A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets
Image segmentation is an essential phase of computer vision in which useful information is
extracted from an image that can range from finding objects while moving across a room to …
extracted from an image that can range from finding objects while moving across a room to …
Recent advances and applications of spiral dynamics optimization algorithm: A review
This paper comprehensively reviews the spiral dynamics optimization (SDO) algorithm and
investigates its characteristics. SDO algorithm is one of the most straightforward physics …
investigates its characteristics. SDO algorithm is one of the most straightforward physics …
Stochastic optimal planning of distribution system considering integrated photovoltaic-based DG and DSTATCOM under uncertainties of loads and solar irradiance
Optimal planning of integration the Photovoltage Distributed Generation (PV-DG) and
DSTATCOM is a crucial task due to the stochastic variations of PV output power and the load …
DSTATCOM is a crucial task due to the stochastic variations of PV output power and the load …
Gravitational search algorithm: a comprehensive analysis of recent variants
Gravitational search algorithm is a nature-inspired algorithm based on the mathematical
modelling of the Newton's law of gravity and motion. In a decade, researchers have …
modelling of the Newton's law of gravity and motion. In a decade, researchers have …
EEWC: energy-efficient weighted clustering method based on genetic algorithm for HWSNs
Wireless sensor networks are widely used in monitoring and managing environmental
factors like air quality, humidity, temperature, and pressure. The recent works show that …
factors like air quality, humidity, temperature, and pressure. The recent works show that …
Improved convolutional neural network based histopathological image classification
V Rachapudi, G Lavanya Devi - Evolutionary Intelligence, 2021 - Springer
Histopathological image classification is one of the important application areas of medical
imaging. However, an accurate and efficient classification is still an open-ended research …
imaging. However, an accurate and efficient classification is still an open-ended research …
A novel gradient boosting regression tree technique optimized by improved sparrow search algorithm for predicting TBM penetration rate
In tunnel mechanized excavation, the tunnel boring machine (TBM), as fast, reliable, and
environment-friendly equipment, has been widely used in tunnel engineering. Accordingly, it …
environment-friendly equipment, has been widely used in tunnel engineering. Accordingly, it …
A new recommendation system using map-reduce-based tournament empowered Whale optimization algorithm
AK Tripathi, H Mittal, P Saxena, S Gupta - Complex & Intelligent Systems, 2021 - Springer
In the era of Web 2.0, the data are growing immensely and is assisting E-commerce
websites for better decision-making. Collaborative filtering, one of the prominent …
websites for better decision-making. Collaborative filtering, one of the prominent …
A new clustering method for the diagnosis of CoVID19 using medical images
With the spread of COVID-19, there is an urgent need for a fast and reliable diagnostic aid.
For the same, literature has witnessed that medical imaging plays a vital role, and tools …
For the same, literature has witnessed that medical imaging plays a vital role, and tools …
A new intrusion detection method for cyber–physical system in emerging industrial IoT
Abstract In Industrial Internet-of-Things, data streams across heterogeneous networks which
results in several cyber–physical attacks. Moreover, the security of unlabeled data is a …
results in several cyber–physical attacks. Moreover, the security of unlabeled data is a …