Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging by Humberto Farias, Guillermo Damke, Mauricio Solar, Marcelo Jaque Arancibia

Subjects: Get full text

A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning by Seisuke Kano

“…By integrating advanced monitoring technologies and machine learning, these methods enable real-time predictions within controllable parameters using live data. …”
Get full text

Publisher Correction: Evaluating climate-related financial policies’ impact on decarbonization with machine learning methods by Paola D’Orazio, Anh-Duy Pham

Get full text

Audio-visual aesthetic teaching methods in college students’ vocal music teaching by deep learning by Jiayao Zheng, Yiyao Zhang, Shanshan Zhang

“…The results demonstrate that the new teaching model has led to notable enhancements in students’ audio-visual aesthetic abilities, self-confidence in learning, and learning efficiency. Additionally, compared to traditional educational methods, the curriculum primarily, which focused on STEAM education with the project as its core, emphasizes the logic of the learning process and its connection with other disciplines. …”
Get full text

Estimating Energy Consumption During Soil Cultivation Using Geophysical Scanning and Machine Learning Methods by Jasper Tembeck Mbah, Katarzyna Pentoś, Krzysztof S. Pieczarka, Tomasz Wojciechowski

“…The aim of this study was to estimate energy consumption during soil cultivation using geophysical scanning data and machine learning (ML) algorithms. This included determining the optimal set of independent variables and the most suitable ML method. …”
Get full text

Prediction of Auditory Performance in Cochlear Implants Using Machine Learning Methods: A Systematic Review by Beyza Demirtaş Yılmaz

“…<b>Methods:</b> A comprehensive literature review was conducted in accordance with the PRISMA guidelines. …”
Get full text

The Impact of Online Learning on Digital Literacy Skills in Higher Education: Survey Methods and Test Analysis by Otang Kurniaman, Hadriana, Nur Islami, Zetra Hainul Putra, Zufriady

“…Digital literacy is someone’s ability to comprehend information as a learning source. The research uses a survey method in the form of a questionnaire and tests through SPSS. …”
Get full text

Machine Learning Methods in Student Mental Health Research: An Ethics-Centered Systematic Literature Review by Mohamed Drira, Sana Ben Hassine, Michael Zhang, Steven Smith

Get full text

Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods by Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl P. Davidson, Xuesong Xu, Varun Chaudhary, R.V. Ramanujan

“…Experimental validation was conducted on two promising compositions synthesized using three different methods: arc melting, ball milling followed by spark plasma sintering (SPS), and chemical synthesis followed by SPS. …”
Get full text

The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia by Ilija Doknić, Mirjana Mitrović, Zoran Bukumirić, Marijana Virijević, Nikola Pantić, Nikica Sabljić, Darko Antić, Živko Bojović

Subjects: “…classical statistical methods…”
Get full text

Comparative Analysis of Machine learning Methods to Identify signs of suspicious Transactions of Credit Institutions and Their Clients by Yu. M. Beketnova

Subjects: Get full text

Detecting intrusions in cloud-based ensembles: evaluating voting and stacking methods with machine learning classifiers by Khawla Ali Maodah, Sharaf Alhomdy, Fursan Thabit

“…However, the dispersed and open nature of cloud systems exposes them to a wide spectrum of cyberattacks. Machine learning provides dynamic options for detecting known and unknown assaults, whereas typical intrusion detection systems that depend on signature or rule-based techniques find it difficult to adjust to complex cyber threats.MethodsThis study compares the efficacy of an ensemble approach (Voting Hard and Stacking) for intrusion detection in cloud environments with individual machine learning classifiers, such as Random Forest, Decision Tree, Gradient Boosting, XGBoost, Naive Bayes, Support Vector Machine, and Logistic Regression. …”
Get full text

Review of Recent Advances in Remote Sensing and Machine Learning Methods for Lake Water Quality Management by Ying Deng, Yue Zhang, Daiwei Pan, Simon X. Yang, Bahram Gharabaghi

“…In addition to remote sensing platforms, this paper explores the application of a wide range of machine learning models, from traditional linear and tree-based methods to more advanced deep learning techniques like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). …”
Get full text

Fruit Detection Methods Based on Deep Learning in Agricultural Planting: A Systematic Literature Review by Xinyu Gong, Qiufeng Wu

Get full text

Critical thinking and clinical skills by problem-based learning educational methods: an umbrella systematic review by Wei-Li Ge, Xia-Yin Zhu, Jiang-Bo Lin, Jian-Jun Jiang, Tao Li, Yi-Fei Lu, Ya-Fei Mi, Tao-Hsin Tung

“…Introduction Problem-based learning (PBL), based on self-directed learning, is an instructional strategy that shifts the approach from the instructor to the student (student-centered). …”
Get full text

Electrical and seismic refraction methods: Fundamental concepts, current trends, and emerging machine learning prospects by Adedibu Sunny Akingboye

Subjects: Get full text

Deep Learning and Methods Based on Large Language Models Applied to Stellar Light Curve Classification by Yu-Yang Li, Yu Bai, Cunshi Wang, Mengwei Qu, Ziteng Lu, Roberto Soria, Jifeng Liu

“…Each model is fine-tuned with strategic prompt engineering and customized training methods to explore the emergent abilities of these models for astronomical data. …”
Get full text

Applying Multi-Task Deep Learning Methods in Electricity Load Forecasting Using Meteorological Factors by Kai-Bin Huang, Tian-Shyug Lee, Jonathan Lee, Jy-Ping Wu, Leemen Lee, Hsiu-Mei Lee

Get full text

Deep Learning Methods for Automatic Identification of Male and Female Chickens in a Cage-Free Flock by Bidur Paneru, Ramesh Bahadur Bist, Xiao Yang, Anjan Dhungana, Samin Dahal, Lilong Chai

“…Six roosters were mixed with 200 Lohmann LSL Lite hens during the pre-peak phase in a CF research facility and were marked with different identifications. Deep learning methods, such as You Only Look Once (YOLO) models, were innovated and trained (based on a comb size of up to 2500 images) for the identification of male and female chickens based on comb size and body features. …”
Get full text

Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

“…In this study, while comparing classical machine learning methods and deep learning architectures, real-time and non-real-time applications were also compared with two different applications. …”
Get full text