Design of Corrugated Horn Antenna for LEO Satellite Feeding System: Efficient Hybrid Optimization Approach by Mahmoud Gadelrab, Shoukry I. Shams, Mahmoud Elsaadany, Ghyslain Gagnon

“…This paper presents a revolutionary hybrid technique that combines real-measured data with simulation tools to reduce the optimization time for the entire system while providing more accurate and robust results. …”
Get full text

Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization by Saâd Soulaimani, Saâd Soulaimani, Ayoub Soulaimani, Kamal Abdelrahman, Abdelhalim Miftah, Mohammed S. Fnais, Biraj Kanti Mondal

“…In a comparison of artificial neural network architectures, the Bayesian-optimized artificial neural network (BOANN) demonstrably achieved the superior classification accuracy in validation and significantly outperformed a non-optimized wide, bilayer, and tri-layer network configurations, indicating that incorporating Bayesian optimization can significantly advance lithofacies recognition, thus offering a more accurate and intelligent solution for identifying lithology.…”
Get full text

Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification by Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh

“…The optimized model was more stable than the standard model, with an STD of 5.53E−03 vs 7.24E−02 for the ensemble model. …”
Get full text

Exploring optimal analgesic strategies for chronic limb-threatening ischaemia: a systematic review protocol by Patrice Forget, Caitlin Sara MacLeod, John Nagy, Thanapon Ekkunagul, Jeevan Francis

Get full text

Optimal load management strategy for large electric vehicle charging stations with undersized charger clusters by Erdem Gümrükcü, Ferdinanda Ponci, Antonello Monti, Giuseppe Guidi, Salvatore D’Arco, Jon Are Suul

“…The results demonstrate that the optimal management achieves identical demand fulfilment rates despite more pronounced load factor limitations as compared to the benchmark strategy. …”
Get full text

Machine learning for optimal parameter prediction in free space continuous-variable quantum key distribution by Dong Chen, Cheng Jin, Liu Ao, Chen Lanjian, Chen YuJie, Yin Peng, Wu TianYi

“…This work enhances the feasibility of implementing CV-QKD in low-Earth-orbit satellite scenarios, where typical link durations of few seconds demand rapid parameter optimization. Moreover, a simulation platform for free space CV-QKD protocol, which employs the precise orbital model to extract the elevation angle and the transmission length, is designed and developed to generate training sets that make the neural network model more practical. …”
Get full text

Human-Centric IoT-Driven Digital Twins in Predictive Maintenance for Optimizing Industry 5.0 by Özlem Sabuncu, Bülent Bilgehan

“…The framework uses an enhanced particle swarm optimization (PSO) algorithm to reconcile competing goals, including maintaining operator safety, optimizing asset reliability, and minimizing maintenance costs. …”
Get full text

Design and Optimization of Optical NAND and NOR Gates Using Photonic Crystals and the ML-FOLD Algorithm by Alireza Mohammadi, Fariborz Parandin, Pouya Karami, Saeed Olyaee

“…To optimize the phase parameters efficiently, we employ the ML-FOLD (Meta-Learning and Formula Optimization for Logic Design) optimization formula, which outperforms traditional methods and machine learning approaches in terms of computational efficiency and data requirements. …”
Get full text

Efficient Exploitation of Lepidolite Resources: A Review on Beneficiation Techniques, Extraction Methods, and Synergistic Optimization by Jiangang Ku, Xiao Shi, Qian Wang, Hanyu Lin, Hongliang Shang, Zhengchang Shen

“…At present, lithium needs to be acquired from a large amount of lepidolite ore, constrained by the existing lithium resource supply limitation quandary, and the industry urgently needs to develop more efficient beneficiation and extraction methods for lepidolite. …”
Get full text

UAV Mission Computer Operation Mode Optimization Focusing on Computational Energy Efficiency and System Responsiveness by Oleksandr Liubimov, Ihor Turkin, Valeriy Cheranovskiy, Lina Volobuieva

