Parvin Akhter, Sachin Bandewar, Durgesh Nandan, “Logarithmic Multiplier: An Analytical Review,” International Journal of Engineering Research, Vol.5 (8), pp: 721-723, August 2016.

Durgesh Nandan, Anurag Mahajan and Jitendra Kanungo, “Implementation of Leading One Detector based on reversible logic for logarithmic arithmetic,”International Journal of Computer Applications,Vol.173 (8), pp. 40-45, Sep. 2017.

Durgesh Nandan,Jitendra Kanungo and Anurag Mahajan, “65 years journey of logarithm multiplier,” International journal of pure and applied mathematics, Vol.118 (14), pp. 261-266, 2018.

Durgesh Nandan,Jitendra Kanungo and Anurag Mahajan, “An efficient VLSI architecture design of Leading One Detector,” International journal of pure and applied mathematics, Vol.118 (14), pp. 267-272, 2018.

Chaudhary, S., Nehra, R., Kumar, K., Dahiya, S., Durgesh Nandan, Kumar, S. (2024). "Dementia Alzheimer's disease diagnosis using convolutional neural networks on two-dimensional MRI slices". Revue d'Intelligence Artificielle, Vol. 38, No. 1, pp. 81-91. https://doi.org/10.18280/ria.380109

Prabhat Thakur, Alok Kumar, Durgesh Nandan, Ghanshyam Singh, "Spectrum Monitoring Techniques for Spectrum Mobility in Next Generation Connected Environments: A Technical Review", Ingénierie des Systèmes d’Information, Vol. 29, No. 3, pp. 987-1003. https://doi.org/10.18280/isi.290318.

Afshan Hashmi, Md Tabrez Nafis, Sameena Naaz, Durgesh Nandan, Imran Hussain, “Predictive Modelling of Glycated Hemoglobin Levels Using Machine Learning Regressors” Ingénierie des Systèmes d’Information, Vol. 28, No. 6, pp. 1505-1513.

Atif Faridi, Farheen Siddiqui, Durgesh Nandan, Md Tabrez Nafis, Mohd Abdul Ahad, “Dynamic adaptation of activation function to fine tune Video Resnet for Fight or Non-Fight classification”, Revue d’Intelligence Artificielle Vol. 37, No. 5, pp.1221-1228. https://doi.org/10.18280/ria.370514.

Amrita Rai, Krishanu Kundu, Rahul Dev, Seema Nayak, J.P. Keshri, Durgesh Nandan “Special Vehicle like Ambulance Recognition and Security System using Mobility Accredit System” Revue d’Intelligence Artificielle Vol. 37, No. 2, pp. 509-515. https://doi.org/10.18280/ria.370228.

Ayushi Jain, Durgesh Nandan, Pramoda Maduri,“Data Export and Optimization Technique in Connected Vechicle” Ingenierie des Systemes D’Information, Vol 28, Isuue 2, pp 517-525.

Bala Srinivas Peteti, Durgesh Nandan, “Heart disease Classification/Prediction: A Review” Revue d'Intelligence Artificielle, Vol. 37, No. 2, pp. 347-377. https://doi.org/10.18280/ria.370213.

N. Sai shanmukha Akshath, A. Naresh, M. Nikesh kumar, Mayur Barman, Durgesh Nandan, T. Abhilash, “Analysis and Simulation of Even-level Quasi Z-source Inverter”, IJECE, Vol. 12 (4), pp. August 2022, DOI: http://doi.org/10.11591/ijece.v12i4.pp%25p

Ram Kishun Lodhi, Bharat Raj Jaiswal, Durgesh Nandan, Katta Ramesh, “Numerical Solution of Two–Parameter Singularly Perturbed Convection-Diffusion Boundary Value Problems via Fourth Order Compact Finite Difference Method” Mathematical modelling of engineering problem, Vol.8 (5), 2021, pp. 819-825, https://doi.org/10.18280/mmep.080519

Durgesh Nandan,Anurag Mahajan, Jitendra Kanungo,“An efficient VLSI architecture design of antilogarithm converter with 10-regions error correction scheme”, Mathematical modelling of engineering problem, Vol. 8, No. 2, pp. 213-218. https://doi.org/10.18280/mmep.080207.

