Dr.Ch.V.M.S.N.Pavan Kumar

@becbapatla.ac.in

Assistant Professor, Department of ECE
Bapatla Engineering College

Dr.Ch.V.M.S.N.Pavan Kumar


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https://researchid.co/pavan4790
10

Scopus Publications

77

Scholar Citations

5

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Deep Learning-Based PM2.5 Concentration Estimation Using Convolutional Neural Network on Environmental Image Data
    Bhuma Chandra Mohan, Naga Raju Challa, M Lenin Babu, T. Krishna Chaitanya, Ch. V. M. S. N. Pavan Kumar, et al.
    6th IEEE International Conference on Recent Advances in Information Technology Rait 2025, 2025
  • Optimization Driven Spike Deep Belief Neural Network classifier: a deep-learning based Multichannel Spike Sorting Neural Signal Processor (NSP) module for high-channel-count Brain Machine Interfaces (BMIs)
    Vanga Karunakar Reddy, Sunil Babu Melingi, Ch. V. M. S. N. Pavan Kumar, K. Ashok Kumar, Ramesh Kumar Mojjada
    Artificial Intelligence Review, 2023
  • A bio-inspired AlexNet-DrpXLm architype for an effective brain stroke lesion detection and classification
    Sunil Babu Melingi, Ramesh Kumar Mojjada, Vanga Karunakar Reddy, Ch. V. M. S. N. Pavan Kumar, K. Ashok Kumar
    Concurrency and Computation Practice and Experience, 2022
    In this article, a bio‐inspired AlexNet‐DrpXLm architype is proposed for an effective brain stroke lesion detection and classification within a short period. Here, the input CT image datasets are collected from Himalayan Institute of Medical Sciences, then the images are preprocessed to take away the noises and also enhance the quality of the images. After that, the input images are trained and the features are extracted with the help of AlexNet model, and then classified as the brain images of normal and abnormal. The last three layers of the AlexNet model are replaced with the dropout extreme learning machine (DrpXLM) classifier to classify the images in efficient manner. The DrpXLM weight parameters are tuned by improved dolphin swarm optimization algorithm. The proposed method attains higher accuracy 99.54%, high precision 90.43%, high F‐score 89.40%, higher specificity 93.56%, higher sensitivity 93.56%, lower computational time 0.02 s, and the proposed method is compared to the existing methods, like random decision forest with gravitational search algorithm, hybrid native Bayes and sample weighted with random forest classification algorithm, and random forest with fractional‐order Darwinian particle swarm optimization.
  • Dual-band Micro-Strip Antenna using Split Ring Resonators for ISM Bands
    Venkataramanan C, Sarojini R, Porchelvi N, Pavan Kumar VMSN, Ramalingam S
    Proceedings International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2022, 2022
    The new generation of communication devices integrated more than one standard into a single system. When the frequency band of the antenna increases, it leads to an increase in antenna complexity. The primary purpose of this dual-band antenna is to achieve a smaller size, enhanced bandwidth and good gain. Initially, the general design equations and parameters are used to design the conventional patch antenna for 2.4 GHz; further, simple modifications (i.e. using slots and split rings) are included in the patch as well as ground to operate the antenna in dual-band mode. ANSYS High-Frequency Structure Simulator software (HFSS) is used to design and assess the proposed antenna for performance evaluation. The Return Loss of the suggested pattern at 2.45 GHz is −22.0729 dB and at 5.8 GHz is −27.4999 dB, whereas VSWR values are 1.17 and 1.08. The maximum gain at the 5.8 GHz band and 2.45 GHz band is found to be 6.511 dB and 3.219 dB, which is good for superior WLAN coverage and other IS M band applications.
  • Performance Measures of Spatially Multiplexed MIMO-OFDM System using Different Modulation Techniques
    Purna Satish A, Tejaswini A, Pavan Kumar Ch, Ashraf A, Akash K, et al.
