Research on the pneumatic-electric braking collaborative control strategy for heavy-haul trains based on heuristic dual-end optimization by ZHANG Zhengfang, SHI Ke, LIU Haitao, WANG Yue, FENG Ling

“…To tackle this issue, this paper proposes a pneumatic-electric braking collaborative control strategy for heavy-haul trains based on heuristic dual-end optimization. …”
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Development of optimal real‐time metro operation strategy minimizing total passenger travel time and train energy consumption by Yoonseok Oh, Ho‐Chan Kwak, Seungmo Kang

“…The result of metro operation simulations using proposed optimal operation strategies reveals a 7–14% improvement in efficiency compared to the current train operation strategies.…”
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Iron Deficiency in Female Endurance Athletes: The Role of Hepcidin Regulation, Training Load, and Dietary Strategies in Optimizing Performance and Health by Małgorzata Wasilewska, Krzysztof Pietrzak, Sebastian Polok, Łukasz Bialic

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Working out of the high school strategy as a necessary condition of optimization of a control system experts' vocational training

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Day-ahead energy optimization and scheduling strategy of "source-network-train-storage" coordinated power supply system for electrified railways by LIAO Haizhu, HU Haitao, HUANG Yi, GE Yinbo, GENG Anqi, WANG Ke

“…To bring into full play of the flexible power flow control of the "source-network-train-storage" coordinated power supply system in improving the regenerative braking energy and renewable energy accommodation, a day-ahead energy optimization and scheduling strategy at the traction substation level based on train loads and new energy generation forecast data was proposed. …”
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A convolutional neural network driven suspension control strategy to enhance sustainability of high-speed trains by Duo Zhang, Hong-Wei Li, Fang-Ru Zhou, Yin-Ying Tang, Qi-Yuan Peng

“…The optimization results indicate that energy consumption and lateral vibration of a high-speed train on curved tracks can be respectively reduced by up to 15.90 % and 47.78 % through employment of the proposed control strategy.…”
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Optimization of re-profiling strategy for retirement upon completion of advanced repair period for EMU wheels by LIU Lingcong, SONG Dongli, ZHANG Weihua

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Automated and Enhanced Classification of Persea Americana Using Optimized Deep Convolutional Neural Networks With Improved Training Strategies for Agro-Industrial Settings by Oscar Vera, Jose Cruz, Severo Huaquipaco, Wilson Mamani, Victor Yana-Mamani, Saul Huaquipaco

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Research on Automatic Recovery Strategy for Metro Train Delay by QING Guangming, LI Jianghong, ZHANG Zhaoyang, ZHANG Yu

“…Aiming at the problems of train delay caused by factors such as passenger flow fluctuations, operational failures, etc., an automatic recovery method for metro train delay was established suitable for full-length and short-turn routing based on train operating organization strategy. …”
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Current Situation and Training Strategy of Rehabilitation Nurses in China by Zhuangmiao LI, Hongjia ZHAO, Fang LIU, Shuqin PANG, Liwei ZHENG, Xiaofeng DAI

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Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window by Jin He, Yinzhen Li, Yuhong Chao, Ruhu Gao

“…This paper proposes an optimization model for the train operation scheme of the Airport Express Line (AEL) based on the expected arrival time of passengers by the introduction of the train departure time to cope with the time-dependent passenger flow and provide better prompt train service according to passengers’ demand. …”
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Optimization model for reliability-based maintenance strategies of critical components in electric multiple units by CHEN Jiayu, SONG Dongli, GENG Fangdong

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Resource trading strategies with risk selection in collaborative training market. by Quyuan Wang, Xinyu Ni, Yuping Tu, Ying Wang, Jiadi Liu

“…With the aid of economic tools, we design Swing Gradient Search Algorithm to obtain the optimal investment portfolio strategy, thereby addressing the coupling relationship between the quantities of resource acquisition. …”
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Comparative Analysis of Train Departure Strategies in a Container Shipment by Alessia Giulianetti, Marco Gotelli, Anna Sciomachen

“…We evaluate the medium- and long-term impact of alternative strategies on container dwell times and the possible increase in the number of containers shipped by train. …”
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Optimizing Strategies for Managing Difficult Intravenous Access by Saad AA, Simsekler MCE, Ahmed S, Ouda R, Khaddam O, Sanousi M, Benny M, Sunbati HA, Kashiwagi D, Al Rifai A, Ahmad M, Anwar S

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Three Strategies Enhance the Bionic Coati Optimization Algorithm for Global Optimization and Feature Selection Problems by Qingzheng Cao, Shuqi Yuan, Yi Fang

“…However, raw training datasets often contain abundant redundant features, which increase model training’s computational cost and impair generalization ability. …”
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DEVELOPMENT OF THE MODELS TO OPTIMIZATION IN SYSTEM BIOTEHNICAL OF THE PLAYING CAR TRAINING by F. A. Pyatakovich, T. I. Yakunchenko, K. F. Makkonen

“…The Purpose – its were developed multiparametric models and algorithms of the optimization playing training biooperated. In work are used methods of the system analysis, modeling, system technical analysis and constructing, mathematical statistics, methods of the computer analysis heart rate variability by means of sensor of the pulse and breathings.The Conclusion: its were designed two models of strategy playing, one – with installation on avoid of the failures and the second – on achievement of the success. …”
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Optimizing adaptive responses through individualized interval hypoxic training by Abdrazak Babashev, Zhylkyshybaeva M. Malikovna, Kalekeshov A. Maralovich, Shaikhynbekova R. Mukhambetovna, Aigerim Bektemirova, Baibolatova L. Mukhatovna, Otarova N. I liyasovna7, Barmenkulova B. Bedelovna, Gaukhar Abdikarimova

“…Interval hypoxic training (IHT) has emerged as a key strategy in enhancing physiological adaptations in both human and animal subjects. …”
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Federated learning optimization algorithm based on incentive mechanism by Youliang TIAN, Shihong WU, Ta LI, Lindong WANG, Hua ZHOU

“…Federated learning optimization algorithm based on incentive mechanism was proposed to address the issues of multiple iterations, long training time and low efficiency in the training process of federated learning.Firstly, the reputation value related to time and model loss was designed.Based on the reputation value, an incentive mechanism was designed to encourage clients with high-quality data to join the training.Secondly, the auction mechanism was designed based on the auction theory.By auctioning local training tasks to the fog node, the client entrusted the high-performance fog node to train local data, so as to improve the efficiency of local training and solve the problem of performance imbalance between clients.Finally, the global gradient aggregation strategy was designed to increase the weight of high-precision local gradient in the global gradient and eliminate malicious clients, so as to reduce the number of model training.…”
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Federated learning optimization algorithm based on incentive mechanism by Youliang TIAN, Shihong WU, Ta LI, Lindong WANG, Hua ZHOU

“…Federated learning optimization algorithm based on incentive mechanism was proposed to address the issues of multiple iterations, long training time and low efficiency in the training process of federated learning.Firstly, the reputation value related to time and model loss was designed.Based on the reputation value, an incentive mechanism was designed to encourage clients with high-quality data to join the training.Secondly, the auction mechanism was designed based on the auction theory.By auctioning local training tasks to the fog node, the client entrusted the high-performance fog node to train local data, so as to improve the efficiency of local training and solve the problem of performance imbalance between clients.Finally, the global gradient aggregation strategy was designed to increase the weight of high-precision local gradient in the global gradient and eliminate malicious clients, so as to reduce the number of model training.…”
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