Durgesh Nandan, Mahajan, A. and Kanungo, J., “An efficient architecture of Iterative Logarithmic Multiplier,” International journal of engineering & technology (UAE).Vol.7 (2.16), pp. 24-28, 2018

Padala Neeraja and Durgesh Nandan “Smart home by using IOT system: A succinct study” Journal of Computational and Theoretical Nanoscience, Vol. 17, No. 9/10, pp. 4207–4212,2020.

G. Devananda Kumar, Vidheya Raju and Durgesh Nandan “A review on smart irrigation system” Journal of Computational and Theoretical Nanoscience, Vol. 17, No. 9/10, pp. 4239–4243, 2020.

R. Rohini, N. V. Satya Narayana and Durgesh Nandan “A crystal view on design of FIR filter” Journal of Computational and Theoretical Nanoscience, Vol. 17, No. 9/10, pp. 4235–4238, 2020.

D.S.V. Suma Priya, D. Esther Rani, A. Pavan Shankar Sai, A. Konda Babu,Durgesh Nandan, “Review on importance of Machine Learning and Artificial Intelligence in real life problem solving” Journal of Computational and Theoretical Nanoscience, Vol. 17, No. 9/10, pp. 4336–4339, 2020.

E. Jagadeeswara Rao, Durgesh Nandan, R.V. Vijaya Krishna and K. JayaramKumar, “A Systematic journal of Multipliers Accuracy and Performance Analysis,” International Journal of Engineering and Advanced Technology (IJEAT), Volume-8 Issue-6S, pp. 965-969, August 2019.

Kaushal Kumar, Durgesh Nandan, Ritesh Kumar Mishra, “Compact hardware of running gaussian average algorithm for moving object detection realized on FPGA and ASIC”. Revue d'Intelligence Artificielle, Vol. 33, No. 4, pp. 305-311. October 2019.

Sanjeev Kumar, Durgesh Nandan, Amit Shivhare and Ravi Kumar “A Multiple L-Shaped Slot Loaded Antenna with Multiband Circularly Polarized for WLAN and WiMAX Applications,” International Journal of Engineering and Advanced Technology (IJEAT), Volume-8 Issue-6S, pp. 965-969, August 2019.

Sanjeev Kumar, Durgesh Nandan, Mahesh Kumar Singh and Ravi Kumar “A Multiple Band-Notched Monopole Antenna with Incorporated GSM and UWB for Wireless Applications,” International Journal of Advanced Science and Technology (IJAST), Vol-28, No.-16, pp. 362-378, November 2019.

Sanjeev Kumar, Ravi Kumar and Durgesh Nandan, “Circular Slotted Antenna with CPW feed for GSM and UWB Applications”, International Journal of Sensors, Wireless Communications and Control, Vol. 11, No. 2, pp. 160-168,2021.DOI: 10.2174/2210327910666200123101812

Mahesh K. Singh, Durgesh Nandan, Sanjeev Kumar, “Identification of Face Based on Biometric Features by using Soft Computation Methods” Traitement du Signal (Accepted).

Sunil Dalal, Jyoti Prakash Singh, Arvind Kumar Tiwari, Durgesh Nandan “Improve COVID-19 diagnosis model using stacked autoencoder with locally controlled seagull kernel extreme learning machine” Traitement du Signal (Accepted).

Meena Malik, Durgesh Nandan, Chander Prabha, Mueen Uddin, Biswaranjan Acharya, Yu-Chen Hu, “A Bio-Inspired Metaheuristic Approach for Cloud Task Scheduling Using Lateral Hyena based particle swarm optimization”, Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19559-0.

Mahesh K. Singh, Durgesh Nandan, Sanjeev Kumar, “Duplicate image detection using deep learning modified SVM and KNN classification method for multimedia application” Software Computing, 28, 7659–7670 (2024). https://doi.org/10.1007/s00500-024-09756-2

Dhamale, T.D., Bhandari, S.U., Harpale, V.K., Nandan, D. (2024). Autism spectrum disorder detection using parallel deep convolution neural network and generative adversarial networks. Traitement du Signal, Vol. 41, No. 2, pp. 643-652. https://doi.org/10.18280/ts.410208

Tripathi, A.K., Aruna, M., Parida, S. Nandan, D.et al. Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques. Sci Rep 14, 7587 (2024). https://doi.org/10.1038/s41598-024-58021-x

Chander Prabha,Sukhwinder Kaur, Meena Malik, Mueen Uddin, Durgesh Nandan“A Cutting-Edge Feature Extraction Approach for Speaker Recognition Leveraging Optimized Variance Spectral Flux and Daubechies Wavelet”, Traitement du Signal, 2023, Vol 40 (6), pp.2845-2852.

