[HTML][HTML] 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 …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
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 …
[HTML][HTML] 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 …
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 …
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 …
COVID-19 outbreak estimation approach using hybrid time series modelling
S Chakraborty, S Mishra, HK Tripathy - International Conference on …, 2022 - Springer
In the beginning of March 2020, coronavirus was claimed to be a worldwide pandemic by
the World Health Organization (WHO). In Wuhan, a region in China, around December …
the World Health Organization (WHO). In Wuhan, a region in China, around December …
Enhanced algorithmic job matching based on a comprehensive candidate profile using nlp and machine learning
VS Pendyala, N Atrey, T Aggarwal… - 2022 IEEE Eighth …, 2022 - ieeexplore.ieee.org
We propose to aid the hiring process by automatic profiling of a candidate's social media
presence and using it in conjunction with their resume and other information to suggest an …
presence and using it in conjunction with their resume and other information to suggest an …