01. Faculty of Engineering and Technology: Recent submissions

  • 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. ...
  • Analysis of the issue of Ant being stuck in the cycle by Ant Colony System Algorithm & Solution 
    Varia, Dhaval; Kothari, A. (Multidisciplinary International Research Journal of Gujarat Technological University, 2021-01)
    At the point when the size of the shortest path discovering problem increment, the intricacy of the issue increments. In such a situation, the best possibility to take care of this sort of issue is meta-heuristic ...
  • Hybrid and blind watermarking scheme in DCuT – RDWT domain 
    Thanki, Rohit; Kothari, Ashish; Trivedi, Deven (Journal of Information Security and Applications, Elsevier, 2019-06)
    In this paper, a hybrid and blind watermarking scheme is proposed for the protection of copyright of digital images. The scheme based on hybridization of two advance transforms such that discrete curvelet transform (DCuT) ...
  • SVD Based Performance Improvement in Hiding a Message Behind an Image 
    Raviya, Kaushik; Vyas, Ved; Kothari, Ashish (International Journal of Advanced Trends in Computer Science and Engineering, 2019-04)
    The paper describes an effective method to embed grayscale images or watermarks in the original cover images. To do so, we used a famous linear algebra technique called Singular Value Decomposition. To carry out the ...
  • Hybrid, blind and robust image watermarking: RDWT – NSCT based secure approach for telemedicine applications 
    Thanki, Rohit; Kothari, Ashish; Borra, Surekha (Multimedia Tools and Applications, Springer, 2021-05)
    Images frequently are helpless to burglary and copyright encroachment. There are numerous events where pictures were illegally copied from websites for utilization or monetary profit and were gotten away from equity, ...
  • Zoom based image super-resolution using DCT with LBP as characteristic model 
    Doshi, Meera; Gajjar, Prakash; Kothari, Ashish (Journal of King Saud University-Computer and Information Sciences ,Elsevier, 2022)
    The prime intention of super-resolution (SR) technique is to restore the high-resolution images from one or more low-resolution (LR) images. These images are captured from the same scene with different acquisition systems ...
  • Performance Evaluation of Crowd Analysis Algorithm using Modified GMM and Adaptive Thresholding 
    Ghedia, Navneet; Vithalani, C.; Kothari, Ashish (Indian Journal of Science and Technology, 2017-05)
    To evaluate the crowd densities in video scene under different constraints. For the crowded video analysis robust foreground detection methods are required to differentiate between moving or static foreground objects and ...

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