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Rice yield estimation using deep learning
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 …
Energy consumption prediction in electrical appliances of commercial buildings using LSTM-GRU model
As with economic growth and urbanization, there is a significant impact on energy
consumption in residential and commercial buildings. Analyzing the energy consumption of …
consumption in residential and commercial buildings. Analyzing the energy consumption of …
Medi-assist: a decision tree based chronic diseases detection model
A Srivastava, S Samanta, S Mishra… - 2023 4th …, 2023 - ieeexplore.ieee.org
Rise of predictive techniques have changed the manner we deal with disease diagnosis in
healthcare domain. Earlier detail analysis of patient data records was done for disease …
healthcare domain. Earlier detail analysis of patient data records was done for disease …
Integrating metaheuristics and artificial intelligence for healthcare: basics, challenging and future directions
Accurate and rapid disease detection is necessary to manage health problems early. Rapid
increases in data amount and dimensionality caused challenges in many disciplines, with …
increases in data amount and dimensionality caused challenges in many disciplines, with …
Meta-Heuristic Algorithm Enabled Artificial Neural Network for Heart Disease Diagnosis Using IoT Smart Sensors
B Namatherdhala, J Mistry… - 2023 Third …, 2023 - ieeexplore.ieee.org
This research work presents a meta-heuristic algorithm enabled Artificial Neural Network
(ANN) for heart disease diagnosis using Internet of Things (IoT) smart sensors. This …
(ANN) for heart disease diagnosis using Internet of Things (IoT) smart sensors. This …
A normalized ANN model for earthquake estimation
D Mehta, PP Das, S Ghosh, S Mishra… - … on applied artificial …, 2023 - ieeexplore.ieee.org
Earthquake is one of the most devastating natural catastrophes, mainly because there is
rarely any advance notice and hence little opportunity to react. This makes the issue of …
rarely any advance notice and hence little opportunity to react. This makes the issue of …
A Smart Data-Driven Prototype for Depression and Stress Tracking in Patients
P Pranjal, S Mallick, M Madan, S Mishra… - International Conference …, 2023 - Springer
One of the most significant issues of our time is how stress affects depression and how
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …
An ensemble learning approach for detection of COVID-19 using chest X-ray
COVID-19 has led to unwanted and serious consequences from the very time of its spread.
Economical India has faced a lot since COVID started spreading, and it has persisted to …
Economical India has faced a lot since COVID started spreading, and it has persisted to …
Optimizing BTM of HV battery pack for automotive application using electro-thermal simulation
SN Naveen, SR Gunti, MAN Kumar… - … Power and Energy …, 2022 - ieeexplore.ieee.org
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 …
COVID-19 outbreak estimation approach using hybrid time series modelling
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 …