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    Data-efficient Deep Learning Algorithms for Computer Vision Applications 

    Nayak, Gaurav Kumar
    The performance of any deep learning model depends heavily on the quantity and quality of the available training data. The generalization of the trained deep models improves with the availability of a large number of ...

    Design and Analysis of Random Access Protocols for Massive Machine-Type Communications 

    Ramesh, Chirag
    Massive machine-type communications (mMTC) is a 5G and beyond use case, where the network is expected to serve millions of devices per square kilometre. Typical mMTC devices include smart energy meters, pressure sensors, ...

    Fast and Scalable Algorithms for Intelligent Routing of Autonomous Marine Agents 

    Chowdhury, Rohit
    Autonomous marine agents play a pivotal role in diverse ocean applications. These agents serve as indispensable instruments for acquiring crucial environmental information. They are used to explore and monitor harsh ...

    Data-Driven Approach to Estimate WCET for Real-Time Systems 

    Kumar, Vikash
    Estimating Worst-Case Execution Time (WCET) is paramount for developing Real-Time and Em- bedded systems. The operating system’s scheduler uses the estimated WCET to schedule each task of these systems before the assigned ...

    Sequence Alignment to Cyclic Pangenome Graphs 

    Rajput, Jyotshna
    The growing availability of genome sequences of several species, including humans, has created the opportunity to utilize multiple reference genomes for bioinformatics analyses and improve the accuracy of genome resequencing ...

    Intelligent Methods for Cloud Workload Orchestration in Data Centers 

    Saraf, Prathamesh
    Cloud workload orchestration plays a pivotal role in optimizing the performance, resource utilization, and cost effectiveness of applications in data centers. As modern businesses and IT operations are migrating their ...

    Augmenting Hyperspectral Image Unmixing Models Using Spatial Correlation, Spectral Variability, And Sparsity 

    Ahmad, Touseef
    Hyperspectral imaging sensors sample sunlight reflected from different targets on Earth's surface by utilising a series of contiguous narrow spectral channels. The higher spectral resolution of hyperspectral images (HSIs) ...

    Designing Quality of Service aware Serverless Platforms 

    Ramachandra, Sheshadri Kalkunte
    Serverless computing is a widely used Cloud computing service offering that provides users with managed runtimes to develop their business logic as functions. It supports eventdriven execution of functions and a powerful ...
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    Application Service Resilience In Cloud: An End-to-End Perspective 

    Mathews, Dhanya R
    The idea of computing as a utility was realized with the emergence of the cloud computing paradigm. Cloud service providers offer a wide range of services that are delivered over the Internet to cloud service consumers. ...

    Predictive Motion Planning for Safe and Efficient Autonomous Driving 

    Chowdhury, Jayabrata
    The advent of Autonomous Vehicles (AVs) has the potential to revolutionize transportation systems, promising significant improvements in safety, efficiency, and passenger comforts. Safety, the cornerstone of AVs, demands ...
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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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