Karmeshu

According to our database, Karmeshu authored at least 37 papers between 1984 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Software Component Size Dataset.

Shachi Sharma, Parag C. Pendharkar, Karmeshu

Dataset, January, 2022

Learning Component Size Distributions for Software Cost Estimation: Models Based on Arithmetic and Shifted Geometric Means Rules.

Shachi Sharma, Parag C. Pendharkar, Karmeshu

IEEE Trans. Software Eng., 2022

2019

A New Modified Dropping Function for Congested AQM Networks.

Sanjeev Patel, Karmeshu

Wirel. Pers. Commun., 2019

Exact distributions for bit error rate and channel capacity in free-space optical communication.

Santosh Kumar, Rajeev Kumar Singh, Karmeshu

IET Commun., 2019

2018

A stochastic approximation approach to active queue management.

Shalabh Bhatnagar, Sanjeev Patel, Karmeshu

Telecommun. Syst., 2018

Performance Analysis of AQM Scheme Using Factorial Design Framework.

Sanjeev Patel, Kanwar Sen, Karmeshu

IEEE Syst. J., 2018

New approximation for pdf of K- distribution: analytical study of QoS parameters in free space optical communication.

Rajeev Kumar Singh, Santosh Kumar, Karmeshu

IET Commun., 2018

Characterizing ISI and sub-threshold membrane potential distributions: Ensemble of IF neurons with random squared-noise intensity.

Sanjeev Kumar, Karmeshu

Biosyst., 2018

2017

Adaptive mean queue size and its rate of change: queue management with random dropping.

Karmeshu, Sanjeev Patel, Shalabh Bhatnagar

Telecommun. Syst., 2017

2016

Generation of cubic power-law for high frequency intra-day returns: Maximum Tsallis entropy framework.

Dilip Senapati, Karmeshu

Digit. Signal Process., 2016

2015

Channel Capacity Analysis over Slow Fading Environment: Unified Truncated Moment Generating Function Approach.

Vineet Khandelwal, Karmeshu

Wirel. Pers. Commun., 2015

Efficacy of Pearson distributions for characterization of gray levels in clinical ultrasound kidney images.

Abhinav Gupta, Karmeshu

Signal Image Video Process., 2015

Analysis of Finite Buffer Queue: Maximum Entropy Probability Distribution With Shifted Fractional Geometric and Arithmetic Means.

Amit Kumar Singh, Harendra Pratap Singh, Karmeshu

IEEE Commun. Lett., 2015

Study of compound generalized Nakagami-generalized inverse Gaussian distribution and related densities: application to ultrasound imaging.

Abhinav Gupta, Karmeshu

Comput. Stat., 2015

Generation of Power Law: Maximum Entropy Framework and Superstatistics.

Karmeshu, Shachi Sharma, Sanjeev Kumar

Proceedings of the Man-Machine Interactions 4, 2015

2014

Performance Analysis of Composite Fading Channel Based on Point Estimate Method.

Vineet Khandelwal, Karmeshu

Wirel. Pers. Commun., 2014

A New Approximation for Average Symbol Error Probability over Log-Normal Channels.

Vineet Khandelwal, Karmeshu

IEEE Wirel. Commun. Lett., 2014

Power Law Behavior of Queue Size: Maximum Entropy Principle with Shifted Geometric Mean Constraint.

Amit Kumar Singh, Karmeshu

IEEE Commun. Lett., 2014

2013

On the Applicability of Average Channel Capacity in Log-Normal Fading Environment.

Karmeshu, Vineet Khandelwal

Wirel. Pers. Commun., 2013

2011

An Optimized SDE Model for Slotted Aloha.

Karmeshu, Shalabh Bhatnagar, Vivek Kumar Mishra

IEEE Trans. Commun., 2011

Neuronal model with distributed delay: analysis and simulation study for gamma distribution memory kernel.

Karmeshu, Varun Gupta, K. V. Kadambari

Biol. Cybern., 2011

MGF and high order moment of channel capacity in log-normal fading environment.

Karmeshu, Vineet Khandelwal

Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief, 2011

2010

Long Tail Behavior of Queue Lengths in Broadband Networks: Tsallis Entropy Framework

Karmeshu, Shachi Sharma

CoRR, 2010

2009

Optimal parameter trajectory estimation in parameterized SDEs: An algorithmic procedure.

Shalabh Bhatnagar, Karmeshu, Vivek Kumar Mishra

ACM Trans. Model. Comput. Simul., 2009

Power law characteristics and loss probability: finite buffer queueing systems.

Shachi Sharma, Karmeshu

IEEE Commun. Lett., 2009

2008

Transient Bimodality and Catastrophic Jumps in Innovation Diffusion.

Karmeshu, Debasree Goswami

IEEE Trans. Syst. Man Cybern. Part A, 2008

Bimodal packet distribution in loss systems using maximum Tsallis entropy principle.

Shachi Sharma, Karmeshu

IEEE Trans. Commun., 2008

Perturbation scheme for online learning of features: Incremental principal component analysis.

R. K. Agrawal, Karmeshu

Pattern Recognit., 2008

2007

On efficacy of Rayleigh-inverse Gaussian distribution over K-distribution for wireless fading channels.

Karmeshu, Rajeev Agrawal

Wirel. Commun. Mob. Comput., 2007

Truncating the hierarchy of moment equations based on point distribution - application to innovation diffusion.

Karmeshu, Praveen Sharma

Math. Comput. Model., 2007

Ultrasonic backscattering in tissue: characterization through Nakagami-generalized inverse Gaussian distribution.

Rajeev Agrawal, Karmeshu

Comput. Biol. Medicine, 2007

2006

On identifying marker genes from gene expression data in a neural framework through online feature analysis.

Nikhil R. Pal, Animesh Sharma, Somitra Kumar Sanadhya, Karmeshu

Int. J. Intell. Syst., 2006

q-Exponential product-form solution of packet distribution in queueing networks: maximization of Tsallis entropy.

Karmeshu, Shachi Sharma

IEEE Commun. Lett., 2006

Queue length distribution of network packet traffic: Tsallis entropy maximization with fractional moments.

Karmeshu, Shachi Sharma

IEEE Commun. Lett., 2006

2004

Sequence Variability and Long-Range Dependence in DNA: An Information Theoretic Perspective.

Karmeshu, A. Krishnamachari

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2001

Dynamics of Economic and Technological Search Processes in Complex Adaptive Landscapes.

Werner Ebeling, Karmeshu, Andrea Scharnhorst

Adv. Complex Syst., 2001

1984

Rationales for Bradford's law.

Karmeshu, N. C. Lind, V. Cano

Scientometrics, 1984