Early detection and classification of tomato leaf disease using high-performance deep neural network
Tomato is one of the most essential and consumable crops in the world. Tomatoes differ in
quantity depending on how they are fertilized. Leaf disease is the primary factor impacting …
quantity depending on how they are fertilized. Leaf disease is the primary factor impacting …
MapReduce-based big data classification model using feature subset selection and hyperparameter tuned deep belief network
S Rajendran, OI Khalaf, Y Alotaibi, S Alghamdi - Scientific Reports, 2021 - nature.com
In recent times, big data classification has become a hot research topic in various domains,
such as healthcare, e-commerce, finance, etc. The inclusion of the feature selection process …
such as healthcare, e-commerce, finance, etc. The inclusion of the feature selection process …
Accurate magnetic resonance image super-resolution using deep networks and Gaussian filtering in the stationary wavelet domain
G Suryanarayana, K Chandran, OI Khalaf… - IEEE …, 2021 - ieeexplore.ieee.org
In this correspondence, we present an accurate Magnetic Resonance (MR) image Super-
Resolution (SR) method that uses a Very Deep Residual network (VDR-net) in the training …
Resolution (SR) method that uses a Very Deep Residual network (VDR-net) in the training …
[PDF][PDF] Deep learning based intelligent industrial fault diagnosis model.
R Surendran, OI Khalaf… - Computers, Materials & …, 2022 - cdn.techscience.cn
In the present industrial revolution era, the industrial mechanical system becomes
incessantly highly intelligent and composite. So, it is necessary to develop data-driven and …
incessantly highly intelligent and composite. So, it is necessary to develop data-driven and …
Secured and privacy-based IDS for healthcare systems on E-medical data using machine learning approach
Existing methods use static path identifiers, making it easy for attackers to conduct DDoS
flooding attacks. Create a system using Dynamic Secure aware Routing by Machine …
flooding attacks. Create a system using Dynamic Secure aware Routing by Machine …
VLSI Implementation of a High‐Performance Nonlinear Image Scaling Algorithm
OI Khalaf, CAT Romero… - Journal of …, 2021 - Wiley Online Library
This study implements the VLSI architecture for nonlinear‐based picture scaling that is
minimal in complexity and memory efficient. Image scaling is used to increase or decrease …
minimal in complexity and memory efficient. Image scaling is used to increase or decrease …
Security-aware routing on wireless communication for E-health records monitoring using machine learning
An ad hoc structure is self-organizing, self-forming, and system-free, with no nearby
associations. One of the significant limits we must focus on in frameworks is leading. As for …
associations. One of the significant limits we must focus on in frameworks is leading. As for …
Smart healthcare security device on medical IoT using raspberry pi
This paper aims to improve the protection of two-wheelers. This study is divided into two
parts: a helmet unit and a vehicle unit. The primary unit is the helmet unit, which contains a …
parts: a helmet unit and a vehicle unit. The primary unit is the helmet unit, which contains a …
[PDF][PDF] An Improved Multi-Objective Particle Swarm Optimization Routing on MANET.
A Mobile Ad hoc Network (MANET) is a group of low-power consumption of wireless mobile
nodes that configure a wireless network without the assistance of any existing infrastructure …
nodes that configure a wireless network without the assistance of any existing infrastructure …
[PDF][PDF] Correction: Breast Calcifications and Histopathological Analysis on Tumour Detection by CNN
[37] OI Khalaf, GM Abdulsahib and BM Sabbar,“Optimization of wireless sensor network
coverage using the bee algorithm,” Journal of Information Science and Engineering, vol. 36 …
coverage using the bee algorithm,” Journal of Information Science and Engineering, vol. 36 …