Unearthing large pseudoscalar Yukawa couplings with machine learning by Fernando Abreu de Souza, Rafael Boto, Miguel Crispim Romão, Pedro N. Figueiredo, Jorge C. Romão, João P. Silva

“…To explore the parameter space of the model, we employ a Machine Learning algorithm that significantly enhances sampling efficiency. …”
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Using machine learning to identify audit opinion shopping by Jiamei Wang, Chao Yan

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Three Machine Learning Techniques for Melanoma Cancer Detection by Hadi Naghavipour, GholamReza Zandi, Abdulaziz Al-Nahari

“…The application of machine learning technologies for cancer detection purposes are rising due to their ever-increasing accuracy. …”
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Machine learning for smart health and distributed biomedical services by Chinmay Chakraborty, Saïd Mahmoudi, Guangjie Han, Rubén González Crespo

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Machine Learning Models to Predict Google Stock Prices by Cosmina Elena Bucura, Paolo Giudici

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Machine learning approach for optimizing usability of healthcare websites by Amandeep Kaur, Jaswinder Singh, Satinder Kaur

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Exploring Gender Differences in Fatwa through Machine Learning by Emad Mohamed, Raheem Sarwar

“…Our methodology involves comprehensive experimental analysis, utilizing advanced Arabic text preprocessing alongside machine learning algorithms. We concentrate on two primary objectives: predicting the gender of the questioner and forecasting the popularity of answers. …”
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Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

“…Classification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. …”
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Machine learning assisted classification of staphylococcal biofilm maturity by S.C.J. van Dun, R. Knol, A.S. Silva-Herdade, A.S. Veiga, M.A.R.B. Castanho, P.H. Nibbering, B.G.C.W. Pijls, A.M. van der Does, J. Dijkstra, M.G.J. de Boer

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Applying Machine Learning on Big Data With Apache Spark by Elias Dritsas, Maria Trigka

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Artificial Intelligence and Machine Learning at the Intersection of Privacy and Archives by Iori Khuhro, Erin Gilmore, Jim Suderman, Darra L. Hofman

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Machine-learning based high-bandwidth magnetic sensing by Galya Haim, Stefano Martina, John Howell, Nir Bar-Gill, Filippo Caruso

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Risk Assessment of Hip Fracture Based on Machine Learning by Alessio Galassi, José D. Martín-Guerrero, Eduardo Villamor, Carlos Monserrat, María José Rupérez

“…Machine Learning (ML) models are models able to learn and to make predictions from data. …”
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Machine Learning Techniques for Kinship Verification: A Review by Olivia Oraha, Yusra Mohammad

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Using Machine Learning to Predict Linezolid-Associated Thrombocytopenia by Wei R, Li K, Wang H, Cai X, Liu N, An Z, Zhou H

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Prediction of earthquake by machine learning models and neural network by Xu Bohong

“…Earthquake prediction, in this article, is executed with a neural network and machine learning models. After reading many articles, the author discovered that not many articles use a fully connected neural network to predict earthquake magnitude. …”
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Machine Learning and Neural Networks for IT-Diagnostics of Neurological Diseases by U. A. Vishniakou, Y. W. Xia, Ch. Y. Yu

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Detection of pediatric developmental delay with machine learning technologies. by Shin-Bo Chen, Chi-Hung Huang, Sheng-Chin Weng, Yen-Jen Oyang

“…We then built 3 types of machine learning based prediction models, namely the deep neural network models (DNN), the support vector machine (SVM) models, and the decision tree (DT) models, to evaluate the effectiveness of the proposed approach.…”
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Prediction of induction motor faults using machine learning by Ademola Abdulkareem, Tochukwu Anyim, Olawale Popoola, John Abubakar, Agbetuyi Ayoade

“…Predictive maintenance, utilizing advanced technologies like data analytics, machine learning, and IoT devices, offers real-time equipment data monitoring and analysis. …”
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Simulation of granular flows and machine learning in food processing by X. Cui, D. Adebayo, H. Zhang, M. Howarth, A. Anderson, T. Olopade, K. Salami, S. Farooq

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