Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…Although many studies compare machine learning classification techniques, the combined use of optimization strategies remains underexplored. Specifically, the combined utilization of feature selection, sampling, quantization, precision scaling, and relaxation methods for the purpose of optimizing and acquiring training and validation data is underexplored, particularly within the context of medical diagnosis datasets. …”
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A Low-Frequency Oscillation Identification Method for Power System Based on Adaptive Generalized S-Transform with Bat Algorithm by Miao Yu, Jingjing Wei, Shuoshuo Tian, Jianqun Sun, Yixiao Wu, Shouzhi Zhang, Jingxuan Hu

“…The complexity of the interconnected grid and the continuous increase of new energy sources have led to an acute problem with low-frequency oscillation (LFO) in power system. …”
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Frequency-Constrained Economic Dispatch of Microgrids Considering Frequency Response Performance by Zhigang Wu, Chuyue Chen, Danyang Xu, Lin Guan

“…Furthermore, the model leverages deep neural networks (DNNs) to convexify non-convex frequency constraints and employs a distributionally robust chance-constrained approach with Wasserstein distance-based ambiguity sets to handle RES uncertainty. Additionally, a method of directly obtaining the compromise optimal solution is used to transform the multi-objective problem into a single-objective one. …”
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TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM by Elsaid Md. Abdelrahim, Hasan Hashim, El-Sayed Atlam, Radwa Ahmed Osman, Ibrahim Gad

“…The high-dimensional feature vectors extracted from each network are then concatenated and optimized before being inputted into the SVM classifier. …”
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Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer by Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu

“…We propose an ensemble machine learning-based pre-trained annotation framework that integrates gradient boosting and genetic optimization for robust feature selection. The proposed method uses ensemble learning to enhance annotation accuracy under data scarcity, addressing limitations in existing supervised methods by leveraging a combination of multiple annotated datasets and feature alignment strategies. …”
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Physicochemical and Functional Properties of Yanbian Cattle Bone Gelatin Extracted Using Acid, Alkaline, and Enzymatic Hydrolysis Methods by Song Zhang, Duanduan Zhao, Lu Yin, Ruixuan Wang, Zhiyan Jin, Hongyan Xu, Guangjun Xia

“…Yanbian cattle bone gelatin shows promise as an alternative source for halal gelatin production. This study also provides insights into optimizing gelatin production to enhance its functionality and sustainability.…”
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Comparing Acid and Enzymatic Hydrolysis Methods for Cellulose Nanocrystals (CNCs) Obtention from Agroindustrial Rice Husk Waste by Ricardo Hernández Pérez, René Salgado Delgado, Alfredo Olarte Paredes, Areli Salgado Delgado, Edgar García Hernández, Atenas Medrano Valis, Fryda Martínez Candia

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The MyGuide Web-Based Self-Management Tool for Concussion Rehabilitation: Mixed Methods Cross-Sectional Study by Alyssa Turcott, Ruthine Kang, Christopher Yao, Colleen O'Melinn, Patricia Mahoney, Susan Barlow, Julia Schmidt

“…Future research may include optimizing MyGuide by targeting promotional strategies and addressing other barriers to use.…”
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Motor Fault Diagnosis Under Strong Background Noise Based on Parameter-Optimized Feature Mode Decomposition and Spatial–Temporal Features Fusion by Jingcan Wang, Yiping Yuan, Fangqi Shen, Caifeng Chen

“…According to the experimental results, the average accuracies of the proposed method were 97.7% and 93.38% for the noise-added CWRU bearing fault dataset and the actual operation dataset of the mine motor, respectively, which are significantly better than those of similar methods, showing that the approach in this study is superior in fault feature extraction and identification.…”
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Optimization of sizing and energy management in hybrid energy storage systems for transient suppression in ship power systems under adverse sea conditions by Yu Ding, Shengping Ma, Guozheng Liu, Congbiao Sui, La Xiang

“…Considering that the power distribution and capacity sizing of HESS are highly related to each other, a multi-objective joint optimization method based on Multi-objective pelican optimization algorithm is proposed to obtain the optimal number of Li-ion battery and supercapacitor and the optimal power distribution strategy among the three-source powertrain for adverse sea conditions. …”
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Thermal error modeling of slant bed CNC lathe spindle based on BiLSTM with data augmentation and grey wolf optimizer algorithm by Musab Alataiqeh, Hu Shi, Qiangqiang Qu, Xuesong Mei, Haitao Wang