    2022 2nd International Conference on Advances in Electrical Computing Communication and Sustainable Technologies Icaect 2022, 2022
    Multiple input multiple output (MIMO) systems employ more than one antenna at each of the two ends of the communication link and may transport at least two data streams over a single channel without requiring additional transmission capacity or power. In order to construct a stable communication stream, the receiving side should often have more antennas than the broadcasting side. Because of their better presentation abilities, MIMO frameworks have quickly gained popularity over the last decade. However, multi-stream interference and inter-symbol interference are encountered in spatially multiplexed MIMO systems as a result of the remote channel’s time-dispersive characteristics. To provide dependable and reliable communication, the influence of interference must be appropriately limited at the recipient. In order to counteract interference in spatially multiplexed wireless channels, orthogonal frequency division multiplexing (OFDM) is usually used. The study found that combining MIMO and OFDM delivers higher productivity, unwavering quality, gain, and information rate, and that it is an appealing air-interface suggestion for next-generation WLAN and WMANs. As a result, a spatially multiplexed MIMO-OFDM system was developed in this study, and performance measures such as bit error rate and bit energy to noise ratio were investigated using various modulation methods. At the receiver, the proposed method uses a zero forcing equalizer to spatially de-multiplex the data.
  • Non-dominated sorting particle swarm optimisation for multi-channel cooperative spectrum sensing in heterogeneous green CRNs
    Senthil Kumar Babu, C.V.M.S.N. Pavan Kumar
    International Journal of Advanced Intelligence Paradigms, 2021
  • Reconfigurable tri-band monopole antenna for LTE and WiMAX applications using FR4 material
    V.M.S.N. Ch. Pavan Kumar, B. Senthil Kumar, V. Mounika Reddy, G. Guru Prasad
    Materials Today Proceedings, 2020
  • Dynamic allocation of spectrum in hybrid access cognitive femtocell networks with practical spectrum sensing
    International Journal of Advanced Science and Technology, 2019
  • A game theory based approach for Dynamic Spectrum Allocation in hybrid access cognitive femtocell network
    Ch. V. M. S. N. Pavan Kumar, S Tamilselvan
    Journal of Computational and Theoretical Nanoscience, 2018
  • A review on 3GPP femtocell networks and its technical challenges
    CH. V. M. S. N. Pavan Kumar, S. Tamilselvan
    Indian Journal of Science and Technology, 2016
    Background/Objective: The demand for the data traffic is exponentially increasing day to day because of the proliferation of smart phones, tablets and internet-connected devices. To meet this requirements network operators has to dramatically increase their network capacities. Methods: One of the possible ways to increase the system capacity is bringing the transmitter and receiver nearer to each other. It gives dual benefits higher quality and spectrum efficiency. Findings: The cost effective solution is installing the low power nodes instead of traditional high power macro base stations. Examples of these low power nodes are microcells, picocells, femtocells and distributed antenna systems. The network, which consists of different power nodes, architectures, and protocols is called Heterogeneous network. To overcome the indoor coverage and increased system capacity femtocells also called low power base stations are selected by the researchers as the suitable solution. In this paper we overview the femtocell deployment scenarios, access modes, and technical challenges briefly. Improvements: This paper gives the details about solutions available in the literature and gives future research directions to solve the technical challenges faced by femtocells.

