Browsing Department of Computer Science and Engineering by Title

Browsing Department of Computer Science and Engineering by Title

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  • Cattle Recognition: A New Frontier in Visual Animal Biometrics Research 
    Kumar, S.; Singh, S.K. (Springer, 2020-10-01)
    Visual animal biometrics is an emerging research field of computer vision, pattern recognition, and cognitive science. Recently, cattle recognition has played a significant role in understanding, controlling and the outbreak ...
  • Clus-DR: Cluster-based pre-trained model for diverse recommendation generation 
    Yadav, Naina; Pal, Sukomal; Singh, Anil Kumar; Singh, Kartikey (King Saud bin Abdulaziz University, 2022-09)
    Recommender Systems are a predictive model for personalized suggestions utilizing past interactions and experiences. Collaborative filtering is the most popular and successful approach. The core idea behind this approach ...
  • 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 cognitive model to predict human interest in smart environments 
    Ahmed, T.; Singh, R.; Pandey, A.K.; Singh, S.K. (Elsevier B.V., 2020-09-01)
    Recently, the idea of smart cities has made several strides forward in literature. Work has hypothesize that the combination of Artificial Intelligence, Cloud Computing, and High powered computers will make technology more ...
  • A Comparison Among ARIMA, BP-NN, and MOGA-NN for Software Clone Evolution Prediction 
    JAYADEEP PATI; KUMAR, BABLOO; MANJHI, DEVESH; SHUKLA, K K (Institute of Electrical and Electronics Engineers Inc., 2017-04-27)
    Software evolution continues throughout the life cycle of the software. During the evolution of software system, it has been observed that the developers have a tendency to copy the modules completely or partially and ...
  • Comprehensive review of hyperspectral image compression algorithms 
    Dua, Y.; Kumar, V.; Singh, R.S. (SPIE, 2020-09-01)
    Rapid advancement in the development of hyperspectral image analysis techniques has led to specialized hyperspectral missions. It results in the bulk transmission of hyperspectral images from sensors to analysis centers ...
  • Criticality and Utility-Aware Fog Computing System for Remote Health Monitoring 
    Singh, Moirangthem Biken; Taunk, Navneet; Mall, Naveen Kumar; Pratap, Ajay (Institute of Electrical and Electronics Engineers Inc., 2022)
    Growing remote health system allows continuous monitoring of patients' conditions outside medical facilities. However, the real-time smart-healthcare applications having latency limitations, must be solved efficiently. Fog ...
  • Criticality and Utility-Aware Fog Computing System for Remote Health Monitoring 
    Singh, Moirangthem Biken; Taunk, Navneet; Mall, Naveen Kumar; Pratap, Ajay (Institute of Electrical and Electronics Engineers Inc., 2023-05-01)
    Growing remote health system allows continuous monitoring of patients' conditions outside medical facilities. However, the real-time smart-healthcare applications having latency limitations, must be solved efficiently. Fog ...
  • Dependency Prediction of Long-Time Resource Uses in HPC Environment 
    Upadhyay, Navin Mani; Singh, Ravi Shankar; Dwivedi, Shri Prakash (Institute of Electrical and Electronics Engineers Inc., 2023-12-08)
    High-Performance computing provides a new infrastructure for scientific calculation and its simulation. However, unbalanced load distribution among the processors causes a decreased performance in such computations, and ...
  • Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation 
    Mishra, Rahul; Gupta, Hari Prabhat (Institute of Electrical and Electronics Engineers Inc., 2023-07-19)
    Automated feature extraction capability and significant performance of Deep Neural Networks (DNN) make them suitable for Internet of Things (IoT) applications. However, deploying DNN on edge devices becomes prohibitive due ...
  • Effect of stopwords in Indian language IR 
    Sahu, S S; Pal, S (Springer, 2022-01-10)
