[1] Broumi, S., Dey, A., Talea, M., Bakali, A., Smarandache, F., Nagarajan, D., ... & Kumar, R. (2019). Shortest path problem using Bellman algorithm under neutrosophic environment. Complex and intelligent systems, 5(4), 409-416.
[2] Kumar, R., Dey, A., Broumi, S., & Smarandache, F. (2020). A study of neutrosophic shortest path problem. In Neutrosophic graph theory and algorithms (pp. 148-179). IGI Global.
[3] Kumar, R., Edalatpanah, S. A., Jha, S., Broumi, S., Singh, R., & Dey, A. (2019). A multi objective programming approach to solve integer valued neutrosophic shortest path problems. Neutrosophic sets and systems, 24, 134-149. https://digitalrepository.unm.edu/nss_journal/vol24/iss1/13
[4] Kumar, R., Edalatpanah, S. A., Jha, S., & Singh, R. (2019). A novel approach to solve gaussian valued neutrosophic shortest path problems. International journal of engineering and advanced technology, 8(3), 347-353.
[5] Kumar, R., Edaltpanah, S. A., Jha, S., Broumi, S., & Dey, A. (2018). Neutrosophic shortest path problem. Neutrosophic sets and systems, 23, 5-15. https://digitalrepository.unm.edu/nss_journal/vol23/iss1/2
[6] Pratihar, J., Kumar, R., Dey, A., & Broumi, S. (2020). Transportation problem in neutrosophic environment. In Neutrosophic graph theory and algorithms (pp. 180-212). IGI Global.
[7] Kumar, R., Edalatpanah, S. A., Jha, S., & Singh, R. (2019). A Pythagorean fuzzy approach to the transportation problem.
Complex and intelligent systems,
5(2), 255-263.
https://doi.org/10.1007/s40747-019-0108-1
[8] Pratihar, J., Kumar, R., Edalatpanah, S. A., & Dey, A. (2020). Modified Vogel’s approximation method for transportation problem under uncertain environment.
Complex and intelligent systems 1-12.
https://doi.org/10.1007/s40747-020-00153-4
[9] Gayen, S., Jha, S., Singh, M., & Kumar, R. (2019). On a generalized notion of anti-fuzzy subgroup and some characterizations. International journal of engineering and advanced technology, 8, 385-390.
[10] Gayen, S., Smarandache, F., Jha, S., & Kumar, R. (2020). Interval-valued neutrosophic subgroup based on interval-valued triple t-norm. In Neutrosophic sets in decision analysis and operations research (pp. 215-243). IGI Global.
[11] Gayen, S., Smarandache, F., Jha, S., Singh, M. K., Broumi, S., & Kumar, R. (2020). Introduction to plithogenic subgroup. In Neutrosophic graph theory and algorithms (pp. 213-259). IGI Global.
[12] Gayen, S., Smarandache, F., Jha, S., Singh, M. K., Broumi, S., & Kumar, R. (2020). Soft subring theory under interval-valued neutrosophic environment.Neutrosophic sets and systems, 36, 193-214. https://digitalrepository.unm.edu/nss_journal/vol36/iss1/16
[13] Gayen, S., Smarandache, F., Jha, S., & Kumar, R. (2020). Introduction to interval-valued neutrosophic subring. Neutrosophic sets and systems, 36, 81-95. https://digitalrepository.unm.edu/nss_journal/vol36/iss1/7
[14] Gayen, S., Smarandache, F., Jha, S., Singh, M. K., Broumi, S., & Kumar, R. (2020). Introduction to plithogenic hypersoft subgroup. Neutrosophic sets and systems, 33, 208-233. https://digitalrepository.unm.edu/nss_journal/vol33/iss1/14
[15] Kumar, R., Edalatpanah, S. A., & Mohapatra, H. (2020). Note on “Optimal path selection approach for fuzzy reliable shortest path problem”. Journal of intelligent and fuzzy systems, (Preprint), 39 (5), 7653- 7656.
[16] Kumar, R., Jha, S., & Singh, R. (2020). A different approach for solving the shortest path problem under mixed fuzzy environment. International journal of fuzzy system applications (IJFSA), 9(2), 132-161.
[17] Kumar, R., Jha, S., & Singh, R. (2017). Shortest path problem in network with type-2 triangular fuzzy arc length. Journal of applied research on industrial engineering, 4(1), 1-7.
[18] Kumar, R., Edalatpanah, S. A., Jha, S., Gayen, S., & Singh, R. (2019). Shortest path problems using fuzzy weighted arc length. International journal of innovative technology and exploring engineering, 8(6), 724-731.
