Hassan Farooq

ORCID: 0000-0002-5441-0131
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About
Contact & Profiles
Research Areas
  • Blockchain Technology Applications and Security
  • Smart Grid Energy Management
  • IoT and Edge/Fog Computing
  • Job Satisfaction and Organizational Behavior
  • Image and Signal Denoising Methods
  • Artificial Intelligence in Healthcare
  • Energy Load and Power Forecasting
  • BIM and Construction Integration
  • Underwater Vehicles and Communication Systems
  • Transportation and Mobility Innovations
  • Vehicular Ad Hoc Networks (VANETs)
  • Data Mining and Machine Learning Applications
  • Internet of Things and AI
  • Energy Harvesting in Wireless Networks
  • Cyberloafing and Workplace Behavior
  • Employee Performance and Management
  • Advanced Manufacturing and Logistics Optimization
  • Medical Image Segmentation Techniques
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Privacy-Preserving Technologies in Data
  • South Asian Studies and Conflicts
  • Innovations in Concrete and Construction Materials
  • Energy Efficient Wireless Sensor Networks
  • Caching and Content Delivery
  • Brain Tumor Detection and Classification

COMSATS University Islamabad
2019-2022

Bahria University
2022

University of Illinois Urbana-Champaign
2020

University of Lahore
2019

Swinburne University of Technology
2017

In today’s world, hepatitis is a widespread problem related to the medical field, which directly affects lives of mankind. For patient survival, data mining essential in predicting future trends using various techniques. This paper uses three feature selection filter algorithms (FSFAs): relief filter, step disc and Fisher algorithm 15 classifiers free Tanagra software having UCI Machine Learning Repository. process done on dataset with 20 attributes 155 instances. As result, error rate...

10.47852/bonviewjcce2202238 article EN cc-by Journal of Computational and Cognitive Engineering 2022-05-17

Intracranial Hemorrhage (ICH) has high rates of mortality, and risk factors associated with it are sometimes nearly impossible to avoid. Previous techniques detect ICH using machine learning have shown some promise. However, due a limited number labeled medical images available, which often causes poor model accuracy in terms the Dice coefficient, there is much be improved. In this paper, we propose modified u-net curriculum strategy multi-task semi-supervised attention-based model,...

10.3390/app10093297 article EN cc-by Applied Sciences 2020-05-09

Over the last decades, load forecasting is used by power companies to balance energy demand and supply. Among several methods, medium-term necessary for grid's maintenance planning, settings of electricity prices, harmonizing sharing arrangement. The month ahead electrical loads provides information required interchange among companies. For accurate forecasting, this paper proposes a model that uses hourly temperature data predict loads. preprocessing, modified entropy mutual...

10.3390/e22010068 article EN cc-by Entropy 2020-01-04

Information Technology is one of the fast-growing industries. However, it facing a high employee turnover. Lack management support, low level compensation plans, poor relationship with supervisors, limited development and training programs, work stress causes Therefore, this study conducted to identify empirically evaluate factors turnover intention in Pakistan’s software IT For purpose, systematic literature review from literature, survey identified empirically. In survey, total two...

10.1109/access.2022.3181753 article EN cc-by IEEE Access 2022-01-01

Pakistan, China, and the US are three prominent nuclear states having significant profiles as a distinguished State in Islamic world, occupies complex geostrategic position atomic capability with latest missile system located at confluence of central, South Asia Middle East sparkling multidimensional substantial maritime boundaries which entitled warm waters. neighbor is world’s most populous nation, twinkling fast-emerging nation that holds globally second-leading economic power great...

10.62345/jads.2024.13.2.71 article EN Deleted Journal 2024-05-28
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