Deep-reinforcement-learning-based hull form optimization method for stealth submarine design by Sang-Jae Yeo, Suk-Yoon Hong, Jee-Hun Song

“…In this study, an optimization method based on Deep Reinforcement Learning (DRL) was developed to design submarine hull forms, aimed at maximizing the stealth performance. …”
Get full text

Optimizing Combined Heat and Power Economic Dispatch Using a Differential Evolution Algorithm by Mahender K., Rao Gundala Srinivasa, Kamalakar Gangula, Venkateshwarlu S., Polasa Swathi, Pulluri Harish

“…The electrical load dispatch (ELD) optimizes the scheduling of various power plants to deliver the necessary power at the lowest operational cost. …”
Get full text

Blockchain-enabled KYC integration for CLV optimization with robust M-Estimation and IRLS method by Marischa Elveny, Mahyuddin K.M. Nasution, Fanindia Purnamasari, Tengku Siti Meriam Tengku Wook

“…This research introduces an innovative approach in implementing Know Your Customer (KYC) on blockchain technology as a means of using data, hybrid robust m-estimation, and the iteratively reweighted less squares (IRLS) method to optimize CLV data. This approach aims to improve the accuracy and reliability of CLV predictions by ensuring the security and reliability of customer data. …”
Get full text

Layout Methods for Integrated Energy Supply Service Stations from the Perspective of Combination Optimization by Zhenjun Zhu, Chaoxu Sun, Yudong He, Jiayan Shen, Jingrui Sun

“…This method aims to further coordinate and optimize the combination of various energy supply stations to achieve global optimization of the energy supply service system. …”
Get full text

Multiobjective Optimal Control of Longitudinal Seismic Response of a Multitower Cable-Stayed Bridge by Geng Fangfang, Ding Youliang

“…The study is based on the dynamic finite element model of the Jiashao Bridge, a six-tower cable-stayed bridge in China. The prime aim of the study is to investigate the effectiveness of viscous fluid dampers on the longitudinal seismic responses of the bridge and put forth a multiobjective optimization design method to determine the optimized parameters of the viscous fluid dampers. …”
Get full text

Optimized monopolar-radiofrequency based protocol for non-invasive facial tightening, lifting, and contouring by So Eun Kim

“…Monopolar radiofrequency (MRF) has gained widespread use as a non-invasive method for improving skin laxity, lifting, and contouring. This study aimed to present the clinical efficacy of a novel MRF device (CELLINEW) and demonstrate optimized application techniques and combination protocols. …”
Get full text

Optimal design for parameter estimation in EEG problems in a 3D multilayered domain by H. T. Banks, D. Rubio, N. Saintier, M. I. Troparevsky

Get full text

Formulation development, optimization, and evaluation of fast-dispersing tablets of cefixime trihydrate for pediatric use by Christine Philip, Shahnaz Usman, Muhammad Akram, Quamrul Islam

“…The proposed study aimed to formulate and optimize the design of a fast-dispersing tablet (FDT) of cefixime trihydrate (dispersed in a teaspoon of water) tailored for pediatric patients (0–12 years). …”
Get full text

Optimization Of Digital Library Services Using Artificial Intelligence (Ai): Approach To Green Library by Aghesna Rahmatika Kesuma, Julian Hadi Saputra, Eni Amaliah, Rahmat Iqbal

“… Applying artificial intelligence (AI) in digital libraries can enhance operational efficiency and facilitate the implementation of green library concepts. This study aims to explore the potential of AI technology to optimize digital library services and support environmentally friendly principles. …”
Get full text

Impact of multiple consultations and switching in treatment-seeking in tuberculosis: Mathematical modelling and optimal control. by Preeti Saini, Samit Bhattacharyya

“…By synthesizing data from various empirical studies, we develop an intricate mathematical model of such multiple consultations and aim to quantify the impact of such behavioural interactions on disease burden. …”
Get full text

Optimal control and cost-effectiveness analysis for COVID-19 and tuberculosis co-infection model by S. Nivetha, Mini Ghosh

“…To obtain control strategies, we develop an optimal control framework incorporating four interventions aimed at reducing disease prevalence. …”
Get full text

Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…The detection of such manipulations in images has great demand in legal evidence, forensic investigation, and many other fields. The paper aims to present copy-move forgery detection algorithms with the help of advanced feature descriptors, such as local ternary pattern, local phase quantization, local Gabor binary pattern histogram sequence, Weber local descriptor, and local monotonic pattern, and classifiers such as optimized support vector machine and optimized NBC. …”
Get full text

Optimizing makespan and resource utilization in cloud computing environment via evolutionary scheduling approach. by Faten K Karim, Sara Ghorashi, Salem Alkhalaf, Saadia H A Hamza, Anis Ben Ishak, S Abdel-Khalek

“…In the EASA-MORU technique, the dung beetle optimization (DBO) technique is used for scheduling purposes. …”
Get full text

An Evolutionary Learning Whale Optimization Algorithm for Disassembly and Assembly Hybrid Line Balancing Problems by Xinshuo Cui, Qingbo Meng, Jiacun Wang, Xiwang Guo, Peisheng Liu, Liang Qi, Shujin Qin, Yingjun Ji, Bin Hu

“…Furthermore, many companies aim to establish their own closed-loop supply chains, encouraging the integration of disassembly and assembly lines into a unified closed-loop production system. …”
Get full text

Optimization of Biodiesel Synthesis from Avocado Seeds Using Response Surface Methodology (RSM) by Priscillia stevanies Nicander, Srie Muljani, Apriandi Putra Darma

“…The synthesis of biodiesel from avocado seed oil has been successfully conducted. This study aimed to determine the optimized parameters for the transesterification reaction using Response Surface Methodology (RSM). …”
Get full text

Energy equivalent consumption and optimization strategies for hybrid hydrogen fuel systems in multirotor drones by Xiangyu Zhang, Yong Zhang, Xin Wang, Tingting Ru, Chenxiao Cai

“…This paper presents an improved Equivalent Consumption Minimization Strategy (ECMS) designed to optimize energy management for the hybrid hydrogen fuel power setups in multirotor drones. …”
Get full text

An application of potential function in robot path planning and three optimized formulas for equivalent resistance by Jianwei Dai, Xiaoyu Jiang, Yanpeng Zheng, Xing Zhang, Zhaolin Jiang

Get full text

A Cost Optimization Model for Multiresource Leveling Problem without Project Duration Constraint by Qingyou Yan, Qian Zhang, Xin Zou

“…This paper proposes an optimization model for the multiresource leveling problem. …”
Get full text

A Framework for Optimizing Deep Learning-Based Lane Detection and Steering for Autonomous Driving by Daniel Yordanov, Ashim Chakraborty, Md Mahmudul Hasan, Silvia Cirstea

“…Improving the ability of autonomous vehicles to accurately identify and follow lanes in various contexts is crucial. This project aims to provide a novel framework for optimizing a self-driving vehicle that can detect lanes and steer accordingly. …”
Get full text

Mathematical Model to Estimate and Predict the COVID-19 Infections in Morocco: Optimal Control Strategy by Omar Zakary, Sara Bidah, Mostafa Rachik, Hanane Ferjouchia

“…In this paper, we aim to estimate and predict the situation of the new coronavirus pandemic (COVID-19) in countries under quarantine measures. …”
Get full text