On the Optimization of Carob Seed Peel Extraction Using Aqueous-Based Acidic Systems by Bruno Medronho, Oumaima Boutoub, Hugo Duarte, Maria José Aliaño-González, Rui Guerra, António Brázio, Sandra Gonçalves, Anabela Romano

“…This study aims to develop and optimize a milder, more sustainable dehusking method while preserving seed quality for industrial applications. …”
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Adaptive hybrid hyperparameter optimization with MRFO and Lévy flight for accurate melanoma classification by Shamsuddeen Adamu, Hitham Alhussian, Said Jadid Abdulkadir, Ayed Alwadin, Sallam O. F. Khairy, Hussaini Mamman, Shamsu Abdullahi, Saidu Yahaya, Aliyu Garba, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Daniel Tonye Oyefidein

“…Abstract Hyperparameter optimization (HPO) is essential for deep learning in medical image classification, yet standard metaheuristics such as Manta Ray Foraging Optimization (MRFO) often suffer from premature convergence in high-dimensional search spaces. …”
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Optimization of Preparation Technology and Component Analysis of Ziziphi spinosae semen Formula Beverage by Yaonan CHEN, Lulu DONG, Yiran HENG, Hongyu LI, Yan YAN, Chenhui DU

“…The crude protein was determined using the Kjeldahl nitrogen determination method, while the amino acid content was analyzed with an automatic amino acid analyzer. …”
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Estimating leaf water potential of potato using band-optimized spectral indices by GAO Kai, YANG Haibo, YIN Hang, WANG Wei, SUN Yu, ZHAO Liang, LI Fei

“…A strong linear correlation was observed between the optimized spectral index and LWP. The Optimized Normalized Difference Spectral Index (NDSI) was the most effective index for estimating potato LWP at a single growth stage. …”
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Energy Efficiency Optimization for UAV-RIS-Assisted Wireless Powered Communication Networks by Xianhao Shen, Ling Gu, Jiazhi Yang, Shuangqin Shen

“…Considering two TDMA methods, the paper jointly optimizes the flight trajectory of the UAV, the energy harvesting scheduling of ground nodes, and the phase shift matrix of the RIS with the goal of improving the energy efficiency of the system. …”
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Optimization of technical productivity of a bulldozer unit in terms of traction and speed parameter by I. Р. Troyanovskaya, О. A. Grebenshchikova

“…Therefore, the approaches developed for optimizing the productivity of tracked agricultural tractor units (where slippage is regulated at 5%) require clarification. …”
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Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction by Raja Ayu Mahessya, Dian Eka Putra, Rostam Ahmad Efendi, Rayendra, Rozi Meri, Riyan Ikhbal Salam, Dedi Mardianto, Ikhsan, Ismael, Arif Rizki Marsa

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Optimization of The Budget of The Industrial Complex Transformation Strategy Based on Neural Network Modeling by A. G. Boev, A. G. Puzakov, Yu. P. Anisimov

“…A methodological technique has been developed that allows choosing the optimal option for allocating the strategy budget funds between the key areas of transformation of the industrial complex, characterized by the use of neural network modeling technologies and providing the greatest increase in revenue and labor productivity while maintaining the financial and economic stability of the enterprise. …”
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Constraint-aware wind power forecasting with an optimized hybrid machine learning model by Md. Omer Faruque, Md. Alamgir Hossain, S.M. Mahfuz Alam, Muhammad Khalid

“…Accurate prediction of wind power generation (WPG) under real-world scenarios is imperative for achieving optimal costing, ensuring reliable operation, and fortifying the security of power systems. …”
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Better care for children with appendicitis: implementation of antibiotic stewardship optimizes postoperative therapy by Beltz, Sebastian, Fischer, Stephanie, Huenger, Frank, Vahdad, Reza, Kalhoff, Hermann, Leutner, Andreas

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Sustainable cement production: minimizing CO2 by optimizing efficiency with LC3 by Amany Mostafa, H. M. Khater, Mahmoud Gharieb, M. Anwar

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Impact of optimal therapy for noncommunicable diseases on the course and outcome of COVID-19 inpatients by I. A. Frolova, E. I. Tarlovskaya, S. V. Romanov, O. P. Abaeva, A. A. Frolov

“…To carry out a comparative analysis of the impact of optimal and suboptimal therapy for noncommunicable diseases (NCDs) at the prehospital stage on the severity and outcomes of coronavirus disease 2019 (COVID-19).Material and methods. …”
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The Optimal Estimation Model for Soil Salinization Based on the FOD-CNN Spectral Index by Jicun Yang, Bing Guo, Rui Zhang

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Artificial Intelligence in Pathology and Molecular Biology: Integrating Intelligent Systems for Laboratory Optimization by Ștefan-Claudiu MIRESCU, Rebeca-Maria POPA

“…This study evaluated the integration of AI-driven solutions in a laboratory setting, focusing on workflow optimization, client interaction, and data management. …”
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Optimization and Enhancement of Oral Bioavailability of Dabrafenib as Nanobubbles Using Quality by Design Approach by Bijili Vijaya Laxmi, Darna Bhikshapathi, Sailaja Rao

“…Moreover, they offered controlled release characteristics and can potentially enhance drug delivery to tissues or cells, maximizing pharmacological results while reducing adverse effects. Methods: PLGA NBs were formulated using solvent evaporation and optimized using a Box Behnken design considering process and formulation parameters. …”
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OPTNet: Optimized Pixel-Transformer Model for Adaptive Retinal Fundus Image Enhancement by Faisal Majed Alqahtani, Somaya Adwan, Mohd Yazed Ahmad, Salmah Binti Karman

“…This study introduces OPTNet, an optimized pixel-wise transformer model designed to efficiently enhance degraded or low-quality retinal images. …”
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Optimal number of the examined lymph nodes for different N stages in colorectal cancer by Ye Tian, Xinyu Qiao, Gaozan Zheng, Hanjun Dan, Xinyu Dou, Guangming Ren, Liaoran Niu, Pengfei Wang, Siyuan Wang, Fengsu Wu, Yumao Yang, Jianyong Zheng, Fan Feng

“…The SEER database (n = 48,331) served as the primary cohort, while the Xijing cohort (n = 4447) was used for external validation. …”
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Electrical discharge machining: Recent advances and future trends in modeling, optimization, and sustainability by Muhamad Taufik Ulhakim, Sukarman, Khoirudin, Dodi Mulyadi, Hendri Susilo, Rohman, Muji Setiyo

“…Advanced modeling techniques, such as finite element analysis (FEA) and artificial intelligence (AI)-driven simulations, have improved the accuracy of process predictions, enabling real-time adjustments and precise control of machining parameters. Optimization approaches, including machine learning-based algorithms, multi-objective optimization, and hybrid methods, have enhanced key performance indicators, such as material removal rate (MRR), surface quality, and tool wear, thereby increasing process efficiency and reducing machining time. …”
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Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting by Jaemyung Shin, Ryan Kang, Kinam Hyun, Zhangkang Li, Hitendra Kumar, Kangsoo Kim, Simon S. Park, Keekyoung Kim

“…Abstract Organoids produce through traditional manual pipetting methods face challenges such as labor‐intensive procedures and batch‐to‐batch variability in quality. …”
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Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

“…They focus mainly on heuristics and deep reinforcement learning methods without the provision of performance guarantees, which are required in many real-world applications. …”
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