FORMULATION AND OPTIMIZATION OF DOMPERIDONE-LOADED LIQUID SNEDDS: CHARACTERIZATION AND IN-VITRO EVALUATION by Sara Rassol, Adnan Burhan Qader

“… This research concentrated on developing and optimizing domperidone-loaded Self- nanoemulsifying drug delivery system (SNEDDS) to enhance solubility, stability, and availability. …”
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Adaptive Dynamic Programming with Reinforcement Learning on Optimization of Flight Departure Scheduling by Hong Liu, Song Li, Fang Sun, Wei Fan, Wai-Hung Ip, Kai-Leung Yung

Subjects: “…constrained integer optimization…”
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Optimized YOLOv8 framework for intelligent rockfall detection on mountain roads by Peng Peng, Langchao Gao, Jiachun Li, Hongzhen Zhang

“…To enable efficient detection, this study proposes a rockfall detection system based on embedded technology and an improved Yolov8 algorithm, termed Yolov8-GCB. …”
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IDS alert clustering algorithm based on chaotic particle swarm optimization by Xiao-bo XU, Qin-qin JIANG, Kang-feng ZHENG, Bin WU, Yi-xian YANG

“…In order to improve the quality of alerts in intrusion detection system (IDS) and reduce the large number of redundant alarms, an IDS alerts clustering algorithm based on chaotic particle swarm optimization was proposed.It made the motion of particles with characteristics of chaos,so as to make particles move between the state of chaos and stable, and gradually close to the optimal value. …”
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Dynamic Optimization of Xylitol Production Using Legendre-Based Control Parameterization by Eugenia Gutiérrez, Marianela Noriega, Cecilia Fernández, Nadia Pantano, Leandro Rodriguez, Gustavo Scaglia

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Chaotic Mountain Gazelle Optimizer Improved by Multiple Oppositional-Based Learning Variants for Theoretical Thermal Design Optimization of Heat Exchangers Using Nanofluids by Oguz Emrah Turgut, Mustafa Asker, Hayrullah Bilgeran Yesiloz, Hadi Genceli, Mohammad AL-Rawi

Subjects: “…Mountain Gazelle Optimizer…”
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Optimizing Sustainable Energy Transitions in Small Isolated Grids Using Multi-Criteria Approaches by César Berna-Escriche, Lucas Álvarez-Piñeiro, David Blanco, Yago Rivera

“…Using EnergyPLAN software, three scenarios for 2023 were modeled: a diesel-only system, the current hybrid renewable system, and an optimized scenario. …”
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Sustainable Optimization of the Injection Molding Process Using Particle Swarm Optimization (PSO) by Yung-Tsan Jou, Hsueh-Lin Chang, Riana Magdalena Silitonga

“…This study presents a breakthrough in sustainable injection molding by uniquely combining a backpropagation neural network (BPNN) with particle swarm optimization (PSO) to overcome traditional optimization challenges. …”
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End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

“…Microgrids, as one of the effective methods for integrating new energy sources, play a crucial role in the new-type power systems. In microgrids with high renewable energy penetration, the objectives of renewable energy power forecasting and microgrid optimal scheduling may be misaligned. …”
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Adaptive Particle Swarm Optimization with Landscape Learning for Global Optimization and Feature Selection by Khalil Abbal, Mohammed El-Amrani, Oussama Aoun, Youssef Benadada

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Machine Learning and Deep Learning Optimization Algorithms for Unconstrained Convex Optimization Problem by Kainat Naeem, Amal Bukhari, Ali Daud, Tariq Alsahfi, Bader Alshemaimri, Mousa Alhajlah

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AUGUR, a flexible and efficient optimization algorithm for identification of optimal adsorption sites by Ioannis Kouroudis, Poonam, Neel Misciasci, Felix Mayr, Leon Müller, Zhaosu Gu, Alessio Gagliardi

“…Abstract In this paper, we propose a novel flexible optimization pipeline for determining the optimal adsorption sites, named AUGUR (Aware of Uncertainty Graph Unit Regression). …”
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GWO-FNN: Fuzzy Neural Network Optimized via Grey Wolf Optimization by Paulo Vitor de Campos Souza, Iman Sayyadzadeh

“…This study introduces the GWO-FNN model, an improvement of the fuzzy neural network (FNN) architecture that aims to balance high performance with improved interpretability in artificial intelligence (AI) systems. The model leverages the Grey Wolf Optimizer (GWO) to fine-tune the consequents of fuzzy rules and uses mutual information (MI) to initialize the weights of the input layer, resulting in greater classification accuracy and model transparency. …”
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Particle Swarm Optimization Algorithm with Multiple Phases for Solving Continuous Optimization Problems by Jing Li, Yifei Sun, Sicheng Hou

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Multi scenario chaotic transient search optimization algorithm for global optimization technique by Ibrahim Mohamed Diaaeldin, Hany M. Hasanien, Mohammed H. Qais, Saad Alghuwainem, Othman A. M. Omar

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Enhanced Dung Beetle Optimizer-Optimized KELM for Pile Bearing Capacity Prediction by Bohang Chen, Mingwei Hai, Gaojian Di, Bin Zhou, Qi Zhang, Miao Wang, Yanxiu Guo

“…The safety associated with the bearing capacity of pile foundations is intrinsically linked to the overall safety, stability, and economic viability of structural systems. In response to the need for rapid and precise predictions of pile bearing capacity, this study introduces a kernel extreme learning machine (KELM) prediction model optimized through a multi-strategy improved beetle optimization algorithm (IDBO), referred to as the IDBO-KELM model. …”
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Novel Load Forecasting and Optimal Dispatching Methods Considering Demand Response for Integrated Port Energy System by Ruoli Tang, Siwen Ning, Zongyang Ren, Xin Li, Yan Zhang

Subjects: “…integrated port energy system…”
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Development of a personalized diet using the structural optimization method by A. B. Lisitsyn, I. M. Chernukha, M. А. Nikitina

“…The paper presents the methodology of optimization and formation of personalized diets based on structural-parametric modeling. …”
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THE PROBLEMS AND THE OPTIMIZATION OF NON-PULSATING PUMPS OF THE ASSISTED BLOOD CIRCULATION by G. P. Itkin, S. V. Gautier

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OPTIMIZING THE AVIATION ELECTROMECHANICAL DRIVE-GENERATING AGGREGATE KINEMATICS CHOICE by S. V. Mishin

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