Zakir Hussain, Malaya Dutta Borah, Rohit Beniwal. (2024). Device to analyze the impact of nutritional status on the cognitive development of child. Application number: 423190-001, The Patent Office, Govt. of India. Status: Design Accepted and Published, Journal No is 36/2024 and Journal Date is 06/09/2024. https://search.ipindia.gov.in/DesignApplicationStatus/
Zakir Hussain, Malaya Dutta Borah. (2022). Ein System zur Analyse der Auswirkungen des Geburtsgewichts auf krankheitsspezifische Folgen des Ernährungszustands (English translation: A system for analyzing the effects of birth weight on disease-specific nutritional status outcomes), Patent file no.: 20 2022 101981.9, German Patent and Trade Mark Office, https://register.dpma.de/DPMAregister/pat/register?AKZ=2020221019819
Zakir Hussain, Malaya Dutta Borah. (2025). A Neural Network Integrated Mathematical Model to Analyse the Impact of Nutritional Status on Cognitive Development of Child. Computers in Biology and Medicine, Elsevier, Vol. 185, pp. 109490, Print ISSN: 0010-4825 Online ISSN: 1879-0534. https://doi.org/10.1016/j.compbiomed.2024.109490. [Published, SCIE, IF: 6.3]
Zakir Hussain, Malaya Dutta Borah. (2024). A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery. Health Information Science and Systems, Springer, Vol. 12 (1), Article No. 10, Electronic ISSN 2047-2501. https://doi.org/10.1007/s13755-024-00272-z. [Published, SCIE, IF: 3.4]
Zakir Hussain, Malaya Dutta Borah, Rezaul Karim Ahmed. (2024). Computational methods for studying relationship between nutritional status and respiratory viral diseases: a systematic review. Artificial Intelligence Review, Springer, Vol. 57(1), Article No. 3, Electronic ISSN 1573-7462 Print ISSN 0269-2821. https://doi.org/10.1007/s10462-023-10627-9. [Published, SCI, Q1, IF: 13.9]
Zakir Hussain, Malaya Dutta Borah. (2022). NICOV : a model to analyse impact of nutritional status and immunity on COVID-19. Medical & Biological Engineering & Computing, Springer, Vol. 60(5), pp. 1481–1496, Electronic ISSN 1741-0444 Print ISSN 0140-0118. https://doi.org/10.1007/s11517-022-02545-9 [Published, SCI, Q2, IF: 2.6]
Zakir Hussain, Malaya Dutta Borah. (2020). Birth weight prediction of new born baby with application of machine learning techniques on features of mother, Journal of Statistics and Management Systems, Taylor & Francis, Vol. 23(6), pp. 1079-1091, Print ISSN: 0972-0510 Online ISSN: 2169-0014, DOI: https://doi.org/10.1080/09720510.2020.1814499 [Published, ESCI]
Zakir Hussain, Rezaul Karim Ahmed, Malaya Dutta Borah. (2023). A Computational Aspect to Analyse Impact of Nutritional Status on the Performance of Anaesthesia on Surgical Patients. Procedia Computer Science, Elsevier, Vol. 218, pp. 514-523, Online ISSN: 1877-0509, (2023). DOI: https://doi.org/10.1016/j.procs.2023.01.033 [Published, SCOPUS]
Zakir Hussain, Malaya Dutta Borah, Abdul Hannan. (2019). N-gram Based Machine Translation for English-Assamese: Two Languages with High Syntactical Dissimilarity”, International Journal of Engineering and Advanced Technology, 2019, Online ISSN: 2249-8958, Vol 9(2), pp. 2940-2949, DOI: https://doi.org/10.35940/ijeat.B2320.129219 [Published, SCOPUS (in 2019)]
Abdul Hannan, Shikhar Kr. Sarma, Zakir Hussain. (2019). Marie: A Statistical Approach to Build a Machine Translation System for English Assamese Language Pair. International Journal of Computer Sciences and Engineering, Vol. 7(3), pp. 774-779, Online ISSN 2347-2693, https://doi.org/10.26438/ijcse/v7i3.774779 [Published, ESCI (in process), ICI, UGC Recognised in 2019]
Zakir Hussain, Malaya Dutta Borah, Rezaul Karim Ahmed. (2024). A Computational Aspect to Analyse Impact of Nutritional Status on the Development of Cardiovascular Diseases. In: Gabbouj, M., Pandey, S.S., Garg, H.K., Hazra, R. (eds) Emerging Electronics and Automation. E2A 2022. Lecture Notes in Electrical Engineering, vol 1088, pp 589–601. Springer, Singapore. Print ISBN 978-981-99-6854-1 Online ISBN 978-981-99-6855-8. https://doi.org/10.1007/978-981-99-6855-8_45 [Published, SCOPUS]
Zakir Hussain, Malaya Dutta Borah. (2022) "A Computational Aspect to Analyse Impact of Nutritional Status on Drug Resistance," 2022 IEEE Silchar Subsection Conference (SILCON), Silchar, India, pp. 1-6, Electronic ISBN:978-1-6654-7100-8 Print on Demand(PoD) ISBN:978-1-6654-7101-5, doi: https://doi.org/10.1109/SILCON55242.2022.10028912 [Published, IEEE Xplore, SCOPUS]
Zakir Hussain, Malaya Dutta Borah. (2020). Nutritional Status Prediction in Neonate Using Machine Learning Techniques: A Comparative Study. In: Bhattacharjee, A., Borgohain, S., Soni, B., Verma, G., Gao, XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1241, pp 69–83. Print ISBN 978-981-15-6317-1 Online ISBN 978-981-15-6318-8, Springer, Singapore. https://doi.org/10.1007/978-981-15-6318-8_7 [Published, SCOPUS]
