Rehman Ur Saif

• M.phil student at Punjab Technical University

Frequent itemset mining (FIM) is a major component in association rule mining, significantly influencing its performance. FIM is a computationally intensive nondeterministic polynomial time (NP)-hard problem. At the core of FIM is the task of computing support of candidate itemsets. This problem becomes more severe when the dataset is dense as the...

The regular frequent pattern mining (RFPM) approaches are aimed to discover the itemsets with significant frequency and regular occurrence behavior in a dataset. However, these approaches mainly suffer from the following two issues: (1) setting the frequency threshold parameter for the discovery of regular frequent patterns technique is not an easy...

Internet of Things (IoT)-backed smart shopping carts are generating an extensive amount of data in shopping markets around the world. This data can be cleaned and utilized for setting business goals and strategies. Artificial intelligence (AI) methods are used to efficiently extract meaningful patterns or insights from such huge amounts of data or...

Plants are unique source of food, medicinal artifacts, energy and shelter for both human and animal., many useful harvests obtained from plants directly or indirectly validate their importance to the human and other living organisms. Drug discovery, often known as "natural product screening," is the process of evaluating all available medications u...

Nitrogen (N) and sulfur (S) play a crucial role in improving the grain yield and oil quality of oil crops. An experiment entitled "Integrated effect of nitrogen and sulphur levels on productive traits and quality of black cumin (Nigella sativa L.)" was conducted at Agricultural Research Farm, The University of Haripur during November to May (Rabi s...

Purpose Knowledge sharing has become necessary for organizations as it is a source of competitive advantage. Therefore, this study aims to investigate how empowering leadership through psychological empowerment encourages employees’ knowledge-sharing (KS) behavior. This study further explores the moderating role of learning goal orientation (LGO) b...

Purpose This study focused on nonconventional marketing (in-game advertisement interactivity) to understand consumers’ purchase intentions. Specifically, this study aims to explore the intervening role of feelings of presence between in-game advertisement interactivity and consumer purchase intention. It further explores whether game–product congru...

The goal of this analysis is to explore the impact of domestic private investment in large-scale manufacturing sector on the output growth of the large-scale manufacturing in Pakistan. The investigation utilized yearly data for the year 1973-2020. By applying the autoregressive distributed lag (ARDL) technique, the study examines both short-term an...

Purpose Innovation has become a necessity for the information technology (IT) sector, especially during COVID-19 pandemic. Therefore, this study aims to investigate how knowledge sharing affects employees’ innovative work behavior (IWB). Specifically, the study examined occupational self-efficacy (as mediating mechanism) and entrepreneurial leaders...

Plastic wastes have recently emerged as one of the alarming threats to the marine environment. The issue of contamination of marine plastic is not new; it has been recognized for over half a century. The problem can no longer be ignored, thanks to growing media attention and incidents such as the finding of the Great Pacific Garbage Patch. This iss...

Modern day civilization is dependent on energy generation by fossil fuels. But the major drawback of using fossil fuels is environmental pollution. Microalgae are potential candidate for production of various products of interest, such as proteins, mini food, pigments and triglycerides that can be converted into biofuels. Lignocellulosic feedstocks...

Text document clustering is an important issue in the field of information retrieval and web mining. Huge amount of text documents are needed to be clustered so that search engines can retrieve these documents efficiently and effectively. In this paper we present a novel approach for clustering text documents based on Maximal Frequent Item-set (MFI...

The quality of a finished MESFET is assessed by evaluating its DC and AC characteristics, whilst the target characteristics can be achieved by optimizing the device parameters prior to its fabrication. In this research the I-V and R.F characteristics of submicron SiC MESFET are simulated. In order to achieve optimum values of simulated intrinsic pa...