Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review by Shrikant M. Harle, Rajan L. Wankhade

Subjects: “…Machine learning (ML) techniques…”
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An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case Study by Filip Wójcik

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Integrating Genetic Programming with Dimensional Analysis and Data-Splitting for Heat Transfer Estimation of Nanofluids by Kazuki Fukushima, Koki Yagihara, Alexander Guzman-Urbina, Hajime Ohno, Yasuhiro Fukushima

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Predicting tilling and seeding operation times in grain production: A comparison of machine learning and mechanistic models by Luca Scheurer, Tobias Zimpel, Joerg Leukel

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A Machine-Learning-Based Data Science Framework for Effectively and Efficiently Processing, Managing, and Visualizing Big Sequential Data by Alfredo Cuzzocrea, Islam Belmerabet, Abderraouf Hafsaoui, Carson K. Leung

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Predicting postharvest weight loss and texture changes in table grapes using fruit color and machine learning by Xiaoyan Cheng, Yao Zhou, Zhengyang Huo, Ruiying Li, Shiqian Xu, Hao Qi, Jianyuan Zhu, Fei Wang, Yang Bi

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Intelligent Assessment of Personal Credit Risk Based on Machine Learning by Chuansheng Wang, Hang Yu

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MMEmAsis: multimodal emotion and sentiment analysis by Gleb A. Kiselev, Yaroslava M. Lubysheva, Daniil A. Weizenfeld

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Application of Machine Learning in Fault Detection And Classification in Power Transmission Lines by Michel Evariste Tshodi, Nathanael Kasoro, Freddy Keredjim, ALbert Ntumba Nkongolo, Jean-Jacques Katshitshi Matondo, Paul Mbuyi Balowe, Laurent Kitoko

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Revolutionizing Education: Harnessing Graph Machine Learning for Enhanced Problem-Solving in Environmental Science and Pollution Technology by R. Krishna Kumari

Subjects: “…graph machine learning, environmental science, environmental data analysis, graph theory, pollution technology, sustainable practices…”
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Precision Soil Moisture Monitoring Through Drone-Based Hyperspectral Imaging and PCA-Driven Machine Learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

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Investigating the Capabilities of Ensemble Machine Learning Model in Identifying Near-Fault Pulse-Like Ground Motions by Jafar Al Thawabteh, Jamal Al Adwan, Yazan Alzubi, Ahmad Al-Elwan

Subjects: “…ensemble machine learning…”
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High-Performance Deployment Operational Data Analytics of Pre-Trained Multi-Label Classification Architectures with Differential-Evolution-Based Hyperparameter Optimization (AutoDE... by Teo Prica, Aleš Zamuda

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Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

“…As the data keeps getting bigger, deep learning is coming to play a key role in providing big data predictive analytics solutions. …”
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Sentiment Analysis and Topic Modeling in Transportation: A Literature Review by Ewerton Chaves Moreira Torres, Luís Guilherme de Picado-Santos

“…In response, this review proposes a methodological framework for study selection and bibliometric analysis, classifies the most commonly applied machine learning models for sentiment and topic extraction, and synthesizes findings regarding data sources, model performance, and application contexts in transportation. …”
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Learning Analytics for Bridging the Skills Gap: A Data-Driven Study of Undergraduate Aspirations and Skills Awareness for Career Preparedness by Joel Weijia Lai, Lei Zhang, Chun Chau Sze, Fun Siong Lim

“…Using machine learning methods such as hierarchical clustering and <i>k</i>-nearest neighbors for classification, coupled with non-parametric statistical analysis such as the Mann–Whitney <i>U</i> and Chi-squared (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>χ</mi><mn>2</mn></msup></semantics></math></inline-formula>) tests to understand students’ perceptions of their career preparedness, the findings from this study provide valuable insights into how higher education institutions can prepare students for the workforce and highlight areas where improvements are needed to better support students in achieving their career goals.…”
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Advancing Real-Time Remote Learning: A Novel Paradigm for Cognitive Enhancement Using EEG and Eye-Tracking Analytics by Nuraini Jamil, Abdelkader Nasreddine Belkacem

“…This study explores the convergence of biometric analytics and machine learning in online education, where the level of student participation directly impacts academic achievement. …”
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A dataset revolutionizing Indian bay leaf analysisMendeley Data by Priyanka Paygude, Sandip Thite, Ajay Kumar, Amol Bhosle, Rajendra Pawar, Renuka Mane, Rahul Joshi, Manisha Kasar, Prashant Chavan, Milind Gayakwad

“…The dataset is meticulously curated to support research in condition analysis and machine learning applications for leaf quality assessment. …”
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Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil by Gabriel Donadio Costa, Rogério João Lunkes

“…Thus, three machine learning models were trained using variables from the technical and/or fundamental analysis. …”
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Data-driven integration of synthetic representative volume elements and machine learning for improved microstructure-property linkage and material performance in ceramics by Mohammad Rezasefat, James Hogan

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