Case of granulomatosis with polyangiitis: optimal possibilities for rapid diagnosis in a multidisciplinary hospital by A. V. Novikova, N. G. Pravdyuk, E. I. Shmidt, A. P. Raksha, M. R. Mazra, A. R. Yunyaev, J. S. Zhulina

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Optimizing water management in greenhouse farming through an IoT-enabled monitoring system by Abdelrahman A. El-Sheshny, Amal M. Abdel-Hameed, M. A. Al-Rajhi, Hamed G. Ghanem, Taha M. Elzanaty, Mostafa H. Fayed

“…The Internet of Things model was constructed to be used in the permanent and continuous monitoring of plants through various measurements. The present study aimed to optimize water use, monitor environmental factors, and improve crop yield. …”
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Improving the Microenvironmental of Spring Soybean Culture and Increasing the Yield by Optimization of Water and Nitrogen by Lei Zhang, Hongbo Wang, Yang Gao, Weixiong Huang, Zhenxi Cao, Maosong Tang, Fengnian Zhao, Yuanhang Guo, Xingpeng Wang

“…Optimizing water and nitrogen management is an effective measure to reduce nitrogen fertilizer loss and environmental pollution risks. …”
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Optimal Coordinated Flood Control Scheduling of Three Gorges and Qingjiang Cascade Reservoirs by ZHAO Hui, ZHU Yu-xin, LIU Yuan, HUANG Bin, PANG Shu-sen, HUANG Di

“…By selecting combinations of different flood areas in the Three Gorges and Qingjiang river basins as model inputs, this study aims to establish a multi-objective joint flood control optimal scheduling model, with innovative optimization of the activation timing and utilization methods for the reservoir group’s flood control capacity. …”
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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

“…However, compared to other advanced manufacturing sectors, the mechanization, automation and intelligence of the stone processing industry remain relatively underdeveloped. This study aims to explore the optimal processing methods for stone industrial robots' grinding operations using BP neural networks and genetic algorithms, taking the processing of sandstone as an example.MethodsTaking the KUKA KR60L30HA industrial robot equipped with a brazed flat grinding head as the representative, the effects of different grinding process parameters on grinding force signals were systematically analyzed by the orthogonal test method. …”
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Optimizing Cardiac Monitoring Utilization in the Emergency Department for Patients Awaiting In-Hospital Beds by Renee Bradley, Edmund SH Kwok, Marie-Joe Nemnom, Venkatesh Thiruganasambandamoorthy

“… Purpose: Emergency department (ED) crowding is a growing crisis and beds with cardiac monitors are a very limited resource. This study aims to assess the use of cardiac monitoring among patients waiting in ED for inpatient bed, interventions due to monitoring, and identify risk factors for serious adverse events (SAE) to optimize the use of monitors. …”
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An Operation Optimization Strategy of the Combined Power Generation System with Wind Power & Pumped Storage Based on Improved Whale Algorithm by LI Kecheng, YANG Ning

“…In order to overcome the randomness and intermittency of wind power generation and maximize the use of wind energy, a power generation system combined with wind power generation and pumped storage is constructed. Aiming at its operation optimization problem, this paper comprehensively considers the utilization of wind energy, the impact on power grid and overall economic benefits, takes the maximization of wind power utilization, the minimization of grid connected power fluctuations and the maximization of the economic benefits of combined power generation as the optimization objectives, considers the constraints such as power balance of generator units and power grid, and establishes a three-objective optimization model of the wind power & pumped storage combined power generation system. …”
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Multi-Objective Optimization for the Low-Carbon Operation of Integrated Energy Systems Based on an Improved Genetic Algorithm by Yao Duan, Chong Gao, Zhiheng Xu, Songyan Ren, Donghong Wu

“…This paper proposes an improved genetic algorithm (IGA) designed to optimize the multi-objective low-carbon operations of IESs, aiming to minimize both operating costs and carbon emissions. …”
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FastSLAM-MO-PSO: A Robust Method for Simultaneous Localization and Mapping in Mobile Robots Navigating Unknown Environments by Xu Bian, Wanqiu Zhao, Ling Tang, Hong Zhao, Xuesong Mei

