Development of a Forecasting Framework Based on Advanced Machine Learning Algorithms for Greenhouse Gas Emissions by Seval Ene Yalçın

“…To achieve this aim and implement the necessary strategies and policies, the projection of greenhouse gas emissions is essential. This paper presents a forecasting framework for greenhouse gas emissions based on advanced machine learning algorithms: multivariable linear regression, random forest, k-nearest neighbor, extreme gradient boosting, support vector, and multilayer perceptron regression algorithms. …”
Get full text

Reinforcement learning-driven task migration for effective temperature management in 3D noc systems by Jingyi Tang, Jun Hong

“…The rise in power density and heat hotspots in multi-core systems presents considerable problems to reliability and performance. …”
Get full text

A mathematical PAPR estimation of OTFS network using a machine learning SVM algorithm by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…The article presents a Support Vector Machine (SVM) algorithm to lower the peak-to-average power ratio (PAPR) in networks that work in orthogonal time frequency space (OTFS). …”
Get full text

Biomechanics of Parkinson’s Disease with Systems Based on Expert Knowledge and Machine Learning: A Scoping Review by Luis Pastor Sánchez-Fernández

“…However, there are no reviews on this topic. This paper presents a scoping review of computer models based on expert knowledge and machine learning (ML). …”
Get full text

Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis by Junjie Ma, Fang Yang, Rong Yang, Yuan Li, Yongjing Chen

“…The proposed approach then employs the Explainable Artificial Intelligence (XAI) technique, namely Local Interpretable Model-Agnostic Explanations (LIME), to present insights and transparency through visualizations into the model's decision-making process. …”
Get full text

Impact of Online Learning in India: A Survey of University Students During the COVID-19 Crisis by Manash Pratim Goswami, Jyoti Thanvi, Soubhagya Ranjan Padhi

“…The unprecedented situation of COVID-19 caused the government of India to instruct educational institutions to switch to an online mode to mitigate the losses for students due to the pandemic. The present study attempts to explore the impact of online learning introduced as a stop-gap arrangement during the pandemic in India. …”
Get full text

Evaluation of Flange Grease on Revenue Service Tracks Using Laser-Based Systems and Machine Learning by Aditya Rahalkar, S. Morteza Mirzaei, Yang Chen, Carvel Holton, Mehdi Ahmadian

“…This study presents a machine learning approach for estimating the presence and extent of flange-face lubrication on a rail. …”
Get full text

Emotional factor matters in language learning? A meta-analysis of emotional intelligence on language achievement by Qiao Peng, Li Shuhong

“…Publication trends in this area reveal two distinct phases: a period of lukewarm attention (2009–2017), followed by a phase of rapid growth (2018–present). The present meta-analysis aims to determine whether EI significantly influences language achievement. …”
Get full text

Mapping the Green Urban: A Comprehensive Review of Materials and Learning Methods for Green Infrastructure Mapping by Dino Dobrinić, Mario Miler, Damir Medak

“…Green infrastructure (GI) plays a crucial role in sustainable urban development, but effective mapping and analysis of such features requires a detailed understanding of the materials and state-of-the-art methods. This review presents the current landscape of green infrastructure mapping, focusing on the various sensors and image data, as well as the application of machine learning and deep learning techniques for classification or segmentation tasks. …”
Get full text

The Impact of Distance Learning on Student’s Attention During the Covid-19 Pandemic: A Social Experiment by Željko Gavrić, Aleksandar Janković

“…The research revealed that, despite numerous “distracting factors” in the home environment that can diminish students’ attention during distance learning, a teacher’s emphasis on the importance of the presented instructional material positively influences an increase in students’ visual attention.…”
Get full text

Computerized diagnosis of prostate cancer based on whole slide histology images and deep learning methods by V. A. Kovalev, D. M. Voynov, V. D. Malyshau, E. D. Lapo

Get full text

Short-Term Electric Load Forecasting for an Industrial Plant Using Machine Learning-Based Algorithms by Oğuzhan Timur, Halil Yaşar Üstünel

“…Recent studies have emphasized the pervasive utilization of machine learning-based algorithms in the field of electric load forecasting for industrial plants. …”
Get full text

E-Learning challenges in Iran's higher education system and its implications in the realm of good governance by Seyed Javad SALEHI, Seyedeh Maryam Hosseini LARGANI

“…The aim of this study is to examine the present status of e-learning in Iran's higher education system and its shortcomings structurally. …”
Get full text

ORGANIZATION OF STUDENTS’ INDEPENDENT WORK IN STUDYING PHYSICS BASED ON DISTANCE LEARNING TECHNOLOGY IN LMS MOODLE by Viktor Yu. Shurygin, Lyubov A. Krasnova

“…Presented experience of independent work of students in studying physics course based on e-learning courses can be used in various educational institutions of higher education.…”
Get full text

A systematic review of reinforcement learning-based control for microgrids: trends, challenges, and emerging algorithms by A. V. Waghmare, V. P. Singh, T. Varshney, P. Sanjeevikumar

“…This article provides systematic review to follow a thorough evaluation of the present status of research on reinforcement learning (RL)-based microgrid control. …”
Get full text

Advancing Foundry Training Through Virtual Reality: A Low-Cost, Immersive Learning Environment by Anson Fry, Ismail Fidan, Eric Wooldridge

“…Metal casting foundries present hazardous working conditions, making traditional training methods costly, time-consuming, and potentially unsafe. …”
Get full text

A Hybrid Approach to Traffic Incident Management: Machine Learning-Based Prediction and Patrol Optimization by Yusuf Sait Turkan, Mesut Ulu

“…The successful prediction results are then used as inputs in the patrol assignment optimization model. The presented model was tested in a pilot region defined in Istanbul, and the results demonstrated that the machine learning-based model reduced the response time to traffic incidents, transportation costs, and was effective in reducing carbon emissions in the police assignment problem.…”
Get full text

Deep Speech Synthesis and Its Implications for News Verification: Lessons Learned in the RTVE-UGR Chair by Daniel Calderón-González, Nieves Ábalos, Blanca Bayo, Pedro Cánovas, David Griol, Carlos Muñoz-Romero, Carmen Pérez, Pere Vila, Zoraida Callejas

Get full text

Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach by Przemysław Sekuła, Narjes Shayesteh, Qinglian He, Sara Zahedian, Rodrigo Moscoso, Michał Cholewa

“…This paper presents the results of the Move Over law compliance study. …”
Get full text

Deep Learning-Based Safety Helmet Detection in Engineering Management Based on Convolutional Neural Networks by Yange Li, Han Wei, Zheng Han, Jianling Huang, Weidong Wang

“…The experiment results demonstrate that the presented deep learning-based model using the SSD-MobileNet algorithm is capable of detecting the unsafe operation of failure of wearing a helmet at the construction site, with satisfactory accuracy and efficiency.…”
Get full text