AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes
V Jackins, S Vimal, M Kaliappan, MY Lee - The Journal of …, 2021 - Springer
Healthcare practices include collecting all kinds of patient data which would help the doctor
correctly diagnose the health condition of the patient. These data could be simple symptoms …
correctly diagnose the health condition of the patient. These data could be simple symptoms …
IoT based smart agrotech system for verification of Urban farming parameters
The recent seen intelligent technologies like the internet of things (IoT), computer vision etc.
facilitates farming activities and also provides flexible farm operations. On the other side …
facilitates farming activities and also provides flexible farm operations. On the other side …
Trend analysis using agglomerative hierarchical clustering approach for time series big data
S Pasupathi, V Shanmuganathan, K Madasamy… - The Journal of …, 2021 - Springer
Road traffic accidents are a 'global tragedy'that generates unpredictable chunks of data
having heterogeneity. To avoid this heterogeneous tragedy, we need to fraternize and …
having heterogeneity. To avoid this heterogeneous tragedy, we need to fraternize and …
The application of convolutional neural network model in diagnosis and nursing of MR imaging in Alzheimer's disease
The disease Alzheimer is an irrepressible neurologicalbrain disorder. Earlier detection and
proper treatment of Alzheimer's disease can help for brain tissue damage prevention. The …
proper treatment of Alzheimer's disease can help for brain tissue damage prevention. The …
Novel framework of GIS based automated monitoring process on environmental biodegradability and risk analysis using Internet of Things
A proper method on real-time monitoring of organic biomass degradation and its evaluation
for safeguarding the ecosystem is the need of the hour. The work process designed in this …
for safeguarding the ecosystem is the need of the hour. The work process designed in this …
Machine learning assisted energy optimization in smart grid for smart city applications
Z Tang, H Xie, C Du, Y Liu, OI Khalaf… - Journal of …, 2022 - World Scientific
Peer-to-peer electricity transaction is predicted to play a substantial role in research into
future power infrastructures as energy consumption in intelligent microgrids increases …
future power infrastructures as energy consumption in intelligent microgrids increases …
Automated classification of soil images using chaotic Henry's gas solubility optimization: Smart agricultural system
R Agarwal, NS Shekhawat, AK Luhach - Microprocessors and …, 2021 - Elsevier
The advancements in automation and image processing techniques lead to the agricultural
research a prime focus for the researchers. Soil quality prediction is one of the important …
research a prime focus for the researchers. Soil quality prediction is one of the important …
A Deep Learning-Based Discrete-Time Markov Chain Analysis of Cognitive Radio Network for Sustainable Internet of Things in 5G-Enabled Smart City
SK Sethi, A Mahapatro - Iranian Journal of Science and Technology …, 2024 - Springer
The integration of cognitive radio-based Internet of Things devices in 5G network
environments for smart city applications necessitates effective spectrum management. The …
environments for smart city applications necessitates effective spectrum management. The …
Modified model-agnostic meta-learning
A Pawar - 2020 IEEE International Conference on Machine …, 2020 - ieeexplore.ieee.org
Meta-learning, an idea of" learning to learn," is a machine learning field that applies a
learning algorithm to train a model for performing various tasks. This paper extends the …
learning algorithm to train a model for performing various tasks. This paper extends the …
Prediction and Diagnosis of Heart Diseases Using Data Mining and Artificial Intelligence-Based Algorithms
S Shaik, V Kakulapati - … Systems, Tools, and Technologies for Smart …, 2023 - igi-global.com
Prediction and diagnosis of heart disease have been a problem concerning practitioners
worldwide. It is envisaged that this investigation would aid in identifying the optimum …
worldwide. It is envisaged that this investigation would aid in identifying the optimum …