[19] Singh, A., Kumar, A., & Appadoo, S. S. (2019). A novel method for solving the fully neutrosophic linear programming problems: Suggested modifications. Journal of intelligent and fuzzy systems, 37(1), 885-895.
[20] Mohapatra, H., Panda, S., Rath, A., Edalatpanah, S., & Kumar, R. (2020). A tutorial on powershell pipeline and its loopholes. International journal of emerging trends in engineering research, 8(4), 975-982.
[21] Mohapatra, H., Rath, S., Panda, S., & Kumar, R. (2020). Handling of man-in-the-middle attack in WSN through intrusion detection system. International journal of emerging trends in engineering research, 8(5), 1503-1510.
[22] Mohapatra, H., Debnath, S., & Rath, A. K. (2019). Energy management in wireless sensor network through EB-LEACH. International journal of research and analytical reviews (IJRAR), 56-61.
[23] Mohapatra, H., Rath, A. K., Landge, P. B., & Bhise, D. (2020). A comparative analysis of clustering protocols of wireless sensor network. International journal of mechanical and production engineering research and development (IJMPERD) ISSN (P), 10(3), 8371-8386.
[24] Mohapatra, H., & Rath, A. K. (2020). Survey on fault tolerance-based clustering evolution in WSN. IET networks, 9(4), 145-155.
[25] Mohapatra, H., Debnath, S., Rath, A. K., Landge, P. B., Gayen, S., & Kumar, R. (2020). An efficient energy saving scheme through sorting technique for wireless sensor network. International journal of emerging trends in engineering research, 8(8), 4278-4286.
[26] Mohapatra, H., & Rath, A. K. (2020). Fault tolerance in wsn through uniform load distribution function. International journal of sensors, wireless communications and control, 10(1), 1-10.
[27] Mohapatra, H., & Rath, A. K. (2019). Fault tolerance through energy balanced cluster formation (EBCF) in WSN. In Smart innovations in communication and computational sciences (pp. 313-321). Springer, Singapore.
[28] Mohapatra, H., & Rath, A. K. (2019). Fault tolerance in WSN through PE-LEACH protocol. IET wireless sensor systems, 9(6), 358-365.
[29] Mohapatra, H. (2018). C programming: practice. Amazon.
[30] Mohapatra, H., & Rath, A. K. (2020). Fundamentals of software engineering: designed to provide an insight into the software engineering concepts. BPB Publications.
[31] Mohapatra, H. (2009). HCR by using neural network (PhD Desertion, a Constituent College of Biju Patnaik University of Technology, Odisha, Techno Capmus, Ghatikia, Kalinganagar, Bhubaneswar-751003, India).
[32] Panda, M., Pradhan, P., Mohapatra, H., & Barpanda, N. K. (2019). Fault tolerant routing in heterogeneous environment. International journal of scientific and technology research, 8, 1009-1013.
[33] Nirgude, V. N., Nirgude, V. N., Mahapatra, H., & Shivarkar, S. A. (2017). Face recognition system using principal component analysis & linear discriminant analysis method simultaneously with 3d morphable model and neural network BPNN method. Global journal of advanced engineering technologies and sciences, 4, 1-6.
[34] Mohapatra, H., & Rath, A. K. (2020, October). Nub less sensor based smart water tap for preventing water loss at public stand posts. 2020 IEEE microwave theory and techniques in wireless communications (MTTW) (pp. 145-150). IEEE.
[35] Mohapatra, H., & Rath, A. K. (2020). IoT based smart water. In F. AI-Turjman & M. Imran (Eds.), IoT technologies in smart cities: from sensors to big data, security and trust (pp. 63-82).DOI: 10.1049/PBCE128E_ch3
[36] Mohapatra, H. (2020). Offline drone instrumentalized ambulance for emergency situations. International journal of robotics and automation (IJRA), 9(4), 251-255.
[37] Mohapatra, H., & Rath, A. K. (2019). Detection and avoidance of water loss through municipality taps in India by using smart taps and ICT. IET wireless sensor systems, 9(6), 447-457.
[38] Panda, H., mohapatra, H., & rath, A. K. (2020). WSN-based water channelization: an approach of smart water. In Smart cities—opportunities and challenges (pp. 157-166). Springer, Singapore.
[39] Umap, S., Surode, S., Kshirsagar, P., Binekar, M., & Nagpal, N. (2018). Smart menu ordering system in restaurant. IJSRST, 4(7).