Welcome to Hemvati Nandan Bahuguna Garhwal University

Department of Computer Science and Engineering

                                                                                       हेमवती नंदन बहुगुणा गढ़वाल विश्वविद्यालय(केंद्रीय विश्वविद्यालय)

                                                               HEMVATI NANDAN BAHUGUNA GARHWAL UNIVERSITY( A Central University )

Research

                                                      LIST OF PAPERS

Prof. MMS Rauthan

  1. Panwar, N., Negi, S., Rauthan, M. M. S., & Vaisla, K. S. (2019). TOPSIS–PSO inspired non-preemptive tasks scheduling algorithm in cloud environment. Cluster Computing, 22(4), 1379-1396.
  2. Negi, S., Rauthan, M. M. S., Vaisla, K. S., & Panwar, N. (2021). CMODLB: an efficient load balancing approach in cloud computing environment. The Journal of Supercomputing, 77, 8787-8839.
  3. Barthwal, V., & Rauthan, M. M. S. (2021). AntPu: a meta-heuristic approach for energy-efficient and SLA aware management of virtual machines in cloud computing. Memetic Computing, 13, 91-110.
  4. Sissodia, R., Rauthan, M. M. S., & Naithani, K. (2022). A Survey on Multi-Objective Tasks and Workflow Scheduling Algorithms in Cloud Computing. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-16.
  5. Negi, S., Panwar, N., Vaisla, K. S., & Rauthan, M. M. S. (2020). Artificial neural network based load balancing in cloud environment. In Advances in Data and Information Sciences: Proceedings of ICDIS 2019 (pp. 203-215). Springer Singapore.
  6. Panwar, S. S., Rauthan, M. M. S., & Barthwal, V. (2022). A systematic review on effective energy utilization management strategies in cloud data centers. Journal of Cloud Computing, 11(1), 1-29.
  7. Panwar, S. S., Rauthan, M. M. S., & Barthwal, V. (2022). A systematic review on effective energy utilization management strategies in cloud data centers. Journal of Cloud Computing, 11(1), 1-29.
  8. Panwar, N., Negi, S., & Rauthan, M. M. S. (2018). Non-live task migration approach for scheduling in Cloud based applications. In Smart and Innovative Trends in Next Generation Computing Technologies: Third International Conference, NGCT 2017, Dehradun, India, October 30-31, 2017, Revised Selected Papers, Part II 3 (pp. 124-137). Springer Singapore.
  9. Negi, Pritam Singh, M. M. S. Rauthan, and H. Dhami. "Text Summarization for Information Retrieval using Pattern Recognition Techniques." International Journal of Computer Applications 21, no. 10 (2011): 20-24.
  10. Negi, Pritam Singh, M. M. S. Rauthan, and H. S. Dhami. "Sentence boundary disambiguation: a user friendly approach." International Journal of Computer Applications 7, no. 8 (2010): 33-37.
  11. Sissodia, R., Rauthan, M. S., & Barthwal, V. (2022). A Multi-Objective Optimization Scheduling Method Based on the Genetic Algorithm in Cloud Computing. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-21.
  12. Negi, S., Panwar, N., Rauthan, M. M. S., & Vaisla, K. S. (2021). Novel hybrid ANN and clustering inspired load balancing algorithm in cloud environment. Applied Soft Computing, 113, 107963.
  13. Barthwal, V., Rauthan, M. M. S., & Verma, R. (2019, March). Virtual Machines Placement Using Predicted Utilization of Physical Machine in Cloud Datacenter. In International Conference on Advances in Engineering Science Management & Technology (ICAESMT)-2019, Uttaranchal University, Dehradun, India.
  14. Barthwal, V., Rauthan, M. M. S., & Varma, R. (2020). A survey on application of machine learning to manage the virtual machines in cloud computing. International Review of Applied Sciences and Engineering, 11(3), 197-208.
  15. Lakhera, M., Rauthan, M. M. S., & Agarwal, A. (2016, October). Securing biometric template using double hill cipher with self-invertible key and random permutation of pixels locations. In 2016 2nd International Conference on Next Generation Computing Technologies (NGCT) (pp. 814-817). IEEE.
  16. Panwar, P., Verma, R., Rauthan, M. M. S., & Barthwal, V. (2021). An Overview on Security Issues, Attacks, Challenges and Protocols in WSN. Proceedings of Integrated Intelligence Enable Networks and Computing: IIENC 2020, 269-278.
  17. Verma, R., Rauthan, M. M. S., & Vaisla, K. S. (2017, November). A comparative analysis of multicast routing protocols in VANET for smart city scenario. In 2017 International Conference on Inventive Computing and Informatics (ICICI) (pp. 810-814). IEEE.
