Convolutional neural networks in medical image understanding: a survey

DR Sarvamangala, RV Kulkarni - Evolutionary intelligence, 2022 - Springer
Imaging techniques are used to capture anomalies of the human body. The captured images
must be understood for diagnosis, prognosis and treatment planning of the anomalies …

Deep learning for time series forecasting: a survey

JF Torres, D Hadjout, A Sebaa, F Martínez-Álvarez… - Big Data, 2021 - liebertpub.com
Time series forecasting has become a very intensive field of research, which is even
increasing in recent years. Deep neural networks have proved to be powerful and are …

[HTML][HTML] PyMC: a modern, and comprehensive probabilistic programming framework in Python

O Abril-Pla, V Andreani, C Carroll, L Dong… - PeerJ Computer …, 2023 - peerj.com
PyMC is a probabilistic programming library for Python that provides tools for constructing
and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural …

A survey of deep convolutional neural networks applied for prediction of plant leaf diseases

VS Dhaka, SV Meena, G Rani, D Sinwar, MF Ijaz… - Sensors, 2021 - mdpi.com
In the modern era, deep learning techniques have emerged as powerful tools in image
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

M Gheisari, F Ebrahimzadeh, M Rahimi… - CAAI Transactions …, 2023 - Wiley Online Library
Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …

An introductory review of deep learning for prediction models with big data

F Emmert-Streib, Z Yang, H Feng, S Tripathi… - Frontiers in Artificial …, 2020 - frontiersin.org
Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and
machine learning. Recent breakthrough results in image analysis and speech recognition …

Fastai: a layered API for deep learning

J Howard, S Gugger - Information, 2020 - mdpi.com
fastai is a deep learning library which provides practitioners with high-level components that
can quickly and easily provide state-of-the-art results in standard deep learning domains …

[HTML][HTML] Potential, challenges and future directions for deep learning in prognostics and health management applications

O Fink, Q Wang, M Svensen, P Dersin, WJ Lee… - … Applications of Artificial …, 2020 - Elsevier
Deep learning applications have been thriving over the last decade in many different
domains, including computer vision and natural language understanding. The drivers for the …

A comprehensive survey on model compression and acceleration

T Choudhary, V Mishra, A Goswami… - Artificial Intelligence …, 2020 - Springer
In recent years, machine learning (ML) and deep learning (DL) have shown remarkable
improvement in computer vision, natural language processing, stock prediction, forecasting …

A survey of machine and deep learning methods for internet of things (IoT) security

MA Al-Garadi, A Mohamed, AK Al-Ali… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest develo** fields in …