A machine intelligence technique for predicting cardiovascular disease (CVD) using Radiology Dataset

K Saikumar, V Rajesh - … Journal of System Assurance Engineering and …, 2024 - Springer
Heart disease is a serious medical problem that affects a large number of people and their
lives; cardiac disease (CAD) is one of these threats. There is no substantial study in medical …

[PDF][PDF] Progressed iot based remote health monitoring system

D Sam, S Srinidhi, VR Niveditha… - … Journal of Control …, 2020 - researchgate.net
Because of a bustling timetable and unpredictable way of life, health risk isn't an age-
subordinate factor in the ongoing time. Under these conditions, Internet of Things has given …

A comparative performance analysis of machine learning approaches for the early prediction of diabetes disease

TR Mahesh, V Vivek, VV Kumar… - … on Advances in …, 2022 - ieeexplore.ieee.org
Diabetes is a chronic condition that affects a large number of people. Diabetes can be
predicted early on, which can lead to better treatment. One of the main causes of this …

Improved face recognition method using SVM-MRF with KTBD based KCM segmentation approach

Rangayya, Virupakshappa, N Patil - International Journal of System …, 2024 - Springer
Digital image processing is a technique for visually analyzing images that can be
manipulated using different approaches. It can also be used to improve image quality and …

Pipelined Distributive Arithmetic-based FIR Filter Using Carry Save and Ripple Carry Adder

M Saritha, C Radhika, MN Reddy… - … and Industry 4.0 …, 2021 - ieeexplore.ieee.org
FIR filter bank play a vital role in any signal processing systems. The FIR filter is used to
implement any frequency response digitally. Usually, the FIR filters contain multipliers …

[PDF][PDF] Detect and classify zero day Malware efficiently in big data platform

VR Niveditha, TV Ananthan, S Amudha… - … Journal of Advanced …, 2020 - researchgate.net
Malware has long been familiar on the Internet nowadays as one of the most prominent
cyber threats. It expands rapidly in volume, velocity and variety, which overcoming the …

Energy-efficient, high-performance and memory efficient FIR adaptive filter architecture of wireless sensor networks for IoT applications

JCR Kumar, DV Kumar - Sādhanā, 2022 - Springer
Noise contaminates and distorts measurements from wireless sensor networks (WSNs). The
sensor node's computations and energy consumption are increased due to the noise in the …

[HTML][HTML] Early diagnosis of Alzheimer disease from MRI using deep learning models

A Allada, R Bhavani, K Chaduvula, R Priya - Journal of Information …, 2023 - jitm.ut.ac.ir
On a global scale, one of the prevalent causes of dementia is Alzheimer's disease (AD). It
will cause a steady deterioration in the individual from the mild stage to the severe stage …

Speech Enhancement: A Survey of Approaches and Applications

S Chhetri, MS Joshi, CV Mahamuni… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
The paper provides a comprehensive overview of speech enhancement techniques and
their applications. It discusses challenges in non-stationary noise, reverberation, and …

Adaptive FIR filter design with approximate adder and hybridized multiplier for efficient noise eradication in sensor nodes

S Immareddy, A Sundaramoorthy… - ECS Journal of Solid …, 2023 - iopscience.iop.org
Abstract Finite Impulse Response (FIR) filter contributes a major role in most of the signal
processing applications. However, the Finite Impulse Response filter performance is …