Energy enhancement of WSN using fuzzy C-means clustering algorithm
The current issues in the wireless sensor networks (WSN) are to enhance the efficiency of
sensor nodes and their strength to handle node failure. This paper introduced an energy …
sensor nodes and their strength to handle node failure. This paper introduced an energy …
EN-NEAT: enhanced energy efficient threshold-based emergency data transmission routing protocol for wireless body area network
AA Ibrahim, O Bayat, ON Ucan, SA Eleruja - Third International Congress …, 2019 - Springer
Wireless body area network (WBAN) is a network composed of tiny sensor nodes that can
be placed on/in/around the body to measure physiological parameters in real time and …
be placed on/in/around the body to measure physiological parameters in real time and …
Enhancing medical image super-resolution through generative adversarial networks and transformer-based joint feature learning
R Balamanigandan, R Mahaveerakannan… - Artificial Intelligence …, 2024 - taylorfrancis.com
Super-resolution reconstruction in medical imaging has become increasingly crucial for
obtaining high-quality images while minimizing radiation exposure, particularly in low-field …
obtaining high-quality images while minimizing radiation exposure, particularly in low-field …
Evaluation of the climate change in India using machine learning
J Jagannathan, C Divya, T Vadivel… - Artificial Intelligence …, 2024 - taylorfrancis.com
Climate change in India from 1900 to 2023 is a dynamic and evolving phenomenon that has
witnessed significant transformations and challenges over the past century. Over the past …
witnessed significant transformations and challenges over the past century. Over the past …
Computational optimization of the supervised classifiers using landsat-8 multispectral imagery
The spectrum responses of the various biophysical materials on the globe are provided via
satellite images. These spectral responses must be converted into LULC (Land Use Land …
satellite images. These spectral responses must be converted into LULC (Land Use Land …
Securing the internet of things: Investigating common attacks and defense strategies for a resilient ecosystem
The rapid spread of Internet of Things (IoT) devices has brought about unparalleled
connectivity and efficiency in different fields. Nevertheless, the complex network …
connectivity and efficiency in different fields. Nevertheless, the complex network …
Enhancing cybersecurity through lexical analysis of URLs for phishing detection and accuracy modeling
P Sharma - Artificial Intelligence and Information Technologies, 2025 - taylorfrancis.com
Phishing attacks pose a threat to many organizations, causing economic harm, data breaks
and identity theft. Investigating phishing attacks is a difficult task due to the evolution of …
and identity theft. Investigating phishing attacks is a difficult task due to the evolution of …
Performance and energy balanced scheduling algorithm for multicore architectures
KV Kumar - Artificial Intelligence and Information Technologies - taylorfrancis.com
Due to the widespread use of digital home appliances, network gadgets, mobile devices,
and information products, etc., embedded device use has recently skyrocketed in our daily …
and information products, etc., embedded device use has recently skyrocketed in our daily …
Inverse Rate Monotonic Technique for reduced energy consumption of weakly hard real time systems
S Agrawal, A Jain, I Wali, T Kaur - International Conference on …, 2014 - ieeexplore.ieee.org
This paper proposes a simple scheduling algorithm to minimize the energy consumption in
weakly hard real time systems. It uses the (m, k)-model, which requires at least m out of k …
weakly hard real time systems. It uses the (m, k)-model, which requires at least m out of k …