  18. Negi, P. S., Rauthan, M. M. S., & Dhami, H. S. (2010). Language model for information retrieval. International Journal of Computer Applications, 12(7), 13-17.
  19. Maurya, S., Rauthan, M. M. S., & Verma, R. (2022, April). Security Aspects of the Internet of Drones (IoD). In 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) (pp. 1-6). IEEE.
  20. Panwar, S. S., Rauthan, M. M. S., & Barthwal, V. (2022, November). Energy Consumption Analysis of Various Dynamic Virtual Machine Consolidation Techniques in Cloud Data Center. In 2022 International Conference on Advances in Computing, Communication and Materials (ICACCM) (pp. 1-8). IEEE.
  21. Rauthan, M. M. S., Negi, P. S., & Dhami, H. S. (2010). Computer Program for Modeling the Patterns of Parts of Speech. International Journal of Computer Applications, 975, 8887.
  22. Negi, S., Rauthan, M. M. S., Vaisla, K. S., & Panwar, N. (2021). Efficient Load Optimization Method Using VM Migration in Cloud Environment. In Proceedings of International Conference on Machine Intelligence and Data Science Applications: MIDAS 2020 (pp. 83-97). Springer Singapore.
  23. Sissodia, R., Rauthan, M. S., & Barthwal, V. (2022). A Multi-Objective Adaptive Upper Threshold Approach for Overloaded Host Detection in Cloud Computing. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-14.
  24. Barthwal, V., Rauthan, M. M. S., & Varma, R. (2021). AntVMp: An Approach for Energy-Efficient Placement of Virtual Machines Using Max–Min Ant System. In Proceedings of International Conference on Machine Intelligence and Data Science Applications: MIDAS 2020 (pp. 153-161). Springer Singapore.
  25. Rana, P., Varma, R., Rauthan, M. M. S., & Barthwal, V. (2021). BEENISH: Balanced Energy-Efficient Network-Integrated Super Heterogeneous Protocol for Wireless Sensor Networks. In Proceedings of Integrated Intelligence Enable Networks and Computing: IIENC 2020 (pp. 279-286). Springer Singapore.
  26. Maurya, S., Rauthan, M. M. S., Verma, R., & Ahmad, R. B. (2022, December). Blockchain based Secure System for the Internet of Drones (IoD). In 2022 6th International Conference on Electronics, Communication and Aerospace Technology (pp. 727-735). IEEE.
  27. Lakhera, M., Rauthan, M. M. S., & Agarwal, A. (2016, September). An Efficient Cryptographic Algorithm for Securing Biometric Template Using AES and Scrambling the Pixels of Row and Column. In 2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE) (pp. 228-231). IEEE.
  28. Bhardwaj, C., Rauthan, M. M. S., & Verma, M. R. (2022). HYBRID LOAD BALANCING ALGORITHM IN CLOUD COMPUTING. Journal of East China University of Science and Technology, 65(3), 1027-1037.
  29. Dobhal, K., Varma, R., Barthwal, V., & Rauthan, M. M. S. (2020). The Relative performance of Security protocols and attacks in Wireless Sensor Network.
  30. Verma, R., Vaisla, K. S., Rauthan, M., & Barthwal, V. (2019, March). An Efficient Junction-based Routing Table Maintenance protocol for Vehicular Ad-hoc Networks. In International Conference on Advances in Engineering Science Management & Technology (ICAESMT)-2019, Uttaranchal University, Dehradun, India.
  31. Shah, S. S., Barthwal, V., Rauthan, M. M. S., & Verma, R. Systematic Review On Vm Scheduling Algorithms.
  32. Kumar, P., Rauthan, M. M. S., & Kapoor, V. Efficient Data Integrity Algorithm for Outsourced Data in Cloud Environment.
  33. Lakhera, M., & Rauthan, M. M. S. Securing Biomtric Template Over Non-Secure Channel using Cryptography and Helping Data.
  34. Gupta, N., Vaisla, K. S., Kumar, R., & Rauthan, M. M. S. Review of Energy Aware Routing Protocols for Wireless Sensor Networks.
  35. Thapliyal, M. P., & Rauthan, M. M. (2002). LearnNet: VSAT-based interactive distance learning network to upgrade distance education in India. TelE-Learning: The Challenge for the Third Millennium, 345-348.
  36. Rauthan, M. M. S., & Negi, P. S. (2012). Pattern Recognition System for Translating the English Sentence into Hindi. International Journal of Computer Applications, 975, 8887.
  37. Rauthan, M. M. S., Khulbe, S., & Dhami, H. S. (2012). Correction of Verbs in English Corpus by using the Concept of AI. International Journal of Computer Applications, 975, 8887.


