Land Use Analysis Using Machine-Learning Based on Cloud Computing Platform by Syukur Toha Prasetyo, Fahmi Arief Rahman, Sinar Suryawati, Slamet Supriyadi, Eko Setiawan

“…The application of machine-learning on a cloud computing platform (Google Earth Engine, GEE) in land use analysis enables efficient and rapid processing of spatial data on a wide scale. …”
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Methodological Integration of Machine Learning and Geospatial Analysis for PM10 Pollution Mapping by Kalid Hassen Yasin, Muaz Ismael Yasin, Anteneh Derribew Iguala, Tadele Bedo Gelete, Erana Kebede

“…The study contributes valuable insights for implementing scalable pollution prediction systems in resource-constrained urban environments while acknowledging interpretability challenges inherent to complex ML models. • Preprocessing of spatial data from various sources, incorporating the handling of missing/abnormal data, analysis, and normalization • Implementation of the three ML algorithms with rigorous hyperparameter tuning, model validation, and performance assessment • Mapping PM10 Hotspots on the Gradient Direction and Distance from the City Center…”
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Deep Learning for Leukemia Classification: Performance Analysis and Challenges Across Multiple Architectures by Hari Mohan Rai, B. Omkar Lakshmi Jagan, N. Thiruapthi Rao, Thayyaba Khatoon Mohammed, Neha Agarwal, Hanaa A. Abdallah, Saurabh Agarwal

“…A web-based interface has also been provided through which a user can upload images and clinical data for analysis. The interface displays model predictions, symptom analysis, and accuracy metrics. …”
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End-to-end data extraction framework from unstructured geotechnical investigation reports via integrated deep learning and text mining techniques by Jimin Park, Wanhyuk Seo, Tae Sup Yun

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Analysis Of Backscatter To Extraction Of Shoreline Using Machine Learning Methods In The Bangkalan Regency by Arifin Fahmi, Wicaksono Ashari

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Conceptual images and learning obstacles in exponentiation and logarithms: A hermeneutic phenomenological analysis by Yuvita Andriani Kusumadewi, Riki Andriatna

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Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis by Nurfaidah Tahir, Chau-Ren Jung, Shin-Da Lee, Nur Azizah, Wen-Chao Ho, Tsai-Chung Li

“… Abstract BackgroundThe rise of federated learning (FL) as a novel privacy-preserving technology offers the potential to create models collaboratively in a decentralized manner to address confidentiality issues, particularly regarding data privacy. …”
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Implications of aesthetic and efferent reading for understanding social cognition in discourse analysis learning by Rusdhianti Wuryaningrum

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Comparative Analysis of Machine Learning Models for CO Emission Prediction in Engine Performance by Beytullah Eren, İdris Cesur

“…This study presents a comparative analysis of machine learning models for predicting carbon monoxide (CO) emissions in automotive engines. …”
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Needs Analysis of Arabic Guided Writing Material Using Task-Based Learning by Muhammad Kamal bin Abdul Hakim

“…Data analysis used descriptive qualitative technique and judgment experts. …”
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A Stock Prediction Method Based on Deep Reinforcement Learning and Sentiment Analysis by Sha Du, Hailong Shen

“…Most previous stock investing methods were unable to predict newly listed stocks because they did not have historical data on newly listed stocks. In this paper, we use the Q-learning algorithm based on a convolutional neural network and add sentiment analysis to establish a prediction method for Chinese stock investment tasks. …”
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Analysis of signals from air conditioner compressors with ordinal patterns and machine learning by Keila Barbosa, Alejandro C Frery, George DC Cavalcanti

“…Additionally, Ordinal Patterns allow for precise and understandable visualization of operational data, making interpreting results more accessible for professionals who may not be experts in data analysis. …”
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Gaze cluster analysis reveals heterogeneity in attention allocation and predicts learning outcomes by Nathalie John, Sebastian P. Korinth, Mareike Kunter, Franziska Baier-Mosch

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Analysis of the Role of Image Media in the Mathematics Learning Process Amid Technological Development by Alya Jum'atul Sholehah Sholehah, Kholifah Nur Cahyanti, Nurul Aulia Dini, Nurul Hidayatussolehah

“…Meanwhile, data analysis uses classical assessment by comparing the number of answers with the number of questions proportionally. …”
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Innovative defect cluster analysis algorithm and tool powered by machine learning techniques by Shuai Ren, Huizhao Li, Dandan Chen, Lingyu Dong, Changjun Hu

“…This paper makes four key contributions: (1) it employs the union-find algorithm to efficiently segment defect clusters in molecular dynamics data; (2) it integrates machine learning with material defect cluster characteristics, proposing a novel algorithm for defect cluster identification and classification, enabling detailed cluster visualization; (3) it introduces a defect data filtering method based on normal distribution, improving defect cluster classification accuracy; and (4) it develops software for analyzing defect clusters in nuclear reactor materials based on the proposed algorithms. …”
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Deep Learning-Enhanced Spectrogram Analysis for Anatomical Region Classification in Biomedical Signals by Abdul Karim, Semin Ryu, In cheol Jeong

“…This study introduces a deep learning-augmented spectrogram analysis framework for classifying biomedical signals into eight anatomically distinct regions, thereby addressing a significant deficiency in automated signal interpretation. …”
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Sentiment analysis for depression detection: A stacking ensemble-based deep learning approach by Kinza Noor, Mariam Rehman, Maria Anjum, Afzaal Hussain, Rabia Saleem

“…The disclosure of transformer-based deep learning models provides an opportunity to use pre-trained models to successfully capture complex patterns and nuances in the textual data. …”
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The Research on Technology in Arabic Language Learning: A Bibliometric Analysis (1993-2024) by Muhammad Hafidz Khusnadin, Dwi Arian Putra Mandaka, ⁠Zulfi Fadhlurrahman, ⁠Zaeni Anwar, Ramadhan Safrudin

“… This study aims to analyze research trends related to the use of technology in Arabic language learning from 1993 to 2024 using bibliometric analysis methods. …”
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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

“…Exploratory spatial analysis, spatial regression and tree-based machine learning models were utilized to analyze the data.…”
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Soft Robot Workspace Estimation via Finite Element Analysis and Machine Learning by Getachew Ambaye, Enkhsaikhan Boldsaikhan, Krishna Krishnan

“…This unique asymmetric design enables the soft robot to bend and curl in various ways. Machine learning is used to establish a forward kinematic relationship between the pressure inputs and the motion responses of the soft robot using data from FEA. …”
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