An IoT-based agriculture maintenance using pervasive computing with machine learning technique

S Kailasam, SDM Achanta… - International Journal of …, 2022 - emerald.com
Purpose In cultivation, early harvest offers farmers an opportunity to increase production
while decreasing the chances of lower crop production rates, ensuring that the economy …

Heart disease detection based on feature fusion technique with augmented classification using deep learning technology

K Saikumar, V Rajesh, BS Babu - Traitement du Signal, 2022 - search.proquest.com
An accurate prediction of cardiac disease is a crucial task for medical and research
organizations. Cardiac patients are usually facing heart attacks sometimes tends to death …

1-Bit FinFET carry cells for low voltage high-speed digital signal processing applications

CS Pittala, V Vijay, BNK Reddy - Silicon, 2023 - Springer
In this paper, new high speed and low voltage 1-bit FinFET full adder carry cells are
proposed for multi-bit arithmetic applications used in Digital Signal Processing (DSP) …

Design and development of intelligent voice personal assistant using python

V Appalaraju, V Rajesh, K Saikumar… - … on Advances in …, 2021 - ieeexplore.ieee.org
In this work, describe a virtual personal assistant for smart phones and other devices that
acts as a helping hand to improve various personal responsibilities, allowing people to focus …

Fraud detection in credit card transactions using SVM and random forest algorithms

SKS Hussain, ESC Reddy, KG Akshay… - … conference on I …, 2021 - ieeexplore.ieee.org
This project's primary objective is to detect credit card fraud in the real world. Recent growth
has resulted in a significant increase in the number of credit card transactions. The objective …

Global warming analysis and prediction using data science

MP Reddy, A Aneesh, K Praneetha… - 2021 Fifth International …, 2021 - ieeexplore.ieee.org
This paper analyzes the presentation of the machine learning algorithm, linear regression
for prediction of global temperature and carbon emissions from previous years collected …

A novel classification model for high accuracy detection of Indian currency using image feature extraction process

A Murthy, PJ Rani, SM Almakassees… - AIP Conference …, 2023 - pubs.aip.org
A Novel Classification Model for High Accuracy Detection of Indian Currency Using Image
Feature Extraction Process Page 1 A Novel Classification Model for High Accuracy …

A Critical Cloud Security Risks Detection Using Artificial Neural Networks at Banking Sector

R Velmurugan, R Kumar, D Saravanan… - Artificial Intelligence for …, 2023 - Springer
Abstract This research uses Artificial Neural Network (ANN) algorithms to forecast cloud
computing and security issues. To forecast cloud security level performance, suggested …

Magnetic Resonance Images for Spinal Cord Location Detection Using a Deep-Learning Model

SH Ahammad, A Sampath Dakshina Murthy… - Artificial Intelligence for …, 2023 - Springer
The rapid growth in radiology tends to provide solutions to MR images and their diagnosis.
In this work, MR images of spinal cord injury is estimated using deep-learning techniques …

A novel lightweight CNN-based error-reduced carry prediction approximate full adder design for multimedia applications

R Nishanth, CH Sulochana - Neural Computing and Applications, 2024 - Springer
Approximation approaches have been developed for very large-scale integration
architecture to limit power consumption and increase effective throughput. The full adder …