Prof. Y.P. Raiwani

  1. Raiwani, Y. P. (2013). Internet of things: a new paradigm. International Journal of Scientific and Research Publications, 3(4), 323-326.
  2. Singh Panwar, S., Raiwani, Y. P., & Panwar, L. S. (2019, March). Evaluation of network intrusion detection with features selection and machine learning algorithms on CICIDS-2017 dataset. In International Conference on Advances in Engineering Science Management & Technology (ICAESMT)-2019, Uttaranchal University, Dehradun, India.
  3. Painuli, C. P., Bhatt, R. M., Raiwani, Y. P., Srivastava, S., Gairola, S. C., Gairola, R. P., ... & Tiwari, M. D. (2004). Electronic heat capacity of crystalline solids.
  4. Panwar, S. S., Negi, P. S., Panwar, L. S., & Raiwani, Y. P. (2019). Implementation of machine learning algorithms on CICIDS-2017 dataset for intrusion detection using WEKA. International Journal of Recent Technology and Engineering Regular Issue, 8(3), 2195-2207.
  5. Naithani, K., & Raiwani, Y. P. (2022). Realization of natural language processing and machine learning approaches for text‐based sentiment analysis. Expert Systems, e13114.
  6. Panwar, S. S., & Raiwani, Y. P. (2014). Data reduction techniques to analyze NSL-KDD Dataset. Int. J. Comput. Eng. Technol, 5(10), 21-31.
  7. Panwar, S. S., & Raiwani, Y. P. (2020). Performance analysis of NSL-KDD dataset using classification algorithms with different feature selection algorithms and supervised filter discretization. In Intelligent Communication, Control and Devices: Proceedings of ICICCD 2018 (pp. 497-511). Springer Singapore.
  8. Kharakwal, K., Raiwani, Y. P., & Verma, R. (2023, January). A Review on Skin Pigment and Vein Pattern Detection Techniques. In Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19–20, 2023, Proceedings, Part II (pp. 53-67). Cham: Springer Nature Switzerland.
  9. Raiwani, Y. P. (2012). Network management, security & privacy issues in e-commerce. Journal of Information and Operations Management, 3(1), 217.
  10. Naithani, K., Raiwani, Y. P., & Sissodia, R. (2022, January). Text-based analysis of COVID-19 comments using natural language processing. In Artificial Intelligence and Speech Technology: Third International Conference, AIST 2021, Delhi, India, November 12–13, 2021, Revised Selected Papers (pp. 195-209). Cham: Springer International Publishing.
  11. Panwar, S. S., Raiwani, Y. P., & Panwar, L. S. (2022, November). An Intrusion Detection Model for CICIDS-2017 Dataset Using Machine Learning Algorithms. In 2022 International Conference on Advances in Computing, Communication and Materials (ICACCM) (pp. 1-10). IEEE.
  12. Srivastava, S., Raiwani, Y. P., Gairola, S. C., & Indu, B. D. (1996). Electrons in anharmonic phonon fields of low-dimensional high-Tc superconductors. Physica B: Condensed Matter, 223, 538-540.
  13. Naithani, K., & Raiwani, Y. P. (2023, January). Novel ABC: Aspect Based Classification of Sentiments Using Text Mining for COVID-19 Comments. In Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19–20, 2023, Proceedings, Part I (pp. 203-219). Cham: Springer Nature Switzerland.
