Prashant Singh Rana

Prashant Singh Rana
Thapar University · Department of Computer Science and Engineering

PhD

About

86
Publications
38,711
Reads
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519
Citations
Introduction
Presently I am working on Parameter Optimization for HEVC/H.265 encoder using multi-objective optimization technique.
Additional affiliations
January 2015 - present
Thapar University
Position
  • Professor (Assistant)
April 2013 - December 2014
Indian Institute of Technology Delhi
Position
  • Project Scientist
January 2010 - March 2013
Education
January 2010 - September 2014
ABV-Indian Institute of Information Technology & Mgmt
Field of study
  • Bioinformatics, Next Generation Sequencing, Data Analysis
August 2005 - June 2007
ABV-Indian Institute of Information Technology & Mgmt
Field of study
  • Database
July 2000 - June 2004

Publications

Publications (86)
Article
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...
Article
Full-text available
Smart Grids (SG) generate extensive data sets regarding the system variables, viz., and demand and supply. These extremely large data sets are known as big data. Hence, preprocessing of this vast data and integration become critical steps in the load forecasting process. The precise prediction of the load is the primary concern while balancing the...
Article
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Person Identification of individuals has dependably been a challenge particularly when it needs to manage the big data sets and the robustness against the components influencing authentication, for example, posture variety, subject to camera distance, light variation, low-quality images and so on. Thus deep learning ends up being an awesome solutio...
Article
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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...
Article
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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...
Article
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This paper presents a novel significance driven inverse distance weighted (SDIDW) filter for the impulsive noise removal in the X-ray images. The proposed SDIDW filter restores the noisy pixel using minimum number of nearest noise-free pixels to achieve good estimation while exhibiting low computational complexity. In the proposed filter, higher pr...
Preprint
Full-text available
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...
Article
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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...
Article
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In the electrical discharge machining (EDM) process, especially during the machining of hardened steels, changes in tool shape have been identified as one of the major problems. To understand the aforesaid dilemma, an initiative was undertaken through this experimental study. To assess the distortion in tool shape that occurs during the machining o...
Chapter
This paper describes our participating system run to the argumentative text understanding shared task for AI Debater at NLPCC 2021 (http://www.fudan-disc.com/sharedtask/AIDebater21/tracks.html). The tasks are motivated towards developing an autonomous debating system. We make an initial attempt with Track-3, namely, argument pair extraction from pe...
Article
Smart Grids (SG) have smart meters and advance metering infrasturutre (AMI) which generates huge data. This data can be used for predicting energy consumption using big data analytics. A very limited work has been carried out in the literature which shows the utilization of big data in energy consumption prediction. In this paper, the proposed meth...
Article
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Physical Classification of ripe fruits is an expensive affair in the agriculture industry and human error can lead to inaccurate results. This paper introduces the concept of an intelligent AI-based system using spectrophotometry and computer vision for automated fruit segregation based on their grade. When the fruit is fed into the proposed system...
Chapter
Mental disorders have been identified as one among the leading causes of the global disease burden. Despite being one of the first nations in the world to identify mental health as an important indicator of personal well-being and having adequate plans and policies for ensuring the same, one in every seven Indians is affected by mental disorders of...
Article
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Approaches for detecting roundabouts in maps are heavily dependent on looking at the problem from a machine-learning powered computer vision perspective. In this paper, we propose a fresh approach, taking core map data into account, that supplements existing techniques in a phenomenal way thereby significantly reducing the machine learning effort i...
Article
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Generative Adversarial Network (GAN) has gained eminence in a very short period as it can learn deep data distributions with the help of a competitive process among two networks. GANs can synthesize images/videos from latent noise with a minimized adversarial cost function. The cost function plays a deciding factor in GAN training and thus, it is o...
Article
Rice is a staple food crop around the world, and its demand is likely to rise significantly with growth in population. Increasing rice productivity and production largely depends on the availability of irrigation water. Thus, the efficient application of irrigation water such that the crop doesn’t experience moisture stress is of utmost importance....
Article
Recent researchers widely used nanoparticle additives for improving thermal and rheological properties of machine lubricant. In present study the effect of Al2O3 and CeO2 nanoparticles on transmission oil (SAE30), hydraulic oil (HYDREX100) and gear oil (EP90) of heavy earth moving machinery is investigated. Nano-lubricant samples are prepared in 0....
Article
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The data flow is an important parameter used in the optimization problem of Wireless Sensor Networks. This paper presents an expert approach for improved data flow prediction based on data discretization and artificial intelligence. The proposed approach has been implemented on various machine learning methods (a total of 17 methods). This data flo...
Article
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Rice is one of the world’s most popular food crops. Since its production is dependent on intensive water use, water management is critical to ensure sustainability of water resource. However, very limited data is available on water use in rice irrigation. In the present study, traditional machine learning methods have been used to predict the irrig...
Preprint
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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...
Article
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The in-silico toxicity prediction techniques are useful to reduce rodents testing (in-vivo). Authors have proposed a computational method (in silico) for the toxicity prediction of small drug molecules using their various physicochemical properties (molecular descriptors), which can bind to the antioxidant response elements (AREs). The software PaD...
Article
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The major intent of peptide vaccine designs, immunodiagnosis and antibody productions is to accurately identify linear B-cell epitopes. The determination of epitopes through experimental analysis is highly expensive. Therefore, it is desirable to develop a reliable model with significant improvement in prediction models. In this study, a hybrid mod...
