A5015110943- Complex Network Analysis Techniques
- Topic Modeling
- Expert finding and Q&A systems
- scientometrics and bibliometrics research
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Online Learning and Analytics
- Distributed and Parallel Computing Systems
- Artificial Intelligence in Healthcare
- Recommender Systems and Techniques
- Text and Document Classification Technologies
- Scientific Computing and Data Management
- Data Mining Algorithms and Applications
- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Web visibility and informetrics
- Data Quality and Management
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Mobile Crowdsensing and Crowdsourcing
- Biomedical Text Mining and Ontologies
- Web Data Mining and Analysis
- Semantic Web and Ontologies
- Multiferroics and related materials
- Social Media and Politics
International Islamic University, Islamabad
2015-2024
Northeastern University
2024
Universidad del Noreste
2023
University of the Punjab
2018
Indiana University Bloomington
2015-2017
Software Requirements Engineering has paved its roots in both industry and academia, as today's complex systems are programmed to provide efficient user-centric functionalities. This also refers the emergence of challenges Elicitation techniques, approaches, tools while performing them. Particularly, area for software development, a number techniques approaches have been observed literature but mobile application which is different from traditional not discussed much past studies. Short...
Purpose This study reviews the methods found in literature for ranking of authors, identifies pros and cons these methods, discusses compares methods. The purpose this paper is to find challenges future directions academic objects, especially researchers. Design/methodology/approach classifies them into subcategories by studying analyzing their way achieving objectives, them. data sets used evaluation measures applicable domain are also presented. Findings survey involved field authors...
Abstract The quality of the scientific publication plays an important role in generating a large number citations and raising work's visibility. According to several studies, has been actively used measure publications. Existing studies have identified document-related factors, author-related journal-related altmetrics as factors that influence article. However, majority stated indicators for determining involve from are related author or venue article but these not content ignored by...
Finding rising stars is a challenging and interesting task which being investigated recently in co-author networks. Rising are authors who have low research profile the start of their career but may become experts future. This paper introduces new method Weighted Mutual Influence Rank (WMIRank) for finding stars. WMIRank exploits influence co-authors' citations, order appearance publication venues. Comprehensive experiments performed to analyze performance comparison baseline methods,...
Named entity recognition (NER) is an important task in natural language processing, as it widely featured a key information extraction sub-task with numerous application areas. A plethora of attempts was made for NER detection Western and Asian languages. However, little effort has been to develop techniques the Urdu language, which prominent South hundreds millions speakers across globe. considered hard problem owing several reasons, including paucity large, annotated datasets; inaccurate...
In the age of big data, there is increasing growth data on Internet. It becomes frustrating for users to locate desired data. Therefore, text summarization emerges as a solution this problem. summarizes and presents with gist provided documents. However, summarizer systems face challenges, such poor grammaticality, missing important information, redundancy, particularly in multi-document summarization. This study involves development graph-based extractive generic MDS technique, named...
Purpose Link prediction in social networks refers toward inferring the new interactions among users near future. Citation are constructed based on citing each other papers. Reciprocal link citations about getting a citation from an author, whose work is already cited by you. The paper aims to discuss these issues. Design/methodology/approach In this paper, authors study extent which information of two-way relationship (called reciprocal) predictable. propose seven different features papers,...
Convolutional neural network (CNN) models have been extensively applied to skin lesions segmentation due their information discrimination capabilities. However, CNNs' struggle capture the connection between long-range contexts when extracting deep semantic features from lesion images, resulting in a gap that causes distortion lesions. Therefore, detecting presence of differential structures such as pigment networks, globules, streaks, negative and milia-like cysts becomes difficult. To...
Purpose Citation analysis is an important measure for the assessment of quality and impact academic entities (authors, papers publication venues) used ranking research articles, authors venues. It a common observation that high-level venues, with few exceptions ( Nature , Science PLOS ONE ), are usually topic specific. The purpose this paper to investigate claim correlation between specificity citation count different types venues (journals, conferences workshops)....
Measuring the impact and productivity of an author is important, yet a challenging task. Most existing methods for ranking or indexing authors are based on simple parameters such as publication counts, citation counts their combinations. These topic independent, hence ignoring intra-field differences. This study introduces specific method researchers to measure in given field interest, believing that can be interested more than one fields have different level expertise all these fields....