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The Role of Machine Learning and Artificial Intelligence in Clinical Decisions and the Herbal Formulations Against COVID-19
COVID-19 causes global health problems, and new technologies have to be established to detect, anticipate, diagnose, screen, and even trace COVID-19 by all health care experts. Several database searches are carried out in this...
Published by: IGI Global Scientific Publishing
Evaluating the effectiveness of anti-Nogo treatment in spinal cord injuries.
As humans, we cannot regenerate axons within the central nervous system (CNS), therefore, making any damage to it permanent. This leads to the loss of sensory and motor function below the site of injury and can be crippling to a...
Evaluating the effectiveness of anti-Nogo treatment in spinal cord injuries.
As humans, we cannot regenerate axons within the central nervous system (CNS), therefore, making any damage to it permanent. This leads to the loss of sensory and motor function below the site of injury and can be crippling to a...
Published by: Neural development
Evaluating the effectiveness of anti-Nogo treatment in spinal cord injuries
Abstract: As humans, we cannot regenerate axons within the central nervous system (CNS), therefore, making any damage to it permanent. This leads to the loss of sensory and motor function below the site of injury and can be...
Efficient Traffic Sign Recognition Using CLAHE-Based Image Enhancement and ResNet CNN Architectures
Recognition and classification of traffic signs and other numerous displays on the road are very crucial for autonomous driving, navigation, and safety systems on roads. Machine learning or deep learning methods are generally...
Published by: IGI Global Scientific Publishing
Role of AYUSH Therapies in Modern Medicine
Ashutosh Ojha, Utkarsh Ojha, Harsh Ojha, Abhinaya Chandrashekar, Raihan Mohammed, Rudra Trivedi, Sharvari Ugaonkar, Manan Desai, Ramesh Sreevidya, Pratiksha Sahu
Mar 10, 2020
OBJECTIVE: To understand doctors' attitude to and awareness of AYUSH therapies for the treatment of diabetes mellitus (DM). METHODS: This qualitative study, using a usage-and-attitude survey, was conducted in secondary centers...
Machine Learning-Based Academic Result Prediction System
Students' academic performance is a critical issue as it decides his/her career. It is pivotal for the educational institutes to track the performance record because it can help to enhance the standard of their quality...
Published by: IGI Global Scientific Publishing
Direct and Indirect Effects of ICT Infrastructure, Skills, and Use on Entrepreneurship
The information and communication technology (ICT) enabling infrastructure, requisite skills, and subsequent usage in the country could facilitate ease of doing business (EDB) and support the heterogeneous distribution of...
Published by: IGI Global Scientific Publishing
Donor-Transmitted Cancer in Orthotopic Solid Organ Transplant Recipients
George H B Greenhall, Maria Ibrahim, Utkarsh Dutta, Carolyn Doree, Susan J Brunskill, Rachel J Johnson, Laurie A Tomlinson, Chris J Callaghan, Christopher J E Watson
Mar 28, 2022
Donor-transmitted cancer (DTC) has major implications for the affected patient as well as other recipients of organs from the same donor. Unlike heterotopic transplant recipients, there may be limited treatment options for...
SciPy 1.0
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, Aditya Vijaykumar, Alessandro Pietro Bardelli, Alex Rothberg, Andreas Hilboll, Andreas Kloeckner, Anthony Scopatz, Antony Lee, Ariel Rokem, C. Nathan Woods, Chad Fulton, Charles Masson, Christian Häggström, Clark Fitzgerald, David A. Nicholson, David R. Hagen, Dmitrii V. Pasechnik, Emanuele Olivetti, Eric Martin, Eric Wieser, Fabrice Silva, Felix Lenders, Florian Wilhelm, G. Young, Gavin A. Price, Gert-Ludwig Ingold, Gregory E. Allen, Gregory R. Lee, Hervé Audren, Irvin Probst, Jörg P. Dietrich, Jacob Silterra, James T Webber, Janko Slavič, Joel Nothman, Johannes Buchner, Johannes Kulick, Johannes L. Schönberger, José Vinícius de Miranda Cardoso, Joscha Reimer, Joseph Harrington, Juan Luis Cano Rodríguez, Juan Nunez-Iglesias, Justin Kuczynski, Kevin Tritz, Martin Thoma, Matthew Newville, Matthias Kümmerer, Maximilian Bolingbroke, Michael Tartre, Mikhail Pak, Nathaniel J. Smith, Nikolai Nowaczyk, Nikolay Shebanov, Oleksandr Pavlyk, Per A. Brodtkorb, Perry Lee, Robert T. McGibbon, Roman Feldbauer, Sam Lewis, Sam Tygier, Scott Sievert, Sebastiano Vigna, Stefan Peterson, Surhud More, Tadeusz Pudlik, Takuya Oshima, Thomas J. Pingel, Thomas P. Robitaille, Thomas Spura, Thouis R. Jones, Tim Cera, Tim Leslie, Tiziano Zito, Tom Krauss, Utkarsh Upadhyay, Yaroslav O. Halchenko, Yoshiki Vázquez-Baeza
Feb 02, 2021
Abstract: SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with...