Comparing traditional and machine learning techniques in apartments mass appraisal in Fortaleza, Brazil by Antônio Augusto Ferreira de Oliveira, Fabián Reyes-Bueno, Marco Aurelio Stumpf Gonzalez, Éverton da Silva

“…Mass appraisal has significant applications, such as urban planning, real estate appraisal, and property tax. …”
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Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane, Daniel Maposa

“…Future research could focus on enhancing prediction accuracy through hybrid algorithms and incorporating additional meteorological variables. …”
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Inventory Model for Instantaneously Deteriorating Items with Multiple Trade Facilities, Stock- and Price-Dependent Demand, and Full Backlogging by Rabeya Sarker, Md. Sharif Uddin, Md Abu Helal, Aminur Rahman Khan, Ali AlArjani, El-Awady Attia

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Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning by Ray-I Chang, Chih-Yung Tsai, Yu-Wei Chang

“…Accurate forecasting of inbound visitor numbers is crucial for effective planning and resource allocation in the tourism industry. …”
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A hybrid Bayesian network-based deep learning approach combining climatic and reliability factors to forecast electric vehicle charging capacity by David Chunhu Li

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MEAT TRADE DYNAMICS: MONTHLY PATTERNS IN ROMANIA’S IMPORTS (CMA AND HOLT-WINTERS METHODS) by Aurelia Vasilica BĂLAN, Elena TOMA

“…The analysis aims to project the values of meat imports until May 2025 by using various forecasting algorithms to understand import trends and seasonality. …”
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Data-Driven ANN-Based Predictive Modeling of Mechanical Properties of 5Cr-0.5Mo Steel: Impact of Composition and Service Temperature by Muhammad Ishtiaq, Saurabh Tiwari, Molakatala Nagamani, Sung-Gyu Kang, Nagireddy Gari Subba Reddy

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Unsupervised machine learning with different sampling strategies and topographic factors for distinguishing between landslide source and runout areas to improve landslide inventory... by Jhe-Syuan Lai, Jun-Yi Huang, Hong-Mao Huang, Yung-Chung Chuang

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Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in nor... by Jian Wu, Soumitra S Bhuyan, Xiaoli Fu, Quanman Li, Clifford Silver Tarimo, Michael Johnson J Mahande

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Artificial Intelligence and Breast Cancer Management: From Data to the Clinic by Kaixiang Feng, Zongbi Yi, Binghe Xu

“…Furthermore, this article emphasizes the significance of constructing patient‐oriented AI algorithms. Additionally, we explore the opportunities and potential research directions within this burgeoning field.…”
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Ways to integrate artificial intelligence technologies into training programs for government and municipal employees by A. O. Bidzhiev, L. A. Filimoniuk

“…According to the results of the study, the most common problems of integrating AI technologies into training programs are the shortage of qualified personnel, the lack of modern technical infrastructure and the low level of development of the relevant regulatory and legal framework – can be solved through large-scale cooperation with relevant companies, the creation of virtual laboratories using cloud platforms, as well as the formation of information and analytical systems containing auxiliary technologiesAt the same time, the actions of educational institutions within the framework of each approach require advance planning and should be carried out according to certain sequential algorithms.…”
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Energy management in networked microgrids: A comparative study of hierarchical deep learning and predictive analytics techniques by Nima Khosravi, Adel Oubelaid, Youcef Belkhier

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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…The study also examined specific AI considerations, such as algorithmic bias, model explainability, and the application of advanced cryptographic techniques. …”
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Enhanced Brain Tumor Segmentation Using CBAM-Integrated Deep Learning and Area Quantification by Rafiqul Islam, Sazzad Hossain

“…The qualitative metrics typically analyze the overlap between predicted tumor masks and ground truth annotations, providing information on the segmentation algorithms’ accuracy and dependability. …”
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Examining the role of social media in fostering responsible consumption: Insights from Bitcoin Adoption trends (2015–2023) by Yu Ge, Haochuan Wang, Kenny Soon Lee Cheah, Azni Zarina Binti Taha

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Microgrid Resilience Enhancement with Sensor Network-Based Monitoring and Risk Assessment Involving Uncertain Data by Tangxiao Yuan, Kossigan Roland Assilevi, Kondo Hloindo Adjallah, Ayité Sénah A. Ajavon, Huifen Wang

“…At the application level, this framework is successfully applied to two critical decision-making scenarios: the first is to optimize the power allocation strategy between solar energy and the auxiliary grid, aiming to maximize cost efficiency and minimize power outage losses; the second is to develop low-risk maintenance plans based on the predicted failure probabilities of microgrid components with uncertain information. …”
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Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions by Kushagra Agrawal, Polat Goktas, Navneet Kumar, Man-Fai Leung

“…This study aims to present a comprehensive review of AI-driven innovations that enable precision nutrition through real-time dietary recommendations, meal planning informed by individual biological markers (e.g., blood glucose or cholesterol levels), and adaptive feedback systems. …”
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Modeling Techniques and Boundary Conditions in Abdominal Aortic Aneurysm Analysis: Latest Developments in Simulation and Integration of Machine Learning and Data-Driven Approaches by Burcu Ramazanli, Oyku Yagmur, Efe Cesur Sarioglu, Huseyin Enes Salman

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Improving Barcode Vision Scanning Process using a Drone-based Tracking PID Controller for Warehouse in Industry 4.0 by Samer Al-hamadani, Izzat Al-Darraji, Houssem Jerbi

“…PID computer vision algorithms are capable of analysing visual data acquired from the drone’s cameras and retrieving barcode information under a variety of situations, such as the size of the barcode, location of the barcode and noise of the warehouse environment. …”
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Physiological and behavioral data on active and traditional learning in engineering educationMendeley Data by José Roberto Dale Luche, Claudia Regina de Freitas, Blaha Gregory Correia dos Santos Goussain, Messias Borges Silva

“…This dataset comprises information gathered from an experiment designed to examine learning engagement and physiological responses in students exposed to different teaching methodologies. …”
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