Lepton flavor-violating Higgs decays mediated by ultralight gauge boson by Marcela Marín, R. Gaitán, R. Martinez

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Transformer Inrush Current and Internal Fault Discrimination Using Multitypes of Convolutional Neural Network Techniques by Abedalgany Abedallah Athamneh, Ali Mohammad Alqudah

“…The performance of the proposed models is tested using a dataset prepared according to laboratory-measured transformer parameters. …”
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A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification by Sudeep Thepade, Rik Das, Saurav Ghosh

“…The proposed algorithm has been tested on a public dataset and has been compared with existing widely used techniques using binarization for extraction of features. …”
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Effect of pH on the Phase Equilibrium of a Ternary Mixture of Neopentyl Glycol, Salt, and Water by Y. Zhang, D. G. Li

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Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar, Tanuj Chopra

“…R is digging out a strong foothold in the statistical realm and is becoming an indispensable tool for researchers. The dataset has been generated under controlled laboratory conditions. …”
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FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining by K. R. Seeja, Masoumeh Zareapoor

“…This paper proposes an intelligent credit card fraud detection model for detecting fraud from highly imbalanced and anonymous credit card transaction datasets. The class imbalance problem is handled by finding legal as well as fraud transaction patterns for each customer by using frequent itemset mining. …”
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Mentoring women in STEM: empowering through social technologies for enhanced inclusivity and professional growth. A case study by Coral J. Pacheco Figueroa, Mayra A. Alvarez Lemus

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Dynamic Car-Following Model With Jerk Suppression for Highway Autonomous Driving by Ke Liu, Jing Ma, Edmund M.-K. Lai

“…Reinforcement learning models trained with this strategy result in enhanced safety and driving comfort, validated using real driving data from the Next Generation Simulation (NGSIM) I-80 and HighD datasets. Simulation results demonstrate significant reduction in the risk of collisions. …”
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Urban Road Landscape Design and Digital Twin Simulation Modeling Analysis by Nan Yin, Minghui Cai

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Classification of diabetic retinopathy stages based on neural networks by M. M. Lukashevich, Y. I. Golub

“…Recommendations for the selection of the size of the initial retinal images and the preprocessing stage (cropping) are given As a result of the performed experimental research. Analysis of the dataset was performed. Neural network models were trained and results were evaluated with class imbalance taken into account.…”
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Fault Detection and Diagnosis in Process Data Using Support Vector Machines by Fang Wu, Shen Yin, Hamid Reza Karimi

“…Some common faults of the Tennessee Eastman Process (TEP) are analyzed in terms of the practical system and reflections of the dataset. PCA-SVM and SVM-RFE can effectively detect and diagnose these common faults. …”
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Spam Email Detection using Naïve Bayes classifier by Wang Liansong

“…By delving into the fundamental principles of this classifier, its practical implementation, and the comprehensive evaluation of its performance on a combined dataset, its strengths and limitations in distinguishing spam from ham messages are revealed. …”
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The Influence of Personality Traits on Household Financial Decisions: Evidence from 31 European Countries by Júlio Lobão, Rashed Isam Ashqar

“…This study examines the impact of personality traits on household finance across 31 European countries, utilizing the European Union Statistics on Income and Living Conditions (EU-SILC) dataset from Eurostat. We employ logistic regression analysis to investigate the relationship between personality traits and three key dimensions of household finance: the likelihood of holding secured debts, the probability of experiencing financial distress, and the state of financial well-being. …”
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Uniform stabilization of a coupled structural acoustic system by boundary dissipation by Mehmet Camurdan

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Performance Analysis of Ultra-Wideband Channel for Short-Range Monopulse Radar at Ka-Band by Naohiko Iwakiri, Natsuki Hashimoto, Takehiko Kobayashi

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Data Adaptive Spectral Analysis of Unsteady Leakage Flow in an Axial Turbine by Konstantinos G. Barmpalias, Ndaona Chokani, Anestis I. Kalfas, Reza S. Abhari

“…Unlike conventional spectral analysis, this method adapts a model dataset to the actual data. The method is illustrated from the analysis of the unsteady wall pressures in the labyrinth seal of an axial turbine. …”
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What the Seasons Tell Us. The Monthly Movement of Marriages, Economic Modernization, and Secularization in the Netherlands, 1810-1940 by Theo Engelen

“…The analysis is based on the LINKS dataset which currently includes almost 2 million marriages that were contracted in seven Dutch provinces: Groningen, Drenthe, Overijssel, Gelderland, Noord-Holland, Zeeland and Limburg. …”
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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…This paper introduces a novel feature engineering method that circumvents these limitations by amalgamating two feature sets derived from input data to generate a new dataset, which is then subjected to feature selection. …”
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The Recognition of Holy Qur’an Reciters Using the MFCCs’ Technique and Deep Learning by Ghassan Samara, Essam Al-Daoud, Nael Swerki, Dalia Alzu’bi

“…In this study, we propose a deep learning model using convolutional neural networks (CNNs) and a dataset consisting of seven well-known reciters. We utilize mel frequency cepstral coefficients (MFCCs) to extract and evaluate information from audio sources. …”
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Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968 by Luciana Quaranta

“…This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. …”
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