Deep learning models for digital image processing: a review

R Archana, PSE Jeevaraj - Artificial Intelligence Review, 2024 - Springer
Within the domain of image processing, a wide array of methodologies is dedicated to tasks
including denoising, enhancement, segmentation, feature extraction, and classification …

Survey of deep learning techniques for disease prediction based on omics data

X Yu, S Zhou, H Zou, Q Wang, C Liu, M Zang, T Liu - Human Gene, 2023 - Elsevier
In the era of big data, computer science has been applied to every aspect of biomedical
field. At the same time, transforming biomedical data into valuable knowledge is one of the …

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 …

Attention-based deep learning framework for human activity recognition with user adaptation

D Buffelli, F Vandin - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Sensor-based human activity recognition (HAR) requires to predict the action of a person
based on sensor-generated time series data. HAR has attracted major interest in the past …

A PCCN-Based Centered Deep Learning Process for Segmentation of Spine and Heart: Image Deep Learning

KU Kiran, G Mamidisetti, C shaker Pittala… - … of Research on …, 2022 - igi-global.com
The spinal cord and heart in the body are major organs. Diagnosis of diseases in these
organs is very complex using MRI and CT images. The conventional methods like post …

Analysis for the system recommended books that are fetched from the available dataset

S Nagendram, MSRK Nag… - … on Smart Systems …, 2022 - ieeexplore.ieee.org
The book recommendation systems provide practical information from datamining platform
with the evidence of Valuable sources. The Artificial intelligence (AI) concepts are more …

Adaptive convolution neural networks for electrical resistivity inversion

B Liu, Q Guo, K Wang, Y Pang, L Nie… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Electrical Resistivity Inversion is an inverse problem that intends to infer the resistivity model
from apparent resistivity data. The input and output have the format as the image but are with …

Social media reviews based hotel recommendation system using collaborative filtering and big data

SH Ahammad, S Dwarkanath, R Joshi… - Multimedia Tools and …, 2024 - Springer
To eliminate the concerns of cold-start and scalability within the filtering, collaborative
recommendation system for a hotel under the ranking list for the customer; this study …

Simulative study on integrated optical multimode waveguides with guided beams based on the system standardization of elements

ANZ Rashed, K Jahan, AB Mohammad… - Journal of Optical …, 2022 - degruyter.com
This study has outlined simulative study on integrated optical multimode waveguides with
guided beams based on the system standardization of elements. Deflection of a cantilever …

Dimensionality reduction procedure for bigdata in machine learning techniques

KU Kiran, D Srikanth, PS Nair… - 2022 6th …, 2022 - ieeexplore.ieee.org
In the present field of software applications, the prominently employed parameters for
parameters control are the kinds of models such as cloud computing, machine learning, and …