Journals

• 01Choudhary T., Goyal V., and Bansal A., "WTASR: Wavelet Transform for Automatic Speech Recognition of Indian Languages" Accepted in IEEE's Journal Big Data Mining and Analytics (2022), https://doi.org/10.26599/BDMA.2022.9020017  (Scopus indexed)
• 02Agarwal, D., and Bansal A., “An alignment‐free non‐invertible transformation‐based method for generating the cancellable fingerprint template” Accepted in Pattern Analysis and Applications, (2022) https://doi.org/10.1007/s10044-022-01080-5 (SCI indexed, 2020 I.F. 2.580)
• 03Sau, P. and Bansal, A., “A Novel Diabetic Retinopathy Grading using Modified Deep Neural Network with Segmentation of Blood Vessels and Retinal Abnormalities”, Accepted in Multimedia Tools and Applications, (2022) (SCI indexed, 2020 I.F. 2.757)
• 04Bachan, P., Shukla, A. and Bansal, A., “ Buffer-aided cooperative NOMA with partial relay selection”, Telecommunication Systems, 80(1), pp. 45-57, (2022) (Scopus indexed)
• 05Bhargava, A., Bansal, A., Goyal V. and Bansal P., "Machine Learning-based Automatic detection of Novel Coronavirus (COVID-19) disease", Multimedia Tools and Applications, vol. 81(10), pp. 13731-13750, (2022)(SCI indexed, 2020 I.F. 2.757)
• 06Bhargava, A., Bansal, A., Goyal V. and Bansal P., “A review on Tea Quality and Safety using Emerging Parameters”, Accepted in Journal of Food Measurement and Characterization, (2021) https://doi.org/10.1007/s11694-021-01232-x  (SCI indexed; 2020 IF = 2.431)
• 07Bhargava, A., Bansal, A. and Goyal V., “Machine Learning-based Detection and Sorting of Multiple Vegetables and Fruit”, Food Analytical Methods, vol. 15, pp. 228–242 (2022) https://doi.org/10.1007/s12161-021-02086-1  (SCI indexed; 2020 IF = 3.366)
• 08Bhargava, A. and Bansal, A., “Novel Coronavirus (COVID-19) Diagnosis using computer vision and artificial intelligence techniques: A Review”, Multimedia Tools and Applications, vol. 80, pp. 19931–19946 (2021) https://doi.org/10.1007/s11042-021-10714-5   (SCI indexed, 2020 I.F. 2.757)
• 09Bhargava, A., Bansal, A., “Classification and Grading of Multiple Variety of Apples Fruit” Food Analytical Methods, vol. 14, pp.1359–1368 (2021) https://doi.org/10.1007/s12161-021-01970-0  (SCI indexed; 2020 IF = 3.366)
• 10Srivastava, P., Shukla, A. and Bansal, A., “A comprehensive review on soil classification using deep learning and computer vision techniques”, Multimedia Tools & Applications (2021), vol. 80(10), 14887-14914, https://doi.org/10.1007/s11042-021-10544-5 (SCI indexed, 2020 I.F. 2.757)
• 11Agarwal, D., and Bansal A., “A utility of pores as level 3 features in latent fingerprint identification” Multimedia Tools & Applications, vol. 80, 23605–23624 (2021) https://doi.org/10.1007/s11042-020-10207-x (SCI Indexed, 2020 I.F. 2.757)
• 12Agarwal, D., and Bansal A., “Fingerprint liveness detection through fusion of pores perspiration and texture features” Journal of King Saud University - Computer and Information Sciences (2020), doi: https://doi.org/10.1016/j.jksuci.2020.10.003   (SCIE  Indexed, 2020 I.F. 13.473)
• 13Bhargava, A. and Bansal, A., “Machine learning based quality evaluation of Mono-Colored Apples”, Multimedia Tools & Applications, 79 (31-32), 22989-23006 (2020) https://doi.org/10.1007/s11042-020-09036-9  (SCI indexed, 2020 I.F. 2.757)
• 14Bhargava, A., Bansal, A., “Automatic detection and grading of multiple fruits by machine learning” Food Analytical Methods, (2020), vol. 13(3), pp. 751-761 https://doi.org/10.1007/s12161-019-01690-6  (SCI indexed; 2020 IF = 3.366)