Pawan Dubey, Tirupathi Raju Kanumuri, Ritesh Vyas, K.V.S.R. Murthy, Chandan Kumar Choubey, Durgesh Nandan, “Palmprint Representation through Combined Di?erential Concavity and In?rmity Codes”, Traitement du Signal, 2023, Vol. 40 (4), pp. 1739-1745

Mahesh K. Singh, Sanjeev Kumar, Durgesh Nandan, “Faulty Voice Diagnosis of Automotive Gearbox Based on Acoustic Feature Extraction and Classification Technique”,Journal of Engineering Research, 2023, Vol. 11, Issue. 2, https://doi.org/10.1016/j.jer.2023.100051,

Yogesh Shrivastava, Prashant Kumar Shrivastava, Durgesh Nandan, “Signal processing algorithms like ensemble empirical mode decomposition and statistical analysis-based tool chatter severity prediction” Traitement du Signal, Vol. 39, No. 4, pp. 1221-1227. https://doi.org/10.18280/ts.390414

Durgesh Nandan, Mahesh Kumar Singh, Sanjeev Kumar, Harendra Kumar Yadav, “Speaker identification based on physical variation of speech signal” Traitement du signal, Vol. 39, No. 2, pp. 711-716. https://doi.org/10.18280/ts.390235

Yogesh Shrivastava, Eram Neha, Bhagat Singh, Prashant Kumar Shrivastava, Durgesh Nandan, “Analysis of regenerative raw signals using variational mode decomposition” Traitement du signal, Vol. 39, No. 1, pp. 299-304. https://doi.org/10.18280/ts.390131

Shruti Bhargava Choubey, Abhishek Choubey, Durgesh Nandan, Anurag Mahajan, “Polycystic Ovarian Syndrome Detection by using Two Stage Image Denoising” Traitement du signal, 38, 4, 2021, pp. 1217-1227, https://doi.org/10.18280/ts.380433

Abhishek Kumar Tripathi, Mangalpady Aruna, Shashwati Ray, N R N V Gowripathi Rao, S. Vamshi Krishna, Durgesh Nandan, “Development and Evaluation of Dust Cleaning System for a Solar PV Panel”, Journal of Engineering Research, https://10.36909/jer.ICAPIE.15067, pp. 60-71

Sanjeev Kumar, Durgesh Nandan, Kunal Srivastava, Binod Kumar Kanaujia, “Dual-sense wideband circularly polarized textile MIMO antenna without decoupling structure for wireless applications”, IEEE Access, vol. 9, pp. 108601-108613, 2021, doi: 10.1109/ACCESS.2021.3101441

Subhransu Padhee, Durgesh Nandan, “Design of Automated Visual Inspection System for Beverage Industry Production Line” Traitement du signal, Vol. 38, No. 2, pp. 461-466, 2021. https://doi.org/10.18280/ts.380225

Durgesh Nandan, “An efficient antilogarithmic converter by using correction scheme for DSP processor”, Traitement du Signal,Vol. 37, No. 1, pp. 77-83, 2020. https://doi.org/10.18280/ts.370110

Prashant Srivastava, Yogesh Srivastava, Bhagat Singh, Arun kumar Pandey and Durgesh Nandan, “Investigation of Optimal Process Parameters for Laser Cutting of Inconel-718 Sheet,” Part C: Journal of Mechanical Engineering Science, 2019, https://doi.org/10.1177/0954406219895533

Mahesh Kumar, Durgesh Nandan and Sanjeev Kumar, “Statistical Analysis of Lower and Raised Pitch Voice Signal and its Efficiency Calculation,” Traitement du Signal, Vol. 36, No. 5, pp. 455-461, October 2019

Durgesh Nandan, Jitendra Kanungo and Anurag Mahajan, “An errorless Gaussian filter for image processing by using expanded operand decomposition logarithm multiplication,” Springer, Journal of ambient intelligence and humanized computing, Vol. 15, pp. 1045-1052, DOI:10.1007/s12652-018-0933-x, 2024

Durgesh Nandan, Jitendra Kanungo and Anurag Mahajan, “An Efficient VLSI architecture design for logarithmic multiplication by using the improved operand decomposition,” Elsevier, The integration, VLSI journal, Vol. 58, pp. 134-141, June 2017, DOI: 10.1016/j.vlsi.2017.02.003.