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      • 2D Piezotronics: Performance to Functionality 

        Yarajena, Sai Saraswathi
        In the pursuit of interactive electronic devices, there is a need for smart materials which can serve multiple functionalities. 2D (two-dimensional) layered materials have gained attention in semiconductor technology because ...
      • 3D Packaging for Integration of Heterogeneous Systems 

        Nittala, Pavani Vamsi Krishna
        With several new applications getting developed around wearable technologies for Internet of Things (IoT), there has been a growing need for development of the miniaturized systems. Emerging applications in healthcare, ...
      • 4D Printing of Polymer Composites to Engineer Resorbable and Deployable Implants 

        Choudhury, Saswat
        Medical implants include products that are used to replace or restore the function of any damaged organ or tissue inside the body. The current generation of implants are mostly made from non-degradable materials and are ...
      • Absorptive Capacity, Cluster Level Interactions, Innovation and Performance of Firms in the High-tech Manufacturing Cluster of Bengaluru 

        Deepak, C
        Researchers have identified absorptive capacity, which is a measure of dynamic capability of a firm, as one of the critical factors that drives interactions of a firm with other firms and associated institutions within and ...
      • Abstractions and Optimizations for Data-driven Applications Across Edge and Cloud 

        Khochare, Aakash
        Modern data driven applications have a novel set of requirements. Advances in deep neural networks (DNN) and computer vision (CV) algorithms have made it feasible to extract meaningful insights from large-scale deployments ...
      • Accelerated and Accurate Alignment of Short Reads in High Throughput Next Generation Sequencing [NGS] Platforms 

        Natarajan, Santhi
        The genome of an organism encompasses the unique set of genetic instructions for every individual in a species. The genome, in totality, guides the course of evolution, development, genetic and epigenetic growth factors ...
      • Accelerating Estimation of Perfusion Maps in Contrast X-ray Computed Tomography using Many-core CPUs and GPUs 

        Wankhede, Rahul
        X-ray Computed Tomography (CT) perfusion imaging is a non-invasive medical imaging modality that has been established as a fast and economical method for diagnosing cerebrovascular diseases such as acute ischemia, sub-arachnoid ...
      • An Accelerator for Machine Learning Based Classifiers 

        Mohammadi, Mahnaz
        Artificial Neural Networks (ANNs) are algorithmic techniques that simulate biological neural systems. Typical realization of ANNs are software solutions using High Level Languages (HLLs) such as C, C++, etc. Such solutions ...
      • Acoustic Source Localization Using Time Delay Estimation 

        Tellakula, Ashok Kumar (2009-08-19)
        The angular location of an acoustic source can be estimated by measuring an acoustic direction of incidence based solely on the noise produced by the source. Methods for determining the direction of incidence based on sound ...
      • Activity-travel behavior modeling of pilgrims in mass religious gatherings 

        Khandelwal, Tarun
        The number of participants in mass gatherings like Kumbh Mela is ever increasing. Simulations for pre-event crowd modeling, risk assessment, and control planning can help set up robust crowd management and control mechanisms. ...
      • Adaptive and Optimal Control based Artificial Pancreas for Type-1 Diabetes Mellitus Patients 

        Chandrasekhar, Abishek
        This research focuses on the development of adaptive and optimal control algorithms and their implementation to develop Artificial Pancreas (AP) systems for glucose regulation in Type-1 Diabetes Mellitus (T1DM) patients. ...
      • Adaptive charging techniques for Li-ion battery using Reinforcement Learning 

        Tunuguntla, Surya Teja
        Li-ion batteries have become a promising technology in recent years and are used everywhere from low-end devices like mobile phones to high-end ones like electric vehicles. In most applications, the discharge of a battery ...
      • Adaptive Fault Tolerance Strategies for Large Scale Systems 

        George, Cijo (2018-03-07)
        Exascale systems of the future are predicted to have mean time between node failures (MTBF) of less than one hour. At such low MTBF, the number of processors available for execution of a long running application can widely ...
      • Adaptive Grid Meta Scheduling - A QoS Perspective 

        Nainwal, Kalash Chandra (2011-09-06)
      • Advanced Architectures for Cascaded Raman Fiber Lasers 

        Deheri, Rashmita
        Fiber lasers have exhibited significant expansion in their diverse applications within the fields of communications, industrial operations, defence, and the medical sector. They require a rare earth doped element as ...
      • Advancements in Microcantilever Sensor Technology: Gas Sensing Application 

        Verma, Hemant Kumar
        Micro and nanoelectromechanical systems (M&NEMS) have great potential in sensor technologies, which are used for detecting mass or gas, measuring force and acceleration, and in applications related to memory storage and ...
      • Advances in Architecturing of Large-Scale Photovoltaics: Packaging and Incidence Angle Agnostic Hierarchical Nanostructures 

        Adiga, Varun
        Encapsulant of Graphene embedded polymer that exhibits low permeability to moisture and oxygen were used as a packaging material for OPVDs. Graphene-Surlyn encapsulated and unencapsulated devices were stored both in ambient ...
      • 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 ...
      • Advances in Microfluidic Impedance Cytometry for Electromechanical Characterization of Cells 

        Mahesh, Karthik
        Single-cell analysis is extremely important for discovering unique characteristics of individual cells, identifying cell populations of interest, and understanding their behaviour during disease conditions. With the advent ...
      • Algorithmic Approaches For Protein-Protein Docking And quarternary Structure Inference 

        Mitra, Pralay (2011-02-14)
        Molecular interaction among proteins drives the cellular processes through the formation of complexes that perform the requisite biochemical function. While some of the complexes are obligate (i.e., they fold together while ...

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