Rationales for Bradford's law. - Karmeshu; N. C. Lind; V. Cano (Scientometrics, 1984)

Dynamics of Economic and Technological Search Processes in Complex Adaptive Landscapes. - Werner Ebeling; Karmeshu; Andrea Scharnhorst (Adv. Complex Syst., 2001)

Sequence Variability and Long-Range Dependence in DNA: An Information Theoretic Perspective. - Karmeshu; A. Krishnamachari (ICONIP, 2004)

Queue length distribution of network packet traffic: Tsallis entropy maximization with fractional moments. - Karmeshu; Shachi Sharma (IEEE Commun. Lett., 2006)

q-Exponential product-form solution of packet distribution in queueing networks: maximization of Tsallis entropy. - Karmeshu; Shachi Sharma (IEEE Commun. Lett., 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)

Ultrasonic backscattering in tissue: characterization through Nakagami-generalized inverse Gaussian distribution. - Rajeev Agrawal; Karmeshu (Comput. Biol. Medicine, 2007)

Truncating the hierarchy of moment equations based on point distribution - application to innovation diffusion. - Karmeshu; Praveen Sharma (Math. Comput. Model., 2007)

On efficacy of Rayleigh-inverse Gaussian distribution over K-distribution for wireless fading channels. - Karmeshu; Rajeev Agrawal (Wirel. Commun. Mob. Comput., 2007)

Perturbation scheme for online learning of features: Incremental principal component analysis. - R. K. Agrawal 001; Karmeshu (Pattern Recognit., 2008)

Bimodal packet distribution in loss systems using maximum Tsallis entropy principle. - Shachi Sharma; Karmeshu (IEEE Trans. Commun., 2008)

Transient Bimodality and Catastrophic Jumps in Innovation Diffusion. - Karmeshu; Debasree Goswami (IEEE Trans. Syst. Man Cybern. Part A, 2008)

Power law characteristics and loss probability: finite buffer queueing systems. - Shachi Sharma; Karmeshu (IEEE Commun. Lett., 2009)

Optimal parameter trajectory estimation in parameterized SDEs: An algorithmic procedure. - Shalabh Bhatnagar; Karmeshu; Vivek Kumar Mishra (ACM Trans. Model. Comput. Simul., 2009)

Long Tail Behavior of Queue Lengths in Broadband Networks: Tsallis Entropy Framework - Karmeshu; Shachi Sharma (CoRR, 2010)

MGF and high order moment of channel capacity in log-normal fading environment. - Karmeshu; Vineet Khandelwal (ACWR, 2011)

Neuronal model with distributed delay: analysis and simulation study for gamma distribution memory kernel. - Karmeshu; Varun Gupta; K. V. Kadambari (Biol. Cybern., 2011)

An Optimized SDE Model for Slotted Aloha. - Karmeshu; Shalabh Bhatnagar; Vivek Kumar Mishra (IEEE Trans. Commun., 2011)

On the Applicability of Average Channel Capacity in Log-Normal Fading Environment. - Karmeshu; Vineet Khandelwal (Wirel. Pers. Commun., 2013)

Power Law Behavior of Queue Size: Maximum Entropy Principle with Shifted Geometric Mean Constraint. - Amit Kumar Singh; Karmeshu (IEEE Commun. Lett., 2014)

A New Approximation for Average Symbol Error Probability over Log-Normal Channels. - Vineet Khandelwal; Karmeshu (IEEE Wirel. Commun. Lett., 2014)

Performance Analysis of Composite Fading Channel Based on Point Estimate Method. - Vineet Khandelwal; Karmeshu (Wirel. Pers. Commun., 2014)

Generation of Power Law: Maximum Entropy Framework and Superstatistics. - Karmeshu; Shachi Sharma; Sanjeev Kumar (ICMMI, 2015)

Study of compound generalized Nakagami-generalized inverse Gaussian distribution and related densities: application to ultrasound imaging. - Abhinav Gupta 006; Karmeshu (Comput. Stat., 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)

Efficacy of Pearson distributions for characterization of gray levels in clinical ultrasound kidney images. - Abhinav Gupta 006; Karmeshu (Signal Image Video Process., 2015)

Channel Capacity Analysis over Slow Fading Environment: Unified Truncated Moment Generating Function Approach. - Vineet Khandelwal; Karmeshu (Wirel. Pers. Commun., 2015)

Generation of cubic power-law for high frequency intra-day returns: Maximum Tsallis entropy framework. - Dilip Senapati; Karmeshu (Digit. Signal Process., 2016)

Adaptive mean queue size and its rate of change: queue management with random dropping. - Karmeshu; Sanjeev Patel; Shalabh Bhatnagar (Telecommun. Syst., 2017)

Characterizing ISI and sub-threshold membrane potential distributions: Ensemble of IF neurons with random squared-noise intensity. - Sanjeev Kumar; Karmeshu (Biosyst., 2018)

New approximation for pdf of K- distribution: analytical study of QoS parameters in free space optical communication. - Rajeev Kumar Singh 002; Santosh Kumar 003; Karmeshu (IET Commun., 2018)

Performance Analysis of AQM Scheme Using Factorial Design Framework. - Sanjeev Patel; Kanwar Sen; Karmeshu (IEEE Syst. J., 2018)

A stochastic approximation approach to active queue management. - Shalabh Bhatnagar; Sanjeev Patel; Karmeshu (Telecommun. Syst., 2018)

Exact distributions for bit error rate and channel capacity in free-space optical communication. - Santosh Kumar 003; Rajeev Kumar Singh 002; Karmeshu (IET Commun., 2019)

A New Modified Dropping Function for Congested AQM Networks. - Sanjeev Patel; Karmeshu (Wirel. Pers. Commun., 2019)

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)

Software Component Size Dataset. - Shachi Sharma; Parag C. Pendharkar; Karmeshu (IEEE DataPort, 2022)