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Machine learning

Deep learning neural network image analysis of immunohistochemical protein expression reveals a significantly reduced expression of biglycan in breast cancer

Ana Paula Thiesen, Bruna Mielczarski, Ricardo Francalacci Savaris

published 27 Mar 2023

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Bat4RCT: A suite of benchmark data and baseline methods for text classification of randomized controlled trials

Jenna Kim, Jinmo Kim, Aejin Lee, Jinseok Kim

published 24 Mar 2023

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Epidemic efficacy of Covid-19 vaccination against Omicron: An innovative approach using enhanced residual recurrent neural network

Rakesh Kumar, Meenu Gupta, Aman Agarwal, Anustup Mukherjee, Sardar M. N. Islam

published 24 Mar 2023

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Neo-epidemiological machine learning based method for COVID-19 related estimations

Mouhamad Bodaghie, Farnaz Mahan, Leyla Sahebi, Hossein Dalili

published 24 Mar 2023

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Domain-guided data augmentation for deep learning on medical imaging

Chinmayee Athalye, Rima Arnaout

published 23 Mar 2023

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Classification of truck-involved crash severity: Dealing with missing, imbalanced, and high dimensional safety data

Seyed Iman Mohammadpour, Majid Khedmati, Mohammad Javad Hassan Zada

published 22 Mar 2023

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Dynamic sub-route-based self-adaptive beam search Q-learning algorithm for traveling salesman problem

Jin Zhang, Qing Liu, XiaoHang Han

published 21 Mar 2023

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A hybrid security system for drones based on ICMetric technology

Khattab M. Ali Alheeti, Fawaz Khaled Alarfaj, Mohammed Alreshoodi, Naif Almusallam, Duaa Al Dosary

published 21 Mar 2023

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Impact of enterprise digital transformation on capacity utilization: Evidence from China

Ning Zhao, Jianxin Ren

published 17 Mar 2023

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Statistical injury prediction for professional sumo wrestlers: Modeling and perspectives

Shuhei Ota, Mitsuhiro Kimura

published 17 Mar 2023

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Influence of artificial intelligence in education on adolescents’ social adaptability: The mediatory role of social support

Tinghong Lai, Chuyin Xie, Minhua Ruan, Zheng Wang, Hong Lu, Shimin Fu

published 17 Mar 2023

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Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset

Anmol Arora, Ananya Arora

published 16 Mar 2023

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Design considerations for a hierarchical semantic compositional framework for medical natural language understanding

Ricky K. Taira, Anders O. Garlid, William Speier

published 16 Mar 2023

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