Performance evaluation of a proposed machine learning model for chronic disease datasets using an integrated attribute evaluator and an improved decision tree …
There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity
and the quality of daily life. The treatment of these disorders is a challenging task for medical …
and the quality of daily life. The treatment of these disorders is a challenging task for medical …
A pragmatic investigation of energy consumption and utilization models in the urban sector using predictive intelligence approaches
Energy consumption is a crucial domain in energy system management. Recently, it was
observed that there has been a rapid rise in the consumption of energy throughout the …
observed that there has been a rapid rise in the consumption of energy throughout the …
Amalgamation of customer relationship management and data analytics in different business sectors—A systematic literature review
Customization of products or services is a strategy that the business sector has embraced to
build a better relationship with the customers to cater to their individual needs and thus …
build a better relationship with the customers to cater to their individual needs and thus …
Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations
Effective candidates screening is critical for any IT firm as it impacts the future growth and
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
Impacts of metaheuristic and swarm intelligence approach in optimization
Optimization is a searching technique by which we can find the best solution from all the
feasible solutions. There are two types of optimization problems depending up on the type of …
feasible solutions. There are two types of optimization problems depending up on the type of …
Integration of machine learning and IoT in healthcare domain
A Chattopadhyay, S Mishra… - … artificial intelligence and …, 2021 - Springer
Recent advancement in technology has been fruitful in the unification of Internet of things
and machine learning in numerous domains. While IoT is involved in aggregation of data …
and machine learning in numerous domains. While IoT is involved in aggregation of data …
Semantic segmentation for self-driving cars using deep learning: a survey
Autonomous driving is a promising field in today's industry. Many aspects need to be
considered when designing a self-driving system. Understanding a situation is an important …
considered when designing a self-driving system. Understanding a situation is an important …
Song recommendation using mood detection with Xception model
D Mukherjee, I Raj, S Mishra - … and Soft Computing: Proceeding of CISC …, 2022 - Springer
Face recognition technology has already a huge following due to its unlimited applications
and values with huge market potential. It is being implemented in various fields like security …
and values with huge market potential. It is being implemented in various fields like security …
Real-time sign language translator
K Sinha, AO Miranda, S Mishra - … and Soft Computing: Proceeding of CISC …, 2022 - Springer
The main objective of this work is to build a real-time sign language translator to translate
sign language to text using TensorFlow object detection and Python. It would provide an …
sign language to text using TensorFlow object detection and Python. It would provide an …
Integration of machine learning and IoT for assisting medical experts in brain tumor diagnosis
Aastha, S Mishra, S Mohanty - Smart Healthcare Analytics: State of the Art, 2022 - Springer
The irregular development of tissue in the brain or spine is known as a brain tumor. A tumor
is of two types that are malignant or benign. A brain tumor can be differentiated between …
is of two types that are malignant or benign. A brain tumor can be differentiated between …