Effective and secure transmission of health information using advanced morphological component analysis and image hiding
The using morphological component analysis, deep learning, and steganography, this study
examines the secure transmission, identification, and validation of textual pictures via this …
examines the secure transmission, identification, and validation of textual pictures via this …
Implementation of IoT in various domains
Abstract The Internet of Things (IoT) impacts the advancement of house automation, health
care, security, and privacy. We use the Internet of Things for industry 4. The smart home …
care, security, and privacy. We use the Internet of Things for industry 4. The smart home …
Investigating role of iot in the development of smart application for security enhancement
IoT solutions enable customers to automate, analyze, and integrate their systems to a
greater extent. They broaden the breadth and accuracy of these fields. The Internet of Things …
greater extent. They broaden the breadth and accuracy of these fields. The Internet of Things …
[BOOK][B] IoT based smart applications
The Internet of Things (IoT) is emerging as one of the most prominent technological
concepts in the twenty-first century. We live in a world where new objects are connected to …
concepts in the twenty-first century. We live in a world where new objects are connected to …
A database application of monitoring COVID-19 in India
A quick user-friendly application of any pandemic situation can reduce the huge value of
mortality with producing the graph of cases. Simple database application can make sense to …
mortality with producing the graph of cases. Simple database application can make sense to …
Breast cancer detection using machine learning algorithms
Breast cancer is diagnosed in over 2 million people worldwide each year., according to
cancer research. accounting for the majority of all cancer diagnoses and deaths., rendering …
cancer research. accounting for the majority of all cancer diagnoses and deaths., rendering …
Deep learning and machine learning based facial emotion detection using CNN
SK Singh, RK Thakur, S Kumar… - 2022 9th International …, 2022 - ieeexplore.ieee.org
Human emotions are the psychological conditions of sentiments that are encountered
impulsively which imply the expressions on the face. By using Machine Learning and Deep …
impulsively which imply the expressions on the face. By using Machine Learning and Deep …
Performance analysis of deep neural networks using computer vision
INTRODUCTION: In recent years, deep learning techniques have been made to outperform
the earlier state-of-the-art machine learning techniques in many areas, with one of the most …
the earlier state-of-the-art machine learning techniques in many areas, with one of the most …
Clustering of big data in cloud environments for smart applications
New worries and difficulties in data management and analysis have arisen in response to
the fast rise of big data in the IT sector. Common difficulties include those of scale, velocity …
the fast rise of big data in the IT sector. Common difficulties include those of scale, velocity …
An image-based deep learning approach for personalized outfit selection
R Anand, V Nirmal, Y Chauhan… - 2023 10th International …, 2023 - ieeexplore.ieee.org
In today's world, population is immensely increasing day by day. This increasing population
has led to an increase in people's demand for modern fashion. From social media and …
has led to an increase in people's demand for modern fashion. From social media and …