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 …
Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment
Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has
merged into the Intelligence of Things concept. This recent trend enables sensors to track …
merged into the Intelligence of Things concept. This recent trend enables sensors to track …
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 …
Rice yield estimation using deep learning
N Mishra, S Mishra, HK Tripathy - International Conference on Innovations …, 2022 - Springer
Global and regional food security heavily relies on effective yield estimation results. Thus
precise and on-time rice yield estimate or prediction is a pivotal factor not only to ensure …
precise and on-time rice yield estimate or prediction is a pivotal factor not only to ensure …
Comparison of machine learning-based approaches to predict the conversion to Alzheimer's disease from mild cognitive impairment
Abstract In Mild Cognitive Impairment (MCI), identifying a high risk of conversion to
Alzheimer's Disease Dementia (AD) is a primary goal for patient management. Machine …
Alzheimer's Disease Dementia (AD) is a primary goal for patient management. Machine …
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 …
Optimizing BTM of HV Battery Pack for Automotive Application Using Electro-Thermal Simulation
One of the important systems in the design of an electric vehicle is the Battery Thermal
Management System (BTMS) which directly affects the operation of the battery in terms of …
Management System (BTMS) which directly affects the operation of the battery in terms of …
BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients
Heart failure (HF) is a leading cause of mortality worldwide. Machine learning (ML)
approaches have shown potential as an early detection tool for improving patient outcomes …
approaches have shown potential as an early detection tool for improving patient outcomes …
An intelligent thyroid diagnosis system utilising multiple ensemble and explainable algorithms with medical supported attributes
The widespread impact of thyroid disease and its diagnosis is a challenging task for
healthcare experts. The conventional technique for predicting such a vital disease is …
healthcare experts. The conventional technique for predicting such a vital disease is …
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 …