DSpace Repository

01. Journal Articles

01. Journal Articles

 

Recent Submissions

  • A Survey of power allocation techniques in NOMA: Research challenges and Future directions 
    Dave, Krupa; Kothari, Ashish M. (Computer Integrated Manufacturing Systems, 2022)
    Non-orthogonal multiple access, often known as NOMA, is one of the viable ways to big capacity radio access. It provides a number of desired features, including better spectrum efficiency, making it an appealing choice. ...
  • Crop Diseases Severity Identification by Deep Learning Approach 
    Modha, Hiren J.; Kothari, Ashish M. (ADBU-Journal of Engineering Technology, 2022-06)
    Improving yield and maintaining crop strength with optimization in use of resources are the major requirements in smart farming. To build a smart decision support system for improving production with flexibility, it ...
  • Soil Moisture Prediction using Deep Neural Network Approach 
    Modha, Hiren J.; Kothari, Ashish M. (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 ...
  • Noma Design In The Sixth Generation: A New Frontier 
    Dave, Krupa; Kothari, Ashish (Journal Of Northeastern University, 2022)
    The communication industry is making rapid strides toward the implementation of 5G and beyond 5G (B5G) wireless technology. New applications are being developed in order to fulfil the ever-increasing demand for faster data ...
  • Deep Learning For Medical Image Super-Resolution For Precision Diagnosis 
    Baraiya, Mehul M.; Kothari, Ashish M. (Journal of Data Acquisition and Processing, 2023-01)
    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 ...
  • A Novel Approach For Semantic Segmentation Of Automatic Road Network Extractions From Remote Sensing Images By Modified UNet 
    Patel, Miral J; Kothari, Ashish M.; Koringa, Hasmukh P. (Radioelectronic and Computer Systems, 2022)
    Accurate and up-to-date road maps are crucial for numerous applications such as urban planning, automatic vehicle navigation systems, and traffic monitoring systems. However, even in the high resolutions remote sensing images, ...
  • Deep Learning-Enabled Road Segmentation and Edge-Centerline Extraction from High-Resolution Remote Sensing Images 
    Patel, Miral J.; Kothari, Ashish M. (International Journal of Image and Graphics, 2022-08-22)
    Nowadays, precise and up-to-date maps of road are of great signi¯cance in an extensive series of applications. However, it automatically extracts the road surfaces from high-resolution remote sensed images which will ...
  • Road Network Extraction Methods from Remote Sensing Images: A Review Paper 
    Patel, Miral J; 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, helicopter, rocket, drone etc.. The quality of remote sensing images depends on sensor, camera used to capture ...
  • Performance Evaluation of DCSS using Two Level 1-Bit Hard Decision Strategies over TWDP Fading Channel 
    Dobaria, Ankit D.; Vora, Vishal S. (International Journal of Electrical and Electronics Research (IJEER), 2022-11-30)
    The spectrum sensing method's dependability is greatly influenced by two of the most crucial factors, including various fading channels and nearby wireless users. Multipath fading, buried terminals, and shadowing are just ...
  • APPLICATION OF MACHINE LEARNING IN IMAGE ANALYSIS 
    Baraiya, Mehul M.; Kothari, shish M. (International Journal of Engineering& Scientific Research, 2022-04)
    Without any human assistance at any stage of the image order process, image acknowledgment is a crucial component of image handling for machine learning. A large number of pictures of both cats and dogs are taken, and ...