Optimality and Duality for Multiobjective Fractional Programming Involving Nonsmooth Generalized (ℱ,b,ϕ,ρ,θ)-Univex Functions by Jen-Chwan Liu, Chun-Yu Liu

“…We establish properly efficient necessary and sufficient optimality conditions for multiobjective fractional programming involving nonsmooth generalized (ℱ,b,ϕ,ρ,θ)-univex functions. …”
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Optimal Suppression of Photocatalytic Activity of Hybrid TiO2 Particles in Epoxy Thin Film by Using Taguchi Method by Sunderishwary S. Muniandy, Tan Sek Soon, Swee Yong Pung, Sivakumar Ramakrishnan

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Cost-Efficient Network Design in Multichannel WSNs With Power Control: A Grey Wolf Optimization Approach to Routing and Clustering by Mohammad-Salar Shahryari, Leili Farzinvash, Mohammad-Reza Feizi-Derakhshi

“…Wireless sensor networks (WSNs) require optimized energy consumption and an improved packet delivery ratio (PDR) for optimal performance. …”
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Optimal adjustment of deep neural network parameters in estimating lost vital sign data in body wireless sensor networks by Aboulfazl Ebrahimi, Mahboubeh Shamsi, Morteza Mohajjel

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HIV/AIDS and HBV co-infection with optimal control strategies and cost-effectiveness analyses using integer order model by Shewafera Wondimagegnhu Teklu, Abushet Hayalu Workie

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Lightweight and Efficient CSI-Based Human Activity Recognition via Bayesian Optimization-Guided Architecture Search and Structured Pruning by Sungkwan Youm, Sunghyun Go

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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

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Optimization of Processing Parameters for Extraction of Amylase Enzyme from Dragon (Hylocereus polyrhizus) Peel Using Response Surface Methodology by Mehrnoush Amid, Mohd Yazid Abdul Manap, Norkhanani Zohdi

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Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform by Jan Benedict Spannenkrebs, Aron Eiermann, Thomas Zoll, Silke Hackenschmidt, Johannes Kabisch, Johannes Kabisch, Johannes Kabisch

“…This is followed by an optimizer that selects the next measurement points based on a balance between exploration and exploitation. …”
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Optimization of Fault Identification and Location Using Adaptive Neuro-Fuzzy Inference System and Support Vector Machine for an AC Microgrid by A. Kurmaiah, C. Vaithilingam

“…The proposed adaptive neuro-fuzzy inference system method recognizes the optimal fault type. At the same time, Support vector machine identifies fault location accurately, resulting in the shortest execution time and minimal error percentage. …”
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Location optimization of urban fire stations considering the variations in fire service demands: a bi-objective coverage model by Yulong Chen, Jing Yao, Shaohua Wang, Zhizhu Lai, Leying Wu, Guanpeng Dong

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Optimization of the Process for Defatting Sea Cucumber Powder by Supercritical CO2 Extraction and Its Effect on Volatile Flavor Compounds by Gongming WANG, Hui HUANG, Yuzhu DING, Jinglin XUE, Zhiqiang SHU, Yuexin JING, Chunna JIAO, Jian ZHANG

“…In this study, supercritical CO2 extraction conditions for sea cucumber powder were optimized using single factor and orthogonal experimental design, with defatting rate as an indicator. …”
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Investigating the Effects of Optimized Mineral Fertilization on Plant Growth, Physiological Traits, Tuber Yield, and Biochemical Contents of Potato Crop by Hadjer Chabani, Neji Tarchoun, Roua Amami, Wassim Saadaoui, Najla Mezghani, Alexios A. Alexopoulos, Spyridon A. Petropoulos

“…‘Spunta’ subjected to optimal fertilizer rate (T1), while more than 50% of tubers of this variety were classified as size C1 (>50 mm). …”
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Assessing and optimizing the potential for climate change mitigation and carbon sequestration in urban residential green spaces: energizing sustainable cities by Hancheng Liu, Jialong Zhang, Zijun Wang

“…This study aimed to evaluate the carbon sequestration potential of common plant species in urban residential areas and provide recommendations for optimizing green space design and management.MethodsThe research was conducted in four residential areas of Nanjing, China, where key growth parameters of 20 plant species, including evergreen trees, deciduous trees, evergreen shrubs, and deciduous shrubs, were measured. …”
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Rotor Cascade Shape Optimization with Unsteady Passing Wakes Using Implicit Dual-Time Stepping and a Genetic Algorithm by Eun Seok Lee, George S. Dulikravich, Brian H. Dennis

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A new RP-HPLC method as an auxiliary tool for optimization of sample preparation procedures for tracing of PPCPs of different hydrophilicities by Portillo-Castillo Omar J., Castro-Ríos Rocío, Chávez-Montes Abelardo, González-Horta Azucena, Cavazos-Rocha Norma, De Torres Noemí Waksman, Garza-Tapia Marsela

“…To facilitate the optimization of the procedures that are applied in the early stages of sample preparation, a simple and fast HPLC method is proposed in this work for the separation of some PPCPs with a wide range of hydrophilicity. …”
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Optimization of Process Parameters for Friction Stir Welding of Different Aluminum Alloys AA2618 to AA5086 by Taguchi Method by G. Sasikala, V. M. Jothiprakash, Bhasker Pant, R. Subalakshmi, M. Thirumal Azhagan, K. Arul, Wadi B. Alonazi, M. Karnan, S. Praveen Kumar

“…Runs with the ideal settings confirmed the projected optimal tensile strength value. A wide range of process parameters can be used to generate high-quality joints, according to this study. …”
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Mode Optimization and Rule Management of Intellectual Property Rights Protection of Educational Resource Data Based on Machine Learning Algorithm by Jiawei Cao

“…On the basis of summarizing and analyzing previous research works, this paper expounded the current research status and significance of intellectual property expression and protection of educational resource data; elaborated the development background, current status, and future challenges of machine learning technology; introduced the methods and principles of data classification algorithm and protection authority identification; performed the technical framework design and expression system establishment of the intellectual property expression of educational resource data based on machine learning; analyzed the mode optimization and rule management of intellectual property protection of educational resource data based on machine learning; and finally conducted a simulation experiment and its result analysis. …”
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Applying BIM and pedestrian simulation for architectural flow line optimization in subway stations: an empirical analysis at Chongqing Ranjiaba Station by Xian Li, Ziyi Zhao, Xudong Zeng

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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

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