A review of machine learning and deep learning applications
Machine learning is one of the fields in the modern computing world. A plenty of research
has been undertaken to make machines intelligent. Learning is a natural human behavior …
has been undertaken to make machines intelligent. Learning is a natural human behavior …
Performance comparison and current challenges of using machine learning techniques in cybersecurity
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …
world is becoming more and more dependent on the internet for everyday living. The …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Review on optimization techniques and role of Artificial Intelligence in home energy management systems
Present advancements in the power systems paved way for introducing the smart grid (SG).
A smart grid is beneficial to consumers which enables the bi-directional flow of information …
A smart grid is beneficial to consumers which enables the bi-directional flow of information …
Multi-vehicle routing problems with soft time windows: A multi-agent reinforcement learning approach
Multi-vehicle routing problem with soft time windows (MVRPSTW) is an indispensable
constituent in urban logistics distribution systems. Over the past decade, numerous methods …
constituent in urban logistics distribution systems. Over the past decade, numerous methods …
Machine learning: a review of the algorithms and its applications
D Dhall, R Kaur, M Juneja - … of ICRIC 2019: Recent innovations in …, 2020 - Springer
In today's world, machine learning has gained much popularity, and its algorithms are
employed in every field such as pattern recognition, object detection, text interpretation and …
employed in every field such as pattern recognition, object detection, text interpretation and …
Predicting stock market using machine learning: best and accurate way to know future stock prices
D Sheth, M Shah - International Journal of System Assurance Engineering …, 2023 - Springer
Dissatisfaction is the first step of progress, this statement serves to be the base of using
Artifcial Intelligence in predicting stock prices. A great deal of people dreamed of predicting …
Artifcial Intelligence in predicting stock prices. A great deal of people dreamed of predicting …
Solar radiation prediction using different machine learning algorithms and implications for extreme climate events
L Huang, J Kang, M Wan, L Fang, C Zhang… - Frontiers in Earth …, 2021 - frontiersin.org
Solar radiation is the Earth's primary source of energy and has an important role in the
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
Analyzing RNA-seq gene expression data using deep learning approaches for cancer classification
Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights
into differentially expressed genes. However, it is challenging because of its high …
into differentially expressed genes. However, it is challenging because of its high …
A new strategy for the early detection of alzheimer disease stages using multifractal geometry analysis based on K-Nearest Neighbor algorithm
YM Elgammal, MA Zahran, MM Abdelsalam - Scientific reports, 2022 - nature.com
Alzheimer's Disease (AD) is considered one of the most diseases that much prevalent
among elderly people all over the world. AD is an incurable neurodegenerative disease …
among elderly people all over the world. AD is an incurable neurodegenerative disease …