• 15Bhargava, A., Bansal, A., “Quality Evaluation of Mono & Bi-Colored Apples with Computer Vision and Multispectral Imaging” Multimedia Tools and Applications (2020), 79(11), 7857-7874 https://doi.org/10.1007/s11042-019-08564-3  (SCI indexed; 2020 IF = 2.757)
• 16Agarwal, D., and Bansal A., “Fingerprint pores extraction by using automatic scale selection” International Journal of Biometrics (2020), 12(3), pp. 317-336 https://doi.org/10.1504/IJBM.2020.108483   (ESCI and SCOPUS Indexed)
• 17Srivastava P., Agarwal, D., and Bansal A., “Ear Based Human Identification using a Combination of Wavelets and Multi-scale Local Binary Pattern” International Journal of Future Generation Communication and Networking, vol. 12, no. 3, pp. 41-56, September 2019  (ESCI Index) 
• 18Shukla A., Bansal A., Deolia V.K. and Karan Veer, “MMSE Equalization Based Performance of Chaotic Interleaving Scheme for Iterative IDMA System” International Journal of sensors, wireless communication and control, vol. 9, pp. 237-246, 2019   (Scopus Index)
• 19Shukla A., Bansal A., Goyal V., Deolia V.K. and Karan Veer, “Performance evaluation of chaos based IDMA scheme using joint turbo equalization over frequency selective fading channel” in International Journal of Telecommunication, Electronic and computer Engineering, vol. 10, no 4, pp. 59-64, December, 2018 (Scopus Index)
• 20Bhargava, A., Bansal, A., “Fruits and Vegetables Quality Evaluation Using Computer Vision: A Review”, Journal of King Saud University - Computer and Information Sciences (2018) Volume 33, Issue 3, March 2021, Pages 243-257 https:// doi.org/10.1016/j.jksuci.2018.06.002(SCI and SCOPUS Indexed)
• 21Bansal, A., Agarwal, R., Sharma, R.K., “Iris Images based pre-diagnostic tool to predict obstructive lung diseases” Biomedical Research, (Allied Academics), special. issue S517-S522, pp. 517-522, 2018  https://doi.org/10.4066/BIOMEDICALRESEARCH.29-17-1998   (SCI indexed; 2016 IF = 0.219)
• 22Agarwal D. and Bansal A., “Non-invasive techniques for the screening of diabetic retinopathy”, Journal of Biomedical Imaging and Bioengineering, Vol. 1(2), 25-30, Nov. 2017
• 23Divakar M., Sau P.C. and Bansal A., “Retinal Vascular Tree Extraction”, Journal of Basic and Applied Engineering Research, vol. 4(4), 344-350, April-June, 2017.
• 24Bansal, A., Agarwal, R., Sharma, R.K., “Statistical Feature Extraction Based Iris Recognition System” Springer’s SADHANA, vol. 41(5), 507-518, June, 2016 https://doi.org/10.1007/s12046-016-0492-9 (SCI indexed; 2020 IF = 1.188)
• 25Bansal, A., Agarwal, R., Sharma, R.K., “Determining Diabetes Using Iris Recognition System” Springer’s International Journal of Diabetes in Developing Countries, vol. 35(4), 432-438, December, 2015 https://doi.org/10.1007/s13410-015-0296-1 (SCI indexed; 2020 IF = 0.718)
• 26Singh, D., Bansal, A., Bansal, N., “A Review on Optical Character Recognition Using Various Techniques” Journal of Basic and Applied Engineering Research, vol. 2(2), 136-139, Jan-March, 2015.
• 27Bansal, A., Agarwal, R., Sharma, R.K., “Predicting Gender Using Iris Images” Research Journal of Recent Sciences, vol. 3(4), 20-26, April, 2014
• 28 Bansal, N., Deolia, V.K., Bansal, A. and Pathak, P. “Performance evaluation of LSB Technique for Digital Watermarking”, International Journal of Information & Communication Technology (IJICT), Volume 4, No. 13, pp. 1237-1244, 2014.