  14. Bahuguna, S., & Raiwani, Y. P. (2013). Study of Speaker's Emotion Identification for Hindi Speech. International Journal on Computer Science and Engineering, 5(7), 596.
  15. Panwar, S. S., & Raiwani, Y. P. (2020). Improving the Performance of Classification Algorithms with Supervised Filter Discretization Using WEKA on NSL-KDD Dataset. In Advances in Air Pollution Profiling and Control: Select Proceedings of HSFEA 2018 (pp. 217-227). Springer Singapore.
  16. Bahuguna, S., & Raiwani, Y. P. (2016). A study of speech emotion and speaker identification system using VQ and GMM. Int. J. Comput. Sci, (13), 4.
  17. Sati, S. P., & Raiwani, Y. P. (2016). Response of himalayan eco-system to anticipate climate change. Journal of Climate Change, 2(2), 71-82.
  18. Raiwani, Y. P., & Baluni, P. (2015). Study of road accident patterns in Uttrakhand using k-means algorithm. IJAIEM.
  19. Chauhan, S. P., Raiwani, Y. P., & Verma, M. R. (2022). USING MACHINE LEARNING TO DETECT FAKE NEWS: A COMPREHENSIVE SEARCH. Journal of East China University of Science and Technology, 65(4), 71-74.
  20. Naithani, K., & Raiwani, Y. P. Polarity and Subjectivity Analysis for Social Media Sentiments Amidst COVID-19. Available at SSRN 4173709.
  21. Raiwani, Y. P. Hazards and the Security with respect to the Physical Layer in Common Networks.
  22. Baluni, P., Verma, S. K., & Raiwani, Y. P. (2017). Automatic Face Naming Using Image Processing: A Review Study Based on Face Name Detection in Images or Videos. In Advances in Computing and Data Sciences: First International Conference, ICACDS 2016, Ghaziabad, India, November 11-12, 2016, Revised Selected Papers 1 (pp. 357-368). Springer Singapore.
  23. Raiwani, Y. P., & Panwar, S. S. (2014). Research challenges and performance of clustering techniques to analyze NSL-KDD dataset. Int. J. Emerg. Trends Technol. Comput. Sci.(IJETTCS), 3(6), 172-177.
  24. Bahuguna, S., & Raiwani, Y. P. (2013). A Study of Acoustic Features Pattern of Emotion Expression for Hindi Speech. International Journal of Computer Engineering & Technology (IJCET), 4(6), 16-24.
  25. Raiwani, Y. P., & Baluni, P. (2014). Extraction of Road Accident Patterns in Uttarakhand Using Neural Network. International Journal of Civil Engineering and Technology, 5(8).
  26. Panwar, S. S., & Raiwani, Y. P. Improving Classification Performance with Supervised Filter Discretization Shailesh Singh Panwar Ph.
  27. Raiwani, Y. P., Bhatt, R. M., & Gairola, A. Impact of Modeling and Simulation for Conductivity Measurements.
  28. Baluni, P., & Raiwani, Y. P. (2014). Vehicular accident analysis using neural network. International Journal of Emerging Technology and Advanced Engineering, 4(9), 161-164.
  29. Raiwani, Y. P., & Panwar, S. S. (2015). Data reduction and neural networking algorithms to improve intrusion detection system with NSL-KDD dataset. International Journal of Emerging Trends & Technology in Computer Science, 4(1), 219-225.
  30. Komal Manisha, Y.P. Raiwani, Jitendra Singh (2023). Neural Network Based Machine Learning Method for Predicting Solubility of Carbon Dioxide in Ionic Liquids, International Journal of Research and Analytical Reviews, 10(1), 849-876.

