Novel CP model and CP-assisted meta-heuristic algorithm for flexible job shop scheduling with preventive maintenance by Lixin Zhao, Leilei Meng, Weiyao Cheng, Yaping Ren, Biao Zhang, Hongyan Sang

“…Meanwhile, CVNSQ-CP outperforms current state-of-the-art methods by improving 9 current best-known solutions for FJSP-FPM and 3 current best-known solutions for FJSP-PPM.…”
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Optimization of costs in the enterprise. Effective strategies for business by N. Yu. Pracheva

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A Puzzle-Based Sequencing System for Logistics Items by Raji Alahmad, Kazuo Ishii

“…<em>Background</em>: The new demands of the current market including for space should be satisfied by designing modern material flow systems. …”
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The hypothesis of formation of the structure of surfaced metal at the surfacing based on the application of the prognostic algorithm of control the electrode wire speed by Lebedev V. A., Novykov S. V.

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Model Parametrization-Based Genetic Algorithms Using Velocity Signal and Steady State of the Dynamic Response of a Motor by Mayra Cruz-Fernández, J. T. López-Maldonado, Omar Rodriguez-Abreo, Alondra Anahí Ortiz Verdín, J. Iván Amezcua Tinajero, Idalberto Macías-Socarrás, Juvenal Rodríguez-Reséndiz

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A leaky integrate-and-fire model with adaptation for the generation of a spike train by Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Maria Francesca Carfora

“…A related algorithm, based on the Hazard Rate Method, is also devised and described.…”
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Dynamic Performance Improvement of a Single-Phase VSI with Digital Implementation of an On-Line Optimal Trajectory Control Algorithm by Shah Zaman, Yan Zhang, Jinjun Liu, Danni Yang, Zhenchao Li

“…A nonlinear controller based on the simplified capacitor charge balance algorithm is employed to drive the inductor current and capacitor voltage to attain the target value by precisely following the projected optimal trajectory during the transient process in a brief period. …”
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Evaluation of Reduced-Switch Seven-Level Converter-Based upqc with Hybrid Fuzzy-Feedforward Neural Network Algorithm by Veera Nagi Reddy Varampati, Venkata Reddy Kota, Ashok Kumar Devarasetty Venkata

“…This paper proposes the design of a 7LFSC -UPQC based fuzzy-multilayer feed forward multi-layer neural network (FFMLNN) controller to mitigate PQ issues such as voltage sags, swells and current harmonics. A multi-layer feed forward neural network, in which a back-propagation algorithm is used to generate the appropriate reference voltage and current signals, and a shunt compensator of a seven-level unified power quality conditioner (UPQC). …”
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Research on 5G base station energy saving system based on DCNN-LSTM load prediction algorithm by Jianbin WANG, Shuchun WANG, Shangjin LIAO, Shuyuan SHI

“…With the rapid construction of the 5G wireless communication network, the energy consumption pressure of operators, and even the overall communication industry, is simultaneously highlighted.Achieving sustainable development of the industry through energy conservation and consumption reduction has become a new research direction for the current 5G network development.Taking the PRB rate as the load evaluation index, LSTM model was improved by using DCNN to extract the depth feature of the cell’s indicators.A set of DCNN-LSTM deep learning model that could predict the future value of PRB rate was proposed.On the basis of the improved algorithm, the network topology of the current 5G access network was optimized.An additional network element and its working system were designed.An intelligent energy-saving system, which ensured the network experience, of 5G base stations was realized.…”
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OPTIMAL DOCKING PROBLEM OF UAV AT DETECTED MOVING OBJECT by Lamiya NABADOVA

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Performance Enhancement of a Grid Connected Wind Turbine-Based PMSG Using Effective Predictive Control Algorithm by Mahmoud A. Mossa, Rasha A. Mohamed, Ameena Saad Al-Sumaiti

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Prediction of Future State Based on Up-To-Date Information of Green Development Using Algorithm of Deep Neural Network by Liyan Sun, Li Yang, Junqi Zhu

