Simulated Annealing-Based Hyperparameter Optimization of a Convolutional Neural Network for MRI Brain Tumor Classification by Sofia El Amoury, Youssef Smili, Youssef Fakhri

“…These findings underscore the critical role of advanced hyperparameter optimization techniques in improving diagnostic accuracy and robustness, ultimately contributing to the development of more reliable and efficient brain tumor classification systems in clinical settings.…”
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Optimization of Adaptive Observation Strategies for Multi-AUVs in Complex Marine Environments Using Deep Reinforcement Learning by Jingjing Zhang, Weidong Zhou, Xiong Deng, Shuo Yang, Chunwang Yang, Hongliang Yin

“…Traditional algorithms struggle with the strong coupling between environmental information and observation modeling, making it challenging to derive optimal strategies. To address this, we designed a DRL framework based on the Dueling Double Deep Q-Network (D3QN), enabling AUVs to interact directly with the environment for more efficient 3D dynamic ocean observation. …”
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Selection and optimization of a unified protocol for transmitting measurement results in information and measurement systems with adaptive settings by Yu.O. Podchashynskyi, O.S. Ishchenko

“…Additionally, issues of buffering, information storage, time synchronization, and the use of dynamic aperture for more efficient data transmission are discussed. Algorithms for synchronization and optimization of data transfer are proposed, which can significantly improve efficiency.…”
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Optimization of Combined Pre-Treatment Process for Bleaching of Cotton Woven Fabric Using Box–Behnken Design by Bantamlak Birlie Kassie, Habtamu Fentahun, Tekalgn Mamay Daget

“…The findings underscore the efficacy of the Box-Behnken design in optimizing a more sustainable and eco-friendly bleaching process, which not only significantly enhances fabric performance but also offers considerable environmental benefits. …”
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Optimizing casting process using a combination of small data machine learning and phase-field simulations by Xiaolong Pei, Jiaqi Pei, Hua Hou, Yuhong Zhao

“…Compared to traditional methods such as random sampling, interval sampling, orthogonal design (OD), and central composite design (CCD), our approach covers the process parameter space more, reduces the data volume by approximately 50%, and achieves process optimization beyond five factors-five levels with fewer data. …”
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…Moreover, This study develops the proposed EffiXNet, a more refined version of EfficientNet augmented with self-attention mechanisms, dynamic convolutions, improved normalization methods, and Sparrow Search Optimization Algorithm for hyperparameter optimization. …”
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FODIT: A Filter-Based Module for Optimizing Data Storage in B5G IoT Environments by Bruno Ramos-Cruz, Francisco J. Quesada-Real, Javier Andreu-Pérez, Jessica Zaqueros-Martinez

“…This research highlights the potential of filter-based techniques to improve data management in IoT and blockchain systems, contributing to the development of more scalable and responsive infrastructures.…”
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Optimized Time-domain Feature Extraction for Early Onset Diagnosis of Parkinson Disease From EEG Signals by Delshad Ghavami, Moein Radman, Ali Chaibakhsh

“…Various window lengths were evaluated to determine the optimal time window for feature extraction, with 4 seconds identified as the optimal duration. …”
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Optimizing Student Engagement and Skills through Meta Virtual Project-Based Networked Learning in Digital Environments by Khusnul Khotimah, Alim Sumarno, Citra Fitri Kholidya, Jang Ho Son, Nurmida Chaterine Sitompul

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Optimizing Hospital Bed Capacity and Resource Allocation Using Inflow and Outflow Indices for Effective Healthcare Management by Jin-Nam Kim PhD, In-Hwan Oh MD, PhD

“…Future research should incorporate more recent data and employ direct patient flow analysis to optimize resource allocation, addressing evolving healthcare demands, such as an aging population and new infectious diseases. …”
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Socioeconomically advantaged infants attending a university well-child clinic in Ankara: are they breast-feeding optimally? by I O Ertem, Z Akinci, B Ulukol, S Başkan-Gülnar

“…Mothers who were working (RR: 3.89, 95% CI: 1.42-10.65) and those who had less than 4 months postpartum leave from work (RR: 4.20, 95% CI: 2.16-8.17) were more likely to not breast-feed optimally. The results of this study indicate that even where breast-feeding is normative behavior, it may not be optimally practiced, leading to potentially detrimental nutrition for infants. …”
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A hybrid spectral prediction model for printed images based on whale-optimized deep neural network by Dongwen Tian, Dongwen Tian, Jinghuan Ge, Na Su

“…Finally, the Improved Whale Optimization Algorithm (IWOA) is employed to optimize the parameters of the deep neural network (DNN) model. …”
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Performance comparison and energy-saving optimization for two DTRO systems in coal mine concentrated brine treatment by WANG Renlei, FENG Yun, ZHU Li, WANG Qingxi, CAO Rong

“…The higher the TDS or recovery rate of the influent, the more advantageous two-segments DTRO process was. …”
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Increasing the Yield of Biogas and Electricity during Manure Fermentation Cattle by Optimally Adding Lime to Extruded Straw by Polishchuk V.М., Shvorov S.А., Flonts I.V., Davidenko T.S., Dvornyk Ye.O.

“…The most significant research result is that the optimal ratio of straw extruded together with lime as a cosubstrate will increase the output of biogas and electricity by more than 60%.…”
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Optimization of mixing ratio for the production of particle board from bamboo leaves, saw dust and urea formaldehyde by Olamide Olawale, Chika Mathew, Oluwakemi Erinle, Faith Ajao, SIJI Abayomi

“…The SEM and EDS results revealed that optimal particleboard of validated experiment had surface with more fibrous network structures than particle board of the best process level. …”
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Optimizing thermal design for sustainable renewable energy in a novel low-temperature desalination-power cycle by Mahmoud Magdy, Ahmed Hamed, Mostafa Rizk

“…Performance analysis, which established an optimal solar field inlet temperature of 85 °C, further reveals crucial trade-offs when operating with outlet temperatures between 90 and 100 °C. …”
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Optimal Control Scheme of Electric Vehicle Charging Using Combined Model of XGBoost and Cumulative Prospect Theory by Youseok Lim, Sungwoo Bae, Jun Moon

“…While the total amount of EV charging is a key factor, when and where the charging occurs can be even more critical for the effective management of the grid. …”
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Research on the Optimization of the Electrode Structure and Signal Processing Method of the Field Mill Type Electric Field Sensor by Wei Zhao, Zhizhong Li, Haitao Zhang

“…Experimental results indicate that within the simulated electric field intensity range of 0–20 kV/m in the laboratory, the measurement resolution of this system can reach 18.7 V/m, and the measurement linearity is more than 99%. The designed system is capable of measuring the atmospheric electric field intensity in real time, providing necessary data support for lightning monitoring and early warning.…”
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Integrated Landslide Risk Assessment via a Landslide Susceptibility Model Based on Intelligent Optimization Algorithms by Xin Dai, Jianping Chen, Tianren Zhang, Chenli Xue

“…In contrast, low-risk areas, which cover approximately 72% of the total area, are more broadly distributed. The landslide susceptibility predictions notably influence high-risk regions with concentrated populations.…”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids by Alessandro Niccolai, Silvia Trimarchi, Lisa Francesca Barbazza, Alessandro Gandelli, Riccardo Zich, Francesco Grimaccia, Sonia Leva

“…The growing penetration of renewable energy sources into electricity grids, along with the problems linked to the electrification of rural areas, has drawn more attention to the development of microgrids. …”
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