“…Furthermore, a predictive model that integrates Bidirectional Long Short-Term Memory (BiLSTM) with hyperparameter optimization via the Grey Wolf Optimizer (GWO) is developed. …”
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The evolution of sprinting performance: Technological and regulatory influences from 1976 to 2024 by Dariusz Tadeusz SKALSKI, Magdalena PROŃCZUK, Kinga ŁOSIŃSKA, Ewelina LULIŃSKA, Joanna MOTOWIDŁO, Petr STASTNY, Adam MASZCZYK, Grzegorz TRYBEK

“…Data sources include official race results, biomechanical studies, and historical records of rule changes. …”
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Exploring optimal protocols for generating and preserving glucose-responsive insulin-secreting progenitor cells derived from human pluripotent stem cells by Patrizia Tornabene, James M. Wells

“…In this study, we performed a side-by-side functional comparison based on three widely used methods to generate insulin expressing cells and identified optimal stages and conditions for cryopreserving and reconstituting stem cell (SC)-derived islets with a robust GSIS. …”
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Fusion of Visible and Infrared Images Using a Reinforcement Learning System Based on Fuzzy Logic and Convolution Optimized with Wild Horse Algorithm by Mahvash Zarimeidani, Amir Amirabadi, Nasrin Amiri, Iman Ahanian, Siavash Es’haghi

“…Based on the experimental results, our proposed method outperforms previous fusion methods in terms of subjective and objective evaluations.…”
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A Wide-Range TCSC Based ADN in Mountainous Areas Considering Hydropower-Photovoltaic-ESS Complementarity by Yao Guo, Shaorong Wang, Dezhi Chen

“…The optimal objective is to maximize the consumption of renewable energy sources (RESs) and minimize line losses by coordinating the charging/discharging of ESSs with the operation mode of the TCSC. …”
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An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model by Xiaofei Yang, Qiao Li, Honghui Li, Hao Zhou, Jinyan Zhang, Xueliang Fu

“…The CDE-EHO method optimizes the GBM model, achieving maximum accuracy, according to the testing results. …”
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Optimizing genomic DNA extraction from long-term preserved formalin-fixed and paraffin-embedded lung cancer and lymph node tissues by C.S. Faria, C.M. Baldavira, F.R.R. Mangone, M.E.M. Agati, L.D. Kulikowski, M.A. Nagai, E.C.T. do Nascimento, E.S. de Mello, V.L. Capelozzi, L. Antonangelo

“…Improving screening approaches and optimizing tissue utilization for biomarker research are crucial for effective LC management. …”
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Optimizing Radiation Dose and Image Quality in Stroke CT Protocols: Proposed Diagnostic Reference Levels for Multiphase CT Angiography and Perfusion Imaging by Robert Forbrig, Christoph G. Trumm, Paul Reidler, Wolfgang G. Kunz, Konstantinos Dimitriadis, Lars Kellert, Johannes Rückel, Thomas Liebig, Robert Stahl

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Construction of symbiosis corridors for heritage resources and optimization of conservation strategies in the basin: A case study of the Yellow River basin in Shandong, China by Ying Yu, Bin Yu, Xinwen Zhang, Lin Ma, Caijun Zhao, Yanyan Jia, Shujun Hou, Xin Han, Kun Li, Xinchuang Chen, Chuanrong Li, Bing Liu

“…The study focuses on the Yellow River Basin in Shandong (YRB-SD) applying ecosystem services (ES), morphological spatial pattern analysis (MSPA) and the comprehensive evaluation model (CEM) to identify source areas. Symbiotic corridors (SCs) are constructed using the circuit theory approach and further optimized by integrating ecological protection redlines (EPR), agro-cultural heritage (ACH), and scenic areas (SA) to enhance spatial resource interaction and improve corridor connectivity. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…This process included methods for optimizing well trajectories, selecting well locations, predicting formation pressures before drilling, and predicting wellbore stability, which improved drilling safety and efficiency. …”
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