“…In this study, the focus was on the development of green energy and future prediction for the consumption of current energy sources and green energy development using an improved deep learning (DL) algorithm. …”
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Study on High Efficiency Control of Four-Switch Buck-Boost Converter Based on Whale Migration Optimization Algorithm by Zhencheng Hao, Yu Xu, Jing Bai

“…Under the four-mode operation conditions of the FSBB converter, the duty cycle and phase shift parameters of the switching devices are dynamically adjusted by optimizing the values to maximize the efficiency under different operation conditions, with the premise of achieving zero-voltage switching (ZVS) and the optimization objective of minimizing the inductor current as much as possible. Simulation results show that the proposed FSBB switching control strategy combined with the WMA algorithm improves the efficiency significantly over a wide voltage range (120–480 V) and under variable load conditions, and the transfer efficiency is improved by about 1.19% compared with that of the traditional three-mode control, and the maximum transfer efficiency is 99.34%, which verifies the validity and feasibility of the proposed strategy and provides a new approach to the high-efficiency control and application of FSBB converters.…”
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High-stability electrohydrodynamic inkjet printing based on double closed-loop fuzzy control by Yifang Liu, Yiman Chen, Huangping Yan, Junyu Chen, Huatan Chen, Shufan Li, Xiang Cheng, Gaofeng Zheng

“…A closed-loop control based on the fuzzy control algorithm has been designed to monitor the EHD printing system by taking the feedback information from micro-current and jet image. …”
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Optimization of Adaptive I²H &#x221E; Control Method Based on Multiple Input Sensors by Yu Gu, Hanyang Li, Zeting Mei, Hao Wen, Yuanxiong Jin, Wenxuan Dong

“…The core contributions of this study include: 1) Designing a multi-sensor current reference estimator to dynamically generate the optimal electromagnetic torque through state variables such as wheel speed, acceleration, slope, and human factor database (heart rate, subjective score, fatigue index) to achieve real-time prediction of rider demand; 2) Proposing an adaptive current reference value estimation algorithm that integrates feedforward compensation and error feedback to ensure smooth switching of assistance modes and suppress sensor noise; 3) Developing an intention-induced H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> robust current tracking controller that significantly enhances the system&#x2019;s robustness to parameter fluctuations and external disturbances by optimizing the H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> norm of the closed-loop transfer function, while supporting personalized riding assistance.…”
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Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer by Xiao Wei, Liu Chanjuan, Jiang Ke, Ye Linyun, Gao Jinxing, Wang Quanbing

“…The current study employs a recently integrated model of an improved tunicate swarm algorithm to produce an efficient tool for improving a convolutional neural network and delivering an accurate cancer diagnostic system. …”
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A practical algorithm for the treatment of mild-to-moderate atopic dermatitis (AD) in pediatric patients in Europe: expert recommendations by Matthias Augustin, Thomas Luger, Carlo Pincelli, Adam Reich, Eulàlia Baselga, Ulrich Wahn

“…This algorithm is intended as a supplementary tool to the current international and national evidence-based treatment guidelines, and to aid physicians who see and treat children with AD in their clinical practice.…”
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Fast-Charging Optimization Method for Lithium-Ion Battery Packs Based on Deep Deterministic Policy Gradient Algorithm by Zhi Zhang, Taijun Guo, Yefeng Liu, Xinfu Pang, Zedong Zheng

“…The model employs the deep deterministic policy gradient (DDPG) algorithm integrated with reward centralization and entropy regularization mechanisms, aiming to dynamically adjust the charging current to achieve an optimal balance between fast charging and battery health. …”
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La géographie selon LinkedIn. L’exemple de la région SUD. by Aurélia Bernard, Cyrille Genre-Grandpierre

“…Based on the user profiles, the platform's algorithm assigns them to a municipality, a sector, or a region, thus drawing up a spatial polarization. …”
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Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm by Liang Tian, Bohong Lai, Tianzhen Yang, Xingce Wang, Junhong Hao, Kaicheng Liu

“…Moreover, the genetic algorithm is introduced to optimize the system operation conditions under the given system structure parameters. …”
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