Development of Machine Learning based Epileptic Seizureprediction using Web of Things (WoT)
KKS Liyakat, KP Paradeshi, JA Shaikh… - …, 2022 - search.proquest.com
A significant chronic neurological illness called epilepsy and identified by examining Brain
signals that Brain Neurons' produce. In order to generate messages and communicate with …
signals that Brain Neurons' produce. In order to generate messages and communicate with …
[PDF][PDF] Implementation of fault detection framework for healthcare monitoring system using IoT, sensors in wireless environment
DKP Pardeshi - Telematique, 2022 - researchgate.net
Recent technological development has paved the path for various industries to explore and
utilize Internet of Things (IoT) and Wireless sensor networks in their respective fields. One …
utilize Internet of Things (IoT) and Wireless sensor networks in their respective fields. One …
[PDF][PDF] Implementation of carry select adder (CSLA) for area, delay and power minimization
DBD Kadam, KK Pandyaji, KKS Liyakat - Telematique, 2022 - researchgate.net
The biggest systems in VLSI system design are made of low area, delay and low power
designs. Comparing all traditional adders, the Carry Select Adder (CSLA) is one of the …
designs. Comparing all traditional adders, the Carry Select Adder (CSLA) is one of the …
[PDF][PDF] Faster R-CNN Based Rice Leaf Disease Detection method
JA Shaikh, KP Paradeshi - Telematique, 2022 - researchgate.net
Agriculture has a critical part in the country's economic development; hence it is critical to
ensure its advancement. Rice is prime meals of more than 65% of the Indians as it is the key …
ensure its advancement. Rice is prime meals of more than 65% of the Indians as it is the key …
[PDF][PDF] Verilog HDL Implementation of Efficient Lossless EEG Compression Architecture Based on VLSI
KK Pandyaji, DB Kadam - Telematique, 2022 - researchgate.net
According to the work, an effective VLSI device's lossless EEG compression circuit
architecture is presented to improve the dependability and transmission capacity of EEG …
architecture is presented to improve the dependability and transmission capacity of EEG …