OPTIMAL PORTFOLIO FORMATION USING MEAN VARIANCE EFFICIENT PORTFOLIO AND CAPITAL ASSET PRICING MODEL WITH ARTIFICIAL NEURAL NETWORK AS STOCK SELECTION METHOD by Emy Siswanah, Siti Maslihah, Agustina Anggraini, Muhammad Malik Hakim

“…This study aims to determine the performance of an optimal portfolio formed using ANN as a stock selection method and MVEP (Mean-Variance Efficient Portfolio) and CAPM (Capital Asset Pricing Model) to determine stock weights. …”
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IMPACT OF ECHOCARDIOGRAPHIC OPTIMIZATION OF RESYNCHRONIZATION PACE-MAKER USING DIFFERENT PACING MODALITIES AND ATRIOVENTRICULAR DELAYS ON ACUTE HEMODYNAMIC RESPONSE AND LONG TERM P... by Sonja Salinger-Martinovic, Svetlana Apostolovic, Milan Pavlovic, Teodora Stanojlovic, Milan Zivkovic, Tomislav Kostic, Dragana Stanojevic, Nenad Bozinovic

“…The aim of study was to examine acute hemodynamic changes with different of CRT device modalities throughout optimization procedure and its impact on one year prognosis.Material and methods. …”
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Network topology optimization by turning non-scale-free networks into scale-free networks using nonlinear preferential rewiring method by Feng Su, Peijiang Yuan, Yuanwei Liu, Shuangqian Cao

“…In this research, we optimize the topology of non-scale-free networks by turning it into scale-free networks using a nonlinear preferential rewiring method. …”
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Optimal Baseflow Separation Through Chemical Mass Balance: Comparing the Usages of Two Tracers, Two Concentration Estimation Methods, and Four Baseflow Filters by Yiwen Mei, Dagang Wang, Jinxin Zhu, Guoping Tang, Chenkai Cai, Xinyi Shen, Yi Hong, Xinxuan Zhang

“…To execute this baseflow separation, three key components are needed: The tracer, the method to estimate tracer concentration in different flow components, and the empirical baseflow filter. …”
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Species Differences of Imperative Mood of Russian Verbs in the Linguodidactic Aspect by E. A. Bazhenova, C. Celone

“…In this paper, the authors underline the need to develop a new approach to explain the differences and the correct use of imperative aspects used at the imperative mood, starting from the analysis of the directive speech acts linguopragmatic characteristics and based on the algorithmic learning method. …”
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Optimization via Taguchi of Artificial Lightweight Aggregates Obtained from Kaolinite Clay and Ceramic Waste: Development and Industrial Applications by José Anselmo da Silva Neto, Marcos Alyssandro Soares dos Anjos, Ricardo Peixoto Suassuna Dutra, Maelson Mendonça de Souza, Cinthia Maia Pederneiras

“…Thus, the aim was to develop and optimize LWAs using different replacements of industrial waste. …”
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Fine-tuning optimization of poly lactic acid impact strength with variation of plasticizer using simple supervised machine learning methods by Jaka Fajar Fatriansyah, Elvi Kustiyah, Siti Norasmah Surip, Andreas Federico, Agrin Febrian Pradana, Aniek Sri Handayani, Mariatti Jaafar, Donanta Dhaneswara

“…Three machine learning (ML) methods were used to fine-tune and optimize the impact strength of polylactic acid (PLA) with different plasticizers: KNN (K-nearest neighbors), SVR (Support Vector Regression), and ANN (artificial neural networks). …”
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Optimization and comparative evaluation of optical and photocatalytic properties of TiO2 thin films prepared via sol–gel method by Mohd. Danish, Subia Ambreen, Arti Chauhan, Ashutosh Pandey

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Bioactivity of Juglans regia kernel extracts optimized using response surface method and artificial neural Network-Genetic algorithm integration by Ayşenur Gürgen

“…Abstract In this study, the biological activities of the extracts obtained under optimum extraction conditions of the kernel part of Juglans regia L. were determined. Two different methods, Response Surface Method (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) integration, were used for optimization. …”
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A Comprehensive Analysis Perspective on Path Optimization of Multimodal Electric Transportation Vehicles: Problems, Models, Methods and Future Research Directions by Wenxin Li, Yuhonghao Wang