RECENT SCHOLAR PUBLICATIONS

  • Optimization driven spike deep belief neural network classifier: a deep-learning based multichannel spike sorting neural signal processor (nsp) module for high-channel-count …
    VK Reddy, SB Melingi, CVP Kumar, KA Kumar, RK Mojjada
    Artificial Intelligence Review 56 (Suppl 2), 2207-2233 , 2023
    2023
    Citations: 8
  • Automatic Recognition of Lung Tumor Using Convolutional Neural Networks
    HD Praveena, CVP Kumar, A Rajani, P Bharathi
    Cardiometry, 302-308 , 2023
    2023
  • A bio-inspired AlexNet-DrpXLm architype for an effective brain stroke lesion detection and classification
    KAK Sunil Babu Melingi, Ramesh Kumar Mojjada, Vanga Karunakar Reddy, Ch. V ...
    Concurrency Computation Practice and Experience, 1-18 , 2022
    2022
    Citations: 5
  • Reconfigurable Tri-band Planar Monopole Antenna for LTE and WiMAX Applications using FR4 Material
    GGP Ch.V.M.S.N.Pavan Kumar, Senthil Kumar B, V Mounika Reddy
    Materials Today: Proceedings 39 (1), 513-519 , 2021
    2021
    Citations: 7
  • Non-Dominated Sorting Particle Swarm Optimization (NSPSO) for Multi-Channel Cooperative Spectrum Sensing in Heterogeneous Green CRNs
    CVMSNPK Senthil Kumar Babu
    International Journal of Advanced Intelligence Paradigms 18 (1), 25-45 , 2021
    2021
  • Road Irregularities Detection and Driver Alert System
    GAE B.Senthil Kumar, VMSN Pavan Kumar Ch, N. Ashokkumar
    Journal of University of Shanghai for Science and Technology 22 (11), 860-866 , 2020
    2020
  • Optimial decoder architecture for polar codes using belief propagation technique
    VMSNPKC K. Haneesha
    Journal of Emerging Technologies and Innovative Research 6 (5), 35-41 , 2019
    2019
  • DYNAMIC ALLOCATION OF SPECTRUM IN HYBRID ACCESS COGNITIVE FEMTOCELL NETWORKS WITH PRACTICAL SPECTRUM SENSING
    ST Ch.V.M.S.N.Pavan Kumar, P.V.Ramana, B.Senthil Kumar
    International Journal of Advanced Science and Technology 28 (19), 151-160 , 2019
    2019
  • Design, Simulation and Testing of Digital Beacon Receiver using Ads Software
    KCVMSNP Revathi.V., Parvathi. P., Hemachandra. G.
    i-manager’s Journal on Communication Engineering and Systems 7 (3), 16-27 , 2018
    2018
  • A Game Theory Based Approach for Dynamic Spectrum Allocation in Hybrid Access Cognitive Femtocell Network
    CV Kumar, S Tamilselvan
    Journal of Computational and Theoretical Nanoscience 15 (6-7), 2092-2098 , 2018
    2018
  • Multifunctional operation and application of GPS
    RB Rustamov, AM Hashimov
    BoD–Books on Demand , 2018
    2018
    Citations: 45
  • Review on Sparse-Based Multipath Estimation and Mitigation: Intense Solution to Counteract the Effects
    GA Elango, BS Kumar
    Multifunctional Operation and Application of GPS, 1 , 2018
    2018
    Citations: 2
  • High Density Impulse Noise Removal using Trimmed Global Mean
    CVMSNPK H.D.Praveena, K.Sudha, V.Navya
    Journal of Advanced Research in Dynamical and Control Systems 9 (14), 780-789 , 2017
    2017
  • Paraunitary Filter Bank Based Spectrum Sensing To Avoid Interference in Macro-Femto Cellular Networks
    ST Ch.V.M.S.N.Pavan Kumar
    Journal of Advanced Research in Dynamical and Control Systems 9 (12) , 2017
    2017
  • Performance Comparison of Paraunitary Analysis Filter Bank Based Spectrum Sensing Technique over Multipath Channels
    ST Ch.V.M.S.N.Pavan Kumar
    Indian Journal of Science and Technology 10 (1) , 2017
    2017
  • A review on 3GPP femtocell networks and its technical challenges
    CHVP Kumar, S Tamilselvan
    Indian J. Sci. Technol. 9 (16) , 2016
    2016
    Citations: 5
  • Interference mitigation in femtocell networks by efficient frequency reuse
    P Prabhakaran, CVP Kumar, S Tamilselvan
    International Journal of Knowledge Engineering and Soft Data Paradigms 5 (3 … , 2016
    2016
  • Design, Analysis and FPGA Implementation of N Bit Vedic Multiplier Based on Different Adder Architectures
    CHVMSNPK S.Tamilselvan, V.Anil Kumar, V.Kamalkannan
    International Journal of Advanced Research in Computer and Communication … , 2015
    2015
    Citations: 4
  • REGION OF INTEREST MEDICAL IMAGE COMPRESSION USING SET PARTITIONING IN HIERARCHICAL TREES [J]
    VA Kumar, VPK Ch
    2015
    Citations: 1
  • Development of a Method for Wavelet Multispectral Analysis to Weather Forecasting
    DAPK D. Bullibabu, Ch.V.M.S.N. Pavan Kumar
    International Journal on Recent and Innovation Trends in Computing and … , 2014
    2014

