Lazhar Khriji
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View article: Deep Learning-Based Fish Health Monitoring and Diagnosis: A Review
Deep Learning-Based Fish Health Monitoring and Diagnosis: A Review Open
Fish in aquaculture systems face health challenges influenced by aging, water quality, and environmental conditions. These issues affect critical components like feeding and filtration, potentially reducing efficiency and causing system fa…
View article: Enhanced lightweight encryption algorithm based on chaotic systems
Enhanced lightweight encryption algorithm based on chaotic systems Open
In order to improve security and efficiency, this study presents a novel lightweight encryption technique that makes use of chaotic systems. Our method creatively combines the new chaotic KLEIN_64 algorithm with the Keccak-256 hash functio…
View article: Prediction Enhancement of Metasurface Absorber Design Using Adaptive Cascaded Deep Learning (ACDL) Model
Prediction Enhancement of Metasurface Absorber Design Using Adaptive Cascaded Deep Learning (ACDL) Model Open
This paper presents a customized adaptive cascaded deep learning (ACDL) model for the design and performance prediction of metasurface absorbers. A multi-resonant metasurface absorber structure is introduced, with 10 target-driven design p…
View article: Perspective Chapter: Lightweight Ciphers for IoT Data Protection
Perspective Chapter: Lightweight Ciphers for IoT Data Protection Open
The book chapter highlights the importance of securing online identities using lightweight encryption in the Internet of Things (IoT). It explores how lightweight ciphers can enhance the security of digital personas by safeguarding user in…
View article: Prediction Enhancement of Metasurface Absorbers Design Using Adaptive Cascaded Deep Learning (Acdl) Model
Prediction Enhancement of Metasurface Absorbers Design Using Adaptive Cascaded Deep Learning (Acdl) Model Open
This paper presents a customized adaptive cascaded deep learning (ACDL) model for the design and performance prediction of metasurface absorbers. A multi-resonant metasurface absorber structure is introduced, with 10 target-driven design p…
View article: Corrections to “Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training”
Corrections to “Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training” Open
Presents corrections to the paper, (Corrections to “Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training”).
View article: Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training
Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training Open
Machine learning algorithms based on deep neural networks have been widely used in many fields especially in computer vision, with impressive results. However, these models are vulnerable to different types of attacks like adversarial ones…
View article: A novel enhanced chaos based present lightweight cipher scheme
A novel enhanced chaos based present lightweight cipher scheme Open
Lightweight ciphers have been developed to meet the rising need for secure communication in environments with limited resources. These ciphers provide robust encryption while ensuring efficient computation. Our paper introduces a new enhan…
View article: A Secure Chaos-Based Lightweight Cryptosystem for the Internet of Things
A Secure Chaos-Based Lightweight Cryptosystem for the Internet of Things Open
This paper introduces a novel approach to addressing the security challenges of the Internet of Things (IoT) by presenting a secure Chaos-based lightweight cryptosystem. The proposed design incorporates a Pseudo-Chaotic Numbers Generator c…
View article: Secure Convolutional Neural Network-Based Internet-of-Healthcare Applications
Secure Convolutional Neural Network-Based Internet-of-Healthcare Applications Open
Convolutional neural networks (CNNs) have gained popularity for Internet-of-Healthcare (IoH) applications such as medical diagnostics. However, new research shows that adversarial attacks with slight imperceptible changes can undermine dee…
View article: ECG Pattern Recognition Technique for Atrial Fibrillation Detection
ECG Pattern Recognition Technique for Atrial Fibrillation Detection Open
Atrial Fibrillation (AF) is the most common pathologic of sinus tachycardia, which is the result of an increased rate of depolarization in the sinoatrial node (the sinoatrial node discharges electrical impulses at a higher frequency than n…
View article: Virtual Healthcare Center for COVID-19 Patient Detection Based on Artificial Intelligence Approaches
Virtual Healthcare Center for COVID-19 Patient Detection Based on Artificial Intelligence Approaches Open
At the end of 2019, the infectious coronavirus disease (COVID-19) was reported for the first time in Wuhan, and, since then, it has become a public health issue in China and even worldwide. This pandemic has devastating effects on societie…
View article: COVID-19 Recognition Based on Patient's Coughing and Breathing Patterns Analysis: Deep Learning Approach
COVID-19 Recognition Based on Patient's Coughing and Breathing Patterns Analysis: Deep Learning Approach Open
The World Health Organization has declared that the new Coronavirus disease (Covid-19) has become a pandemic since March 2020. It consists of an emerging viral infection with respiratory swelling that can progress to atypical pneumonia. In…
View article: Automatic heart disease class detection using convolutional neural network architecture‐based various optimizers‐networks
Automatic heart disease class detection using convolutional neural network architecture‐based various optimizers‐networks Open
Early heart disease class detection is of great interest to reduce the mortality rate. In this context, computational techniques have been proposed to solve this issue. Thus, here, a deep learning architecture is proposed to automatically …
View article: HW/SW Co-‘esign for Dates Classification on Xilinx Zynq SoC
HW/SW Co-‘esign for Dates Classification on Xilinx Zynq SoC Open
This paper proposes HW/SW Co-design of an automatic classification system of Khalas, Khunaizi, Fardh, Qash, Naghal, and Maan dates fruit varieties in Oman. The system implements pre-processing, segmentation of the colored input images, col…
View article: Artificial Intelligent Techniques for Palm Date Varieties Classification
Artificial Intelligent Techniques for Palm Date Varieties Classification Open
The demand on high quality palm dates is increasing due to its energy value and nutrient content, which are of great importance in human diet. To meet consumer and market standards with large-scale production, in Oman as among the top date…
View article: Deep Learning-Based Approach for Atrial Fibrillation Detection
Deep Learning-Based Approach for Atrial Fibrillation Detection Open
View article: Classification of Omani's Dates Varieties Using Artificial Intelligence Techniques
Classification of Omani's Dates Varieties Using Artificial Intelligence Techniques Open
Date fruits are considered as one of the most popular fruits in the Middle East. Oman is one of the countries that have many varieties of dates and the most well-known are Khalas, Fardh and Khunaizi. Nowadays, the process of classifying di…
View article: Multichannel Image Processing Using Fuzzy Vector Median-Rational Hybrid Filters
Multichannel Image Processing Using Fuzzy Vector Median-Rational Hybrid Filters Open
Publication in the conference proceedings of EUSIPCO, Tampere, Finland, 2000
View article: An Experimental Performance Evaluation and Compatibility Study of the Bluetooth Low Energy Based Platform for ECG Monitoring in WBANs
An Experimental Performance Evaluation and Compatibility Study of the Bluetooth Low Energy Based Platform for ECG Monitoring in WBANs Open
A long term healthcare monitoring system requires battery operated devices with low-power technologies. Researchers tried to adapt various short-range technologies for Wireless Body Area Networks (WBANs) in ubiquitous health monitoring. Th…