Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method
Breast cancer is one of the most common reasons for the premature death of women
worldwide. However, early detection and diagnosis of the same can save many lives …
worldwide. However, early detection and diagnosis of the same can save many lives …
Monkeypox detection from skin lesion images using an amalgamation of CNN models aided with Beta function-based normalization scheme
R Pramanik, B Banerjee, G Efimenko, D Kaplun… - Plos one, 2023 - journals.plos.org
We have recently been witnessing that our society is starting to heal from the impacts of
COVID-19. The economic, social and cultural impacts of a pandemic cannot be ignored and …
COVID-19. The economic, social and cultural impacts of a pandemic cannot be ignored and …
A comprehensive survey on state-of-the-art video forgery detection techniques
Video plays a key role in carrying authenticity, especially in the surveillance system, medical
field, court evidence, journalism, and social media among others. However, nowadays the …
field, court evidence, journalism, and social media among others. However, nowadays the …
Transformer-based deep reverse attention network for multi-sensory human activity recognition
R Pramanik, R Sikdar, R Sarkar - Engineering Applications of Artificial …, 2023 - Elsevier
In today's era, one of the important applications of Artificial Intelligence (AI) is Human Activity
Recognition (HAR). It has a wide range of applicability in health monitoring for patients with …
Recognition (HAR). It has a wide range of applicability in health monitoring for patients with …
Microstructural segmentation using a union of attention guided U-Net models with different color transformed images
Metallographic images or often called the microstructures contain important information
about metals, such as strength, toughness, ductility, corrosion resistance, which are used to …
about metals, such as strength, toughness, ductility, corrosion resistance, which are used to …
MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans
Lung cancer is one of the leading causes of cancer-related deaths worldwide. To reduce the
mortality rate, early detection and proper treatment should be ensured. Computer-aided …
mortality rate, early detection and proper treatment should be ensured. Computer-aided …
Three-body entanglement in particle decays
K Sakurai, M Spannowsky - Physical Review Letters, 2024 - APS
Quantum entanglement has long served as a foundational pillar in understanding quantum
mechanics, with a predominant focus on two-particle systems. We extend the study of …
mechanics, with a predominant focus on two-particle systems. We extend the study of …
[HTML][HTML] Late acceptance hill climbing aided chaotic harmony search for feature selection: An empirical analysis on medical data
A Naskar, R Pramanik, SKS Hossain, S Mirjalili… - Expert Systems with …, 2023 - Elsevier
In today's era of data-driven digital society, there is a huge demand for optimized solutions
that essentially reduce the cost of operation, thereby aiming to increase productivity …
that essentially reduce the cost of operation, thereby aiming to increase productivity …
DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images
Breast ultrasound medical images often have low imaging quality along with unclear target
boundaries. These issues make it challenging for physicians to accurately identify and …
boundaries. These issues make it challenging for physicians to accurately identify and …
PT-Finder: A multi-modal neural network approach to target identification
Efficient target identification for bioactive compounds, including novel synthetic analogs, is
crucial for accelerating the drug discovery pipeline. However, the process of target …
crucial for accelerating the drug discovery pipeline. However, the process of target …