Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

Subjects: “…Machine learning…”
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Using machine learning to predict patients with polycystic ovary disease in Chinese women by Chen-Yu Wang, Dee Pei, Chun-Kai Wang, Jyun-Cheng Ke, Siou-Ting Lee, Ta-Wei Chu, Yao-Jen Liang

Subjects: “…Machine learning…”
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Arabic Sign Language Recognition System for Alphabets Using Machine Learning Techniques by Gamal Tharwat, Abdelmoty M. Ahmed, Belgacem Bouallegue

“…In recent years, the role of pattern recognition in systems based on human computer interaction (HCI) has spread in terms of computer vision applications and machine learning, and one of the most important of these applications is to recognize the hand gestures used in dealing with deaf people, in particular to recognize the dashed letters in surahs of the Quran. …”
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Earthquake induced liquefaction hazard analysis for Chittagong City using machine learning by Md. Mehedi Hasan, Md. Zillur Rahman, Abul Kashem Faruki Fahim

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Incorporating climate data with machine learning can improve rice phenology estimation by Yiqing Liu, Weihang Liu, Tao Ye, Shuo Chen, Xuehong Chen, Zitong Li, Ning Zhan, Ran Sun

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Using low-discrepancy points for data compression in machine learning: an experimental comparison by S. Göttlich, J. Heieck, A. Neuenkirch

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Classification of the optimal rebalancing frequency for pairs trading using machine learning techniques by Mahmut Bağcı, Pınar Kaya Soylu

“…This study proposes a machine learning (ML) approach to predict ORF ranges. To improve ML accuracy, pairs were categorized into three subgroups based on their correlation levels: positively, weakly, and negatively correlated. …”
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Forecasting CDS Term Structure Based on Nelson–Siegel Model and Machine Learning by Won Joong Kim, Gunho Jung, Sun-Yong Choi

“…Among the machine learning approaches, GMDH demonstrates the best performance in forecasting the CDS term structure. …”
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COVID-19 World Vaccination Progress Using Machine Learning Classification Algorithms by Nasiba M. Abdulkareem, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dathar A. Hasan

Subjects: “…COVID-19 Vaccine, Machine learning, Classification algorithm, Dataset, weka…”
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RETRACTED: Machine learning as an integral part of the security strategy of production business processes by Ponamareva Svetlana, Zhukov Aleksandr, Skripachev Vladimir, Kartsan Igor

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A large synthetic dataset for machine learning applications in power transmission grids by Marc Gillioz, Guillaume Dubuis, Philippe Jacquod

“…Fast, essentially real-time computational approaches to evaluate their operational safety, stability and reliability are therefore highly desirable. Machine Learning methods have been advocated to solve this challenge, however they are heavy consumers of training and testing data, while historical operational data for real-world power grids are hard if not impossible to access. …”
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On Quantum Methods for Machine Learning Problems Part II: Quantum Classification Algorithms by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

“…This second part of the review presents several classification problems in machine learning that can be accelerated with quantum subroutines. …”
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Novel models based on machine learning to predict the prognosis of metaplastic breast cancer by Yinghui Zhang, Wenxin An, Cong Wang, Xiaolei Liu, Qihong Zhang, Yue Zhang, Shaoqiang Cheng

“…We utilized prognostic factors to develop a novel machine learning model (CatBoost) for predicting patient survival rates. …”
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Prediction of the remaining useful life of a milling machine using machine learning by Abbas Al-Refaie, Majd Al-atrash, Natalija Lepkova

Subjects: “…Machine Learning…”
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Interpretable Machine Learning Insights into the Factors Influencing Residents’ Travel Distance Distribution by Rui Si, Yaoyu Lin, Dongquan Yang, Qijin Guo

“…Using travel distance data from ride-hailing services, this research divides a study area into 1 × 1 km grid cells, modeling the best travel distance distribution and calculating the coefficients of each grid. A machine learning framework (Extreme Gradient Boosting combined with Shapley Additive Explanations) is introduced to interpret the factors influencing these distributions. …”
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Retracted: Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection by Journal of Food Quality

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Data Expression and Protection of Intellectual Property Education Resources Based on Machine Learning by Meng Mei, Hui Tan

“…The data expression and protection of intellectual property education resources based on machine learning is a kind of protection tool for the intellectual property of education resources developed using the characteristics of automation, real-time monitoring, and growth of machine learning. …”
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Spectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning by Paul A. Constable, Javier O. Pinzon-Arenas, Luis Roberto Mercado Diaz, Irene O. Lee, Fernando Marmolejo-Ramos, Lynne Loh, Aleksei Zhdanov, Mikhail Kulyabin, Marek Brabec, David H. Skuse, Dorothy A. Thompson, Hugo Posada-Quintero

“…Standard time domain and signal analysis features were evaluated in different machine learning models. For ASD classification, a balanced accuracy (BA) of 0.87 was achieved for male participants. …”
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Development and assessment of machine learning models for predicting fatigue response in AA2024 by Jagadesh Kumar Jatavallabhula, Tshepo Gaonnwe, Sibusiso Nginda, Vasudeva Rao Veeredhi

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Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods by JIA Heping, GUO Yuchen, MA Qianxin, YANG Zhenglin, ZHENG Yaxian, ZENG Dan, LIU Dunnan

Subjects: “…national unified electricity market|spot market|electricity price forecasting|machine learning methods…”
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