 

Prof. MP Thapliyal

  1. Kautish, S., & Thapliyal, M. P. (2013). Design of new architecture for model management systems using knowledge sharing concept. International Journal of Computer Applications, 62(11), 27-30.
  2. Rajput, I. S., Sharma, S. K., Aggarwal, A., & Thapliyal, M. P. (2012, December). An efficient parallel searching algorithm on Hypercube Interconnection network. In 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (pp. 101-106). IEEE.
  3. Thapliyal, M. P., & Dwivedi, P. (2010). Software process improvement in small and medium software organisations of India. International Journal of Computer Applications, 7(12), 37-39.
  4. Verma, K., Bartwal, A. S., & Thapliyal, M. P. (2021). A Genetic Algorithm based Hybrid Deep Learning Approach for Heart Disease Prediction.
  5. Joshi, K. C., & Thapliyal, M. P. (2011). WiMAX (Worldwide Interoperability for Microwave Access): A Broadband Wireless Product in Emerging Markets. International Journal of Computer Science Issues (IJCSI), 8(3), 588.
  6. Sharma, M. K., & Thapliyal, M. P. (2010). Concept of Computer and C Programming. Laxmi Publications, Ltd.
  7. Thapliyal, M. P. (2008). Challenges in Developing Citizen-Centric E-Governance in India. In International Congress on eGovernment (pp. 1-5).
  8. Anthwal, T., Chandola, A., & Thapliyal, M. P. (2018). Performance Analysis of ANN Model for Estimation of Trophic Status Index of Lakes. IAES International Journal of Artificial Intelligence, 7(1), 1.
  9. Sharma, S., & Thapliyal, M. P. (2011). QUALITY ESTIMATION ANALYSIS OF DATA TRAFFIC IN NETWORKS WITH CONTROLLABLE ARRIVALS. International Journal of Information Technology, 4(2), 347-349.
  10. Thapliyal, M. P., & Subramnian, K. (2002). Technology and Learning Societies in the New Millennium (Indian Context): Content, Practice and Management. Human Choice and Computers: Issues of Choice and Quality of Life in the Information Society, 253-263.
  11. Thapliyal, M. P., & Vashishta, P. (2012). ERP software implementation in indian small and medium enterprises. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 1(2), 107-111.
  12. Singh, A., Thapliyal, M. P., Rauthan, M. M. S., & Joshi, D. K. (2006). Enabling e-commerce in India.
  13. Thapliyal, M. P., & Subramanian, K. Scaling Up Information Technology for India in The New Millenium: Developing Technology Mindset.

 

