Multi-Objective Distributionally Robust Optimization for Earthquake Shelter Planning Under Demand Uncertainties by Kai Tang, Toshihiro Osaragi

“…The model aims to ensure that shelters are optimally located and evacuees are efficiently allocated, even under the most challenging scenarios. …”
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Optimal Activity Recognition Framework Based on Improvement of Regularized Neighborhood Component Analysis (RNCA) by Norazman Shahar, Muhammad Amir As'Ari, Tan Tian Swee, Nurul Fathia Ghazali

“…This study aims to investigate the alternative model structure based on a feature selection algorithm on multiple features-framework of human activity recognition (HAR) via wearable sensor-based modality. …”
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OPTIMIZING MOLECULAR TECHNIQUES FOR ACCURATE EXAMINATION OF LEPTOSPIRA SPECIES: A COMPREHENSIVE PRIMER FOR RESEARCHERS by Aldiana Astuti, Farida Dwi Handayani

“…Purpose: This research aims to identify the most suitable primers for the precise identification of pathogenic Leptospira strains. …”
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Optimization Model for Safeguarding Vulnerable Components in Integrated Energy Systems Based on Weighted Betweenness by ZHANG Chenwei, WANG Ying, LI Yaping, ZHANG Kaifeng

“…These strategies are subject to constraints such as protection requirements, budget limitations, and constraints on the types and quantities of new lines. The model optimization provides the optimal protection strategies within the allocated budget. …”
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Optimization of a company’s capital structure based on the criterion of minimizing the level of financial risk by Hanna Filatova, Viktoriya Kulyk, Olena Kravchenko

“…This paper aims to develop theoretical foundations for the existing capital structure optimization methods and elaborate an optimal capital structure formation strategy to ensure companies’ financial stability and flexibility in conditions of high financial uncertainty. …”
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Optimizing eDNA Metabarcoding Techniques for Assessing Arthropod Communities in Tree‐Related Microhabitats by Mohammad Jamil Shuvo, Tasmina Tabassum, Gernot Segelbacher

“…ABSTRACT Understanding the diversity and ecological roles of arthropods within tree‐related microhabitats (TreMs) is crucial for forest ecosystem conservation and management. In our study, we aimed to identify the most effective environmental DNA (eDNA) metabarcoding approach for capturing ecologically important arthropod species primarily inhabiting the near‐ground‐level TreMs. …”
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OPTIMIZING PROCESSOR WORKLOADS AND SYSTEM EFFICIENCY THROUGH GAME-THEORETIC MODELS IN DISTRIBUTED SYSTEMS by Merlan Telmanov, Zukhra Abdiakhmetova, Amandyk Kartbayev

“…Additionally, adaptive algorithms for dynamic task allocation are proposed, aimed at enhancing system flexibility and efficiency in real-time processing environments. …”
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Soy Sauce Fermentation with <i>Cordyceps militaris</i>: Process Optimization and Functional Profiling by Wanying Song, Xinyue Zhang, Huiyi Yang, Hanyu Liu, Baodong Wei

“…Using <i>C. militaris</i> as the sole starter culture, the process aimed to improve both nutritional and functional properties. …”
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Secure cloud computing: leveraging GNN and leader K-means for intrusion detection optimization by Raman Dugyala, Premkumar Chithaluru, M. Ramchander, Sunil Kumar, Arvind Yadav, N. Sudhakar Yadav, Diaa Salama Abd Elminaam, Deema Mohammed Alsekait

“…Additionally, the study introduces an optimized Grasshopper Optimization algorithm, which enhances the performance of the Optimal Neural Network, further refining detection accuracy. …”
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Optimization in Routing and Vehicle Selection for E-commerce Last Mile Logistics: Bibliometric Analysis by Sari Andarwati Kunharyanto, Ratna Mayasari, Dili Oktaviana

“…Background: The study investigates the emerging concept of Last Mile Logistics (LML), focusing on optimization routing for e-commerce deliveries. This research addresses the growing demand for efficient delivery systems driven by the rise of online shopping and technological advancements.Objective: This article aims to analyse existing literature, identify trends and highlight gaps in LML research.Methods: A systematic approach was used for the selection of studies and then bibliometric analysis was used to map and evaluate relevant studies. …”
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CURRENT STATE OF POPULATION OF GAME MAMMALS HABITING SHELKOVSKOY DISTRICT OF CHECHNYA AND WAYS FOR OPTIMIZATION by A. M. Batkhiyev, H. S. Yandakrhanov

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Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction by Ekaprana Wijaya, Moch. Arief Soeleman, Pulung Nurtantio Andono

“…This study aims to enhance price prediction accuracy using Artificial Neural Networks (ANN) by comparing three optimization methods: Stochastic Gradient Descent (SGD), Adam, and RMSprop. …”
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Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization by Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani

“…This experiment employs seven algorithms with hyperparameter optimization to obtain the best performance. Machine learning algorithms are used for classification and regression tasks. …”
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Optimized breast cancer diagnosis using self-adaptive quantum metaheuristic feature selection by Alok Kumar Shukla, Shubhra Dwivedi, Deepak Singh, Sunil Kumar Singh, Diwakar Tripathi, Ram Kishan Dewangan

“…Comparative results based on optimal computing time and performance are also offered to empirically analyze the traditional algorithms. …”
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Optimization Of Shell And Tube Cycle Recuperator Design In Organic Rankine Geothermal Power Plant by Muhammad Rifqi Dwi Septian

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Hybrid optimization for efficient 6G IoT traffic management and multi-routing strategy by J. Logeshwaran, Shobhit K. Patel, Om Prakash Kumar, Fahah Ahmed Al-Zahrani

“…Abstract Efficient traffic management solutions in 6G communication systems face challenges as the scale of the Internet of Things (IoT) grows. This paper aims to yield an all-inclusive framework ensuring reliable air pollution monitoring throughout smart cities, capitalizing on leading-edge techniques to encourage large coverage, high-accuracy data, and scalability. …”
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Optimization of Wear Process Parameters of Al6061-Zircon Composites Using Taguchi Method by R. Vijayakumar, J. S. Srikantamurthy, Shanawaz Patil, S. Rudresha, A. Manjunatha, T. Hemanth Raju, A. Haiter Lenin

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Population pharmacokinetics and dose optimization of voriconazole in patients with COVID-19-associated pulmonary aspergillosis by Hui Wang, Yue Shen, Xuemei Luo, Lu Jin, Huaijun Zhu, Jing Wang

“…ObjectivesThe study aimed to investigate the pharmacokinetic profile of voriconazole in patients with COVID-19-associated pulmonary aspergillosis (CAPA) to optimize dosing strategies.MethodsPopulation pharmacokinetic modeling was conducted using clinical data from CAPA patients to analyze voriconazole’s pharmacokinetic behavior. …”
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A Hierarchical Evolutionary Search Framework with Manifold Learning for Powertrain Optimization of Flying Vehicles by Chenghao Lyu, Nuo Lei, Chaoyi Chen, Hao Zhang

“…Subsequently, the approximate Pareto solutions generated by BO are utilized as initial populations for a non-dominated sorting genetic algorithm III (NSGA-III), which performs fine-grained refinement in the original high-dimensional design space. The co-optimization aims to minimize fuel consumption, battery state-of-health (SOH) degradation, and manufacturing costs while satisfying dynamic and energy management constraints. …”
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Application of a cross-functional approach to optimize the activities of a specialized vehicle depot by Elena A. Kaliberda, Ksenia V. Chemerilova, Olga G. Sheveleva

“…The article considers the possibility of using cross-functional approach to analyze and optimize motor transport enterprise’s business processes. …”
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