About
31
Publications
19,179
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
459
Citations
Introduction
Machine Learning, Text Mining, Data Mining, Bioinformatics
Current institution
Additional affiliations
November 2014 - June 2017
March 2008 - November 2014
Publications
Publications (31)
One class of short non-coding RNA molecule that is well recognized is called PIWI-interacting RNA (piRNA). PiRNAs are involved in the creation of novel medications as well as the identification of different kinds of tumors. Additionally, it is associated with stopping transposes, managing gene transcription, and maintaining genomic integrity. The i...
Post-Translational Modification (PTM) of proteins plays a vital role in both disease and normal states. Protein acetylation is an important PTM in eukaryotes as it greatly changes the properties of a protein including hydrophobicity and solubility. Therefore, in both metabolism and regulatory processes, acetylation and other PTMs perform a critical...
A documented class of short non-coding RNA molecules is known as PIWI interacting RNA (PiRNA). The creation of new drugs and the identification of various tumor types are linked to the PiRNA molecules. Additionally, it is related to controlling transcription of genes, squelching transposons, and preserving genomic stability. The discovery of piRNAs...
N7-methyl guanosine (m7G) is a common post-transcriptional RNA alteration that plays a role in various biological processes such as gene expression, protein synthesis and cell viability. It is also linked to several illnesses, thus a thorough understanding of the mechanism and biological activities of m7G sites is required. Several machine learning...
Smart grid is an emerging system providing many benefits in digitizing the traditional power distribution systems. However, the added benefits of digitization and the use of the Internet of Things (IoT) technologies in smart grids also poses threats to its reliable continuous operation due to cyberattacks. Cyber–physical smart grid systems must be...
Physical layer security for wireless sensor networks (WSNs) is a laborious and highly critical issue in the world. Wireless sensor networks have great importance in civil and military fields or applications. Security of data/information through wireless medium remains a challenge. The data that we transmit wirelessly has increased the speed of tran...
The choice of this topic was influenced from the concept that statistical analysis of different attributes representing certain endpoints of behavior during radio communication in cognitive networks was necessary to study the outliers occurring in those parameters. The importance of cognitive radio is explained in detail in the literature review se...
Tissue remodeling is one of the most important and crucial biological process. Process in which tissue reorganization and renovation takes place is called tissue remodeling. Mean of recovery in human beings is tissue remodeling in which damaged tissue are replaced completely with new tissue or through tissue repairmen types physiological and pathol...
Reverse image search has been a vital and emerging research area of information retrieval. One of the primary research foci of information retrieval is to increase the space and computational efficiency by converting a large image database into an efficiently computed feature database. This paper proposes a novel deep learning-based methodology, wh...
Internet of Things (IoT) is a developing technology that provides the simplicity and benefits of exchanging data with other devices using the cloud or wireless networks. However, the changes and developments in the IoT environment are making IoT systems susceptible to cyber attacks which could possibly lead to malicious intrusions. The impacts of t...
To reduce crime rates, there is a need to understand and analyse emerging patterns of criminal activities. This study examines the occurrence patterns of crimes using the crime dataset of Lahore, a metropolitan city in Pakistan. The main aim is to facilitate crime investigation and future risk analysis using visualization and unsupervised data mini...
In this era of technology, a lot of advancements have been done in almost every field such as medical, science, aerospace and other fields. With the increasing advancements in technology, a lot of data is being produced at the same time. For instances in the field of medicine there is a huge amount of data that is being generated as there are hundr...
Heart attack and other heart-related diseases are among the main causes of fatalities in the world. These diseases and some other severe problems like kidney failure and paralysis are mainly caused by hypertension. Since bioactive peptides extracted from naturally existing food substances possess antihypertensive activity, these antihypertensive pe...
Cloud computing alludes to high adaptable processing. Applications, stockpiles, and stages as help to organizations, people, and governments. Along these lines, SMB (Small and Medium Business) associations are adjusting cloud processing administrations continuously to spare the expense and to increment productivity in their business condition. Whil...
IOT is one of the most advancing development of 21st century. IOT refers to a network of all those items that are used in association with electronics, sensors and software to enhance connection, collection and data exchange. IOT makes it easy to connect all of your things or devices with internet. A wireless sensor network [WSN] is network of smal...
Dengue fever has emerged as a big threat to human health since the last decade owing to high morbidity with considerable mortalities. The proposed study aims at the in silico investigation of the inhibitory action against DENV4-NS1 of phytochemicals from two local medicinal plants of Pakistan. Non-Structural Protein 1 of Dengue Virus 4 (DENV4-NS1)...
Likewise the fingerprints and palm prints, footprints are also helpful in solving a crime puzzle; however, very few studies have been reported targeting the identification of sex-based upon footprint features. Therefore, the present study aims at the identification of sex using footprint features from the population of Punjab, Pakistan. The foot me...
Background
Dengue fever has emerged as a serious threat in Pakistan in the last few years with high morbidity rates and substantial mortality. In the present study, NS2B/NS3 protease from four dengue virus (DENV) serotypes have been targeted using 2350 phytochemicals from various medicinal plants.
Material and methods
The phytochemicals were subje...
ABSTRACT. In the age of emerging technologies, the amount of data is increasing very rapidly. With the passage of time, the methods of data handling are getting improved. Prediction analysis is quite a tough task, but it also yields interesting results. Different sectors like financial services, transportation, health and education are generating l...
Dengue fever is one of the most prevalent disease in tropical and sub-tropical regions of the world. According to the World Health Organisation (WHO), approximately 3.5 billion people have been affected with dengue fever. Four serotypes of dengue virus (DENV) i.e. DENV1, DENV2, DENV3 and DENV4 have up to 65% genetic variations among themselves. den...
It is a recurring limiting factor to obtain sufficient concentrations of soluble proteins using in vitro methodologies. Solubility is an independent characteristic of a protein which can be determined using amino acid compositions under specific experimental conditions. The present study aims at the prediction of protein solubility by adapting mach...
Forensic Science is a branch of science used for criminal investigations. It provides scientific evidence to prove a suspect in the court. Friction ridges of a human finger leave an impression on any surface, which encounters it, which is a fingerprint. As fingerprints can be identified uniquely, so from years it is a popular biometric way of ident...
Association rule mining research typically focuses on positive association rules (PARs), generated from frequently occurring itemsets. However, in recent years, there has been a significant research focused on finding interesting infrequent itemsets leading to the discovery of negative association rules (NARs). The discovery of infrequent itemsets...
The focus of the association rule mining community, to a major extent, has been towards mining positive association rules. The negative association rules, counterparts of the positive association rules, have attained much less attention of the researchers. Finding the association rules from temporal perspective is quite new to the data mining commu...
Due to the developments in technology number of applications emerged that produce huge amount of data in the form of streams. Dealing with this and extracting useful information from that data is a real challenge. In this paper, we have developed an architecture that can be used to manage data streaming applications and can extract useful informati...