    We explore and evaluate the effect of stopwords in retrieval performance of different Indian languages such as Marathi, Bengali, Gujarati and Sanskrit. The issue was investigated from three viewpoints. Is there any impact ...
  • An effective scheme for memory congestion reduction in multi-core environment 
    Upadhyay, N.M.; Singh, R.S. (King Saud bin Abdulaziz University, 2020-05-11)
    In modern NUMA systems, increasing number of cores lead to a heavy congestion on shared caches and memory controllers. Therefore, in this paper, we propose a method (RCLB) which is capable of reducing the memory congestion ...
  • Efficient protocols for private wildcards pattern matching 
    Saha, Tushar Kanti; Rathee, Deevashwer; Koshiba, Takeshi (Elsevier Ltd, 2020-12)
    A wildcard character in a pattern adds an additional feature in the field of pattern matching. In this paper, we consider two problems of secure pattern matching (SPM) with wildcards: (i) SPM with repetitive wildcards ...
  • Energy efficient voltage scheduling for multi-core processors with software controlled dynamic voltage scaling 
    Mishra, Abhishek; Tripathi, Anil Kumar (Elsevier Inc., 2014-01-04)
    Energy efficient voltage scheduling for multi-core processors is an important issue in the context of parallel and distributed computing. Dynamic voltage scaling (DVS) is used to reduce the energy consumption of cores. ...
  • Estimation of Time Duration for Using the Allocated LoRa Spreading Factor: A Game-Theory Approach 
    Kumari, P.; Gupta, H.P.; Dutta, T. (Institute of Electrical and Electronics Engineers Inc., 2020-10)
    Long Range (LoRa) is one of the most promising wireless communication technology because it allows for long-range communication with low power consumption. The interference problem in LoRa occurs when nodes are attached ...
  • Extended Fault Taxonomy of SOA-Based Systems 
    Bhandari, Guru Prasad; Gupta, Ratneshwer (University of Zagreb, 2017-12)
    Service Oriented Architecture (SOA) is considered as a standard for enterprise software development. The main characteristics of SOA are dynamic discovery and composition of software services in a heterogeneous environment. ...
  • A Fast, Multi-Camera, and Intelligent System for Exact Stampede Detection in Large Crowds 
    Nigam, Nitika; Dutta, Tanima (Association for Computing Machinery, Inc, 2022-11)
    With the increasing population, events with large crowds also increased. It often leads to uncontrolled stampede situations, causing several deaths. Deployment of intelligent systems with the quick alert feature may reduce ...
  • A Game-Theoretic Approach for Increasing Resource Utilization in Edge Computing Enabled Internet of Things 
    Kumar, Sumit; Gupta, Ruchir; Lakshmanan K.; Maurya, Vipin (Institute of Electrical and Electronics Engineers Inc., 2022)
    Edge computing is a new paradigm that reduces latency and saves bandwidth by deploying edge servers in different geographic locations. This technology plays a crucial role in the rapidly growing app market for IoT devices ...
  • Gene expression profiling of spontaneously occurring canine mammary tumours: Insight into gene networks and pathways linked to cancer pathogenesis 
    Hussain, Shahid; Saxena, Sonal; Shrivastava, Sameer; Mohanty, Ashok Kumar; Kumar, Sudarshan; Singh, Rajkumar James; Kumar, Abhinav; Wani, Sajad Ahmad; Gandham, Ravi Kumar; Kumar, Naveen; Sharma, Anil Kumar; Tiwari, Ashok Kumar; Singh, Raj Kumar (Public Library of Science, 2018-12-05)
    Spontaneously occurring canine mammary tumours (CMTs) are the most common neoplasms of unspayed female dogs leading to thrice higher mortality rates than human breast cancer. These are also attractive models for human ...
  • A generative modelling technique for 3D reconstruction from a single 2D image 
    Singh, S.K.; Tanna, S. (Institute of Electrical and Electronics Engineers Inc., 2020-09-12)
    3D Object Reconstruction is the task of predicting the 3D model of an object given a set of 2D images. In this paper, we propose an approach to solving this problem, given a single 2D image. We attempt to make use of several ...

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