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Now showing items 1-20 of 67

Irregular, unknown light sources in dynamic global illumination

Chandran, S.; Srivastava, M.P. (Elsevier Ltd, 2004-12-01)

The goal in global illumination solutions for dynamic environments is to update a scene based on past scenes. For this difficult problem, current state of the art solutions are either not applicable, or unduly complex, ...
Secure two-party context free language recognition

Singh, A.; Barman, S.; Shukla, K.K. (Springer Verlag, 2005)

The growth of the internet provides opportunities for cooperative computation, it also requires development of protocols that can accomplish this task among mutually untrusting parties. The aim is to develop methods which ...
Single spin universal Boolean logic gate

Agarwal, H.; Pramanik, S.; Bandyopadhyay, S. (IOP Publishing Ltd and Deutsche Physikalische Gesellschaft, 2008-01-23)

Recent advances in manipulating single electron spins in quantum dots have brought us close to the realization of classical logic gates, where binary bits are encoded in spin polarizations of single electrons. Here, we ...
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 ...
A Monte Carlo algorithm for real time task scheduling on multi-core processors with software controlled dynamic voltage scaling

Mishra, Abhishek; Tripathi, Anil Kumar (Elsevier Inc., 2013-10-25)

The task scheduling problem for multi-core processors is an important algorithm design issue. Dynamic voltage scaling (DVS) is used to reduce the energy consumption of cores. We ponder the problem of task scheduling on a ...
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. ...
A Survey of Computational Intelligence Techniques in Protein Function Prediction

Tiwari, Arvind Kumar; Srivastava, Rajeev (Hindawi Limited, 2014-12-11)

During the past, there was a massive growth of knowledge of unknown proteins with the advancement of high throughput microarray technologies. Protein function prediction is the most challenging problem in bioinformatics. ...
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 ...
A Mathematical Model of Consumers' Buying Behaviour Based on Multiresolution Analysis

Upadhyay, P; Upadhyay, S.K; Shukla, K.K (Elsevier B.V, 2016)

In this paper we have presented a generalized mathematical model of consumers' buying behaviour. This model provides better insights and perceptions that can be used to take many important managerial decisions for any ...
Guest Editorial: Robust and Secure Data Hiding Techniques for Telemedicine Applications

Amit Kumar Singh, Amit Kumar; Kumar, Basant; Singh, Sanjay Kumar; Mayank Dave; Vivek Kumar Singh; Pardeep Kumar; S. P. Ghrera; Pradeep Kumar Gupt; Anand Mohan (Springer New York LLC, 2017-03-01)
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 ...
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. ...
Software Bug Prediction Prototype Using Bayesian Network Classifier: A Comprehensive Model

Sushant Kumar Pandey; Ravi Bhushan Mishra; Anil Kumar Triphathi (Elsevier B.V., 2018)

Software bug prediction becomes the vital activity during software development and maintenance. Fault prediction model able to engaged to identify flawed software code by utilizing machine learning techniques. Naive Bayes ...
Particle swarm optimisation with time varying cognitive avoidance component

Anupam Biswas; Bhaskar Biswas (Inderscience Enterprises Ltd., 2018)

Interactive cooperation of local best or global best solutions encourages particles to move towards them, hoping that better solution may present in the neighbouring positions around local best or global best. This ...
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Zhan, Huangying; Garg, Ravi; Weerasekera, Chamara Saroj; Li, Kejie; Agarwal, Harsh; Reid, Ian (IEEE Computer Society, 2018)

Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approaches treat the tasks in a supervised manner. Recent approaches to single view depth estimation ...
IEEE Access Special Section Editorial: Information Security Solutions for Telemedicine Applications

Singh, A.K.; Lv, Z.; Rho, S.; Singh, S.K.; Chang, X.; Puech, W. (Institute of Electrical and Electronics Engineers Inc., 2018)

Implementing telemedicine solutions has recently become a trend among various research teams at an international level. Telemedicine refers to the use of modern information and communication technologies to meet the needs ...
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 ...
Guest Editorial: Multimedia for Predictive Analytics

Singh, S.K.; Singh, A.K.; Kumar, B.; Sarkar, S.K.; Arya, K.V (Springer New York LLC, 2018-04-01)
Is Group Means Imputation Any Better Than Mean Imputation: A Study Using C5.0 Classifier

Faizan U F Khan; Kashan U Z Khan; S K Singh (Institute of Physics Publishing, 2018-07-23)

Since most data-driven systems including classifiers require large amounts of complete data, the task of handling missing data has garnered much attention. If one of the variables under study in a dataset has some ...
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 ...

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