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A deep learning based model for the detection of pneumonia from chest X-ray images using VGG-16 and neural networks
Pneumonia is a viral infection which affects a significant proportion of individuals, especially
in develo** and penurious countries where contamination, overcrowded, and unsanitary …
in develo** and penurious countries where contamination, overcrowded, and unsanitary …
An experimental analysis of various machine learning algorithms for hand gesture recognition
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 …
communication, hand gestures play an important role so that humans can communicate …
Enhancing the Paddy Disease Classification by Using Cross‐Validation Strategy for Artificial Neural Network over Baseline Classifiers
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 …
in crops and are the major cause of yield losses of up to 16 percent in certain parts of the …
Face image analysis using machine learning: a survey on recent trends and applications
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 …
vision. The human face image conveys information such as age, gender, identity, emotion …
Machine and Deep learning in Biometric Authentication: A Review
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 …
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 …
classification performance of Automatic Face Recognition in Unconstrained Conditions (AFR …
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 …
Physiological changes of breast tissue can be observed and measured through medical …
Advancements in Gesture Recognition Techniques and Machine Learning for Enhanced Human-Robot Interaction: A Comprehensive Review
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 …
applications. Human-robot interaction creates a positive impact in the field of robotics to …
Price Prediction Using Machine Learning Approaches
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 …
market and has the right price. Home buyers have a hard time choosing and cannot make …
A Review on Multiple Face Detection Techniques and Challenges
MK Sharma, P Kumar, PK Bharti, BP Bhuyan - International Conference on …, 2024 - Springer
With prodigious growing in video and image databases, there is fabulous need of an
automatic intelligent system which can understand and examine information in efficient way …
automatic intelligent system which can understand and examine information in efficient way …