Open-Water Thrust and Torque Predictions of a Ducted Propeller System with a Panel Method by J. Baltazar, J. A. C. Falcão de Campos, J. Bosschers

Get full text

Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interaction predictions by Ceder Dens, Wout Bittremieux, Fabio Affaticati, Kris Laukens, Pieter Meysman

Get full text

Composite Fault Prediction of Bearing Based on Cascaded Long Short Term Memory Neural Network by JIANG Xuyao, LIN Qunxu, HOU Zhicheng, ZHANG Gong, ZHANG Jinyue, YANG Gen

Get full text

Climate change-induced shifts in landslide susceptibility in São Sebastião (southeastern Brazil) by Enner Alcântara, Cheila Flávia Baião, Yasmim Carvalho Guimarães, José Antonio Marengo, José Roberto Mantovani

Get full text

Could infarct location predict the long-term functional outcome in childhood arterial ischemic stroke? by Mauricio López-Espejo, Marta Hernández-Chávez

Get full text

Wireless semantic image transmission system based on deep flexible coding strategy and performance prediction by YANG Shuhan, SHEN Bin, HUANG Xiaoge

Get full text

Biomarkers at 6 weeks' gestation in the prediction of early miscarriage in pregnancy following assisted reproductive technology by Jun Guo, Qiaoli Feng, Piya Chaemsaithong, Kubi Appiah, Daljit S. Sahota, Bo Wah Leung, Jacqueline P. Chung, Tin Chiu Li, Liona C. Poon

Get full text

Addressing data scarcity in deep learning: Leveraging real and artificial datasets to predict compaction of composites by Anatoly Koptelov, Hanna Beketova, Jonathan P.-H. Belnoue, Stephen R. Hallett, Iryna Tretiak

Get full text

Classification of imbalanced travel mode choice dataset with SMOTE and prediction using interpretable machine learning by Mujahid Ali

Get full text

Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

“…The best SSPR models demonstrated high accuracy, with an average ROC AUC of 0.831 ± 0.037, a Balanced accuracy of (0.763 ± 0.034), MCC (0.457 ± 0.06), and F-measure (0.623 ± 0.07) across all genes, outperforming the most popular bioinformatics tools.ConclusionsThe best created SSPR models for the prediction of pathogenicity of amino acid substitutions related with PIDs have been implemented in a freely available web application SAV-Pred (Single Amino acid Variants Predictor, http://www.way2drug.com/SAV-Pred/), which may be a useful tool for medical geneticists and clinicians. …”
Get full text

A Comprehensive Review of AI Algorithms for Performance Prediction, Optimization, and Process Control in Desalination Systems by Mahmoud Ibnouf, Hadi Jaber, Hadil Abukhalifeh, Mohammed Ghazal, Mohamad Ramadan, Mohammad Alkhedher

Get full text

Evaluation the efficiency of using Artificial Neural Networks in predicting meteorological droughts in north-west of Iran by Arash malekian, mahro dehbozorgi, Amir hoshang ehsani

Get full text

Iterative Syndrome-Based Deep Neural Network Decoding by Dmitry Artemasov, Kirill Andreev, Pavel Rybin, Alexey Frolov

Get full text

The autonomic response following taVNS predicts changes in level of consciousness in DoC patients by Yan Li, Francesco Riganello, Jing Yu, Martina Vatrano, Mingquan Shen, Lijuan Cheng, Xiaohua Hu, Chengcheng Ni, Feiyang Wang, Bo Zheng, ChengCheng Zhang, Chaoyi Xie, Meiqi Li, Wangshan Huang, Fangfang Shou, Nantu Hu, Steven Laureys, Haibo Di

Get full text

Machine learning-based prediction of CO2 solubility in methyldiethanolamine solutions: A comparative study by Sajjad Fazeli, Mohammad Amin Moradkhani, Behrouz Bayati

Get full text

Structural pre-training improves physical accuracy of antibody structure prediction using deep learning. by Jarosław Kończak, Bartosz Janusz, Jakub Młokosiewicz, Tadeusz Satława, Sonia Wróbel, Paweł Dudzic, Konrad Krawczyk

Get full text

Shades of green and transformational leadership: Predicting employees' green creativity and green work engagement at work by Shavneet Sharma, Norah Albishri, Hina Zafar, Abhishek Bhushan Singhal, Gurmeet Singh

Get full text

Predicting nighttime black ice using atmospheric data for efficient winter road maintenance patrols by Jinhwan Jang

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

Get full text

Analyzing and conceptualizing Pakistan’s pioneering disaster risk communication Mobile application: a case study of PDMA Madadgar by Mushtaq Ahmad Jan, Syed Irfan Ullah, Waheed Ullah, Safi Ullah, Hisham Tariq, Terrence Fernando, Amjad Ali, Zahid Ur Rahman

Get full text