ARTICLE: Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numeric... by Muhammad Naeem Aslam, Nadeem Shaukat, Arshad Riaz, Ilyas Khan, Shafiullah Niazai

“…The weights of ANN based fitness function ranging from − 10 to 10. To optimize the weights and biases of artificial neural networks (ANNs), employ a hybridization of advanced evolutionary optimization algorithms, specifically the artificial bee colony (ABC) optimization integrated with neural network algorithms (NNA). …”
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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Accurate prediction of electrical energy consumption in smart buildings is a critical challenge for optimizing energy management systems, reducing costs, and improving overall efficiency. …”
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A Comprehensive Regional Approach to Eco-Efficiency in Spanish Agriculture over Time by María Pilar Rodríguez-Fernández, Cristina Hidalgo-González, David Pérez-Neira

“…This has been achieved using data from the Farm Accounting Network and the non-oriented SBM-DEA method with constant returns to scale. …”
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Optimum Design of Fully Composite, Unstiffened, Built-Up, Hybrid Steel Girder Using GRG, NLR, and ANN Techniques by Mohamed A. El-Aghoury, Ahmed M. Ebid, Kennedy C. Onyelowe

“…The accuracies of the developed models were measured in terms of average error percent. NLR and ANN models showed average error percent of 16% and 11%, respectively.…”
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Neuro-Evolution of Augmenting Topologies for Dynamic Scheduling of Flexible Job Shop Problem by Jian Huang, Yarong Chen, Jabir Mumtaz, Liuyan Zhong

“…Employing the entropy weight method, a fitness function for multiobjective optimization is formulated, facilitating the enhancement of the neural network’s structural and nodal parameters through genetic algorithms. …”
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Rapid and accurate detection of peanut pod appearance quality based on lightweight and improved YOLOv5_SSE model by Zhixia Liu, Xilin Zhong, Chunyu Wang, Guozhen Wu, Fengyu He, Jing Wang, Dexu Yang

“…This optimized network model excels in rapidly, efficiently, and accurately detecting the appearance quality of mixed multi-target peanut pods, making it suitable for deployment on embedded devices. …”
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Identification of Tree-Related High-Impedance Earth Faults Based on Long-Term Fluctuations in Zero-Sequence Current by Pengwei Wang, Bingyin Xu, Tony Yip, Dong Liang, Guofeng Zou

“…An identification method based on an improved grey wolf optimization probabilistic neural network is constructed. …”
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Trinocular Vision-Driven Robotic Fertilization: Enhanced YOLOv8n for Precision Mulberry Growth Synchronization by Ma Ming, Osama Elsherbiny, Jianmin Gao

“…These improvements included the introduction of the Asymptotic Feature Pyramid Network (AFPN), the optimization of feature extraction using the MSBlock module, the adoption of a dynamic ATSS label assignment strategy, and the replacement of the CIoU loss function with the Focal_XIoU loss function. …”
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Active Compliance Control System for Intelligent Inspection Robot in Power Room by Ning Guan, Pei Zhang

“…This research includes the noncontact detection method of the inspection robot in the power room based on machine vision; the optimization environment of the power room; the control of the inspection robot through the monitoring system terminal; the automatic visual inspection of the machine through the monitoring network transmission; the display of the monitoring terminal and the use of the calibration of the machine; and the edge detection method of the inspection image. …”
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Improved Backpropagation Using Genetic Algorithm for Prediction of Anomalies and Data Unavailability by Gunadi Widi Nurcahyo, Akbari Wafridh, Yuhandri

“…To enhance BPNN's effectiveness, this study integrates Genetic Algorithm (GA) optimization, forming the BPGA method. GA is effective in finding optimal parameter solutions and improving prediction accuracy. …”
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Multi-agent deep reinforcement learning for RIS-assisted secure UAV communication by Bojia Zhao, Danyang Qin, Yuhong Chen, Jiaqiang Yang, Huapeng Tang, Lin Ma

“…To achieve this, we develop a multi-agent twin delayed deep deterministic policy gradient algorithm with energy penalty (MATD3-EP), where multiple agents dynamically solve subproblems and share rewards to achieve global optimization. Simulation results demonstrate that the proposed algorithm significantly outperforms benchmark strategies in maximizing both average SSR and SEE.…”
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Analytical Modeling of Forced-Air Cooling Heatsink by Considering Air Temperature Rise in Channel and Coupling of Multiple Heat Sources by Jianxiong Yu, Kaiyang Bu, Ye Tian, Bowen Liu, Yongjun Zheng, Bin Guo, Chushan Li

“…Furthermore, the proposed model is primarily based on analytical formulations, which ensures fast computation and makes it well-suited for rapid thermal evaluation and efficient optimization of cooling system designs. The accuracy of this thermal resistance network is verified through computational fluid dynamics (CFD) simulations and experiments, with an average prediction error of less than 6%, maximum error less than 14%. …”
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Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+ by HU Chengxi, TAN Lixin, WANG Wenyin, SONG Min

“…[Methods]The primary technical innovation resided in the amalgamation of a lightweight network architecture, MobilenetV2, with an attention mechanism known as efficient channel attention network (ECANet), alongside optimization modules including atrous spatial pyramid pooling (ASPP). …”
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Design and Testing of Electric Drive System for Maize Precision Seeder by Lin Ling, Yuejin Xiao, Xinguang Huang, Guangwei Wu, Liwei Li, Bingxin Yan, Duanyang Geng

“…To improve the expandability, seeding accuracy, and operating speed range of the electric drive system (EDS) of precision seeders, this study constructed an EDS based on a controller area network (CAN) bus and designed a motor controller based on a field-orientated control (FOC) algorithm. …”
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