Ashmita Roy Medha, Malaya Dutta Borah, Zakir Hussain. (2022). States Categorization in India Based on Health Security Capacity with Machine Learning Technique. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2020. Lecture Notes in Electrical Engineering, vol 783, pp 415–429. Print ISBN 978-981-16-3689-9 Online ISBN 978-981-16-3690-5, Springer, Singapore. https://doi.org/10.1007/978-981-16-3690-5_36 [Published, SCOPUS]
Abhijnyan Chandra, Arif Ahmed, Sandeep Kumar, Prateek Chand, Malaya Dutta Borah, Zakir Hussain, (2022). Content-Based Recommender System for Similar Products in E-Commerce. In: Patgiri, R., Bandyopadhyay, S., Borah, M.D., Emilia Balas, V. (eds) Edge Analytics. Lecture Notes in Electrical Engineering, vol 869, pp 617–628. Print ISBN 978-981-19-0018-1 Online ISBN 978-981-19-0019-8, Springer, Singapore. https://doi.org/10.1007/978-981-19-0019-8_46 [Published, SCOPUS]
Agya Pathak, Sameer Shrivastava, Palempati Harsha Vardhini, Abhinay Meka, Divesh Swami, Zakir Hussain, Malaya Dutta Borah. "Blockchain Technology in Pharmaceutical Supply Chain Management," 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN), Al-Khobar, Saudi Arabia, 2022, pp. 723-727, IEEE. Electronic ISBN:978-1-6654-8771-9 Print on Demand(PoD) ISBN:978-1-6654-8772-6, Electronic ISSN: 2472-7555 Print on Demand(PoD) ISSN: 2375-8244, doi: https://doi.org/10.1109/CICN56167.2022.10008335 [Published, IEEE Xplore, SCOPUS]
Saranga Pani Nath, Manditjyoti Borah, Debojit Das, Nilam Kumar Kalita, Zakir Hussain, Malaya Dutta Borah. (2024). Facial Recognition-Based Automatic Attendance Management System Using Deep Learning. In: Borah, M.D., Laiphrakpam, D.S., Auluck, N., Balas, V.E. (eds) Big Data, Machine Learning, and Applications. BigDML 2021. Lecture Notes in Electrical Engineering, vol 1053, pp 545–554 . Print ISBN 978-981-99-3480-5 Online ISBN 978-981-99-3481-2, Springer, Singapore. https://doi.org/10.1007/978-981-99-3481-2_41 [Published, SCOPUS]
Zakir Hussain, Malaya Dutta Borah. (2024). Chapter Seven - Genetic algorithm for the optimization of infectiological parameter values under different nutritional status, Editor(s): Anupam Biswas, Alberto Paolo Tonda, Ripon Patgiri, Krishn Kumar Mishra, Applications of Nature-Inspired Computing and Optimization Techniques, Part of Advances in Computers, Elsevier, Volume 135, Pages 155-178, ISSN 0065-2458, ISBN 978-0-323-95768-7, https://doi.org/10.1016/bs.adcom.2023.12.001 [Published, SCI, Q1, IF: 2.7]
Zakir Hussain, Malaya Dutta Borah. (2022). Predicting Mental Health and Nutritional Status from Social Media Profile Using Deep Learning. In: Hong, TP., Serrano-Estrada, L., Saxena, A., Biswas, A. (eds) Deep Learning for Social Media Data Analytics. Studies in Big Data, vol 113, pp 177–193. Print ISBN 978-3-031-10868-6 Online ISBN 978-3-031-10869-3, Springer, Cham. https://doi.org/10.1007/978-3-031-10869-3_10 [Published, SCOPUS]
Zakir Hussain, Malaya Dutta Borah. (2021). Forecasting Probable Spread Estimation of COVID-19 Using Exponential Smoothing Technique and Basic Reproduction Number in Indian Context. In: Patgiri, R., Biswas, A., Roy, P. (eds) Health Informatics: A Computational Perspective in Healthcare. Studies in Computational Intelligence, vol 932, pp 183–196. Print ISBN 978-981-15-9734-3 Online ISBN 978-981-15-9735-0, Springer, Singapore. https://doi.org/10.1007/978-981-15-9735-0_10 [Published, SCI]
Zakir Hussain and Malaya Dutta Borah, Drug Induced Malnutrition Prediction using Deep Learning, Accepted for the edited book- Advances in Deep Learning for Biomedical Engineering and to be published at Advances in Computer Vision and Pattern Recognition, Springer book series. [Accepted, SCOPUS]
Zakir Hussain and Malaya Dutta Borah, Malnutrition Induced Disease Prediction using Deep Learning, Accepted for the edited book- Deep Learning in Health Informatics: Theory, Practice and Applications, Springer, 2022. [Accepted, SCI]
Amitabh Biswal, Malaya Dutta Borah, Zakir Hussain. (2021) Chapter Eleven - Music recommender system using restricted Boltzmann machine with implicit feedback, Editor(s): Shiho Kim, Ganesh Chandra Deka, Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Part of Advances in Computers, Elsevier, Volume 122, Pages 367-402, ISSN 0065-2458, ISBN 978-0-12-823123-4, https://doi.org/10.1016/bs.adcom.2021.01.001 [Published, SCI, Q1, IF: 2.7]
Zakir Hussain, Malaya Dutta Borah, September 3, 2022, "Child Birth Weight Dataset", IEEE Dataport, doi: https://dx.doi.org/10.21227/dvd4-3232