Publications
Publications
Filter by
Utilization of Machine Learning In RTL-GL Signals Correlation
Verification is an important part of the Electronic Design Automation (EDA) design flow which currently takes a considerable amount of time. During the synthesis process, Different optimizations are done to the Register-Transfer-Level (RTL) code to optimize the power, area, and speed of the circuit. These optimizations result in changes in the names of signals at the gate level. Automatic signal
Securing Hardware from Malicious Attacks
Hardware security is considered a major design and manufacturing target area with a broad range of research and development topics such as protection of intellectual property (IP), metering of hardware, detection of hardware Trojans, and a lot of other topics. This paper discusses Trojan realization in integrated circuits (ICs), as well as the possible security measures, also exploring the usage
General Trans-Compiler based Mobile Applications Converter
Deployment on different platforms has been a great issue for mobile companies that aim to maximize the return on investments by making their mobile applications available on different mobile platforms. Consequently, the app may be developed several times to match different platforms. Therefore, there is a need to have solutions that enable the developers to develop the app once, and run it
Early breast cancer diagnostics based on hierarchical machine learning classification for mammography images
Breast cancer constitutes a significant threat to women’s health and is considered the second leading cause of their death. Breast cancer is a result of abnormal behavior in the functionality of the normal breast cells. Therefore, breast cells tend to grow uncontrollably, forming a tumor that can be felt like a breast lump. Early diagnosis of breast cancer is proved to reduce the risks of death by
Vehicle Software Update over ICN Architectures
The Internet Protocol (IP) architecture could not fully satisfy Vehicular Ad-hoc Networks (VANETs) needed efficiency due to their dynamic topology and high mobility. This paper presents a technique to update the software of Electronic Control Units (ECUs) in vehicles using Information Centric Network (ICN) architecture. The proposed technique replaces Flashing Over The Air (FOTA) using IP with
Bivariate Double Density Discrete Wavelet for Enhanced Image Denoising
Image denoising is of paramount importance in image processing. In this paper, we propose a new design technique for the design of Double density Discrete Wavelet Transform (DD DWT) AND DD CWT filter bank structure. These filter banks satisfy the perfect reconstruction as well as alias free properties of the DWT. Next, we utilized this filter bank structure in image denoising. Our denoising scheme
Quad-Port UWB MIMO antenna based on LPF with vast rejection band
This manuscript introduces orthogonally polarized quad-element multi-input multi-output (MIMO) antenna with improved isolation. The proposed design of a miniaturized volume of 43 × 43 × 1.5 mm3 covers vast impedance bandwidth more than 17.85 GHz commences at 2.15 GHz to more than 20 GHz, corresponding to reflection coefficient below – 10 dB. A quad-port low-pass filter (LPF) with a very wide
An eco-concerned development of a fast, precise and economical spectrophotometric assay for the antiviral drug simeprevir based on ion-pair formation
Simeprevir sodium (SMV) is one of the antiviral drugs used for the treatment of virus C. The current strategy develops and validates a new eco-concerned tool for its quantification in the pure and pharmaceutical formulations. Sulfonephthalein acid dyes were used for this purpose, applying visible analyses based on ion-pair formation. A linear relation between the absorbed signal and the drug
Nanomaterial-based drug delivery systems as promising carriers for patients with COVID-19
Once the World Health Organization (WHO) declared the COVID-19 outbreak to be pandemic, massive efforts have been launched by researchers around the globe to combat this emerging infectious disease. Here we review the most recent data on the novel SARS-CoV-2 pathogen. We analyzed its etiology, pathogenesis, diagnosis, prevention, and current medications. After that, we summarized the promising