Harpreet Singh

Tel Aviv University | TAU · Department of Electrical Engineering - Physical Electronics

This article proposes a hybrid network model for video-based human facial expression recognition (FER) system consisting of an end-to-end 3D deep convolutional neural networks. The proposed network combines two commonly used deep 3-dimensional Convolutional Neural Networks (3D CNN) models, ResNet-50 and DenseNet-121, in an end-to-end manner with sl...

As cancer cases are looming large worldwide, the applications of data science and machine learning in these fields possess a greater scope especially when there is the availability of data containing the drug synergy score of different combinations. Predictive analytics holds the ability to generate a more efficient and accurate drug synergy score,...

Feature selection is commonly employed for identifying the top n features that significantly contribute to the desired prediction, for example, to find the top 50 or 100 genes responsible for lung or kidney cancer out of 50,000 genes. Thus, it is a huge time- and resource-consuming practice. In this work, we propose a divide-and-conquer technique w...

Arm Venous Segmentation plays a crucial role in smart venipuncture. e di culties faced in locating veins for intravenous procedures can be diminished using computer vision for vein imaging. To facilitate this, a high-resolution dataset consisting of arm images was curated and has been presented in this study. Leveraging the ability of Near Infrared...

The single image super-resolution (SISR) is a challenging problem due to its ill-posed nature. The main aim of SISR methods is to generate a high-resolution image from a low-resolution image from a given high-resolution image. Recently, learning methods of SISR based gained popularity due to advanced convolution neural networks (CNN). These network...

Exponential growth in digital information outlets and the race to publish has made scientific misinformation more prevalent than ever. However, the task to fact-verify a given scientific claim is not straightforward even for researchers. Scientific claim verification requires in-depth knowledge and great labor from domain experts to substantiate su...

With the outbreak of the Coronavirus Disease in 2019, life seemed to be had come to a standstill. To combat the transmission of the virus, World Health Organization (WHO) announced wearing of face mask as an imperative way to limit the spread of the virus. However, manually ensuring whether people are wearing face masks or not in a public area is a...

The COVID-19 pandemic has affected all the countries in the world with its droplet spread mode. The colossal amount of cases has strained all the healthcare systems due to the serious nature of infections especially for people with comorbidities. A very high specificity Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) test is the principal...

Big data has been a topic of interest for many researchers and industries for the past few decades. Due to the exponential growth of technology today, a tremendous amount of data is generated every minute. This article provides a strategic review study on Big data in the healthcare sector. In particular, this article highlights various applications...

Exponential growth in digital information outlets and the race to publish has made scientific misinformation more prevalent than ever. However, the task to fact-verify a given scientific claim is not straightforward even for researchers. Scientific claim verification requires in-depth knowledge and great labor from domain experts to substantiate su...

The escalating transmission intensity of COVID-19 pandemic is straining the healthcare systems worldwide. Due to the unavailability of effective pharmaceutical treatment and vaccines, monitoring social distancing is the only viable tool to strive against asymptomatic transmission. Pertaining to the need of monitoring the social distancing at popula...

The big problem for neural network models which are trained to count instances is that whenever test range goes high training range generalization error increases i.e. they are not good generalizers outside training range. Consider the case of automating cell counting process where more dense images with higher cell counts are commonly encountered...

OpenSim is a modeling and simulation-based open source software for the purpose of advanced rehabilitation research work. It has an extensive range of applications, which enables rehabilitation by discovering treatments for neurological disorders followed by therapies to cure movement abnormalities. In the field of orthopedics, OpenSim provides the...

In humans, oxidative stress is involved in the development of diabetes, cancer, hypertension, Alzheimers' disease, and heart failure. One of the mechanisms in the cellular defence against oxidative stress is the activation of the Nrf2-antioxidant response element (ARE) signalling pathway. Computation of activity, efficacy, and potency score of ARE...

With an exponential increase in the penetration of electric vehicles in modern smart communities, the dependency on traditional fuel is decreasing from the last few years. However, to find an optimal and available place for charging of electric vehicles is still one of the challenging tasks. To address this issue, this paper proposes a technique to...

Prediction of drug synergy score is an ill-posed problem. It plays an efficient role in the medical field for inhibiting specific cancer agents. An efficient regression-based machine learning technique has an ability to minimise the drug synergy prediction errors. Therefore, in this study, an efficient machine learning technique for drug synergy pr...

Image fusion is a way to merge high spatial resolution image with low-resolution image, which is extensively utilized in several vision-based applications. The primary objective is to improve the radiometric quality of fused image compared to multi-spectral images with low resolution. Existing methods are found to be efficient, but if the similar r...

H1B work visas are utilized to contract profoundly talented outside specialists at low wages in America which help firms and impact U.S economy unfavorably. In excess of 100,000 individuals for every year apply tight clamp for higher examinations and also to work and number builds each year. Selections of foreigners are done by lottery system which...

Drug synergy prediction plays a significant role in the medical field for inhibiting specific cancer agents. It can be developed as a pre-processing tool for therapeutic successes. Examination of different drug–drug interaction can be done by drug synergy score. It needs efficient regression-based machine learning approaches to minimize the predict...