Now showing items 81-100 of 820

    • Sensors-based prediction of plant diseases using neural network 

      Kumar, Manish (2020)
      Plant diseases could cause a loss to agricultural production and the economy; hence there is a need to develop prediction models for fast plant disease detection and assessment methods. These methods must not affect plant ...
    • Performance and power modeling on disparate computer systems using machine learning 

      Kumar, Rajat (2020)
      Performance and Power prediction is an active area of research due to its applications in the advancements of hardware-software co-development. We have performed experiments to evaluate the performance of several machine ...
    • Device modelling and circuit designing using prominent neural network 

      Diksha (2020)
      VLSI system is aggregation of millions of active and passive elements. Determination of different parameters of active elements and accurate value of passive elements for desired output characteristic is undoubtedly a ...
    • Structural properties of realization graphs 

      Sapara, Dhara (2020)
      All graphs considered in this thesis are simple undirected graphs with finite, nonempty vertex sets. Degree sequence is one of the simplest terms associated with a graph. However, most graph families are not degree determined. ...
    • DOOH automation 

      Shivhare, Adarsh (2020)
      Out-of-home (OOH) advertising or outdoor advertising, also known as out-ofhome media or outdoor media, is advertising that reaches the consumers while they are outside their homes. The Out-of-Home (OOH) has evolved into ...
    • Wind turbine power generation monitoring system along with predictive maintenance to identify the mean breakage time 

      Swarnlata, Ch (2020)
      The wind turbine monitoring system is associated with electrical and control system failures through innovatively applying modern technologies like intelligent sensors, data acquisition along with the existing technologies ...
    • Design and Implementation of 3-stage Low Power Interrupt Driven Processor using RISC-V ISA 

      Kosta, Ankur (2020)
      The hardware-software interface, incorporated in the Instruction set architecture (ISA), is arguably the most crucial interface in the computer system. An open ISA standard can help in increasing the innovation in ...
    • Lending loan originating & loan management system 

      Singh, Praveen Kumar (2020)
      Lending is used to automate the Loan System.The project is forwww.magma.co.in which is client of Kuliza Technologies. Lend.ln is a low-code lending suite that provides an end-to-end lending solution to banks and credit ...
    • Recognic console 

      Mehta, Kavisha (2020)
      Users leave behind a large amount of data in digital footprints across different channels of engagement & consumption of products & services. Enterprises & governments are investing to adopt technology for efficiently ...
    • Forest stand height estimation using inversion of RVoG model over forest of north-eastern India 

      Mungalpara, Ankita (2020)
      In recent years, multiple studies have been carried out to estimate forest height using Synthetic Aperture Radar (SAR) remote sensing techniques. The forest height is an essential forest resource parameter that is usually ...
    • Development of surface soil moisture (SSM) retrieval algorithm using multi-temporal sentinel-1 C band SAR data 

      Chhablani, Reena (2020)
      Soil Moisture is a crucial component for farmers, disaster management units, and meteorologists. Here, I present an algorithm to estimate surface soil moisture (SSM) from ESA’s Sentinel-1 satellite-carrying C-band SAR(CSAR) ...
    • Replay spoof detection on voice assistants and automatic speaker verification systems 

      Acharya, Rajul (2020)
      Automatic Speaker Verification (ASV) systems and Voice Assistants (VAs) are highly vulnerable to the spoofing attacks. Spoofing refers to an intentional circumvention wherein an imposter tries to manipulate a biometric ...
    • VIU content access layer intelligent & flexible content selection 

      Marakana, Meet (2020)
      For OTT media streaming products like VIU, it is really important to increase the consumption of media content as much as possible. To get the highest benefit, the user must stay on the platform and consume numerous content. ...
    • Driving behaviour monitoring solution 

      Chourasia, Ruchi (2020)
      AssetTrackr as a whole provides different kinds of Vehicle tracking solutions to the Fleet Management companies in real-time using GPS and other peripheral devices to capture data from the vehicle. The AssetTrackr web ...
    • Bag of words (BoW) generation from given features for optimizing feature matching in V-SLAM application 

      Varshney, Kratika (2020)
      The project aims at generation of Bag of words from given features for optimizing feature matching in V-SLAM application. Simultaneous localization and mapping (SLAM) is the process where an ego vehicle builds a global map ...
    • DOOH automation 

      Methaniya, Dhruvkumar Bharatkumar (2020)
      Rishabh software provides Digital and Paper Advertisement solutions in various countries.Rishabh Software develops one Web application using that any company is able to advertise their product or Brands in various place.Before ...
    • Kernel methods for data analysis 

      Dave, Rishi (2020)
      Linear learning machines like perceptrons, support vector machines are potent machines for pattern recognition tasks. They generate hyperplane to separate classes. There are many such real-life problems where such linear ...
    • Redactable blockchain and chameleon hash function characterization 

      Vaghani, Shruti (2020)
      Redactable Blockchain – a framework that helps to rewriting or compress the data of blocks in blockchain technology. There are several reasons to use Redactable Blockchain, a necessity to edit or remove the relevant content ...
    • Optimization techniques for deep neural networks 

      Bhaisaheb, Shabbirhussain Hamid (2020)
      Optimization techniques are used to make the neural networks to converge to an optimal solution. Different techniques such as gradient-based approaches are utilized to obtain the parametric solution having objective function ...
    • Counting number of minimum spanning trees 

      Sompura, Jigar (2020)
      The problem discussed in this thesis is "To find all k instances for given n, where 1 k nn��2, n is number of vertices and k is number of minimum weight spanning trees by any weight assignments to the edges of a complete ...