00. Faculty Publications: Recent submissions

  • Performance Analysis of Carbon Nanotubes as Monopole Antenna 
    Chudasama, Kalpesh (SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, 2020-12)
    In this paper, I explore carbon nanotube (CNT) composites’ use in the monopole antenna structures as an efficient alternative for copper. I explore the use of CNT material for GSM applications. An attempt has been made ...
  • Small Scale Industrial Parameter Monitoring Through Ethernet 
    Bokarvadia, Ashish; Chudasama, Kalpesh (National Conference on Emerging Trends in Computer, Electrical & Electronics (ETCEE-2015) International Journal of Advance Engineering and Research Development (IJAERD), 2022)
    in today’s world networking is important part of industrial automation in monitoring of industrial process Parameters. Embedded Ethernet is nothing but a microcontroller which is able to communicate with the network ...
  • A Novel Feature Based Adaptive Algorithm for Automatic Shot Boundary Detection 
    Patel, Jay; Thakar, Viral (A Novel Feature Based Adaptive Algorithm for Automatic Shot Boundary Detection, 2016-05)
    The video shot boundary detection(SBD) is a region, where many practices and techniques have been suggested and have requested to perform consistently on the videos like talk shows , different sports events & news ...
  • An improvised algorithm for automatic shot segmentation and summarization 
    Patel, Jay; Thakar, Viral (International Research Journal of Engineering and Technology (IRJET), 2016-03)
    The video shot boundary detection (SBD) is a region, where many practices and techniques have been suggested and have requested to perform consistently on the videos like talk shows, different sports events & news ...
  • An Augmented Clustering Hierarchy for LEACH – Energy Efficient WSN Protocol 
    Thakar, Viral; Patel, jay; Nathani, Vipul (International Journal of Scientific Engineering and Applied Science (IJSEAS), 2015-06)
    With technological revolution in the field of MEMs and Embedded Systems, Wireless Sensors Networks has emerged as one of the prime research field in the recent years. In past few years many researchers have continuously ...
  • Deep Learning for Medical Image Super-Resolution for Precision Diagnosis 
    Baraiya, Mehul; kothari, Ashish (Journal of Data Acquisition and processing, 2023)
    A study on deep learning for medical image super-resolution (MISR) and its prospective applications in medical imaging are presented in this research report. We investigate and evaluate the performance of two distinct ...
  • Soil Moisture Prediction using Deep Neural Network Approach. 
    Modha, Hiren; Kothari, Ashish (NeuroQuantology, 2022-07)
    Soil moisture content is the most significant element in fit farming output and circulation of water, and its accurate forecast is critical regarding water resource management. Mostly soil moisture is complicated through ...
  • Road Network Extraction Methods from Remote Sensing Images: A Review Paper 
    Patel, Miral; Kothari, Ashish (International Journal of Next-Generation Computing, 2022-07)
    Remote Sensing images are consists of photographs of Earth or other planets captured by means of satellites, heli copter, rocket, drone etc.. The quality of remote sensing images depends on sensor, camera used to capture ...
  • Color Image Watermarking in Encryption Domain 
    Thanki, Rohit; Kothari, Ashish (Communications in Computer and Information Science, vol 1235. Springer, 2020)
    Image watermarking is one of the techniques used for copyright protection of digital images. In this paper, copyright protection of color images using watermarking is presented with the help of data encryption. The main ...
  • Architecture For Air Pollution Aware Vehicle Rerouting in Smart Cities Using Machine Learning & Ant Colony Algorithm 
    Varia, Dhaval; Kothari, A.; Rathod, Dushyant (Studies in Indian Places Names (UGC Care Journal), 2020)
    In this paper, the layered design to investigations and interesting route arranging dependent on the basic parameter Air Pollution is proposed. Different ways have been proposed for limiting the criticality of Air Pollution ...
  • A Mixture of DWT-DCT based Digital Watermarking Algorithm against various Attacks and its Application 
    Raviya, Kaushik; Vyas, Ved; Kothari, Ashish (International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2019-06)
    The present paper focuses on the mixture of Discrete Wavelet Transform and Discrete Cosine Transform used in the purpose of Digital Image Watermarking. People nowadays need Digital media as an alternate of paper ...
  • Hybrid domain watermarking technique for copyright protection of images using speech watermarks 
    Thanki, Rohit; Kothari, Ashish (Journal of Ambient Intelligence and Humanized Computing , Springer., 2019-04)
    When digital images are shared over an open access network such as the internet, facebook, WhatsApp, and other social media, then the security of these images are required. The digital watermarking is one approach for ...
  • Multi-level security of medical images based on encryption and watermarking for telemedicine applications 
    Thanki, Rohit; Kothari, Ashish (Multimedia Tools and Applications, Springer, 2020-09)
    In this paper, a robust and hybrid domain watermarking scheme is proposed for the security of medical images in telemedicine applications. The secret identity of the patient is inserting into the cover medical image using ...
  • Fragile Watermarking Framework for Tamper Detection of Color Biometric Images 
    Thanki, Rohit; Borra, Surekha; Kothari, Ashish (International Journal of Digital Crime and Forensics, 2021-04)
    Application of fragile watermarking on biometric images stored at a server or cloud ensures proper authentication and tamper detection when access to the servers was shared. In this paper, a hybrid domain fragile ...
  • Real Time Depth Hole Filling using Kinect Sensor and Depth Extract from Stereo Images 
    Raviya, Kapil; Vyas, Ved; Kothari, Ashish; Gohil, Gunvantsinh (Oriental Journal of Computer Science and Technology, 2019)
    The researcher have suggested real time depth based on frequency domain hole filling. It get better quality of depth sequence generated by sensor. This method is capable to produce high feature depth video which can ...
  • Comparative Survey of Face Recognition Techniques 
    Solanki, Dhavalsinh; Kothari, Ashish (2015)
    Face recognition has been a fast emergent and exciting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions. In this paper ...
  • Analysis of Single Frame Super Resolution Methods 
    Raval, Hardik; Kothari, Ashish (International Journal Of Engineering And Computer Science, 2014-11)
    The quality of Image is measured in terms of Resolution. The image clarity can be measured by Resolution. Better resolution can be generated by use of Good Sensors, but it can be very expensive .Instead of that we can ...
  • Implementation of Foreground Detection Algorithm Using Modified GMM for Outdoor Surveillance 
    Ghedia, Navneet; Vithalani, C.; Kothari, Ashish (GIS Science Journal, 2020-10)
    Visual Monitoring System is the peak level research topic in Today’s era. Visual observation in computer vision helps to analyze object’s activities easily. Today’s era of computer vision will completely remove traditional ...
  • Critical Comparative Analysis of Object Detection and Tracking Algorithms 
    Ghedia, Navneet; Vithalani, C.; Kothari, Ashish (AEGAEUM Journal, 2020)
    In present days, Lively Environment considerations has nailed down towards an immense contract as a part of Visual Surveillance Systems. Its expansion tends towards extensive research scaling functioning as admittance ...
  • A comprehensive Survey: Background Estimation and Motion Detection Approaches 
    Ghedia, Navneet; Vithalani, C.; Kothari, Ashish (GIS Science Journal, 2020)
    Visual Monitoring System requires efficient estimation of the background, background modelling and accurate motion detection. Background subtraction is the simplest approach to classify the background and foreground. ...

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