Comparative Analysis of Perspective Extragation Methods for Receiving Extractions from Fenugreek Seeds by S. S. Belokurov, E. V. Flisyuk, I. A. Narkevich, V. G. Luzhanin, S. V. Shilov, K. O. Novikova

“…Plant extracts with a high level of risk do not have a harmful effect on the human body, except that they provide environmental safety, which creates a special interest for the pharmaceutical industry . vibrocavitation and supercritical fluid СО2 extraction.Aim. The choice of the optimal level of extraction to obtain a high level of fenugreek seeds.Materials and methods. …”
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Analysis of software methods for metal computed tomography artifact reduction: experimental research by A. V. Petraikin, Yu. A. Vasilev, Z. R. Artyukova, A. K. Smorchkova, D. S. Semenov, А. А. Baulin, A. A. Alikhanov, R. A. Erizhokov, O. V. Omelyanskaya

“…To conduct a visual (qualitative) and quantitative assessment of metal artifacts in CT images using software methods for their reduction.Materials and methods. …”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…Conclusion The choice of feature selection method and the source of radiomic features have a profound effect on the models’ performance for csPCa diagnosis. …”
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A Combined Study on Optimization, In Silico Modeling, and Genetic Modification of Large Scale Microbial Cellulase Production by Md. Raisul Islam Rabby, Zabed Bin Ahmed, Gobindo Kumar Paul, Nafisa Nusrat Chowdhury, Fatema Akter, Mamudul Hasan Razu, Pranab Karmaker, Mala Khan

“…In this review, we focus not only on the conventional methods of cellulase production but also on modern biotechnological approaches applied to cellulase production by a sequential study on common cellulase-producing microbes, modified microbes, culture media, carbon sources, substrate pretreatment process, and the importance of optimum pH and temperature on fermentation. …”
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The Jackknife method as a new approach to validate strong lens mass models by Shun Nishida, Masamune Oguri, Yoshinobu Fudamoto, Ayari Kitamura

“…In this approach, we remove multiple images of a source from the fitting and optimize the mass model using multiple images of the remaining sources. …”
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KAJIAN LITERATUR SISTEM INFORMASI MANAJEMEN STOK by Guntur Maulana Putra, Sheila Nurul Huda

“…This research uses qualitative descriptive writing with library research methods. by reviewing various bibliographic source journals. …”
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Biosourcing and optimization of fungal lipase production from cheap agro waste via solid state fermentation by Gboyega E. Adebami, Bukola C. Adebayo-Tayo, Arindam Kuila, Benjamin A. Babalola, Moses A. Abiala

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Optimal Reactive Power Planning Using FACTS Devices for Voltage Stability Enhancement in Power Transmission Systems by Rawan Abu Zeitawyeh, Ayman Faza

“…Increasing the penetration of DG sources also provides significant improvement in system stability. …”
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Modeling and Simulation of Insulin Pump Set Failures Based on the Power Flow Method by Weijie Wang, Dinghui Guo, Long Quan, Shiwei Liu

“…Findings reveal that leakage faults closer to the flow source significantly reduce the output flow rate and chamber pressure. …”
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Estimating the travel distance of channelized rock avalanches using genetic programming method by Zhang Yong, Wang Tao, Deng Mingfeng, Chen Ningsheng

“…Considering the advantages of machine learning in data processing, 49 channelized rock avalanche events and three machine learning methods (genetic programming (GP), support vector machine (SVM), and multilayer perceptron (MLP)) were selected for model optimization and establishment. …”
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Statistical Foundations of Generative AI for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions by Elinor Ginzburg-Ganz, Eden Dina Horodi, Omar Shadafny, Uri Savir, Ram Machlev, Yoash Levron

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Coupling circuit design for Single-Wire Earth Return PLC applications through cascaded s-parameters optimization by Kristi Beqirllari, Cagil Ozansoy, Douglas Gomes

“…A case study for a PLC targeting a Single Wire Earth Return (SWER) network coupling via a 5.1-nF Coupling Capacitor (CC) exemplifies the need for this research. The proposed method relies on the construction of an s-parameter cascade for the load, source, and matching circuit for the PLC application. …”
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Day-ahead optimal dispatch considering demand response compensation and carbon trading under uncertain environment. by Ze Ye, Deping Liang, Meihui Wang, Lei Chen

“…To fully explore the regulation resources on both sides of the source and load under uncertain environment and collaboratively achieve the energy saving and emission reduction goals, a low-carbon economic optimization dispatch model combining demand response and carbon trading mechanism is proposed in this paper. …”
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Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey by Feyza Nur Çakıcı, Suleyman Sungur Tezcan, Hıdır Düzkaya

“…The hyper-parameters of the models are adjusted using the Bayesian Optimization (BO) method. The performance of monthly hydroelectric power prediction models is assessed using metrics such as correlation coefficient (R), root mean square error (RMSE), and mean absolute error (MAE). …”
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Template mapping method for plane quadrilateral mesh generation with controllable density transitions by Yize Li, Qingyuan Hu, Gengdong Cheng

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Reduction of carbon and water footprints in wet coffee processing and optimization of wastewater treatment at the wet mill factory by Xia Li, Qian Jia, Yifan Gu, Godrick Bulitia, Joseph Nyamoko Tinega, Fengting Li

“…However, wet coffee processing and coffee wastewater treatment stages are a major source of carbon emission and high-water footprint. …”
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Multi-view affinity-based projection alignment for unsupervised domain adaptation via locality preserving optimization by Weibin Luo, Mingye Chen, Jian Gao, Yanping Zhu, Fang Wang, Chenyang Zhu

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Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

“…The organic carbon content is the main parameter to evaluate the potential of hydrocarbon source rocks. The commonly used TOC logging inversion model is difficult to deeply analyze the complex collinearity relationship between logging curves, which restricts the comprehensive evaluation effect of multi-dimensional logging information. …”
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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. Heuristic search optimization methods are typically used to minimize the loss function in ANNs. …”
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Real‐Time Self‐Optimization of Quantum Dot Laser Emissions During Machine Learning‐Assisted Epitaxy by Chao Shen, Wenkang Zhan, Shujie Pan, Hongyue Hao, Ning Zhuo, Kaiyao Xin, Hui Cong, Chi Xu, Bo Xu, Tien Khee Ng, Siming Chen, Chunlai Xue, Zhanguo Wang, Chao Zhao

“…Abstract Traditional methods for optimizing light source emissions rely on a time‐consuming trial‐and‐error approach. …”
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