Dr. Prem Nath

  1. Nath, Prem, and Chiranjeev Kumar. "Adaptive mobility anchor point to reduce regional registration and packets delivery costs." Computers & Electrical Engineering 40.4 (2014): 1329-1343.
  2. M. Singh, C. Kumar and P. Nath, "Challenges and Protocols for P2P applications in Multi-hop Wireless Networks," 2018 Second International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2018, pp. 310-316.
  3. Nath, P., & Kumar, C. (2012, November). User movement-based hierarchical mobility management scheme (UM-HMIP) for IP networks. In 2012 Third International Conference on Computer and Communication Technology (pp. 210-215). IEEE.
  4. Nath, P., & Kumar, C. (2014). Mobility agent based on activity rate of user and adaptive paging for location management in wireless networks. Transactions on Emerging Telecommunications Technologies, 25(7), 723-735.
  5. Singh, M., Kumar, C., & Nath, P. (2020). Finger forwarding scheme to reduce lookup cost in structured P2P networks. Wireless Personal Communications, 114, 2263-2281.
  6. Singh, M., Kumar, C. & Nath, P. Local P2P group (LPG) communication in structured mobile P2P networks. J Ambient Intell Human Comput 11, 3005–3019 (2020).
  7. Singh, S. K., Kumar, C., & Nath, P. (2019). Local contribution (LC) and trustworthiness factors to induce fairness in P2P networks. Wireless Personal Communications, 107, 303-323.
  8. Nath, P., & Yadav, R. K. (2012). Replication strategy using Huffman tree like structure. In Proc. of the Intl. Conf. on Advances in Electronics, Electrical and Computer Science Engineering—EEC.
  9. DWIVEDI, A., SINGH, A., NARESH, R., KUMAR, D., KISHORE, R., & NATH, P. Effect of planting geometry and nutrient management in maize+ mashbean inter-cropping system on growth, productivity, nutrient removal, quality and nodulation.
  10. Maheswari, A., Yadav, R. K., & Nath, P. (2022). Data congestion prediction in sensors based IoT network. Journal of Scientific & Industrial Research, 80(12), 1091-1095.
  11. Mishra, R. K., Yadav, R. K., & Nath, P. (2021, October). Blockchain-Based Decentralized Authorization Technique for Data Sharing in the Internet of Things. In 2021 5th International Conference on Information Systems and Computer Networks (ISCON) (pp. 1-6). IEEE.
  12. Singh, S. K., Kumar, C., & Nath, P. (2021). Analysis and modelling the effects of mobility, Churn rate, node’s life span, intermittent bandwidth and stabilization cost of finger table in structured mobile P2P networks. Wireless Networks, 27, 1049-1062.
  13. Singh, M., Kumar, C., & Nath, P. (2019). Mobility pattern based Chord (MP-Chord) for enhanced lookup performance in mobile P2P networks. Wireless Personal Communications, 109, 1971-1985.
  14. Nath, P., & Kumar, C. (2014). Mobility Management Scheme for Fixed Mobility Pattern Mobile Users in IPv4 Networks. The Computer Journal, 57(12), 1893-1911.
  15. Nath, P., & Kumar, C. (2013). User's Profile Replication Tree and On Demand Replica Update in Wireless Communication. International Journal of Computer Network and Information Security, 5(3), 63.
  16. Singh, S. K., Kumar, C., & Nath, P. (2022). Resource-Cardinality Based Scheme to Reduce Resource Lookup Cost in Structured P2P Networks. Wireless Personal Communications, 125(4), 3351-3377.
  17. Maheshwari, A., Yadav, R. K., & Nath, P. (2022). Data Congestion Control Using Offloading in IoT Network. Wireless Personal Communications, 125(3), 2147-2166.
  18. Singh, S. K., Kumar, C., & Nath, P. (2021, August). Replication Scheme for Structured P2P System Applications in Wireless Mesh Networks (WMNs). In 2021 Asian Conference on Innovation in Technology (ASIANCON) (pp. 1-7). IEEE.
  19. Singh, M., Kumar, C., & Nath, P. (2020, July). P2P Applications in 4G/5G Networks Using D2D Communication Based on Social Attributes of Users. In 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) (pp. 730-738). IEEE.
  20. Singh, S. K., Kumar, C., & Nath, P. (2019). Ranking Based System to Reduce Free Riding Behavior in P2P Systems. In Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference (FICC), Vol. 1 (pp. 165-177). Springer International Publishing.
  21. Diwakar, J. K., Mukesh, K., Prasad, K. M., Prem, N., & Pawan, K. (2016). Effect of organic and inorganic fertilizers and scheduling of nitrogen in basmati rice (Oryza sativa L.). Environment and Ecology, 34(3), 913-916.
  22. Nath, P. (2016). Context-Sensitive Grammars and Linear-Bounded Automata. International Journal of Computer Network and Information Security, 8(1), 61.
  23. Nath, P., & Kumar, C. (2015). Location Management in IPv4 Networks for Fixed Mobility Pattern Users. Wireless Personal Communications, 85, 987-1008.
  24. Verma, J. K., Prem, N., Harinarayan, B., Yadav, K. K., & Singh, S. K. (2014). Effect of weed control measures on the growth and yield of wheat, Triticum estivum Linn. Uttar Pradesh Journal of Zoology, 34(3), 225-230.
  25. Nath, P., & Kumar, C. (2013). Hybrid Scheme with Adaptive Replication and Mobility Anchoring Point (MAP) in Wireless Networks. Wireless personal communications, 72, 597-621.
  26. Prem, N., Jai, D., Amar, N., Shiv, N., & Rajesh, K. (2013). Response of chickpea (Cicer arietinum L.) to phosphorus and weed control measures on yield and quality. Annals of Biology, 29(3), 340-345.
  27. Nath, P., & Kumar, C. (2012, October). Adaptive hierarchical mobility management scheme (A-HMIP) for IP networks. In 2012 International Symposium on Communications and Information Technologies (ISCIT) (pp. 331-336). IEEE.
  28. Nath, P., & Kumar, C. (2012). MOBILITY MANAGEMENT USING PROFILE REPLICATION BASED ON TOTAL NETWORK TRAFFIC STATISTIC DATA. Journal of Information Systems and Communication, 3(1), 353.
  29. Singh, M. K., & Nath, P. (2005). Effect of organic manuring and sowing date of late sown mustard on the incidence of mustard aphid infesting mustard crop in eastern Uttar Pradesh (India). INDIAN JOURNAL OF ENTOMOLOGY, 67(3), 218.
  30. Singh, M. K., & Nath, P. (2005). Effect of organic manuring and sowing date of late sown mustard on the incidence of mustard aphid infesting mustard crop in eastern Uttar Pradesh (India). INDIAN JOURNAL OF ENTOMOLOGY, 67(3), 218.