Article
Modern 5G-enabled Intelligent Transportation System (ITS) provides comfort and safety to the end users by using various models and techniques most of which are based on the machine learning-based techniques. However, a large number of issues such as congestion control, safety and security, traffic management exist in modern ITS for which AI-based t...
Article
The wireless sensor network (WSN) is gaining paramount importance due to its application in real-time monitoring of vast geographical regions. The deployment paradigm shift is taking place from mobile computing to data science. Bridging the two technologies results in the development of dependable network in which security plays a pivotal role. Thi...
Chapter
Mental disorders have been identified as one among the leading causes of the global disease burden. Despite being one of the first nations in the world to identify mental health as an important indicator of personal well-being and having adequate plans and policies for ensuring the same, one in every seven Indians is affected by mental disorders of...
Chapter
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...
Article
Full-text available
This paper is a case study of utilizing machine learning for developing a decision-making system for auditors before initializing the audit fieldwork of public firms. Annual data of 777 firms from 14 different sectors are collected and a MCTOPE (Multi criteria ToPsis based Ensemble) framework is implemented to build an ensemble classifier. MCTOPE f...
Article
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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...
Article
Life threatening diseases like adult T-cell leukemia, neurodegenerative diseases, demyelinating diseases such as HTLV-1 based myelopathy/tropical spastic paraparesis (HAM/TSP), hypocalcaemia, and bone lesions are caused by group of human retrovirus known as Human T-cell Lymphotropic virus (HTLV). Out of the four different types of HTLVs, HTLV-1 is...
Article
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Ozone and particulate matter (PM), \(\hbox {PM}_{10}\) and \(\hbox {PM}_{2.5}\), were monitored along with meteorological parameters at a semi-urban location, Patiala, in the north-western Indo-Gangetic plain from December 2013 to November 2014. The annual mean concentration levels of \(\hbox {PM}_{10}, \hbox {PM}_{2.5}\) and ozone were recorded as...
Article
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Multiple sclerosis (MS) is a neurodegenerative disease characterized by lesions in the central nervous system (CNS). Inflammation and demyelination are the leading causes of neuronal death and brain lesions formation. The immune reactivity is believed to be essential in the neuronal damage in MS. Cytokines play important role in differentiation of...
Article
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The authors have proposed an efficient multilevel prediction model for better activity assessment to test whether certain chemical compounds can disrupt processes in the human body that may create negative health effects. Here, a computational method (in-silico) is proposed for the quality prediction of drugs in terms of their activity, activity sc...
Article
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Transactions through the web are now a progressive mechanism to access an ever increasing range of services over more and more diverse environments. The internet provides many opportunities for companies to provide personalized online services to their customers but the quality and novelty of some web services may adversely affect the appeal and us...
Article
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Output can be predicted from experimental or achieve data by using machine learning models like random forest, artificial neural network, decision tree and many more models. Each model has its own limitations and advantages. To improve model's accuracy, outcome of multiple models can be combined for prediction. The way of combining the predictions...
Article
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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...
Conference Paper
Age, gender, makeup and illumination classification has become one of the major challenges and these tasks has become relevant increasing amount of applications. Nevertheless, performance of existing method is still significantly lacking, especially when compared to tremendous leaps in performance. In this paper we have applied various machine lear...
Article
Development of an effective machine-learning model for T-cell Mycobacterium tuberculosis (M. tuberculosis) epitopes is beneficial for saving biologist’s time and effort for identifying epitope in a targeted antigen. Existing NetMHC 2.2, NetMHC 2.3, NetMHC 3.0 and NetMHC 4.0 estimate binding capacity of peptide. This is still a challenge for those s...
Conference Paper
Full-text available
Many crucial applications of wireless sensor networks rely radically on routing protocols for an efficient data delivery. This paper presents a case study of scrutinizing the use-fulness of hybridization of machine learning classifiers in order to develop a Multi-Criteria Topsis based Ensemble (MCTOPE) framework. Technique for Order of preferences...
Article
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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...
Conference Paper
A Multi-Level Ensemble method is presented for the development of vehicular traffic noise prediction models. Different machine learning methods have been used to develop models to predict the hourly equivalent continuous sound pressure level, Leq, at different locations in the Patiala city in India. The variables considered include the traffic volu...
Article
Full-text available
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...
Chapter
Full-text available
Hands play an important part in expressing one’s actions and ideas thus Hand Gesture Recognition (HGR) is very significant in computer vision based gesture recognition for Human Computer Interaction (HCI). In our work, the dataset has been generated for five hand gestures (Close Hand, Open Hand, Victory Hand, Thumb Down and Thumb Up), by making vid...
Article
Full-text available
This paper is a case study of visiting an external audit company to explore the usefulness of machine learning algorithms for improving the quality of an audit work. Annual data of 777 firms from 14 different sectors are collected. The Particle Swarm Optimization (PSO) algorithm is used as a feature selection method. Ten different state-of-the-art...
Article
In Small Scale Wireless Sensor Networks (SSWSNs), reliability is defined as the capability of a network to perform its intended task under certain conditions for a stated time span. There are many tools for modeling and analyzing the reliability of a network. As the intricacy of various networks is increasing, there is a need for many sophisticated...
Article
With the evolution of technology, the attention of customers for the shopping has triggered to online platforms in a way that can never be thought of thus, giving a huge competition to the traditional methods but with this there arises a case of doubt in the perceived service quality of the products/services. For attracting the customers towards it...
Article
The life of people is imperiled by umpteen chemicals unwittingly through the diverse sources like food, cleaning products, medicines, etc. At times, these chemicals can be toxic. Assessing and analyzing the toxicity of these chemical compounds can lead us to prospects to improve the environmental chemicals and invent new medicines. Tox21 crowdsourc...