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

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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

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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

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

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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. …”
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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

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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

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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

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

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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

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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

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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

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

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LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA by Mohammed Sarwat M Salih, Hawal Lateef Fateh, Soran Abdulkarim Pasha, Hassan M Tawfiq

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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

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Effective Computational Approach for Prediction and Estimation of Space Object Breakup Dispersion during Uncontrolled Reentry by Deok-Jin Lee, Eun Jung Choi, Sungki Cho, Jung-Hyun Jo, Tae Soo No

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Enhancing Stock Price Trend Prediction via a Time-Sensitive Data Augmentation Method by Xiao Teng, Tuo Wang, Xiang Zhang, Long Lan, Zhigang Luo

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Imaging findings of intrahepatic cholangiocarcinoma for prognosis prediction and treatment decision-making: a narrative review by Jun Gu Kang, Taek Chung, Dong Kyu Kim, Hyungjin Rhee

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Predicting Psychological Well-being Based on Family Emotional Atmosphere: Mediating Role of Social Support by Zahra Dolati, Beheshteh Niusha, Fatemeh Shaterian Mohammadi

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Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants by Mayyas Al-Remawi, Ahmed S.A. Ali Agha, Faisal Al-Akayleh, Faisal Aburub, Rami A. Abdel-Rahem

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