PRACTICUM IMPLEMENTATION ANALYSIS IN CHEMISTRY LEARNING IN HIGH SCHOOL IN BANDA ACEH by Hilda Yusmarina, Latifah Hanum, Ratu Fazlia Inda Rahmayani

Get full text

A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering by Zhongzhe Chen, Xing Gao

Get full text

ATLAS: Machine learning-enhanced filament analysis for the In Vitro Motility Assay by Sebastian Duno-Miranda, David M. Warshaw, Shane R. Nelson

“…Although the assay itself is well suited for high-throughput application, current video analysis approaches are slow, labor intensive, and subject to human bias. …”
Get full text

DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers by Luc Lerch, Luc Lerch, Lukas S. Huber, Lukas S. Huber, Amith Kamath, Alexander Pöllinger, Aurélie Pahud de Mortanges, Verena C. Obmann, Florian Dammann, Walter Senn, Walter Senn, Mauricio Reyes, Mauricio Reyes, Mauricio Reyes

“…PurposeSuccessful performance of deep learning models for medical image analysis is highly dependent on the quality of the images being analysed. …”
Get full text

Exploring Studies on Multimodal Literacy in English Learning: A Bibliometric Analysis by Ivan Samuel Christian, Zuliati Rohmah, Ilyana Jalaluddin

“…This study focuses on analyzing the productivity of research in multimodal literacy in English learning by using bibliometric analysis. A total of 345 articles from the Scopus database were retrieved using keyword searches. …”
Get full text

Online Behavior Analysis-Based Student Profile for Intelligent E-Learning by Kun Liang, Yiying Zhang, Yeshen He, Yilin Zhou, Wei Tan, Xiaoxia Li

Get full text

Sentiment analysis of emoji fused reviews using machine learning and Bert by Amit Khan, Dipankar Majumdar, Bikromadittya Mondal

“…In Spite of the fact that these elements are a significant part of the review comment provided by the customer, it is a common practice among the contemporary researchers to eliminate them right at the data-cleaning or the preprocessing stage. With an objective to provide a solution to the above drawback, we present a novel approach that performs sentiment analysis, with effective utilization of emojis and emoticons, upon the US Airline tweet dataset using various Machine Learning classifiers and the BERT model. …”
Get full text

Optimizing machine learning for enhanced automated ECG analysis in cardiovascular healthcare by Keyi Tang, Shuyuan Ma, Xiaohui Sun, Dongfang Guo

“…However, these devices generate vast amounts of ECG data that require interpretation, underscoring the need for reliable automated ECG analysis methods. …”
Get full text

Stroke Prediction Analysis using Machine Learning Classifiers and Feature Technique by Md. Monirul Islam, Sharmin Akter, Md. Rokunojjaman, Jahid Hasan Rony, Al Amin, Susmita Kar

Get full text

Mobile-Assisted Language Learning through Interaction Applications: Analysis and Evaluation by Eleftheria Alexiadou, Areti-Maria Sougari

Get full text

Analysis of the Effectiveness of Traditional and Ensemble Machine Learning Models for Mushroom Classification by Neny Sulistianingsih, Galih Hendro Martono

“…Overall, this study highlights the importance of algorithm selection tailored to data characteristics and supports the use of ensemble learning to boost predictive reliability. …”
Get full text

Analysis of Adaptive Reasoning Ability in Middle School Students Mathematics Learning by Dela Amelia Putri, Attin Warmi

Get full text

Capturing the Complex: An Intraindividual Temporal Network Analysis of Learning Resource Regulation by Bettina Harder, Nick Naujoks-Schober, Manuel D. S. Hopp

“…Therefore, the current study addresses the complex interplay between learning resources (educational and learning capitals) in an individual learner (<i>N</i> = 1) by utilizing multivariate time series data of a 50-day vocabulary learning process with daily assessments of learning resource availability, performance, learning duration, and stress. …”
Get full text

Comparative analysis of machine learning models for the detection of fraudulent banking transactions by Pedro María Preciado Martínez, Ricardo Francisco Reier Forradellas, Luis Miguel Garay Gallastegui, Sergio Luis Náñez Alonso

“…This research presents a comparative analysis of machine learning models for detecting fraudulent banking transactions, a growing problem in the digital financial sector. …”
Get full text

Comparison of machine learning and validation methods for high-dimensional accelerometer data to detect foot lesions in dairy cattle. by Muhammad Usman Riaz, Luke O'Grady, Conor G McAloon, Finnian Logan, Isobel Claire Gormley

“…To handle this, researchers often summarize accelerometer data into indices like step counts, which simplifies analysis but may sacrifice important details needed for accurate prediction of lameness. …”
Get full text

Machine Learning Methods for Predicting Cardiovascular Diseases: A Comparative Analysis by Aiym B. Temirbayeva, Arshyn Altybay

Get full text

SENTIMENT ANALYSIS OF JAKLINGKO APP REVIEWS USING MACHINE LEARNING AND LSTM by Maghfiroh Maulani, Windu Gata

“…Utilizing a dataset of 200 user reviews, this research applies data preprocessing techniques to clean and organize the information before performing sentiment classification. …”
Get full text

Cryptocurrency Forecasting Using Deep Learning Models: A Comparative Analysis by Rachid Bourday, Issam Aatouchi, Mounir Ait Kerroum, Ali Zaaouat

“…This article aims to provide a comprehensive and comparative analysis of Deep Learning Forecasting Models in order to predict Bitcoin prices in the short and medium terms: Transformer with XGBoost, Transformer with ANN, Transformer with LSTM, and Transformer with SVR. …”
Get full text

Efficient Fault Diagnosis of Elevator Cabin Door Drives Using Machine Learning with Data Reduction for Reliable Transmission by Jakub Gęca, Dariusz Czerwiński, Bartosz Drzymała, Krzysztof Kolano

“…Existing solutions in the literature include methods such as spectral analysis of system vibrations, motor current signature analysis, fishbone diagrams, fault trees, multi-agent systems, image recognition, and machine learning techniques. …”
Get full text

Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery by Tarek Berghout, Eric Bechhoefer, Faycal Djeffal, Wei Hong Lim

“…Health monitoring data analysis, a widely used approach, faces challenges due to data randomness and interpretation difficulties, highlighting the importance of robust data quality analysis for reliable monitoring. …”
Get full text