Improved metaheuristic-driven energy-aware cluster-based routing scheme for IoT-assisted wireless sensor networks
The Internet of Things (IoT) is a network of numerous devices that are consistent with one
another via the internet. Wireless sensor networks (WSN) play an integral part in the IoT …
another via the internet. Wireless sensor networks (WSN) play an integral part in the IoT …
Improved metaheuristics-based clustering with multihop routing protocol for underwater wireless sensor networks
Underwater wireless sensor networks (UWSNs) comprise numerous underwater wireless
sensor nodes dispersed in the marine environment, which find applicability in several areas …
sensor nodes dispersed in the marine environment, which find applicability in several areas …
Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images
Breast cancer is a commonly occurring disease in women all over the world. Mammogram is
an efficient technique used for screening and identification of abnormalities over the breast …
an efficient technique used for screening and identification of abnormalities over the breast …
IoT-based traffic prediction and traffic signal control system for smart city
Because of the population increasing so high, and traffic density remaining the same, traffic
prediction has become a great challenge today. Creating a higher degree of communication …
prediction has become a great challenge today. Creating a higher degree of communication …
When machine learning meets spectrum sharing security: Methodologies and challenges
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
An intelligent cognitive-inspired computing with big data analytics framework for sentiment analysis and classification
Advancements in recent networking and information technology have always been a natural
phenomenon. The exponential amount of data generated by the people in their day-to-day …
phenomenon. The exponential amount of data generated by the people in their day-to-day …
An efficient low complexity compression based optimal homomorphic encryption for secure fiber optic communication
Latest advancements in fiber optic communication have gained significant attention among
researchers owing to many benefits such as high data rate, acceptable cost, bandwidth, low …
researchers owing to many benefits such as high data rate, acceptable cost, bandwidth, low …
Deep learning frameworks for cognitive radio networks: Review and open research challenges
Deep learning has been proven to be a powerful tool for addressing the most significant
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …
Handcrafted deep-feature-based brain tumor detection and classification using mri images
P Mohan, S Veerappampalayam Easwaramoorthy… - Electronics, 2022 - mdpi.com
An abnormal growth of cells in the brain, often known as a brain tumor, has the potential to
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
Deep learning-based computer aided diagnosis model for skin cancer detection and classification
Skin cancer is a commonly occurring disease, which affects people of all age groups.
Automated detection of skin cancer is needed to decrease the death rate by identifying the …
Automated detection of skin cancer is needed to decrease the death rate by identifying the …