 

 

Dr. Pritam Singh Negi

 

  1. Rauthan, M. M. S., & Negi, P. S. (2012). Pattern Recognition System for Translating the EnglishSentence into Hindi. International Journal of Computer Applications, 975, 8887
  2. Negi.V, Negi,P.S. & Pandey,A.C (2011) Impact of Information Technology on Learning, Teaching and Human Resource Management in Educational Sector. International Journal of Computer Science and Telecommunications,Vol 2,Issue 4,66-72.
  3. Negi.P.S.,Rauthan.M.M.S and Dhami,H.S, Text Summarization for Information Retrieval using

Pattern Recognition Techniques, International Journal of Computer Applications (0975 – 8887),vol-21,20-24,2011.

  1. Negi.P.S.,Rauthan.M.M.S and Dhami,H.S, Language Model for Information Retrieval, International Journal of Computer Applications (0975 – 8887),vol-12,13-17,2010.
  2. Negi.P.S.,Rauthan.M.M.S and Dhami,H.S, Sentence Boundary Disambiguation: A User Friendly

Approach, International Journal of Computer Applications (0975 – 8887),vol-07,33-37,2010.

  1. Rauthan, M. M. S., & Negi, P. S. (2012). Computer Program for Modeling the Patterns of

Parts of Speech. International Journal of Computer Applications, Vol-7,1-4,2010.

  1. Panwar, S. S., Negi, P. S., Panwar, L. S., & Raiwani, Y. P. (2019). Implementation of machine learning algorithms on CICIDS-2017 dataset for intrusion detection using WEKA. International Journal of Recent Technology and Engineering Regular Issue, 8(3), 2195-2207.

