Intrusion detection in networks using crow search optimization algorithm with adaptive neuro-fuzzy inference system
Intrusion detection system has become the fundamental part for the network security and
essential for network security because of the expansion of attacks which causes many …
essential for network security because of the expansion of attacks which causes many …
Segmentation of nuclei in histopathology images using fully convolutional deep neural architecture
VA Natarajan, MS Kumar, R Patan… - … on computing and …, 2020 - ieeexplore.ieee.org
Nuclei segmentation is an initial step in the automated analysis of digitized microscopic
images. This paper focuses on utilizing the LinkNET-34 architecture for semantic …
images. This paper focuses on utilizing the LinkNET-34 architecture for semantic …
The performances of iterative type-2 fuzzy C-mean on GPU for image segmentation
NA Ali, AE abbassi, B Cherradi - The Journal of Supercomputing, 2022 - Springer
Fuzzy C-mean (FCM) is an algorithm for data segmentation and classification, robust and
very popular within the scientific community. It is used in several fields such as computer …
very popular within the scientific community. It is used in several fields such as computer …
Knowledge based fuzzy c-means method for rapid brain tissues segmentation of magnetic resonance imaging scans with CUDA enabled GPU machine
Abstract Fuzzy C-Means (FCM) plays a major role in brain tissue segmentation. The
proposed method aims to implements rapid brain tissue segmentation from MRI human …
proposed method aims to implements rapid brain tissue segmentation from MRI human …
Image steganography using LSB and hybrid encryption algorithms
M Alanzy, R Alomrani, B Alqarni, S Almutairi - Applied Sciences, 2023 - mdpi.com
In today's era of widespread web technology and cloud computing, ensuring data security
has become a crucial concern across various industries. Instances of data breaches and …
has become a crucial concern across various industries. Instances of data breaches and …
Emergent IoT wireless technologies beyond the year 2020: A comprehensive comparative analysis
Low-power wide area networks (LPWANs) has recently emerged as a popular long-range
and low-speed radio communication technology as a result of the important growth of the …
and low-speed radio communication technology as a result of the important growth of the …
Study of discrete PID controller for DC motor speed control using MATLAB
S Balamurugan, A Umarani - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
DC motors are known for simple design and consistency are used for control area section of
the industry. In many variable speed systems, it is commonly used where wide speed ranges …
the industry. In many variable speed systems, it is commonly used where wide speed ranges …
A modified salp swarm algorithm (SSA) combined with a chaotic coupled map lattices (CML) approach for the secured encryption and compression of medical images …
Medical image data analysis is a significant data in medical systems to analyze patient's
health record. The biomedical image processing techniques and modernization of image …
health record. The biomedical image processing techniques and modernization of image …
Certain Investigations on IoT system for COVID-19
S Jaafari, A Alhasani, SM Almutairi - … Conference on Computing …, 2020 - ieeexplore.ieee.org
Corona Viruses are a group of viruses that can cause diseases such as colds, severe acute
respiratory syndrome (SARS) and the Middle East Respiratory Syndrome (MERS). A new …
respiratory syndrome (SARS) and the Middle East Respiratory Syndrome (MERS). A new …
Automotive domain controller
D Wang, S Ganesan - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Today, every electronic control system in the car, such as Instrument Cluster, Infotainment,
Anti-lock braking system, Engine Management System, Transmission Control Unit, and Body …
Anti-lock braking system, Engine Management System, Transmission Control Unit, and Body …