New Insights on Cosmic Ray Modulation through a Joint Use of Nonstationary Data-Processing Methods by A. Vecchio, M. Laurenza, M. Storini, V. Carbone

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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

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Emerging trends in social media marketing: a retrospective review using data mining and bibliometric analysis by Abu Bashar, Mohammad Wasiq, Brighton Nyagadza, Eugine Tafadzwa Maziriri

“…Abstract The study conducts a comprehensive retrospective analysis of the social media marketing literature along with text mining and bibliometric analysis using data obtained from the Scopus database. The analysis is conducted for the literature published during 2007–2022 using VOSviewer application and Biblioshiny. …”
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Hydrate-Bearing Sediment Imaging of Ghost Reflection in Vertical Cable Seismic Data Using Seismic Interferometry by Linfei Wang, Zhong Wang, Huaishan Liu, Jin Zhang, Lei Xing, Yanxin Yin

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Using the basic reproduction ratio to quantify transmission and identify data gaps for epizootic haemorrhagic disease virus by Simon Gubbins

“…Using data from the published literature the parameters needed to calculate R0 were estimated with Bayesian methods to incorporate uncertainty in the calculations. …”
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Impact of Data Distribution and Bootstrap Setting on Anomaly Detection Using Isolation Forest in Process Quality Control by Hyunyul Choi, Kihyo Jung

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Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq by Baghdad Science Journal

“…The aim of this study is to investigate the ability of fuzzy inference system for estimating monthly pan evaporation form meteorological data. The study has been carried out depending on 261 monthly measurements of each of temperature (T), relative humidity (RH), and wind speed (W) which have been available in Emara meteorological station, southern Iraq. …”
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A Scalable Framework for Post Fire Debris Flow Hazard Assessment Using Satellite Precipitation Data by Elijah Orland, Dalia Kirschbaum, Thomas Stanley

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Using Physical Parameters for Phase Prediction of Multi-Component Alloys by the Help of TensorFlow Machine Learning with Limited DataUsing Physical Parameters for Phase Prediction... by Kağan Şarlar

“…It has been observed that this learning method predicts the structure correctly in 95% of the results with limited data.…”
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Predicting Weather Disruptions for the ICC Champions Trophy 2025 in Pakistan Using Machine Learning and Data Analytics by Syeda Faiza Nasim, Umm-e-Kulsoom, Syeda Alishba Fatima, Salka Naushad

“…Our approach comprised combining real-time analytics with historical weather data from Open-Meteo, as well as using Python tools and the Machine Learning algorithm to predict rain during a game. …”
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Misrepresentation of Overall and By-Gender Mortality Causes in Film Using Online, Crowd-Sourced Data: Quantitative Analysis by Calla Glavin Beauregard, Christopher M Danforth, Peter Sheridan Dodds

“…ObjectiveIn this study, for the top 10 major causes of death in the United States, we aimed to examine how cinematic representation overall and by-gender mortality diverges from reality. MethodsUsing crowd-sourced data on over 68,000 film deaths from Cinemorgue Wiki, we employ natural language processing techniques to analyze shifts in representation of deaths in movies versus the 2021 National Vital Statistics Survey top 10 mortality causes. …”
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Public Perception of Autonomous Mobility Using ML-Based Sentiment Analysis over Social Media Data by Nikolaos Bakalos, Nikolaos Papadakis, Antonios Litke

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Algorithm development for recognizing human emotions using a convolutional neural network based on audio data by V. V. Semenuk, M. V. Skladchikov

“…Image processing methods are used.Results. The proposed algorithm makes it possible to recognize the emotional states of the subject on the basis of an audio data set. …”
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Surveying the knowledge of pregnant women towards sport activities during pregnancy using data mining algorithms by Fatemeh Bagherı, Fatemeh Islamı, Fatemeh Mohammadı

“…The purpose of this study is to research the knowledge of pregnant women towards sport activities using data mining algorithms. Statistical population includes all healthy pregnant women referring to health centers in Gorgan city (Iran) in 2014 from which 429 were chosen as the sample using cluster random sampling. …”
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Origin-destination prediction from road average speed data using GraphResLSTM model by Guangtong Hu, Jun Zhang

“…We use a real-world road network to generate road average speed data and OD data through simulations in Simulation of Urban Mobility (SUMO), thereby avoiding the influence of external factors such as weather. …”
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Interaction Prediction on BACE-1 Inhibitors Data for Alzheimer Disease using Message Passing Neural Network by Bihter Daş, Suat Toraman

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Energy-efficient joint performance optimization of cloud data centre users/operator using memetic algorithm by Pejman Goudarzi, Farima Ayatollahi, Jaime Lloret

“…The use of cloud computing as a cost-effective and flexible method has currently drawn the attention of cloud service providers. …”
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Comparative Analysis of Machine Learning Algorithms for Predicting Patient Admission in Emergency Departments Using EHR Data by Ahmad Abdul Chamid, Ratih Nindyasari, Muhammad Imam Ghozali

“…The model that has been obtained is then evaluated for its performance using a confusion matrix and several matrices such as accuracy, precision, recall, and F1-Score. …”
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Optimized aspect level sentiment analysis of tweet data using deep learning and rule-based techniques by S. N. Enemuo, O. N. Akande, M. O. Lawrence, I. C. Saidu

“…A total of 26,401 tweets about the security situation in Nigeria were used as the test data. Most tweets in the Nigerian Twitter space are expressed in Pidgin language, which is a blend of English and local words, therefore, a rule-based technique was used to capture the local words and abbreviated character representations used in the Nigerian tweet data used for testing. …”
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Teacher evaluation – A resource for teaching quality or a burden? An analysis using TALIS 2018 data by Michael Rochnia, Annika Lang, Eileen Rolka, Pauline Blumental

“…This controversy is addressed in this population-descriptive study that models the positive and negative effects of principal-led and teacher-led teacher evaluation using TALIS 2018 data (n = 103098). The results show that principal-led teacher evaluation may contribute to clarifying instructions, but teacher-led teacher evaluation predicts cognitive activation. …”
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