MOST CITED SCHOLAR PUBLICATIONS

  • Multifunctional operation and application of GPS
    RB Rustamov, AM Hashimov
    BoD–Books on Demand , 2018
    2018
    Citations: 45
  • Optimization driven spike deep belief neural network classifier: a deep-learning based multichannel spike sorting neural signal processor (nsp) module for high-channel-count …
    VK Reddy, SB Melingi, CVP Kumar, KA Kumar, RK Mojjada
    Artificial Intelligence Review 56 (Suppl 2), 2207-2233 , 2023
    2023
    Citations: 8
  • Reconfigurable Tri-band Planar Monopole Antenna for LTE and WiMAX Applications using FR4 Material
    GGP Ch.V.M.S.N.Pavan Kumar, Senthil Kumar B, V Mounika Reddy
    Materials Today: Proceedings 39 (1), 513-519 , 2021
    2021
    Citations: 7
  • A bio-inspired AlexNet-DrpXLm architype for an effective brain stroke lesion detection and classification
    KAK Sunil Babu Melingi, Ramesh Kumar Mojjada, Vanga Karunakar Reddy, Ch. V ...
    Concurrency Computation Practice and Experience, 1-18 , 2022
    2022
    Citations: 5
  • A review on 3GPP femtocell networks and its technical challenges
    CHVP Kumar, S Tamilselvan
    Indian J. Sci. Technol. 9 (16) , 2016
    2016
    Citations: 5
  • Design, Analysis and FPGA Implementation of N Bit Vedic Multiplier Based on Different Adder Architectures
    CHVMSNPK S.Tamilselvan, V.Anil Kumar, V.Kamalkannan
    International Journal of Advanced Research in Computer and Communication … , 2015
    2015
    Citations: 4
  • Review on Sparse-Based Multipath Estimation and Mitigation: Intense Solution to Counteract the Effects
    GA Elango, BS Kumar
    Multifunctional Operation and Application of GPS, 1 , 2018
    2018
    Citations: 2
  • REGION OF INTEREST MEDICAL IMAGE COMPRESSION USING SET PARTITIONING IN HIERARCHICAL TREES [J]
    VA Kumar, VPK Ch
    2015
    Citations: 1
  • Automatic Recognition of Lung Tumor Using Convolutional Neural Networks
    HD Praveena, CVP Kumar, A Rajani, P Bharathi
    Cardiometry, 302-308 , 2023
    2023
  • Non-Dominated Sorting Particle Swarm Optimization (NSPSO) for Multi-Channel Cooperative Spectrum Sensing in Heterogeneous Green CRNs
    CVMSNPK Senthil Kumar Babu
    International Journal of Advanced Intelligence Paradigms 18 (1), 25-45 , 2021
    2021
  • Road Irregularities Detection and Driver Alert System
    GAE B.Senthil Kumar, VMSN Pavan Kumar Ch, N. Ashokkumar
    Journal of University of Shanghai for Science and Technology 22 (11), 860-866 , 2020
    2020
  • Optimial decoder architecture for polar codes using belief propagation technique
    VMSNPKC K. Haneesha
    Journal of Emerging Technologies and Innovative Research 6 (5), 35-41 , 2019
    2019
  • DYNAMIC ALLOCATION OF SPECTRUM IN HYBRID ACCESS COGNITIVE FEMTOCELL NETWORKS WITH PRACTICAL SPECTRUM SENSING
    ST Ch.V.M.S.N.Pavan Kumar, P.V.Ramana, B.Senthil Kumar
    International Journal of Advanced Science and Technology 28 (19), 151-160 , 2019
    2019
  • Design, Simulation and Testing of Digital Beacon Receiver using Ads Software
    KCVMSNP Revathi.V., Parvathi. P., Hemachandra. G.
    i-manager’s Journal on Communication Engineering and Systems 7 (3), 16-27 , 2018
    2018
  • A Game Theory Based Approach for Dynamic Spectrum Allocation in Hybrid Access Cognitive Femtocell Network
    CV Kumar, S Tamilselvan
    Journal of Computational and Theoretical Nanoscience 15 (6-7), 2092-2098 , 2018
    2018
  • High Density Impulse Noise Removal using Trimmed Global Mean
    CVMSNPK H.D.Praveena, K.Sudha, V.Navya
    Journal of Advanced Research in Dynamical and Control Systems 9 (14), 780-789 , 2017
    2017
  • Paraunitary Filter Bank Based Spectrum Sensing To Avoid Interference in Macro-Femto Cellular Networks
    ST Ch.V.M.S.N.Pavan Kumar
    Journal of Advanced Research in Dynamical and Control Systems 9 (12) , 2017
    2017
  • Performance Comparison of Paraunitary Analysis Filter Bank Based Spectrum Sensing Technique over Multipath Channels
    ST Ch.V.M.S.N.Pavan Kumar
    Indian Journal of Science and Technology 10 (1) , 2017
    2017
  • Interference mitigation in femtocell networks by efficient frequency reuse
    P Prabhakaran, CVP Kumar, S Tamilselvan
    International Journal of Knowledge Engineering and Soft Data Paradigms 5 (3 … , 2016
    2016
  • Development of a Method for Wavelet Multispectral Analysis to Weather Forecasting
    DAPK D. Bullibabu, Ch.V.M.S.N. Pavan Kumar
    International Journal on Recent and Innovation Trends in Computing and … , 2014
    2014