International Conferences

• 01Srivastava P., Shukla A. and Bansal A.," Convolutional Neural Network to Predict Soil Texture Classes", Accepted in Second International Conference on Signals, Machines and Automation (SIGMA 2022), Netaji Subhas University of Technology, New Delhi, India, India, August 5-6, 2022, Springer's Lecture Notes in Electrical Engineering. (Book Chapter)              (Scopus indexed)
• 02Bhargava, A., Bansal, A. and Goyal, V., “ Detection and Grading of Different Vegetables using Machine Learning”, Springer’s Lecture Notes in Networks and Systems, 2022, 318, pp. 671–679 (Book Chapter) (Scopus indexed)
• 03Choudhary, T., Bansal, A., Goyal, V., “ Investigation of CNN-Based Acoustic Modeling for Continuous Hindi Speech Recognition”, Springer’s Lecture Notes in Networks and Systems, 2022, 244, pp. 425–431 (Book Chapter) (Scopus indexed)
• 04Bhargava, A., Bansal, A., “Machine learning based detection and grading of varieties of Apples and Mangoes”, International Conference on Communication and Artificial Intelligence, Springer’s Lecture Notes in Networks and Systems, Accepted, August, 2020 (Book Chapter)   (Scopus indexed)
• 05Bhargava, A., Bansal, A., “Grading of variety of Bi and Mono colored Apples”, International Conference on Soft Computing and Signal Processing (ICSCSP-2020), Springer’s Advances in Intelligent Systems and Computing, 2021, 1340, pp. 375-382, 2021 (Book Chapter) (Scopus indexed)
• 06Diwakar Agarwal, Garima, Atul Bansal, “A Utility of Ridge Contour Points in Minutiae-Based Fingerprint Matching”, International Conference on Computational Intelligence & Data Engineering (ICCIDE-2020), Springer’s Lecture Notes on Data Engineering and Communications Technologies, 2021, 56, pp. 273–286  (Book Chapter)  (Scopus indexed)
• 07Diwakar Agarwal, Atul Bansal, “Assessment of Latent Fingerprint Image Quality based on Level 1, Level 2 and texture features”, International Conference on Innovative Computing and Communication (ICICC-2020), Feb 2020, Springer’s Advances in Intelligent Systems and Computing 1165, pp. 489-501 (Book Chapter)     (Scopus indexed)
• 08Samant P., Bansal A., and Agarwal R., “A hybrid filtering based Retinal Blood Vessel Segmentation Algorithm” Proceeding of First International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM-2019), 26-27 February, 2019, Springer’s Advances in Intelligent Systems and Computing-992, pp. 73-79. (Book Chapter)  (Scopus indexed)
• 09Srivastava P., Agarwal, D., and Bansal A., “Ear Detection and Recognition Techniques: A comparative Review” Proceeding of 2nd International Conference on Data & Information Sciences (ICDIS-2019), 29-30 March, 2019, Advances in Data and Information Sciences, Springer’s Lecture Notes in Networks and Systems, vol. 94, pp. 533-543. (Book Chapter)  (Scopus indexed)
• 10Agarwal, D., and Bansal A., “Non-adaptive and Adaptive Filtering Techniques for Fingerprint Pores Extraction” Proceeding of 2nd International Conference on Data & Information Sciences (ICDIS-2019), 29-30 March, 2019, Advances in Data and Information Sciences, Springer’s Lecture Notes in Networks and Systems, vol. 94, pp. 643-654. (Book Chapter)    (Scopus indexed)
• 11Paresh Chandra Sau, Atul Bansal, “Unsupervised blood vessel segmentation using iterative adaptive thresholding method”, International Conference on Frontiers in Engineering, Applied Sciences and Technology (FEAST 2018), April 27-28, 2018, pp-1-5, ISBN 978-81-908388-6-3National Institute of Technology, Tiruchirappalli
• 12P. Bachan, Atul Bansal, “NIR Cross-Sensor Based Gender Classification from IRIS Biometrics: A Review” International Conference on Frontiers in Engineering, Applied Sciences and Technology (FEAST-2018), held on 27th-28th April-2018, National Institute of Technology, Tiruchirappalli.