“…The growing demand for more sophisticated computational tasks, proportionally larger payloads, battery limitations, and smaller take-off mass requires higher energy efficiency for all avionics and mission computers. …”
Get full text

Isolation, identification and optimization of fermentation conditions against Sclerotinia sclerotiorum strains in high salt Doenjang by Xian Zhang, Hongmei Li, Xiaoyu Kang, Seongil Lim, Fanzhu Li

“…The living bacteriostatic test showed that SP-14 strain had good inhibitory effect on S. sclerotiorum and the inhibitory effect was more significant when the bacteria concentration was 1.2 × 1011 CFU/mL.…”
Get full text

Milling Machine Fault Diagnosis Using Acoustic Emission and Hybrid Deep Learning with Feature Optimization by Muhammad Umar, Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim

“…The optimized features are finally fed into a fully connected (FC) layer of the proposed hybrid model for fault classification. …”
Get full text

Development of a Smart Waste Management System for Route Optimization and Adaptive Demand Management in Dubai by H. Hassan, T. Ali, A. Tamimi

“…Effective waste management is one of the major elements of urban sustainability, more so in rapidly growing cities like Dubai. This paper presents an overview of the development of a Smart Waste Management System (SWMS) that integrates Geographic Information System (GIS) technology with waste route optimization algorithms and adaptive demand management strategies. …”
Get full text

Design and optimization of photonic crystal fibre THz bio‐sensor for extremely impressible identification of dengue by Abu Hena Mohammad Iftekharul Ferdous, Mohammad Rasel Miah, Khalid Sifulla Noor, Mohammad Asaduzzaman, Mohammad Azizul Haque, Mosammot Momtahina Bani, Diponkar Kundu, Mohammad Feroz Ali

Get full text

Optimizing Accounting and Auditing Principles: A Fuzzy MCDM Approach to Ranking Key Influencing Factors by Weiwen Wang, Jiajia Pan, Jinjin Pan, Qiang Guo, Desong Kong, Zhuo Sun

“…Through this approach, decision-makers can make more precise choices because it successfully measures expert evaluation ambiguity and imprecision. …”
Get full text

Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers by Anupam Yadav, Rifat Hussain, Madhu Shukla, Jayaprakash B, Rishiv Kalia, S. Prince Mary, Chou-Yi Hsu, Manoj Kumar Mishra, Kashif Saleem, Mohammed El-Meligy

“…TLBO produced a simpler model with 4,145 parameters, whereas SPBO generated a more complex architecture with 264,065 parameters but completed optimization faster (116 vs. 148 min). …”
Get full text

A predictive analytics approach with Bayesian-optimized gentle boosting ensemble models for diabetes diagnosis by Behnaz Motamedi, Balázs Villányi

“…This study proposes a Bayesian-Optimized GentleBoost Ensemble (BOGBEnsemble) to improve classification performance for diabetes prediction (DiP) and lung cancer prediction (LCP). …”
Get full text

Optimized dual NURBS curve interpolation for high-accuracy five-axis CNC path planning by Yi Xu, Mohd Hairi Mohd Zaman, Feng Zhou

Get full text

Real-Time Electrical Energy Optimization in E-Commerce Systems Based on IoT and Mobile Agents by Mohamed Shili, Sajid Anwar

“…In this paper, we present a new system for integrating the information-sharing capability of IoT-enabled devices with the advanced abilities of mobile agents for the optimal utilization of energy when conducting e-commerce activity. …”
Get full text

Recent Trends in Proxy Model Development for Well Placement Optimization Employing Machine Learning Techniques by Sameer Salasakar, Sabyasachi Prakash, Ganesh Thakur

“…This paper introduces various subcategories within these two proxy model classes and presents the successful applications from the well placement optimization literature. Finally, the potential of integrating a data-driven approach with ROM techniques to develop more computationally efficient proxy models for well placement optimization is also discussed. …”
Get full text