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    Deep Learning in Computer Vision: Studies in Neuro-image Segmentation and Satellite Image Super-resolution 

    Roy, Shreya
    Single image super-resolution (SR) has been a topic of great interest in the computer vision and deep learning community and has found applications in many areas including quality enhancement of satellite images. As the ...

    Epistasis Detection and Phenotype Prediction in GWAS Using Machine Learning Methods 

    Chaudhary, Diksha
    Genome-wide association studies (GWAS) are used to find the association between genetic variants, Single Nucleotide Polymorphisms (SNPs), and phenotypic traits or diseases in a population. The number of GWAS has increased ...

    Optimizing the Interval-centric Distributed Computing Model for Temporal Graph Algorithms 

    Baranawal, Animesh
    Graphs with temporal characteristics are increasingly becoming prominent. Their vertices, edges and attributes are annotated with a lifespan, allowing one to add or remove vertices and edges. Such graphs can grow to millions ...

    Reconfigurable Accelerator for High Performance Application Kernels 

    Das, Saptarsi
    Accelerating high performance computing (HPC) applications such as dense linear al- gebra solvers, mesh computations, stencil computations requires exploiting parallelism that is resident in loops. Typically these loops ...

    Reliable and Efficient Application Scheduling on Edge, Fog and Cloud 

    Varshney, Prateeksha
    Cloud computing has emerged in the last decade as a popular distributed computing service offered by commercial providers. Public Clouds offer pay-as-you-go access to elastic resources that can be acquired and released ...

    Efficient and Resilient Stream Processing in Distributed Shared Environment 

    Chaturvedi, Shilpa
    Internet of Things (IoT) deployments comprising of sensors and actuators collect observational data and provide continuous streams of data, often called streaming data or fast data. Smart Cities use such IoT technologies ...

    Advances in High Dynamic Range Imaging Using Deep Learning 

    Ram Prabhakar, Kathirvel
    Natural scenes have a wide range of brightness, from dark starry nights to bright sunlit beaches. Our human eyes can perceive such a vast range of illumination through various adaptation techniques, thus allowing us to ...

    Characterization of Divergence resulting from Workload, Memory and Control-Flow behavior in GPGPU Applications 

    Morkhande, Rahul Raj Kumar
    GPGPUs have emerged as high-performance computing platforms and are used for boosting the performance of general non-graphics applications from various scientifi c domains. These applications span varied areas like social ...

    Novel Deep Learning Methods for Improving Low-Dose Computed Tomography Perfusion Imaging of Brain 

    Dutta, Arindam
    Computed Tomography (CT) Perfusion imaging is a non-invasive medical imaging modality that has also established itself as a fast and economical imaging modality for diagnosing cerebrovascular diseases such as acute ischemia, ...

    Migrating VM Workloads to Containers: Issues and Challenges 

    Garg, Surya Kant
    Modern day enterprises are adopting virtualization to leverage the benefits of improved server utilization through workload consolidation. Server consolidation provides this benefit to enterprise applications as many of ...
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    AuthorKumar, Vikash (2)Abhishek, A (1)Addepalli, Sravanti (1)Aggarwal, Surbhi (1)Agrawal, Harish (1)Ahmad, Touseef (1)Alladin, Muttaqi Ahmad (1)Anandh, Thivin (1)Asokan, Siddarth (1)Avasarala, Srikanth (1)... View MoreSubjectTECHNOLOGY (73)Deep Learning (12)Machine Learning (7)Computer Vision (4)Deep learning (3)Deep Neural Networks (3)INTERDISCIPLINARY RESEARCH AREAS (3)Adversarial Robustness (2)Artificial Intelligence (2)Cloud computing (2)... View MoreHas File(s)
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