USING MACHINE LEARNING METHODS FOR PREDICTION OF DURABLE ECONOMIC DEVELOPMENT: ROMANIA CASE STUDY by Dumitrel-Victor TIȚA, Daniel NIJLOVEANU, Nicolae BOLD, Doru-Anastasiu POPESCU

“…After using traditional statistic methods for presenting these correlations, we will create trend predictions using Machine Learning (ML) methods using the traditional ML methodology. …”
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FedRSC: A Federated Learning Analysis for Multi-Label Road Surface Classifications by Ioannis V. Vondikakis, Ilias E. Panagiotopoulos, George J. Dimitrakopoulos

“…For this reason, it is important to analyze road conditions in order to improve traffic safety, optimize fuel efficiency, and provide a smoother travel experience. This research presents a federated learning analysis that brings together edge computing and cloud technology, by identifying various road conditions through a multi-label road surface classification analysis. …”
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autoMEA: machine learning-based burst detection for multi-electrode array datasets by Vinicius Hernandes, Anouk M. Heuvelmans, Anouk M. Heuvelmans, Valentina Gualtieri, Dimphna H. Meijer, Geeske M. van Woerden, Geeske M. van Woerden, Geeske M. van Woerden, Eliska Greplova

“…However, this analysis remains time-consuming, user-biased, and limited by pre-defined parameters. Here, we present autoMEA, software for machine learning-based automated burst detection in MEA datasets. …”
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Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization by Kaiyin Lu, Xinguang Zhang, Tianbo Zhai, Mengjie Zhou

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Computational models based on machine learning and validation for predicting ionic liquids viscosity in mixtures by Bader Huwaimel, Jowaher Alanazi, Muteb Alanazi, Tareq Nafea Alharby, Farhan Alshammari

“…Abstract This research article presents a thorough and all-encompassing examination of predictive models utilized in the estimation of viscosity for ionic liquid solutions. …”
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Sensitizing Teachers and Students on Group Work and Cooperative Learning as Techniques for Writing Teaching Quality by Said KESKES

“…The present study attempts to promote Cooperative learning (CL) through group work by exploring teachers’ and students’ attitudes and readiness towards the introduction of theses techniques, as innovating tools for teaching writing. …”
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Modeling of injury severity of distracted driving accident using statistical and machine learning models. by Neero Gumsar Sorum, Martina Gumsar Sorum

“…The increase in the number of distracted driving accidents (DDAs) is one of the concerns among transportation communities. The present study aimed to examine the individual and interacted effects of the influential factors on the injury severity of the DDAs using the Binary Logistic Regression (BLR) method, and at the same, to select the best machine learning (ML) model in predicting the injury severity of the DDA. …”
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Regional resource platform for lifelong learning as a potential for improving professional competences of teachers by Zhanna V. Murzina, Tamara V. Andrushchenko

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The Role of AI, Blockchain, Cloud, and Data (ABCD) in Enhancing Learning Assessments of College Students by Joel Mark Rodriguez, Genesis Austria, Glen Millar

“…Originality/value: The present research adds to the Technology Acceptance Model (TAM) and Constructivist Learning Theory (CLT) by emphasizing the role of context and institutional drivers in the adoption of technology. …”
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A Navigation Algorithm Based on the Reinforcement Learning Reward System and Optimised with Genetic Algorithm by Mireya Cabezas-Olivenza, Ekaitz Zulueta, Iker Azurmendi-Marquinez, Unai Fernandez-Gamiz, Danel Rico-Melgosa

“…In this research study, a system based on the principles of reinforcement learning, specifically on the concept of rewards, is presented. …”
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De Olho na Mata: monitoring Atlantic Forests with drones and few-shot learning by A. A. Pedro, F. Dadrass Javan, S. Georgievska, E. H. P. Barreto, O. Ku, F. de Oliveira, P. D. P. Oliveira, C. Gevaert

“…It describes best practices on how to conduct drone flights to map the forests, exponentially expanding the range of identification and efficiency in invasive tree species management. It also presents an AI workflow that uses few-shot learning and Explainable AI techniques (to guarantee transparency and understanding of the decisions made by the algorithms). …”
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A machine learning neural network architecture for the accelerating universe based modified gravity by Zulqurnain Sabir, Basma Souayeh, Zahraa Zaiour, Alyn Nazal, Mir Waqas Alam, Huda Alfannakh

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Lessons Learned from a Case of Abdominal Aortic Aneurysm Accompanied by Unstable Coagulopathy by Katsuyuki Hoshina, Makoto Kaneko, Akihiro Hosaka, Hiroyuki Okamoto, Kunihiro Shigematsu, Tetsuro Miyata

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Merging holography, fluorescence, and machine learning for in situ continuous characterization and classification of airborne microplastics by N. D. Beres, N. D. Beres, J. Burkart, J. Burkart, E. Graf, Y. Zeder, L. A. Dailey, B. Weinzierl

“…</p> <p>In this study, we present results using an online in situ airflow cytometer (SwisensPoleno Jupiter; Swisens AG; Emmen, Switzerland) – coupled with machine learning – to detect, analyze, and classify airborne single-particle MPs in near real time. …”
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Leveraging learned monocular depth prediction for pose estimation and mapping on unmanned underwater vehicles by Marco Job, Marco Job, David Botta, Victor Reijgwart, Luca Ebner, Andrej Studer, Roland Siegwart, Eleni Kelasidi, Eleni Kelasidi, Eleni Kelasidi

“…This paper presents a general framework that integrates visual and acoustic sensor data to enhance localization and mapping in complex, highly dynamic underwater environments, with a particular focus on fish farming. …”
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The needs and preferences of general practitioners regarding their CPD learning: a Free State perspective by J. Botes, J. Bezuidenhout, W. J. Steinberg, G. Joubert

“…Needs and preferences regarding learning opportunities and factors influencing usage of these learning opportunities were assessed. …”
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Enhanced Artificial Rabbit Optimization with attention-based deep learning for leukemia cancer classification by Sabita Rani Behera, Bibudhendu Pati, Devee Sivaprasad Dulam

“…Methods The research work presents a model-Enhanced Artificial Rabbit Optimization with Attention-based Deep Learning for Leukemia cancer classification (EAROADL-LCC) by using microscopic images. …”
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An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security by J. Maruthupandi, S. Sivakumar, B. Lakshmi Dhevi, S. Prasanna, R. Karpaga Priya, Shitharth Selvarajan

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Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…One significant branch of modern control algorithms concerns reinforcement learning, a data-driven strategy capable of dynamically managing renewable energy sources and other energy subsystems under uncertainty and real-time constraints. …”
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A REVIEW OF THE PRACTICE OF WORK-BASED LEARNING (WBL) AT HIGHER EDUCATION LEVEL IN THE UK by J. Talbot, C. Costley, M. A. Dremina, V. A. Kopnov

“…The aim of the study is to review the practice of work-based learning (WBL), based on the experience of higher education institutions in the United Kingdom.Methods. …”
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