Browsing Department of Computer Science and Engineering by Title

Browsing Department of Computer Science and Engineering by Title

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  • Adaptive Capacity Partitioning in Cooperative Computing to Maximize Received Resources 
    SINGHA, NITIN; SINGH, YATINDRA NATH; GUPTA, RUCHIR (Institute of Electrical and Electronics Engineers Inc., 2019-07-03)
    Users in a cooperative computing environment always have a tendency to free-ride. One can employ incentive mechanisms to prevent such behavior. Some of the cooperative computing scenarios have the same access link shared ...
  • Advanced Hierarchical Topic Labeling for Short Text 
    TIWARI, PARAS (Institute of Electrical and Electronics Engineers Inc., 2023-04-05)
    Hierarchical Topic Modeling is the probabilistic approach for discovering latent topics distributed hierarchically among the documents. The distributed topics are represented with the respective topic terms. An unambiguous ...
  • Advanced Hierarchical Topic Labeling for Short Text 
    Tiwari, Paras; Tripathi, Ashutosh; Singh, Avaneesh; Rai, Sawan (Institute of Electrical and Electronics Engineers Inc., 2023-04-05)
    Hierarchical Topic Modeling is the probabilistic approach for discovering latent topics distributed hierarchically among the documents. The distributed topics are represented with the respective topic terms. An unambiguous ...
  • Animal biometrics: Techniques and applications 
    Kumar, S.; Singh, S.K.; Singh, R.; Singh, A.K. (Springer Singapore, 2018-03-16)
    This book presents state-of-the-art methodologies and a comprehensive introduction to the recognition and representation of species and individual animals based on their physiological and phenotypic appearances, biometric ...
  • Application of Fuzzy Optimization to the Orienteering Problem 
    Verma, Madhushi; Shukla, K. K. (Hindawi Publishing Corporation, 2015-06-18)
    This paper deals with the orienteering problem (OP) which is a combination of two well-known problems (i.e., travelling salesman problem and the knapsack problem). OP is an NP-hard problem and is useful in appropriately ...
  • Availability analysis of safety-critical and control systems of NPP using stochastic modeling 
    Kumar, P.; Kumar Singh, L.; Chaudhari, N.; Kumar, C. (Elsevier Ltd, 2020-11)
    Non-functional requirements are essentially important and play vital role for applications ranging from safety-critical systems (SCS) to simple gaming applications to ensure their quality. SCS demands not only for safe and ...
  • Bandwidth-constrained task throughput maximization in IoT-enabled 5G networks 
    Pratap, A.; Gupta, R.; Nadendla, V.S.S.; Das, S.K. (Elsevier B.V., 2020-11)
    Fog computing in 5G networks has played a significant role in increasing the number of users in a given network. However, Internet-of-Things (IoT) has driven system designers towards designing heterogeneous networks to ...
  • Benchmarking the clustering algorithms for multiprocessor environments using dynamic priority of modules 
    Mishra, P.K.; Mishra, A.; Mishra, K.S.; Tripathi, A.K. (2012-12)
    In this paper we give some extensive benchmark results for some dynamic priority clustering algorithms for homogeneous multiprocessor environments. By dynamic priority we mean a priority function that can change with every ...
  • 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 ...

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