Imran Ahmad

ORCID: 0000-0002-8518-419X
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About
Contact & Profiles
Research Areas
  • Sentiment Analysis and Opinion Mining
  • Digital Marketing and Social Media
  • Distributed and Parallel Computing Systems
  • Particle Detector Development and Performance
  • Advanced Text Analysis Techniques
  • Particle physics theoretical and experimental studies
  • Technology Adoption and User Behaviour
  • Intergenerational Family Dynamics and Caregiving
  • Particle Accelerators and Free-Electron Lasers
  • ERP Systems Implementation and Impact
  • Banking stability, regulation, efficiency
  • Quality and Supply Management
  • Impact of AI and Big Data on Business and Society
  • Big Data and Business Intelligence
  • Education and Islamic Studies
  • Topological and Geometric Data Analysis
  • Spam and Phishing Detection
  • Consumer Behavior in Brand Consumption and Identification
  • Computational Drug Discovery Methods
  • Competitive and Knowledge Intelligence
  • Consumer Retail Behavior Studies
  • Working Capital and Financial Performance
  • Graph theory and applications
  • Taxation and Compliance Studies
  • Customer Service Quality and Loyalty

Riphah International University
2018-2022

Abdul Wali Khan University Mardan
2019

Gulf University for Science & Technology
2019

University of Central Punjab
2019

Superior University
2017

Universiti Sains Malaysia
2016

Government of Pakistan
2015

York University
1996

University of Mary
1996

Argonne National Laboratory
1996

Education sector has witnessed several changes in the recent past. These have forced private universities into fierce competition with each other to get more students enrolled. This resulted adoption of marketing practices by similar commercial brands. To competitive gain, must observe and examine students' feedback on their own social media sites along competitors. study presents a novel framework which integrates numerous analytical approaches including statistical analysis, sentiment text...

10.32604/cmc.2022.023785 article EN Computers, materials & continua/Computers, materials & continua (Print) 2022-01-01

On social media websites, there is a huge amount of data that available for free and can be used in variety ways. For the case competitive intelligence, are ways like analysis user-generated content as well competitor's through text mining, sentiment quantitative analysis. This study applies verified framework based on mining this problem to analyze twitter three giants soft drink industry namely Coca Cola, Pepsi Fanta. There has been deep relationship found among number tweets, nature...

10.1109/besc.2018.8697304 article EN 2018-11-01

Let $G=(V(G),E(G))$ be a molecular graph, where $V(G)$ and $E(G)$ are the sets of vertices (atoms) edges (bonds). A topological index graph is numerical quantity which helps to predict chemical/physical properties molecules. The Wiener, Wiener polarity terminal indices distance based indices. In this paper, we described linear time algorithm {\bf(LTA)} that computes for acyclic graphs extended unicyclic graphs. same algorithms modified compute index. All these in $O(n)$.

10.1155/2021/6663306 article EN cc-by Complexity 2021-01-01

This paper profiles the flow of credit to manufacturing SMEs and their subsectors in Pakistan. We discuss challenges confronting SME sector as well role central bank this context. Based on literature data available, we find that financing witnessed a gradual steady increase absolute terms, although its share total industry declined sharply over nine-year period. Financing initially then increased period six years.

10.35536/lje.2015.v20.isp.a12 article EN ˜The œLahore journal of economics 2015-09-01

Abstract In current century, big number of people adopting social media very fastly because is reliable, fast and easy to use. So, many industries also, like Facebook analyze their customers’ reviews, emotions understand behavior, which helpful in providing facilities customers. Nowadays bulk data available on media. To increase competitive benefits assess environment industries, companies need as well customer generated data. guide large understanding how they may use emotion marketing...

10.1093/comjnl/bxac042 article EN The Computer Journal 2022-03-21

Introduction: Studies have shown that caregiving is associated with high burden could affect caregivers’ mental and physical well-being. Unfortunately, caregivers are often overlooked even by healthcare professionals. With the rise of our elderly population morbidity from stroke, there a need to assess among family in society. This study was carried out determine level stroke patients attending Hospital Universiti Sains Malaysia Kelantan evaluate possible risk factors those burden. Methods:...

10.31436/imjm.v15i1.1260 article EN IIUM Medical Journal Malaysia 2016-11-10

Paper and board industry has long supply chain. Material comes from different steps for production delivers to end customers. Process starts forest where trees cut down sent further processing. Lead time is first step end. In the entire process, many parties involve like suppliers, organization management at A lot of collaboration information’s sharing done availability raw material production. Objective this study measure effect chain practices (customer relationship management, strategic...

10.15224/978-1-63248-141-54 article EN 2017-12-10

Text mining is a logical way of content and to know about feelings users. Social media plays vital role in letting people each other views. An ever increasing number different online integration brands are working on Facebook, Instagram, Twitter social networks furnish several directions collaborate with multiple consumers. helps companies enhance their businesses get audience feedback for the betterment business timeline. Consequently, lot customer produced uninhibitedly accessible via...

10.1109/besc.2018.8697313 article EN 2018-11-01
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