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Optimization of Post-Tensioned Box Girder Bridges with Special Reference to Use of High-Strength Concrete Using AASHTO LRFD Method by Byungik Chang, Kamal Mirtalaei, Seungyeol Lee, Kenneth Leitch

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IHDETBO: A Novel Optimization Method of Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing by Li-Nan Zhu, Peng-Hang Li, Xiao-Long Zhou

“…In this paper, a new manufacturing service composition scheme named as Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing (MBSPHE-CSCCM) is proposed, and such composition is one of the most difficult combination optimization problems with NP-hard complexity. To address the problem, a novel optimization method named as Improved Hybrid Differential Evolution and Teaching Based Optimization (IHDETBO) is proposed and introduced in detail. …”
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Identification of Control Parameters Using Taguchi Method for Hybrid Real-Binary Differential Evolution Algorithm and Its Applications in Electromagnetic Optimization by Wenchao Du, Jianhui Wang, Ruidong Wang, Xingning Jia, Guoche Qin, Chunshu Li

“…However, its optimization performance on different control parameter (CP) settings is not further studied, and the method to determine the values of CPs is more likely to use the trial-and-error method, which lacks universality on both unimodal and multimodal benchmarks. …”
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Aeration system optimization for a deep bed dryer for paddy grain using computational fluid analysis and the AHP-TOPSIS method by Diswandi NURBA, Sutrisno S. MARDJAN, Dyah WULANDANI, Leopold O. NELWAN, I Dewa Made SUBRATA

“…This analysis aimed to determine the most optimal aeration system by using computational fluid dynamics (CFD) and the AHP-TOPSIS method. …”
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A Comparative Investigation on Powder Mixed EDM Machining of Steel Alloys with Multi-Objective Optimization Using Fuzzy-TOPSIS Method by Md Nadeem Alam, Mohd Atif Wahid, Raghib Ahsan, Naveen Kumar, Shoaib Sabri

“…The study also employs a multi-optimization technique using the Fuzzy-based TOPSIS method to investigate the cumulative effects of the control parameters on performance indicators, namely Ra, MRR, and TWR. …”
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Non-Destructive Detection Method of Apple Watercore: Optimization Using Optical Property Parameter Inversion and MobileNetV3 by Zihan Chen, Haoyun Wang, Jufei Wang, Huanliang Xu, Ni Mei, Sixu Zhang

“…Current methods for detecting apple watercore are expensive and potentially damaging to the fruit. …”
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Interactive optimization scheduling method for distribution network and charging stations based on fuzzy logic and multi-strategy serial implementation mechanism by Ping Dong, Kunming Sui, Mingbo Liu, Run He, Shiqi Liu, Wu Xie, Sai Zhang

“…Next, the PSO (Particle Swarm Optimization) algorithm is used to minimize the difference between the optimized total load and peak load control targets and the aggregator’s incentive cost, resulting in the optimized charging power of each electric vehicle and the corresponding incentive price. …”
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A quality-by-design optimized LC method for navigating degradation kinetics and quantification of favipiravir in the presence of degradation products and manufacturing impurities by Adel Ehab Ibrahim, Mohamed Farouk, Samy G. Alamir, Baher I. Salman, Tarek S. Belal, Sami El Deeb, Ahmed Al-Harrasi

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Composition and Injection Rate Co-Optimization Method of Supercritical Multicomponent Thermal Fluid Used for Offshore Heavy Oil Thermal Recovery by Shenyao Yang, Zhilin Qi, Jie Tian, Mingda Dong, Wei Zhang, Wende Yan

“…To fill this gap, a reaction molecular dynamics simulation method was used to simulate thermal fluid generation under different temperatures, pressures, and organic mass concentrations. …”
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Online Attentive Kernel-Based Off-Policy Temporal Difference Learning by Shangdong Yang, Shuaiqiang Zhang, Xingguo Chen

“…This framework uses two-timescale optimization. In the slow-timescale, a sparse representation of state features is learned using an online attentive kernel-based method. …”
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