“…This paper introduces an innovative enhancement to the FastSLAM framework by integrating Multi-Objective Particle Swarm Optimization (MO-PSO), aiming to bolster the robustness and accuracy of SLAM in mobile robots. …”
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A bi-level optimization model for PET bottle recycling within a circular economy supply chain by Carlos Corpus, Ali Zahedi, Eva Selene Hernández-Gress, José-Fernando Camacho-Vallejo

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Risk-Adjusted Deep Reinforcement Learning for Portfolio Optimization: A Multi-reward Approach by Himanshu Choudhary, Arishi Orra, Kartik Sahoo, Manoj Thakur

“…However, choosing an optimal reward function poses a significant challenge for risk-averse investors aiming to maximize returns while minimizing risk or pursuing multiple investment objectives. …”
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System Optimization of Talent Life Cycle Management Platform Based on Decision Tree Model by Jiaonan Han

“…Combining the construction goals and principles of the talent supply chain management system, this study constructs the overall framework and operational process of the enterprise talent supply chain management system based on the decision tree model from the overall level and the operational level. Aiming at the enterprise’s talent management problems, it focuses on designing integrated management, flexible management, talent information integrated management, and evaluation and optimization management models to ensure that the constructed system is operable and measurable and can achieve dynamic optimization. …”
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Revolutionizing Open-Pit Mining Fleet Management: Integrating Computer Vision and Multi-Objective Optimization for Real-Time Truck Dispatching by Kürşat Hasözdemir, Mert Meral, Muhammet Mustafa Kahraman

“…Through the integration of computer vision and multi-objective optimization, it seeks to enhance operational efficiency and optimize fleet management in open-pit mining. …”
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Joint Optimization of Wireless Charging Station Location and Operation Scheduling for Electric Buses Under Uncertain Demand by Jiacheng Li, Masato Noto, Yang Zhang, Jia Guo

“…The model aims to minimize both user travel costs and transit operation costs by jointly optimizing departure schedules across different time periods, electric bus assignments, and wireless charging station placement. …”
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Development of a Design Procedure Combining Topological Optimization and a Multibody Environment: Application to a Tram Motor Bogie Frame by Alessio Cascino, Enrico Meli, Andrea Rindi

“…In this context, the present research activity aims to develop a fast and effective desin procedure based on European reference standards. …”
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Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems by Mahzabeen Emu, Taufiq Rahman, Salimur Choudhury, Kai Salomaa

“…This predictive capability allows the following vehicles to adjust their behaviours dynamically. By doing so, we aim to optimize control strategies and maintain string stability within vehicle platoons. …”
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Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement by Ehsanolah Assareh, Reza Poultangari

“…In fact, optimizers utilized for calculating the neuron number of hidden layer in RBFNN at optimal level. …”
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A review of mixed-integer linear formulations for framework-based energy system models by Maximilian Hoffmann, Bruno U. Schyska, Julian Bartels, Tristan Pelser, Johannes Behrens, Manuel Wetzel, Hans Christian Gils, Chuen-Fung Tang, Marius Tillmanns, Jan Stock, André Xhonneux, Leander Kotzur, Aaron Praktiknjo, Thomas Vogt, Patrick Jochem, Jochen Linßen, Jann M. Weinand, Detlef Stolten

“…Optimization-based frameworks for energy system modeling such as TIMES, ETHOS.FINE, or PyPSA have emerged as important tools to outline a cost-efficient energy transition. …”
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Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…This study introduces a real-world metaheuristic application designed to minimize the simulation errors of a novel one-dimensional (1D) numerical model of a rotary cement kiln, calibrated by Computational Fluid Dynamics (CFD) results. This model aims to significantly reduce simulation time, facilitating the analysis of multiple scenarios. …”
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Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Youtao Xue, Yuxin Yang, Shaobo Yao, Wenwen Zhao, Lihua Chen

“…The current challenges encountered in Surrogate-Based Optimization (SBO) primarily stem from the substantial number of function calls essential for accurate evaluations. …”
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