Software project management using machine learning technique—A Review
Project management planning and assessment are of great significance in project
performance activities. Without a realistic and logical plan, it isn't easy to handle project …
performance activities. Without a realistic and logical plan, it isn't easy to handle project …
A review on type-2 fuzzy neural networks for system identification
In many engineering problems, the systems dynamics are uncertain, and then, the accurate
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …
dynamic modeling is required. Type-2 fuzzy neural networks (T2F-NNs) are extensively …
A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce
RV Karthik, S Ganapathy - Applied Soft Computing, 2021 - Elsevier
In Electronic commerce, customer reviews play a significant role in purchase making
decision. Most of the existing recommendation systems consider the customer reviews, user …
decision. Most of the existing recommendation systems consider the customer reviews, user …
An augmented artificial intelligence approach for chronic diseases prediction
J Rashid, S Batool, J Kim, M Wasif Nisar… - Frontiers in Public …, 2022 - frontiersin.org
Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …
therefore become an important research area to enhance patient survival rates. Several …
A deep learning approach for effective intrusion detection in wireless networks using CNN
B Riyaz, S Ganapathy - Soft Computing, 2020 - Springer
Security is playing a major role in this Internet world due to the rapid growth of Internet users.
The various intrusion detection systems were developed by many researchers in the past to …
The various intrusion detection systems were developed by many researchers in the past to …
Groundwater potential zones for sustainable management plans in a river basin of India and Bangladesh
Groundwater crisis across the world is a thought-provoking issue and for resolving the
problem, it is highly necessary to identify the potential groundwater zones and estimate …
problem, it is highly necessary to identify the potential groundwater zones and estimate …
Breast cancer classification by using multi-headed convolutional neural network modeling
Breast cancer is one of the most widely recognized diseases after skin cancer. Though it can
occur in all kinds of people, it is undeniably more common in women. Several analytical …
occur in all kinds of people, it is undeniably more common in women. Several analytical …
Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm
Artificial intelligence (AI) models have been effectively applied to predict/forecast certain
variable in several engineering applications, in particular, where this variable is highly …
variable in several engineering applications, in particular, where this variable is highly …
A novel approach for breast cancer prediction using optimized ANN classifier based on big data environment
Cancer is caused by the un-controlled division of abnormal cells in a body part. Various
cancers exist in this world and one amongst them is breast cancer. Breast cancer (BC) …
cancers exist in this world and one amongst them is breast cancer. Breast cancer (BC) …
An effective disease prediction system using incremental feature selection and temporal convolutional neural network
S Sandhiya, U Palani - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
Rapid growth of communication technologies and expert systems produces enormous
volume of medical data. Deep learning technique is an advancement of machine learning …
volume of medical data. Deep learning technique is an advancement of machine learning …