Anomaly detection in traffic surveillance videos using deep learning
In the recent past, a huge number of cameras have been placed in a variety of public and
private areas for the purposes of surveillance, the monitoring of abnormal human actions …
private areas for the purposes of surveillance, the monitoring of abnormal human actions …
A systematic literature review on soft computing techniques in cloud load balancing network
S Negi, DP Singh, MMS Rauthan - International Journal of System …, 2024 - Springer
Providing, an on-demand facility in the cloud network is one of the finest services for cloud
users. To maintain this dynamic and foremost service, a cloud network must pose the best …
users. To maintain this dynamic and foremost service, a cloud network must pose the best …
A novel optimized recurrent network-based automatic system for speech emotion identification
Speech is a unique characteristic of humans that expresses one's emotional viewpoint to
others. Speech emotion recognition (SER) identifies the speaker's emotion from the speech …
others. Speech emotion recognition (SER) identifies the speaker's emotion from the speech …
Enhancement technique based on the breast density level for mammogram for computer-aided diagnosis
Mass detection in mammograms has a limited approach to the presence of a mass in
overlapping denser fibroglandular breast regions. In addition, various breast density levels …
overlapping denser fibroglandular breast regions. In addition, various breast density levels …
Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection
R Laishram, R Rabidas - Expert Systems with Applications, 2023 - Elsevier
Breast cancer is a grave concern among women due to its high mortality rate in women as
compared to that in men. Mass, an early symptom of breast cancer, is difficult to detect due to …
compared to that in men. Mass, an early symptom of breast cancer, is difficult to detect due to …
Wormhole attack detection techniques in ad-hoc network: A systematic review
Mobile ad hoc networks (MANETs) are considered as decentralized networks, which can
communicate without pre-existing infrastructure. Owning to utilization of open medium …
communicate without pre-existing infrastructure. Owning to utilization of open medium …
Early breast cancer screening from thermography via deep pre-trained edge detection with extreme gradient boosting
Breast cancer is the most common type of cancer affecting women worldwide. Early
diagnosis is crucial for successful treatment, recovery, and mortality reduction. Therefore …
diagnosis is crucial for successful treatment, recovery, and mortality reduction. Therefore …
Hardware deployment of deep learning model for classification of breast carcinoma from digital mammogram images
R Venkatraman, S Patil - Medical & Biological Engineering & Computing, 2023 - Springer
Cancer is an illness that instils fear in many individuals throughout the world due to its lethal
nature. However, in most situations, cancer may be cured if detected early and treated …
nature. However, in most situations, cancer may be cured if detected early and treated …
Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer
Medical image segmentation plays a vital role in various clinical applications, enabling
accurate delineation and analysis of anatomical structures or pathological regions …
accurate delineation and analysis of anatomical structures or pathological regions …
Analysis on Improved Gaussian-Wiener filtering technique and GLCM based Feature Extraction for Breast Cancer Diagnosis
KV Ranjitha, TP Pushphavathi - Procedia Computer Science, 2024 - Elsevier
Breast cancer is become the most prevailing and fastest growing disease. In medical
imaging, the use of machine learning and deep learning algorithms is essential …
imaging, the use of machine learning and deep learning algorithms is essential …