A deep learning based model for the detection of pneumonia from chest X-ray images using VGG-16 and neural networks

S Sharma, K Guleria - Procedia Computer Science, 2023 - Elsevier
Pneumonia is a viral infection which affects a significant proportion of individuals, especially
in developing and penurious countries where contamination, overcrowded, and unsanitary …

An experimental analysis of various machine learning algorithms for hand gesture recognition

S Bhushan, M Alshehri, I Keshta, AK Chakraverti… - Electronics, 2022 - mdpi.com
Nowadays, hand gestures have become a booming area for researchers to work on. In
communication, hand gestures play an important role so that humans can communicate …

Face image analysis using machine learning: a survey on recent trends and applications

MH Siddiqi, K Khan, RU Khan, A Alsirhani - Electronics, 2022 - mdpi.com
Human face image analysis using machine learning is an important element in computer
vision. The human face image conveys information such as age, gender, identity, emotion …

Enhancing the Paddy Disease Classification by Using Cross‐Validation Strategy for Artificial Neural Network over Baseline Classifiers

V Malathi, MP Gopinath, M Kumar… - Journal of …, 2023 - Wiley Online Library
Pathogens, including viruses, bacteria, and fungus, are the biotic agents that cause illnesses
in crops and are the major cause of yield losses of up to 16 percent in certain parts of the …

Machine and Deep learning in Biometric Authentication: A Review

D Singla, N Verma - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Biometric authentication is getting privileged as it allows authentication of a legitimate user
without entering a personal identification number or password. Only a glance of any physical …

Deep convolutional multi-informative metric correlation analysis with bottleneck attention module for face recognition in the wild

M Amrani - Multimedia Tools and Applications, 2024 - Springer
Feature representation and verification have always been a difficult problem in the
classification performance of Automatic Face Recognition in Unconstrained Conditions (AFR …

Advancements in Gesture Recognition Techniques and Machine Learning for Enhanced Human-Robot Interaction: A Comprehensive Review

S Hussain, K Saeed, A Baimagambetov, S Rab… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years robots have become an important part of our day-to-day lives with various
applications. Human-robot interaction creates a positive impact in the field of robotics to …

Breast cancer classification application based on QGA-SVM

Y Dong, Z Li, Z Chen, Y Xu… - Journal of Intelligent & …, 2023 - content.iospress.com
Early diagnosis of breast cancer plays an important role in improving survival rate.
Physiological changes of breast tissue can be observed and measured through medical …

An Artificial Intelligence Based Attendance Monitoring System

N Gadey, SD Pande - Machine Vision and Augmented …, 2024 - books.google.com
In the realm of student attendance monitoring systems, facial recognition technology is a
central component. This method relies on identifying unique facial features like eye shape …

Price Prediction Using Machine Learning Approaches

M Kumar - Proceedings of 4th International Conference on …, 2025 - books.google.com
The common problem for the average home buyers is that which property is the best on the
market and has the right price. Home buyers have a hard time choosing and cannot make …