Browsing Article by Subject "Deep learning"

Browsing Article by Subject "Deep learning"

Sort by: Order: Results:

  • Cluttered TextSpotter: An End-to-End Trainable Light-Weight Scene Text Spotter for Cluttered Environment 
    Bagi, R.; Dutta, T.; Gupta, H.P. (Institute of Electrical and Electronics Engineers Inc., 2020)
    Scene text spotting aims at simultaneously localizing and recognizing text instances, symbols, and logos in natural scene images. Scene text detection and recognition approaches have received immense attention in computer ...
  • A Comprehensive Review of Condition Based Prognostic Maintenance (CBPM) for Induction Motor 
    Kumar, Sanjay; Mukherjee, Debottam; Guchhait, Pabitra Kumar; Banerjee, Ramashis; Srivastava, Ankit Kumar; Vishwakarma, D.N.; Saket, R.K (Institute of Electrical and Electronics Engineers Inc., 2019-07-24)
    This paper presents condition monitoring aspects of induction motor, its present status with possible mitigation schemes and future maintenance challenges. The induction motors constitute the major portion of motors in ...
  • Deep learning-based identification of false data injection attacks on modern smart grids 
    Mukherjee, Debottam; Chakraborty, Samrat; Abdelaziz, Almoataz Y.; El-Shahat, Adel (Elsevier Ltd, 2022-11)
    With the rapid adoption of renewables within the conventional power grid, the need of real-time monitoring is inevitable. State estimation algorithms play a significant role in defining the current operating scenario of ...
  • Early diagnosis of lung cancer using magnetic nanoparticles-integrated systems 
    Rastogi, Ayushi; Yadav, Kanchan; Mishra, Archana; Singh, Manu Smriti; Chaudhary, Shilpi; Manohar, Rajiv; Parmar, Avanish Singh (De Gruyter Open Ltd, 2022-01-01)
    Lung cancer (LC) has high morbidity and fatality rate that can be attributed to its poor diagnostic and monitoring facilities. Hence, there is a need to design advanced detection and monitoring systems to facilitate fast, ...
  • HASVRec: A modularized Hierarchical Attention-based Scholarly Venue Recommender system 
    Pradhan, T.; Gupta, A.; Pal, S. (Elsevier B.V., 2020-09-27)
    Manually selecting appropriate scholarly venues is becoming a tedious and time-consuming task for researchers due to many reasons that include relevance, scientific impact, and research visibility. Sometimes, high-quality ...
  • Index Modulation Multiple Access via Deep Learning based Detection 
    Dhanke, S.S.; Sharma, S.; Kumar, A.; Mandloi, M. (Institute of Electrical and Electronics Engineers Inc., 2020-09-10)
    In this paper, we propose a downlink index modulation multiple access (IM-MA) system using deep learning (DL) based detection. In the proposed IM-MA, a user transmits information by modulating either active antenna indexes ...
  • Intensity inhomogeneity correction of MRI images using InhomoNet 
    Venkatesh, V.; Sharma, N.; Singh, M. (Elsevier Ltd, 2020-09)
    Intensity inhomogeneity is one of the major artifacts in magnetic resonance imaging (MRI). Bias field present in MRI images alters true pixel value and produces spurious varying pixel intensities. This artifact affects the ...
  • Link prediction techniques, applications, and performance: A survey 
    Kumar, A.; Singh, S.S.; Singh, K.; Biswas, B. (Elsevier B.V., 2020-09-01)
    Link prediction finds missing links (in static networks) or predicts the likelihood of future links (in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; Barabasi and Albert, 1999; ...
  • T-MAN: a neural ensemble approach for person re-identification using spatio-temporal information 
    Tagore, N.K.; Chattopadhyay, P.; Wang, L. (Springer, 2020-10-01)
    Person re-identification plays a central role in tracking and monitoring crowd movement in public places, and hence it serves as an important means for providing public security in video surveillance application sites. The ...

Search in IDR


Advanced Search

Browse

My Account