 

Dr. Om Prakash

 

  1. Arati Kushwaha, Ashish Khare, Om Prakash, “Micro-network-based deep convolutional neural network for human activity recognition from realistic and multi-view visual data”, Neural Comput & Applic (2023), Springer (SCI)(https://doi.org/10.1007/s00521-023-08440-0)
  2. AKS Kushwaha, Om Pakash, M. Khare, J. Gwak, N.T. Binh, “Visual and Sensory Data Processing for Real Time Intelligent Surveillance System”, Multimed Tools Appl, vol.81, pp. 42097–42098 (2022), Springer (SCI)(https://doi.org/10.1007/s11042-022-14263-3)
  3. Arati Kushwaha, Ashish Khare, Om Prakash and Manish Khare, "Dense optical flow based background subtraction technique for object segmentation in moving camera environment", IET Image Processing, vol. 14, no. 14, pp. 3393-3404, December 2020, IET Publication. (SCI)(https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0960).
  4. Mounika B. Reddy, Om Prakash, Ashish Khare, “Keyframe extraction using Pearson correlation coefficient and color moments,”. Multimedia Systems vol. 26, pp.267–299 (2020), Springer. (SCI) (https://doi.org/10.1007/s00530-019-00642-8)
  5. Mounika B. Reddy, Om Prakash, Ashish Khare, “Video Superpixels Generation through Integration of Curvelet transform and Simple Linear Iterative Clustering", Multimedia Tools and Applications, vol. 78, pp. 25185–25219, March 2019, Springer. (SCI)(https://doi.org/10.1007/s11042-019-7554-z)
  6. Om Prakash, Chang Min Park, Ashish Khare, Moongu Jeon, Jeonghwan Gwak, “Multiscale Fusion of Multimodal Medical Images using Lifting Scheme based Biorthogonal Wavelet Transform,” Optik, vol. 182, pp.995-1014, April 2019, Elsevier (SCI) (https://www.sciencedirect.com/science/article/abs/pii/S0030402618319521)
  7. Manish Khare, Om Prakash and Rajneesh Kumar Srivastava, “Combining Zernike moment and Complex wavelet transform for Human object classification,” Int. J. Computational Vision and Robotics, vol.18, no.2, May 2018, pp.140-167, Inderscience Publishers. (Scopus)(https://www.inderscienceonline.com/doi/abs/10.1504/IJCVR.2018.091983)
  8. Om Prakash, Jeonghwan Gwak, Manish Khare, Ashish Khare, Moongu Jeon, “Human detection in complex real scenes based on combination of biorthogonal wavelet transform and Zernike moments,” Optik, vol. 157, pp. 1267-1281, March 2018, Elsevier. (SCI) (https://www.sciencedirect.com/science/article/abs/pii/S0030402617316868)
  9. Richa Srivastava, Om Prakash and Ashish Khare, “Local Energy based Multimodal Medical Image Fusion in Curvelet Domain,” IET Computer Vision, vol.10, issue 6, pp. 513-527, 2016. IET digital library.(SCI) (https://doi.org/10.1049/iet-cvi.2015.0251)
  10. Om Prakash and Ashish Khare, “Tracking of moving object using energy of Biorthogonal wavelet transform,” Chiang Mai Journal of Science, vol.42, no.3, pp. 783-795, July 2015, Chiang Mai University. (SCI)(https://thaiscience.info/Journals/Article/CMJS/10972713.pdf)
  11. Om Prakash and Ashish Khare, “Medical Image Denoising based on Soft thresholding using Biorthogonal Multiscale Wavelet Transform,” International Journal of Image and Graphics, vol. 14, no. 1 & 2, pp. 1450002 (30 pages), March 2014, World Scientific. (Scopus)(https://www.worldscientific.com/doi/abs/10.1142/S0219467814500028)
  12. Alok Kumar Singh Kushwaha, Chandra Mani Sharma, Manish Khare, Om Prakash and Ashish Khare, "Adaptive real-time motion segmentation technique based on statistical background model,” The Imaging Science Journal, vol. 62, no.5, pp. 285-302, 2014, Royal Photographic Society.(SCI)(https://doi.org/10.1179/1743131X13Y.0000000056)
  13. Rajiv Singh, Richa Srivastava, Om Prakash and Ashish Khare, "Multimodal medical image fusion in Dual tree complex wavelet domain using maximum and average fusion rules,” Journal of Medical Imaging and Health Informatics, vol. 2, no. 2, pp. 168-173, June 2012, American Scientific Publishers. (SCI)(https://doi.org/10.1166/jmihi.2012.1080)

 

 

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