PLncWX: A Machine-Learning Algorithm for Plant lncRNA Identification Based on WOA-XGBoost by Fei Guo, Zhixiang Yin, Kai Zhou, Jiasi Li

“…There have been a large number of identification tools based on machine-learning and deep learning algorithms, mostly using human and mouse gene sequences as training sets, seldom plants, and only using one or one class of feature selection methods after feature extraction. …”
Get full text

Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix by P. Dhanalakshmi, V. Venkatesh, P. S. Ranjit, N. Hemalatha, S. Divyapriya, R. Sandhiya, Sumit Kushwaha, Asmita Marathe, Mekete Asmare Huluka

“…The proposed DNN utilises a number of different methodologies, two of which are cloud motion analysis and machine learning, in order to make forecasts regarding the climatological conditions of the future. …”
Get full text

Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach by Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Luz Castro, Antonino Santos

Get full text

Retracted: Machine Learning Model-Based Applications for Food Management in Alzheimer’s Using Regression Analysis Approach by Journal of Food Quality

Get full text

Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

Get full text

A Fully Automated Adjustment of Ensemble Methods in Machine Learning for Modeling Complex Real Estate Systems by José-Luis Alfaro-Navarro, Emilio L. Cano, Esteban Alfaro-Cortés, Noelia García, Matías Gámez, Beatriz Larraz

“…The greater availability of information related to housing stock has prompted to the use of so-called big data and machine learning in the estimation of property prices. …”
Get full text

Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients by Yu Zhu, Renrui Liang, Ying Wang, Jian-Jun Yang, Ning Zhou, Cheng-Mao Zhou

Get full text

Comparison of Machine Learning Classification Methods for Determining the Geographical Origin of Raw Milk Using Vibrational Spectroscopy by Aimen El Orche, Amine Mamad, Omar Elhamdaoui, Amine Cheikh, Miloud El Karbane, Mustapha Bouatia

“…These findings demonstrate that FT-MIR spectroscopy, combined with machine learning methods, is an efficient and suitable approach to classify the geographical origins of raw milk.…”
Get full text

Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

“…Machine Learning: Science and Technology…”
Get full text

Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

Subjects: Get full text

Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning by Frank Rhein, Timo Sehn, Michael A. R. Meier

Subjects: “…Machine learning…”
Get full text

Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs by Xieling Chen, Haoran Xie, Di Zou, Gary Cheng, Xiaohui Tao, Fu Lee Wang

Subjects: Get full text

Prediction of thermal conductivity in CALF-20 with first-principles accuracy via machine learning interatomic potentials by Soham Mandal, Prabal K. Maiti

“…Here, we report the thermal transport study of CALF-20 using artificial neural network-based machine learning potentials. We use the Green-Kubo approach based on equilibrium molecular dynamics, with a heat-flux renormalization technique, to determine the thermal conductivity (κ) of CALF-20. …”
Get full text

Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

Subjects: “…Machine learning…”
Get full text

Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry by Yiwei Chen, Yiwei Chen, Jiali Lin, Detong Shi, Yu Miao, Yu Miao, Feng Xue, Feng Xue, Kexin Liu, Kexin Liu, Xiaotao Wang, Changqing Zhang, Changqing Zhang

Subjects: Get full text

What Is My Plaza for? Implementing a Machine Learning Strategy for Public Events Prediction in the Urban Square by Jumana Hamdani, Pablo Antuña Molina, Lucía Leva Fuentes, Hesham Shawqy, Gabriella Rossi, David Andrés León

Subjects: Get full text

['IDENTIFYING MOLECULAR FUNCTIONS OF DYNEIN MOTOR PROTEINS USING EXTREME GRADIENT BOOSTING ALGORITHM WITH MACHINE LEARNING'] by Ali Ghulam, Rahu Sikander, Dhani Bux Talpur, Erum Saba, Mir Sajjad Hussain Talpur, Zulfikar Ahmed Maher, Saima Tunio

Get full text

Machine Learning Model Reveals Land Use and Climate’s Role in Caatinga Wildfires: Present and Future Scenarios by Rodrigo N. Vasconcelos, Mariana M. M. de Santana, Diego P. Costa, Soltan G. Duverger, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro, Washington J. S. Franca Rocha

“…This study integrates machine learning with climate and land use data to model current and future fire dynamics in the Caatinga. …”
Get full text

Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

Subjects: Get full text

Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection by Divya Khanna, Arun Kumar, Shahid Ahmad Bhat

Subjects: Get full text