An Operational Carbon Emission Prediction Model Based on Machine Learning Methods for Urban Residential Buildings in Guangzhou by Lintao Zheng, Kang Luo, Lihua Zhao

Subjects: Get full text

Hybrid FRP strengthening of reinforced concrete deep beams: Experimental, theoretical and machine learning-based study by Phromphat Thansirichaisree, Qudeer Hussain, Mingliang Zhou, Ali Ejaz, Shabbir Ali Talpur, Panumas Saingam

Subjects: “…Analytical model, machine learning predictions…”
Get full text

Advanced Ensemble Machine-Learning Models for Predicting Splitting Tensile Strength in Silica Fume-Modified Concrete by Nadia Moneem Al-Abdaly, Mohammed E. Seno, Mustafa A. Thwaini, Hamza Imran, Krzysztof Adam Ostrowski, Kazimierz Furtak

Subjects: Get full text

Multitemporal Analysis of Urbanization-Driven Slope and Ecological Impact Using Machine-Learning and Remote Sensing Techniques by Zhang Hao, Muhammad Haseeb, Zheng Xiangtian, Zainab Tahir, Syed Amer Mahmood, Aqil Tariq, Rana Waqar Aslam, M. Abdullah-Al-Wadud, Hesham Mohamed El-Askary

Get full text

Evaluation of prediction errors in nine intraocular lens calculation formulas using an explainable machine learning model by Richul Oh, Joo Youn Oh, Hyuk Jin Choi, Mee Kum Kim, Chang Ho Yoon

“…We used a LightGBM-based machine learning model to evaluate the explanatory power of ocular biometric variables for PEs and assessed the relationship between PEs and ocular biometric variables using Shapley additive explanation (SHAP) values. …”
Get full text

Developing a decision support tool to predict delayed discharge from hospitals using machine learning by Mahsa Pahlevani, Enayat Rajabi, Majid Taghavi, Peter VanBerkel

Subjects: Get full text

Cell-free plasma telomere length correlated with the risk of cardiovascular events using machine learning classifiers by Mengjun Dai, Kangbo Li, Mesud Sacirovic, Claudia Zemmrich, Oliver Ritter, Peter Bramlage, Anja Bondke Persson, Eva Buschmann, Ivo Buschmann, Philipp Hillmeister

Subjects: Get full text

Political Security Threat Prediction Framework Using Hybrid Lexicon-Based Approach and Machine Learning Technique by Noor Afiza Mat Razali, Nur Atiqah Malizan, Nor Asiakin Hasbullah, Muslihah Wook, Norulzahrah Mohd Zainuddin, Khairul Khalil Ishak, Suzaimah Ramli, Sazali Sukardi

Subjects: Get full text

Identifying Telescope Usage in Astrophysics Publications: A Machine Learning Framework for Institutional Research Management at Observatories by Vicente Amado Olivo, Wolfgang Kerzendorf, Brian Cherinka, Joshua V. Shields, Annie Didier, Katharina von der Wense

“…In this work, we introduce a machine learning classification framework for the automatic identification of facility usage of observation sections in astrophysics publications. …”
Get full text

Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal by Erica Shrestha, Suyog Poudyal, Anup Ghimire, Shrena Maharjan, Manoj Lamichhane, Sushant Mehan

“…The suitability of both empirical and machine learning (ML) models with limited climatic variables for estimating ET0 in Nepal remains unexplored. …”
Get full text

Basin dependencies of tropical cyclone genesis environment and possible future changes revealed by machine learning methods by QiFeng Qian, YeFeng Chen, XiaoJing Jia, Hao Ma, Wei Dong

“…Ocean basins are categorized into three groups based on PCA, and three MaxEnt machine learning (ML) models are developed to predict TC genesis under future scenarios. …”
Get full text

SIGNIFY: Leveraging Machine Learning and Gesture Recognition for Sign Language Teaching Through a Serious Game by Luca Ulrich, Giulio Carmassi, Paolo Garelli, Gianluca Lo Presti, Gioele Ramondetti, Giorgia Marullo, Chiara Innocente, Enrico Vezzetti

Subjects: Get full text

Identification of hub genes, diagnostic model, and immune infiltration in preeclampsia by integrated bioinformatics analysis and machine learning by Yihan Zheng, Zhuanji Fang, Xizhu Wu, Huale Zhang, Pengming Sun

Subjects: Get full text

Application of machine learning‐based phenotyping in individualized fluid management in critically ill patients with heart failure by Chengjian Guan, Bing Xiao

Get full text

Machine learning automated treatment planning for online magnetic resonance guided adaptive radiotherapy of prostate cancer by Aly Khalifa, Jeff D. Winter, Tony Tadic, Thomas G. Purdie, Chris McIntosh

Subjects: Get full text

Impact of Feature Selection Techniques on the Performance of Machine Learning Models for Depression Detection Using EEG Data by Marwa Hassan, Naima Kaabouch

Subjects: Get full text

Explicit relation between thin film chromatography and column chromatography conditions from statistics and machine learning by Hao Xu, Wenchao Wu, Yuntian Chen, Dongxiao Zhang, Fanyang Mo

“…This study explicitly elucidates how chemists use thin-layer chromatography (TLC) to determine column chromatography (CC) conditions, employing statistical analysis and machine learning techniques. An experimental dataset of the CC is generated from the automatic platform developed in this study. …”
Get full text

An Empirical Analysis of Above-Ground Biomass and Carbon Sequestration Using UAV Photogrammetry and Machine Learning Techniques by Thinnakon Angkahad, Teerawong Laosuwan, Satith Sangpradid, Narueset Prasertsri, Yannawut Uttaruk, Titipong Phoophathong, Joe Nuchthapho

Subjects: Get full text

Drug molecular representations for drug response predictions: a comprehensive investigation via machine learning methods by Meisheng Xiao, Qianhui Zheng, Paul Popa, Xinlei Mi, Jianhua Hu, Fei Zou, Baiming Zou

“…This study conducts a comprehensive evaluation of the efficacy of various drug molecular representations employing cutting-edge machine learning models under various experimental settings. …”
Get full text

Modeling the Dynamic Variability of Sub‐Relativistic Outer Radiation Belt Electron Fluxes Using Machine Learning by Donglai Ma, Xiangning Chu, Jacob Bortnik, Seth G. Claudepierre, W. Kent Tobiska, Alfredo Cruz, S. Dave Bouwer, Joseph F. Fennell, J. Bernard Blake

Subjects: “…machine learning…”
Get full text