J
Jaiteg Singh
Researcher at University Institute of Engineering and Technology, Panjab University
Publications - 150
Citations - 893
Jaiteg Singh is an academic researcher from University Institute of Engineering and Technology, Panjab University. The author has contributed to research in topics: Computer science & Data quality. The author has an hindex of 9, co-authored 116 publications receiving 397 citations. Previous affiliations of Jaiteg Singh include University College of Engineering & Chitkara University.
Papers
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Assessing OpenStreetMap Data Using Intrinsic Quality Indicators: An Extension to the QGIS Processing Toolbox
TL;DR: It is concluded that the scripts developed to provide an intuitive method to assess the OSM data based on quality indicators can be easily utilized for evaluating the fitness-of-use of the data of any region.
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Toward energy-efficient cloud computing: a survey of dynamic power management and heuristics-based optimization techniques
TL;DR: A complete picture of energy efficiency in cloud computing is provided, which classifies heuristics-based optimization methods and the dynamic power management techniques and the study concludes with research issues and future research directions.
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Deep Feature Extraction and Classification of Android Malware Images.
TL;DR: This paper reveals the lightweight solution and much precise option for malware identification and a fine-tuned Convolutional Neural Network is used to automatically extract rich features from visualized malware thus eliminating the feature engineering and domain expert cost.
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Classification and Analysis of Android Malware Images Using Feature Fusion Technique
TL;DR: In this article, a visualization and machine learning-based framework for classifying Android malware is proposed, which transforms Android malware into fifteen different image sections and identifies malware files by exploiting handcrafted features associated with Android malware images.
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Using Latent Semantic Analysis to Identify Research Trends in OpenStreetMap
TL;DR: Five core research areas and fifty research trends were identified in OSM and potential future research directions have been provided to aid geospatial information scientists, technologists and researchers in undertaking future OSM research.