Machine learning in drug discovery: a review
This review provides the feasible literature on drug discovery through ML tools and
techniques that are enforced in every phase of drug development to accelerate the research …
techniques that are enforced in every phase of drug development to accelerate the research …
Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …
management, environmental modelling and assessment, and agricultural production …
A dependable hybrid machine learning model for network intrusion detection
Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …
security. There are several detection mechanisms where anomaly-based automated …
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
Abstract (Aim) COVID-19 is an infectious disease spreading to the world this year. In this
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
Machine learning for synergistic network pharmacology: a comprehensive overview
Network pharmacology is an emerging area of systematic drug research that attempts to
understand drug actions and interactions with multiple targets. Network pharmacology has …
understand drug actions and interactions with multiple targets. Network pharmacology has …
Mc-DNN: Fake news detection using multi-channel deep neural networks
JV Tembhurne, MM Almin, T Diwan - International Journal on …, 2022 - igi-global.com
With the advancement of technology, social media has become a major source of digital
news due to its global exposure. This has led to an increase in spreading fake news and …
news due to its global exposure. This has led to an increase in spreading fake news and …
CNN based on transfer learning models using data augmentation and transformation for detection of concrete crack
Cracks in concrete cause initial structural damage to civil infrastructures such as buildings,
bridges, and highways, which in turn causes further damage and is thus regarded as a …
bridges, and highways, which in turn causes further damage and is thus regarded as a …
[HTML][HTML] Artificial intelligence in the diagnosis and detection of heart failure: the past, present, and future
F Yasmin, SMI Shah, A Naeem… - Reviews in …, 2021 - imrpress.com
Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …
How to correctly detect face-masks for covid-19 from visual information?
The new Coronavirus disease (COVID-19) has seriously affected the world. By the end of
November 2020, the global number of new coronavirus cases had already exceeded 60 …
November 2020, the global number of new coronavirus cases had already exceeded 60 …
Machine learning‐reinforced noninvasive biosensors for healthcare
The emergence and development of noninvasive biosensors largely facilitate the collection
of physiological signals and the processing of health‐related data. The utilization of …
of physiological signals and the processing of health‐related data. The utilization of …