Machine learning and deep learning: A review of methods and applications
K Sharifani, M Amini - World Information Technology and …, 2023 - papers.ssrn.com
Abstract Machine learning and deep learning have rapidly emerged as powerful tools in
many fields, including image and speech recognition, natural language processing, and …
many fields, including image and speech recognition, natural language processing, and …
Artificial neural networks based optimization techniques: A review
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …
using optimization techniques. In this paper, we present an extensive review of artificial …
Covid-19 outbreak prediction with machine learning
Several outbreak prediction models for COVID-19 are being used by officials around the
world to make informed decisions and enforce relevant control measures. Among the …
world to make informed decisions and enforce relevant control measures. Among the …
Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions
The way people travel, organise their time, and acquire information has changed due to
information technologies. Artificial intelligence (AI) and machine learning (ML) are …
information technologies. Artificial intelligence (AI) and machine learning (ML) are …
A comprehensive survey: Evaluating the efficiency of artificial intelligence and machine learning techniques on cyber security solutions
Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
Deep reinforcement learning in production systems: a systematic literature review
Shortening product development cycles and fully customisable products pose major
challenges for production systems. These not only have to cope with an increased product …
challenges for production systems. These not only have to cope with an increased product …
[HTML][HTML] How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda
V Singh, SS Chen, M Singhania, B Nanavati… - International Journal of …, 2022 - Elsevier
Data availability and accessibility have brought in unseen changes in the finance systems
and new theoretical and computational challenges. For example, in contrast to classical …
and new theoretical and computational challenges. For example, in contrast to classical …
Recent advances in reinforcement learning in finance
The rapid changes in the finance industry due to the increasing amount of data have
revolutionized the techniques on data processing and data analysis and brought new …
revolutionized the techniques on data processing and data analysis and brought new …
Deep reinforcement learning for the control of robotic manipulation: a focussed mini-review
Deep learning has provided new ways of manipulating, processing and analyzing data. It
sometimes may achieve results comparable to, or surpassing human expert performance …
sometimes may achieve results comparable to, or surpassing human expert performance …
Machine learning (ML) in medicine: Review, applications, and challenges
AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …
various industries, especially medicine. AI describes computational programs that mimic and …