The kinetic Monte Carlo (KMC) method is a popular modeling approach for reaching large materials length and time scales. The KMC dynamics is erroneous when atomic processes that are relevant to the dynamics are missing from the...
Intrinsically disordered proteins (IDPs) and regions (IDRs) form a large part of the eukaryotic proteome. Contrary to the structure-function paradigm, the disordered proteins perform a myriad of functions in vivo. Consequently...
The emerging field of material-based data science requires information-rich databases to generate useful results which are currently sparse in the stress engineering domain. To this end, this study uses the'materials-aware'...
The rapidly growing technology has created new form of gaming platform for youth. The online gaming industry is revolutionised with the emergence of information technology and advanced graphical engines. The purpose of this...
This paper has organized a heart disease-related dataset from UCI repository. The organized dataset describes variables correlations with class-level target variables. This experiment has analyzed the variables by different...
The paper reviews the efforts to compose SOAP, non-SOAP and non-web services. Traditionally efforts were made for composite SOAP services, however, these efforts did not include the RESTful and non-web services. A SOAP service...
The Indian ecommerce industry has been growing substantially because of changing mindset of the Indian customers and ease of shopping online. A large number of sellers had registered on online marketplaces so that the sellers...
This paper describes a simple model for comparing the degree of electronic coupling between molecules and electrodes across different large-area molecular junctions. The resulting coupling parameter can be obtained directly from...
This essay takes as its point of departure the Truth and Reconciliation Commission of Canada’s recommendations for facilitating understanding of reconciliation between “Indigenous and non-Indigenous Canadians,” specifically, the...
This paper investigates empirically the impact of antecedents of Behavioral Intention and Trust of users to use IoT enabled devices. With the help of UTAUT2 model along with the review of literature a conceptual model has been...
This essay takes as its point of departure the Truth and Reconciliation Commission of Canada’s recommendations for facilitating understanding of reconciliation between “Indigenous and non-Indigenous Canadians,” specifically, the...
Coronavirus disease 2019 (COVID-19) is a severe acute respiratory syndrome caused by Coronavirus 2 (SARS-CoV-2). In the light of its rapid global spreading, on 11 March 2020, the World Health Organization has declared it a...
High power light emitting diode (LED) arrays have been investigated as excitation sources for long pulse and lock-in thermography. Images of artificial defects in a carbon fibre reinforced plastic (CFRP) composite sample are...
With evolving technology, a huge data is being generated from everywhere in various forms. The driving factors for the evolution of data, such as retail, media, banking, healthcare, and education, leads to a very large and...
Human papillomavirus (HPV) infection is a pre-requisite for cervical cancer, which represents the third most common cancer among women worldwide. A causal relationship also exists between HPV and cancer in other areas of the...
The purpose of the paper is to provide an overview of the issues related to Artificial Intelligence (AI) applications in the Indian healthcare sector and provide input to policy makers. A qualitative approach has been used in...
The purpose of this paper is to identify factors predicting perceived intention of using IoT by Indians. To fulfill the purpose, basing on literature review and on diffusion theory of planned behavior (DTPB) model, factors...
An objective comparison of three different thermal non-destructive evaluation (NDE) techniques - pulsed thermography (PT), lock-in (LI) thermography, and frequency modulated thermal wave imaging (FMTWI), has been carried out on...
To address the high rate of false alarms, this article proposed a voting-based method to efficiently predict intrusions in real time. To carry out this study, an intrusion detection dataset from UNSW was downloaded and...