• 13Gupta G., Shukla A. and Bansal A., “Comparison of CPM OFDMA system and IDMA scheme for Uplink Transmission in LTE”, Proceeding of International Conference on Innovative Technologies in Engineering 2018 (ICITE-2018), Osmania University, Hyderabad
• 14Samant P., Agarwal R., and Bansal A., “Enhanced Discrete Cosine Transformation feature based iris recognition using various scanning techniques”, Proceeding of 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON’17), Oct. 26-28, 2017, pp. 685-690. (Scopus indexed)
• 15Bansal A., Agarwal R., Sharma R.K., “Pre-diagnostic tool to predict obstructive lung diseases using iris images” Proceeding of Springer’s International Conference on Smart Innovations in Communications and Computational Sciences (ICSICCS-2017), 23-24 June, 2017, Springer’s Advances in Intelligent Systems and Computing, 2019, 669, pp. 71–79 (Book Chapter)   (Scopus indexed)
• 16Sharma M.C, Agarwal D., Bansal A., “Performance Analysis of Image Transmission through Rayleigh Channel”, Proceeding of 8th International Conference on Computing Communication and Networking Technologies 2017, IIT Delhi, 3rd-5th July, 2017, pp. 1-5.  (Scopus indexed)
• 17Divakar M., Sau P.C. and Bansal A., “Diabetic Retinopathy Screening using Retinal Blood Vessel and Lesions Segmentation- A Comparative Study” Proceedings of IEEE International Conference on Computing, Communication and Automation (ICCCA2017), 5-6 May, 2017, pp.1153-1157.   (Scopus indexed)
• 18Sharma M.C, Agarwal D., Bansal A., “Image Transmission through Wireless Channel: A Review”, Proceedings of 2016 Ist IEEE International Conference on Power Electronics, Intelligent Control & Energy Systems (ICPEICES 2016), pp.1-4.   (Scopus indexed)
• 19Bansal N., Bansal A., Deolia V.K., Pathak P., “Comparative Analysis of Digital Watermarking Techniques” Proceedings of the Springer’s International Congress on Information and Communication Technology, Advances in Intelligent Systems and Computing 438, pp.105-115. (Book Chapter)  (Scopus indexed)
• 20Singh. D., Khan. A., Bansal. A., Bansal. A., “An Application of SVM in Character Recognition with Chain Code’’, Proceedings of IEEE International conference on “Communication Control and Intelligent System: CCIS-2015”, 7-8 November, 2015, Mathura, pp.167-171   (Scopus indexed)
• 21Singh D., Bansal A. and Bansal N., “Optical Character Recognition Using Artificial Neural Network as Classifier”, Proceedings of 2nd International Conference on VLSI, Communication and Networks(VCAN-2015), IET Alwar, 18-19 April, 2015.
• 22Bansal N., Bansal A., Deolia V.K., Pathak P., “Comparative Analysis of LSB, DCT, and DWT for Digital Watermarking”, Proceeding of 9th INDIACom, INDIACom 2015, 2nd IEEE International Conference on Computing for Sustainable Global Development, pp. 40-45, March 11-13, 2015(Scopus indexed)
• 23Bansal N., Deolia V.K., Bansal A., Pathak P., “Digital Image Watermarking Using Least Significant Bit Technique in Different Positions”, Proceeding of Sixth IEEE International Conference on Computational Intelligence and Communication Networks, pp. 813-818, Nov. 14-16, 2014   (Scopus indexed)
• 24Priyanka Varshney, Atul Bansal, Omar Farooq, “Phoneme Confusability Reduction by Using Visual Information in Noisy Environment,” Proceedings of IEEE International Conference on Signal Propagation and Computer Technology, pp. 476-481, 2014 (Scopus indexed)
• 25Bansal, A., Agarwal, R., Sharma, R.K., “SVM Based Gender Classification using Iris Images” Proceedings of 4th IEEE, International Conference on Computational Intelligence and Communication Networks, 2012, CICN’12, G.L.A. University, Mathura, pp.425-429, 3rd-5th November, 2012   (Scopus indexed)
• 26Bansal, A., Agarwal, R., Sharma, R.K., “FAR and FRR based Analysis of Iris Recognition System” Proceedings of IEEE, International Conference on Signal Processing, Computing and Control, 2012, ISPCC’12, Jaypee University of Information Technology, Waknaghat, pp. 1-6, 15th-17th March, 2012     (Scopus indexed)
• 27Bansal, A., Agarwal, R., Sharma, R.K., “Trends in Iris recognition algorithms” Proceedings of IEEE, 4th  Asia International Conference on mathematical modeling & simulation, 2010, AMS’10, Kota Kinnabalu, pp. 337-340, 26th-28th May, 2010                     (Scopus indexed)
• 28Atul Bansal; Rochak Bajpai; J.P. Saini, “Simulation of Image Enhancement Techniques Using MatLAB” Proceedings of IEEE First Asia International Conference on modeling & simulation, 2007, AMS’07, Phuket, Thailand, 27th-31st March,2007, pp. 296-301          (Scopus indexed)
• 29Bansal A., Chatterjee J.K., Sarkar D., “Performance Evaluation of Synchronous Impedance Controller based Self Excited Induction Generator System” Proceedings of IEEE Power India Conference, 10th-12th April, 2006, pp. 757-762. (Scopus indexed)