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    • Division of Electrical, Electronics, and Computer Science (EECS)
    • Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
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    • Division of Electrical, Electronics, and Computer Science (EECS)
    • Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title
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    Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Title

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    Now showing items 807-826 of 1322

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      • Multimodal sleep staging and diagnosis of sleep disorders 

        Jain, Ritika
        Sleep is not a single uniform state, but rather a cyclical pattern involving multiple stages such as rapid eye movement (REM) and non-REM (NREM stages N1, N2, and N3). Polysomnography (PSG) is considered as the gold standard ...
      • The Multiprocessor Scheduling Of Periodic And Sporadic Hard Realtime Systems 

        Reddy, Vikrama (2013-10-04)
        Real time systems have been a major area of study for many years. Advancements in electronics, computers, information technology and digital networks are fueling major changes in the area of real time systems. In this ...
      • Multisource Subnetwork Level Transfer in Deep CNNs Using Bank of Weight Filters 

        Kirthi, Suresh K
        The convolutional neural networks (CNNs) have become the most successful models for many pattern recognition problems in the areas of computer vision, speech, text and others. One concern about CNNs has always been their ...
      • A Multiview Extension Of The ICP Algorithm 

        Pooja, A (2011-07-12)
        The Iterative Closest Point (ICP) algorithm has been an extremely popular method for 3D points or surface registration. Given two point sets, it simultaneously solves for correspondences and estimates the motion between ...
      • Multiview Face Detection And Free Form Face Recognition For Surveillance 

        Anoop, K R (2014-10-15)
        The problem of face detection and recognition within a given database has become one of the important problems in computer vision. A simple approach for Face Detection in video is to run a learning based face detector every ...
      • Multiview Registration Using Rank-Constrained Semide nite Programming 

        Ahmed, Miraj S K
        We consider the problem of reconstructing a 3D surface from its multiview scans. Typically, the computational pipeline for this problem has two phases: (I) finding point-to-point correspondences between overlapping scans, ...
      • Music And Speech Analysis Using The 'Bach' Scale Filter-Bank 

        Ananthakrishnan, G (2009-08-13)
        The aim of this thesis is to define a perceptual scale for the ‘Time-Frequency’ analysis of music signals. The equal tempered ‘Bach ’ scale is a suitable scale, since it covers most of the genres of music and the error is ...
      • N-Radical Injection For Augmenting The Nox Removal In Diesel Engine Exhaust By Electric Discharges 

        Sushma, B R (2011-10-17)
      • A Nash Bargaining Based Bid Optimizer for Sponsored Search Auctions 

        Kannan, Ramakrishnan
        The on-line advertising market involving displaying of Ads against search results by a search engine is growing at a fast rate. A majority of the search engine companies sell their advertising space through auctions which ...
      • Nature-inspired Algorithms for Automated Deployment of Outdoor IoT Networks 

        Rathod, Nihesh
        A vast majority of the Internet of Things (IoT) devices will be connected in a topology where the edge-devices push data to a local gateway, which forwards the data to a cloud for further processing. In sizeable outdoor ...
      • Near-Duplicate Detection Using Instance Level Constraints 

        Patel, Vishal (2011-08-09)
        For the task of near-duplicate document detection, comparison approaches based on bag-of-words used in information retrieval community are not sufficiently accurate. This work presents novel approach when instance-level ...
      • Network Centrality Measures And Their Applications 

        Sudarshan, S R (2014-03-03)
        Study of complex networks by researchers from many disciplines has provided penetrating insights on various complex systems. A study of the world wide web from a network theoretic perspective has led to the design of new ...
      • Network Coding for Wirless Relaying and Wireline Networks 

        Vijayvaradharaj, T M (2017-12-10)
        Network coding has emerged as an attractive alternative to routing because of the through put improvement it provides by reducing the number of channel uses. In a wireless scenario, in addition, further improvement can be ...
      • A Networked Control Systems Framework for Smart Grids with Integrated Communication 

        Sivaranjani, S (2018-02-28)
        Over the last decade, power systems have evolved dramatically around the world, owing to higher demand, stringent requirements on quality and environmental concerns that are becoming increasingly critical. With the ...
      • Neural Approaches for Natural Language Query Answering over Source Code 

        Mandal, Madhurima
        During software development, developers need to ensure that the developed code is bug-free and the best coding practices are followed during the code development process. To guarantee this, the developers require answers ...
      • Neural Architectures For Active Contour Modelling And For Pulse-Encoded Shape Recognition 

        Rishikesh, N (2014-09-12)
        An innate desire of many vision researchers IS to unravel the mystery of human visual perception Such an endeavor, even ~f it were not wholly successful, is expected to yield byproducts of considerable significance to ...
      • Neural Models for Personalized Recommendation Systems with External Information 

        Vijaikumar, M
        Personalized recommendation systems use the data generated by user-item interactions (for example, in the form of ratings) to predict different users interests in available items and recommend a set of items or products ...
      • Neural Representation Learning for Speech and Audio Signals 

        Agrawal, Purvi
        Representation learning is the branch of machine learning consisting of techniques that are capable of automatically discovering meaningful representations from raw data for efficient information extraction. In recent ...
      • Neuromorphic Silicon Retinas: Analog and Digital Models 

        Philip, Prince
        Silicon retinas are artificial retinal devices designed to replicate the functionality of the biological retina using silicon-based technologies. These retinas aim to address visual impairment by capturing and processing ...
      • Neuromorphic Vision: Asynchronous and Sparse Processing of Event Camera Data 

        Annamalai, Lakshmi
        Modern systems, including edge computing, autonomous vehicles and robotics, face constraints, such as limited processing power and restricted battery energy, making computational efficiency a critical bottleneck for their ...

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