Experience of Steam and Gas Unit Running-In at the Orsha Thermal Power Station by A. D. Kachan, S. A. Kachan, G. N. Korolev, O. S. Makaev, K. I. Putilo

“…The paper contains results of the regime optimization and research in respect of higher operational efficiency of steam and gas unit under partial thermal loadings.…”
Get full text

On the Hadamard Well-Posedness of Generalized Mixed Variational Inequalities in Banach Spaces by Lu-Chuan Ceng, Yeong-Cheng Liou, Ching-Feng Wen, Hui-Ying Hu, Long He, Yun-Ling Cui

Get full text

Minimization of Vectors of Curvilinear Functionals on Second-Order Jet Bundle: Dual Program Theory by Mihai Postolache

“…They have chosen the suitable framework offered by the second-order jet bundle, and initiated an optimization theory for this class of problems by introducing necessary conditions. …”
Get full text

ECOLOGICALLY ORIENTED MATHEMATICAL MODELS OF RISK MANAGEMENT AND SAFETY by I. Gvozdkova

“…The article analyzes different variants of application of game theory, linear and nonlinear programming methods for optimal eco-oriented solutions in the field of risk management and overall safety. …”
Get full text

Reconstruction of a Сommunicative Stereotype as Source of Information on Identification Mechanisms of Cultures of England and Germany by E. E. Rybakova

“…As communicative stereotype is a source of information about axiolgical constituent part of «cultural code», its reconstruction on different levels of existence including its consideration in “the mirror” of another culture is an important means of optimization of cross-cultural interaction.…”
Get full text

Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method by Jinyoung Choi, Hyunjoon Jeong, Sangmin Woo, Hyungmin Cho, Yohan Kim, Jeong-Taek Kong, Soyoung Kim

“…In addition, we develop a bin size optimization guideline for the binning-ANN. As a result, the binning-ANN not only has higher accuracy, but also much better expandability than existing methods.…”
Get full text

Enhancing Infection Control in ICUS Through AI: A Literature Review by Aditya Amit Godbole, Paras, Maanya Mehra, Sumitaksha Banerjee, Poulami Roy, Novonil Deb, Sarang Jagtap

“…Objectives The primary objectives are to explore AI's impact on predicting HAIs, real‐time monitoring, automated sterilization, resource optimization, and personalized infection control plans. …”
Get full text

Cooperative maximum adhesion tracking control for multi-motor electric locomotives by Leiting Zhao, Yongxiang Wang, Kan Liu, Liran Li, Jingyuan Zhan, Qingliang Liu

“…The method is intended to optimize the output torque of each motor, maximize the utilization of train adhesion within the total torque command, reduce the train skidding/sliding phenomenon and achieve optimal adhesion utilization for each axle, thus realizing the optimal allocation of the multi-motor electric locomotives. …”
Get full text

Learning “How to Learn”: Super Declarative Motor Learning Is Impaired in Parkinson’s Disease by Lucio Marinelli, Carlo Trompetto, Stefania Canneva, Laura Mori, Flavio Nobili, Francesco Fattapposta, Antonio Currà, Giovanni Abbruzzese, Maria Felice Ghilardi

“…Patients with PD lacked such improvement, suggesting defective performance optimization processes.…”
Get full text

Modeling crowd dynamics through coarse-grained data analysis by Sebastien Motsch, Mehdi Moussaïd, Elsa G. Guillot, Mathieu Moreau, Julien Pettré, Guy Theraulaz, Cécile Appert-Rolland, Pierre Degond

“…The BM model, therefore, could serve as a building block to develop on the fly prediction of crowd movements and help deploying real-time crowd optimization strategies.…”
Get full text

Autonomous sortie scheduling for carrier aircraft fleet under towing mode by Zhilong Deng, Xuanbo Liu, Yuqi Dou, Xichao Su, Haixu Li, Lei Wang, Xinwei Wang

Get full text

Conceptual model of sustainable development of pedagogical staff competences in quality assurance of higher education by Andrii Biloshchytskyi, Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Yurii Andrashko, Aidos Mukhatayev, Khanat Kassenov

“…In order to reduce the risks of failing to pass the course, some participants of the competence project proposed to form a pool of potential project participants. Methods of optimization theory were used to solve the problem of selecting participants in the competence project. …”
Get full text

Multibeam Compact Reflectarray Antenna With Low Scan Loss and Wide-Angle Performance Using a Multi-Feed Configuration by Andres Gomez-Alvarez, Alvaro F. Vaquero, Manuel Arrebola, Marcos Rodriguez Pino

“…They are designed using an iterative optimization process based on a phase-only optimization (POO) which allows fine control over the gain for each beam. …”
Get full text

Accelerating AI-Based Battery Management System’s SOC and SOH on FPGA by Satyashil D. Nagarale, B. P. Patil

“…We utilized various gradient descent optimization algorithms with adaptive and constant learning rates with other default parameters. …”
Get full text

Smart surgical telementoring system with patch-to-pixel point tracking method by Yanwei Qu, Ling Li, Tongtong Li, Jieyu Zheng, Wentao Tang, Xiaojian Li

Get full text

A review on challenges and future of green charging networks for zero emission electric transportation by Ijaz Ahmed, Muhammad Maaruf, Amjad Ali, Mohammad AlMuhaini, Muhammad Khalid

“…This study provides a comprehensive analysis of various important aspects related to electric automobile (EA) navigation, EA recharging planning, design optimization and deployment of EA recharging facilities, and the complexities of power or demand optimization. …”
Get full text

Bicyclic peptide-enhanced covalent inhibitor of SARS-CoV-2 3CL protease by Qian Wang, Yanhui Wang, Jian Li, Hong Liu, Shiyu Chen

“…Medicinal chemistry optimization was conducted to improve the potency of these peptides. …”
Get full text

Selective Ensemble Learning Method for Belief-Rule-Base Classification System Based on PAES by Wanling Liu, Weikun Wu, Yingming Wang, Yanggeng Fu, Yanqing Lin

“…In the base classifier selection stage, the trained base classifier is binary coded, and the number of base classifiers participating in integration and generalization error of the base classifier is used as the objective function for multi-objective optimization. Finally, the elite retention strategy and the adaptive mesh algorithm are adopted to produce the PAES optimal solution set. …”
Get full text

Development and Application of Well-Test Model after Injection Biological Nanomaterials by Qing Feng, Ping Gao, Xianchao Chen, Jiang Li, Jingchao Zhou, Feng Qian, Shengsheng Li, Yanni Sun, Yingying Wang

Get full text

Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing by Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

“…Heterogeneous Earliest First Deadline, Cat Swarm Optimization, Ant Colony Optimization. Results revealed that our proposed MOPDSWRL outperforms existing state of art algorithms by minimizing makespan, energy consumption.…”
Get full text