Classification of Particulate Matter (PM2.5) Concentrations Using Feature Selection and Machine Learning Strategies by Matara Caroline Mongina, Nyambane Simpson Osano, Yusuf Amir Okeyo, Ochungo Elisha Akech, Khattak Afaq

“…This research employed machine learning approaches to classify acceptable or non-acceptable particulate matter (PM2.5) concentrations using a dataset that was obtained from the Nairobi expressway road corridor. …”
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Inverse Design of Metamaterial Absorbers for Far-Infrared CMOS Detectors by Tiantian Shi, Wenbin Zhou, Xiangze Liu, Wei Si, Zhangnan Li, Yiming Liao, Xiaoli Ji

“…The inverse design of the MAs is applied using binary coding and a staged genetic algorithm (SGA) to enhance efficiency and flexibility for ultra-broadband absorptivity. …”
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Mask R-CNN aided fruit surface temperature monitoring algorithm with edge compute enabled internet of things system for automated apple heat stress management by Basavaraj R. Amogi, Rakesh Ranjan, Lav R. Khot

“…Our prior study focused on development of internet of things (IoT) and edge-compute enabled crop physiology sensing system (CPSS) for apple sunburn monitoring. Edge compute algorithm on CPSS estimated sunburn susceptibility as fruit surface temperature (FST) through pixel-by-pixel multiplication of captured thermal infrared images with segmented fruits binary mask. …”
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Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context by Xiaoqing Huang, Xiaodan Di, Suiwen Lin, Minrong Yao, Suijin Zheng, Shuyi Liu, Wayan Lau, Zhixin Ye, Zilian Wang, Bin Liu

“…Since durations beyond 3 h were rare, we developed binary classification models with thresholds at 1 h and 2 h. …”
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Enhancing image retrieval through optimal barcode representation by Rasa Khosrowshahli, Farnaz Kheiri, Azam Asilian Bidgoli, H. R. Tizhoosh, Masoud Makrehchi, Shahryar Rahnamayan

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An extension of the Spiegelhalter-Knill-Jones method for continuous covariates in clinical decision making by Bart K. M. Jacobs, Tafadzwa Maseko, Lutgarde Lynen, Aquiles Rodrigo Henriquez-Trujillo, Jozefien Buyze

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Factor Implicit Model of Machine Classification Learning Based on Factor Space Theory by Ying Wang, Fanhui Zeng, Hui Sun, Xiaotong Liu, Kaile Lin, Kaijie Zhang

“…The algorithm proposed in this paper can not only solve the binary classification problem, but can also solve the multi-classification problem. …”
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Epilepsy Diagnosis Analysis via a Multiple-Measures Composite Strategy from the Viewpoint of Associated Network Analysis Methods by Haoying Niu, Tiange Mu, Yuting Wang, Jiayang Huang, Jie Liu

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Optimizing Image Watermarking with Dual-Tree Complex Wavelet Transform and Particle Swarm Intelligence for Secure and High-Quality Protection by Abed Al Raoof Bsoul, Alaa Bani Ismail

“…However, most watermarking approaches negatively affect the quality of the original image. In this research, we propose an optimized image watermarking approach that utilizes the dual-tree complex wavelet transform and particle swarm optimization algorithm. …”
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Forecasting Blue and Green Water Footprint of Wheat Based on Single, Hybrid, and Stacking Ensemble Machine Learning Algorithms Under Diverse Agro-Climatic Conditions in Nile Delta,... by Ashrakat A. Lotfy, Mohamed E. Abuarab, Eslam Farag, Bilal Derardja, Roula Khadra, Ahmed A. Abdelmoneim, Ali Mokhtar

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Machine-learning prediction for hospital length of stay using a French medico-administrative database by Franck Jaotombo, Vanessa Pauly, Guillaume Fond, Veronica Orleans, Pascal Auquier, Badih Ghattas, Laurent Boyer

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Calibrating multiplex serology for Helicobacter pylori by Emmanuelle A. Dankwa, Martyn Plummer, Daniel Chapman, Rima Jeske, Julia Butt, Michael Hill, Tim Waterboer, Iona Y. Millwood, Ling Yang, Christiana Kartsonaki

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Serum ferritin levels and risk of gestational diabetes mellitus: A cohort study by Yupei Xie, Siyu Dai, Qian Chen, Dan Shan, Xiongfei Pan, Yayi Hu

“…This study enrolled 12,434 controls and 3599 GDM patients and employed binary multifactorial logistic regression, restricted cubic spline, propensity score matching, and a random forest algorithm to explore the relationship between serum ferritin and GDM, as well as the effect size of ferritin on GDM. …”
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Borehole‐Based Interval Kriging for 3D Lithofacies Modeling by Yuqi Song, Frank T.‐C. Tsai

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EEG channels selection for stroke patients rehabilitation using equilibrium optimizer by Al-Betar Mohammed Azmi, Alyasseri Zaid Abdi Alkareem, Makhadmeh Sharif Naser

“…Attributes are then computed for the time, entropy, and frequency domains. The EO algorithm is utilized to represent the EEG channel selection problem, transforming the features of each individual EEG into binary values and subsequently applying a k-nearest neighbor classifier technique to determine the accuracy rate. …”
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Fuzzy Rule-Based Combination Model for the Fire Pixel Segmentation by Alberto Lopez-Alanis, Hector de-la-Torre-Gutierrez, Arturo Hernandez-Aguirre, Maria T. Orvananos-Guerrero

“…Color-feature-based wildfire pixel segmentation has become a challenging task extensively addressed in various research studies. Rule-based models aim to identify fire pixels in a binary manner by determining whether the pixel intensity exceeds a specified threshold value. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…This study, titled "Enhancing Attendance Management through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery," aimed to develop a more accurate and efficient solution using Local Binary Pattern Histogram and Convolutional Neural Networks algorithms to automate attendance tracking.A mixed-method approach was employed, combining system testing with user feedback from administrators, staff, and students. …”
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University proceedings. Volga region. Technical sciences by V.I. Volchikhin, A.I. Ivanov, A.V. Bezyaev, I.A. Filipov

Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square by Retno Maharesi

“…The purpose of this research is to produce a prototype algorithm for obtaining an inductive decision tree based on Chi-square statistics. …”
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An improved dung beetle optimizer based on Padé approximation strategy for global optimization and feature selection by Tianbao Liu, Lingling Yang, Yue Li, Xiwen Qin

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