PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding by Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn

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The Appropriation of Fixed Capital: A Metaphor? by Antonio Negri

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Machine Learning with Administrative Data for Energy Poverty Identification in the UK by Lin Zheng, Eoghan McKenna

“…We evaluate multiple classification algorithms, including Random Forest and XGBoosting, applying resampling and class weighting techniques to address the inherent class imbalance in energy poverty classification. …”
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Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions by Elias Dritsas, Maria Trigka

“…Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological foundations of fields such as political science, economics, and psychology. …”
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Towards a Sustainable Disruptive Growth Model: Integrating Foresight, Wild Cards and Weak Signals Analysis by Rafael Popper, Yuli Villarroel, Raimund Popper

“…This model also explores AI, machine learning, and explainable AI (XAI) in labor market dynamics, where predictive algorithms can identify trends and mitigate systemic risks. …”
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EXPLORING AUTOMATED SUMMARIZATION: FROM EXTRACTION TO ABSTRACTION by Svetlana G. Sorokina

“…Summaries generated by AI models offer new opportunities for analyzing machine-generated language and provide valuable data for studying how algorithms process, condense, and restructure human language.…”
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Design and Implementation of Novel Testing System for Intelligent Tire Development: From Bench to Road by Ti Wu, Xiaolong Zhang, Dong Wang, Weigong Zhang, Deng Pan, Liang Tao

“…This work provides a versatile and reliable platform for advancing intelligent tire technologies, supporting both future research and industrial applications.…”
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%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests by Jacques K. Muthusi, Peter W. Young, Frankline O. Mboya, Samuel M. Mwalili

“…It creates a publication-quality output in Microsoft Word and Excel showing more than 15 different accuracy measures together with overlaid AUROC and AUPRC graphics to help the researcher in making decisions to adopt or reject diagnostic tests. …”
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Blockchain digital forensics: technology and architecture by FAN Wei, LI Haibo, ZHANG Zhujun

“…This framework integrated evidence information into the on-chain data structure and introduced a complementary graph analysis algorithm to standardize evidence collection across various scenarios. …”
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Comparative Analysis of ARIMA and lSTM Predictive Models: Evidence from Russian Stocks by A. V. Alzheev, R. A. Kochkarov

“…These are Python-based algorithms using the Keras, Theano and Statsmodels libraries. …”
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Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling by Yu Li, Xiangjun Liu, Jingwen Zhou, Fengjiao Li, Yuting Wang, Qingzhong Liu

“…To enhance the reliability and scalability of AI in TCM target prediction, future research should prioritize continuous optimization of the AI algorithms using zero-shot learning, end-to-end architectures, and self-supervised contrastive learning.…”
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AN IDEA FOR KNAPSACK CRYPTOSYSTEM BACKDOOR by Mikhail A. Ivanov

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Evaluating Customer Segmentation Techniques in the Retail Sector by Nur Diyabi, Duygu Çakır, Ömer Melih Gül, Tevfik Aytekin, Seifedine Kadry

“…Two datasets were analyzed: a large-scale Turkish market sales dataset and a focused marketing campaign dataset. The research employed a comprehensive methodology encompassing data preparation, algorithm application, and performance evaluation using metrics such as the Calinski-Harabasz Index and Davies- Bouldin score. …”
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Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation by Miguel Martínez-Comesaña, Javier Martínez-Torres, Pablo Eguía-Oller, Javier López-Gómez

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Machine Learning Applications for Predicting High-Cost Claims Using Insurance Data by Esmeralda Brati, Alma Braimllari, Ardit Gjeçi

“…The research analyses the variables of claims, vehicles, and insured parties that influence the classification of high-cost claims. …”
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Applying Machine Learning to Preselective Weighing of Moving Vehicles by Paweł Kowaleczko, Tomasz Kamiński, Mariusz Rychlicki, Zbigniew Kasprzyk, Marek Stawowy, Jacek Trzeszkowski

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Designing an Adaptive Velocity Obstacle Avoidance System for Autonomous Mars Rover Navigation in Dynamic Terrains by Karim Ahmadi Dastgerdi, SeyedehMarziyeh SalehiGhahfarokhi, Sadegh Ahmadi Dastgerdi

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Enhanced Fall Detection and Prediction Using Heterogeneous Hidden Markov Models in Indoor Environment by Oumaima Guendoul, Hamd Ait Abdelali, Youness Tabii, Rachid Oulad Haj Thami, Omar Bourja

“…To enhance prediction accuracy, future research could focus on incorporating additional data sources and expanding the dataset. …”
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Traffic Classification in Software-Defined Networking Using Genetic Programming Tools by Spiridoula V. Margariti, Ioannis G. Tsoulos, Evangelia Kiousi, Eleftherios Stergiou

“…Although there are enough research works that have studied traffic classification methods in SDN environments, they have several shortcomings and gaps that need to be further investigated. …”
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Digital Pathology Tailored for Assessment of Liver Biopsies by Alina-Iuliana Onoiu, David Parada Domínguez, Jorge Joven

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