An innovative maximum power point tracking for photovoltaic systems operating under partially shaded conditions using Grey Wolf Optimization algorithm by Muhannad J. Alshareef

“…Partial shading conditions (PSCs) may be unpredictable and difficult to forecast in large-scale solar photovoltaic (PV) systems. …”
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Application of dynamic enhanced scanning with GD-EOB-DTPA MRI based on deep learning algorithm for lesion diagnosis in liver cancer patients by Bo Liu, Jinhua Yang, Yifei Wu, Xi Chen, Xueru Wu

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Exploration of genetic algorithms to build a balanced neutron spectra dataset useful to train unfolding techniques based on artificial neural networks by Bouhadida Maha, Hmede Rodayna, Brovchenko Mariya, Monange Wilfried, Vinchon Thibaut, Ducasse Quentin, Trompier François

“…To ensure the ML algorithm to perform on a large domain of application particular attention has been paid to the dataset creation. …”
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KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification by Nan Zhang, Nan Zhang, Shishun Zhao, Runze Wu, Xizi Luo, Ming Yang, Zecheng Chang, Jianting Xu

“…IntroductionIntegrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various disease states.MethodsHere, we propose a novel KDDC framework that integrates kmers, dataset selection, dimensionality reduction and classification algorithms to facilitate the heterogeneous classification of immune cells.Results and DiscussionBy comparing various kmer length combinations across seven different classification algorithms, we found that B cell receptor-based cellsubset classification outperforms T cell receptor-based classification, achievingan average AUC of over 96%. …”
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Treatment-prognostication-adjustment a new therapeutic idea by analyzing T cell immune checkpoint in tumor microenvironment by algorithm: A bibliometric analysis by Shiwei Ma, Xin Wu, Zhongguang Wu, Qiangqiang Zhao

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Simulation study on the urban-rural integration circulatory mechanism system in China: Based on system dynamics model and multi-objective genetic algorithm by Gaoyang Liang, Mingqiang Xing, Jianqiang Zhao

“…This research contributes to a deeper theoretical understanding of the urban-rural integration mechanism and provides preliminary insights that may serve as a reference for promoting balanced and sustainable urban-rural development in China.…”
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Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts by Renao Jiang, Longfei Dai, Xinjian Xu, Zhen Zhang

“…Identification of cell death genes may offer insights into diagnostic and therapeutic strategies for NASH. …”
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Effective classification for neonatal brain injury using EEG feature selection based on elastic net regression and improved crow search algorithm by Ling Li, Tao Yue, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu

“…Classification methods based on electroencephalography (EEG) signals and machine learning algorithms are crucial for assessing neonatal brain injury. …”
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Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reduction by Enoch Adama Jiya, Ilesanmi B. Oluwafemi

“…To choose relevant subset features from the data and for better generalization in various contexts, this work uses an adaptive human presence detector algorithm that hybridizes dimensionality reduction techniques genetic algorithm (GA), which maximizes feature selection, and independent component analysis (ICA), which lowers the dimensionality of the chosen features. …”
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Optimizing P-Chart Performance Using a Percentage-Based Framework: Application to Nonconforming Items in the Manufacturing Sector by Zahid Khan, Aamir Saghir, Attila I. Katona, Zsolt T. Kosztyan

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Evaluation of a Computer-Based Morphological Analysis Method for Free-Text Responses in the General Medicine In-Training Examination: Algorithm Validation Study by Daiki Yokokawa, Kiyoshi Shikino, Yuji Nishizaki, Sho Fukui, Yasuharu Tokuda

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The utility of liver function tests for mortality prediction within one year in primary care using the algorithm for liver function investigations (ALFI). by David J McLernon, John F Dillon, Frank M Sullivan, Paul Roderick, William M Rosenberg, Stephen D Ryder, Peter T Donnan

“…<h4>Background</h4>Although liver function tests (LFTs) are routinely measured in primary care, raised levels in patients with no obvious liver disease may trigger a range of subsequent expensive and unnecessary management plans. …”
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A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles by Reza Jafari, Pouria Sarhadi, Amin Paykani, Shady S. Refaat, Pedram Asef

“…To improve adaptability and ability to handle nonlinearities via continuous learning, the proposed algorithm is built upon a twin delayed deep deterministic policy gradient (TD3) reinforcement learning (RL) algorithm for the optimal torque distribution across four wheels of the vehicle. …”
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Housing Price Modeling Using a New Geographically, Temporally, and Characteristically Weighted Generalized Regression Neural Network (GTCW-GRNN) Algorithm by Saeed Zali, Parham Pahlavani, Omid Ghorbanzadeh, Ali Khazravi, Mohammad Ahmadlou, Sara Givekesh

“…In addition to being able to model the spatial–time heterogeneity available in observations, this algorithm is accurate and faster than MLR, GWR, GRNN, and GCW-GRNN. …”
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Epidemiological Assessment and Inference in Race-Based Clinical Algorithms: A Narrative Review and Health Policy Analysis Focused on Living Kidney Donation by Sienna E. Schaeffer, Carolina Gonzalez Bravo, Christopher D. Ahlers, Alaina N. Elliott-Wherry, Hannah Zadeh, Precious-Junia de-Winton Cummings, Kimberly C. Dukes, Nasrien E. Ibrahim, DeShauna Jones, Patrick T. Zamba, Aloha D. Wilks, Martha L. Carvour

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On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, C... by Mohsen Qutbi

“…Factors such as intensity of pixels and noise may also affect the algorithm’s convergence. It is not also well-known that the algorithm converges uniformly or consistently across the field of view (FOV), termed as radial congruency or sensitivity to location and direction. …”
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A Dual-Strategy Framework for Cyber Threat Detection in Imbalanced, High-Dimensional Data Across Heterogeneous Networks by T. Saranya, S. Indra Priyadharshini

“…Second, the Cauchy-Gaussian Genetic-Arithmetic Optimizer (CG-GAO) addresses the challenge of high-dimensional data by combining a genetic algorithm (GA) and an arithmetic optimization algorithm (AOA), enhancing exploration and preventing premature convergence. …”
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Comprehensive Analysis of Alpha-Parametric Set for the Calculation of Intersection Lengths of Radiological Ray Path in Siddon's Algorithm Used in 3D Image Reconstruction by Adem Polat

“…The Siddon algorithm is one of the radiological ray path calculation tools used in 3D image reconstruction in medical imaging. …”
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The role of fluorodeoxy-D-glucose positron emission tomography/computed tomography in nodal staging of nonsmall cell lung cancer in sequential surgical algorithm by Yuyang Zhang, Yolanda Elam, Patricia Hall, Hadyn Williams, Darko Pucar, Vijay Patel

“…FDG PET/CT is accurate in assessing stations 2R/L, 4R/L, and 7 nodes and has the potential to replace mediastinoscopy in the treatment algorithm of T1/T2 M0 disease. A negative PET/CT may potentially prevent the patient from invasive mediastinoscopy given its high NPV. …”
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Novel non-invasive algorithm to identify the origins of re-entry and ectopic foci in the atria from 64-lead ECGs: A computational study. by Erick A Perez Alday, Michael A Colman, Philip Langley, Henggui Zhang

“…Algorithms based on the ECG signals in multiple leads (e.g. a 64-lead vest) may provide a viable approach. …”
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