Advancements in Digital Technologies: Exploring the Impact on Healthcare, Education, and Network Connectivity in the Era of 5G and IoT

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[106] V. Durga Prasad Jasti, Abu SarwarZamani, K. Arumugam, MohdNaved, HarikumarPallathadka, F. Sammy, AbhishekRaghuvanshi, KarthikeyanKaliyaperumal, "Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis", Security and Communication Networks, vol. 2022, Article ID 1918379, 7 pages, 2022. https://doi.org/10.1155/2022/1918379 (SCI Indexed)

[107] SushovanChaudhury, Alla Naveen Krishna, Suneet Gupta, K. SakthidasanSankaran, Samiullah Khan, KartikSau, AbhishekRaghuvanshi, F. Sammy, "Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer", Computational and Mathematical Methods in Medicine, vol. 2022, Article ID 6841334, 6 pages, 2022. https://doi.org/10.1155/2022/6841334 (SCI Indexed)

[108] Abu SarwarZamani, L. Anand, KantilalPitambarRane, P. Prabhu, Ahmed MateenButtar, HarikumarPallathadka, AbhishekRaghuvanshi, Betty Nokobi Dugbakie, "Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection", Journal of Food Quality, vol. 2022, Article ID 1598796, 7 pages, 2022. https://doi.org/10.1155/2022/1598796 (SCI Indexed)

[109] Abhishek Raghuvanshi, Umesh Kumar Singh, Khongdet Phasinam, Thanwamas kassanuk,‖ Internet of Things- Security Vulnerabilities and Countermeasures‖, ECS Transactions, 2022, Volume 107, Issue 1, pp. 15043-15053. (SCOPUS Indexed)

[110] Paricherla M, Ritonga M, Shinde SR, Chaudhari SM, Linur R, Raghuvanshi A. Machine learning techniques for accurate classification and detection of intrusions in computer network. Bulletin of Electrical Engineering and Informatics. 2023;12(4):2340-2347. doi:10.11591/eei.v12i4.4708 (SCOPUS Indexed)

[111] D. Teja Santosh, Nandula Anuradha, Madhavi Kolukuluri, Gupta, G., Mrunal Kishor Pathak, V. Gokula Krishnan, & Abhishek Raghuvanshi. (2024). Development of IoT based intelligent irrigation system using particle swarm optimization and XGBoost techniques. Bulletin of Electrical Engineering and Informatics, 13(3), 1927–1934. https://doi.org/10.11591/eei.v13i3.6332 ( Scopus Indexed)

[112] Raghuvanshi, U. K. Singh, and C. Joshi, “A review of various security and Privacy Innovations for IOT applications in Healthcare,” Advanced Healthcare Systems, pp. 43–58, Jan. 2022. doi:10.1002/9781119769293.ch4 ( Scopus Indexed)

[113] R. Veluri, Abhishek Raghuvanshi, "Learning analytics using deep learning techniques for efficiently managing educational institutes", Materials Today: Proceedings, vol. 51, pp. 2317-2320, 2022. Available: 10.1016/j.matpr.2021.11.416 (SCOPUS Indexed)

[114] Abhishek Raghuvanshi, Umesh Kumar Singh, Chirag joshi. A Review of Various Security and Privacy Innovations for IoT Applications in Healthcare. Advanced Healthcare Systems, 2022, pp.43-58. doi: 10.1002/9781119769293.ch4 (ESCI Indexed)

[115] Abhishek Raghuvanshi, Umesh Kumar Singh , Dr. Prashant Panse, Monika Saxena , ―A Taxonomy of Various Building Blocks of Internet of Things‖, International Journal of Future Generation Communication and Networking, 2020 Vol. 13, No. 4, pp. 4397–4404 (ESCI Indexed)

[116] Abhishek Raghuvanshi, Umesh Kumar Singh , Chetan Bulla , Dr. Monika Saxena, Kishori Abadar, “An Investigation on Detection of Vulnerabilities in Internet of Things”, European Journal of Molecular & Clinical Medicine , 2020, Volume 07, Issue 10, pp. 3289–3299 (Scopus Indexed)

[117] Abhishek Raghuvanshi, Dr. Umesh Kumar Singh, Prashant Panse, Monika Saxena, Ravi Kishore Veluri , ―Internet of Things: Taxonomy of Various Attacks‖, European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 3853-3864 (Scopus Indexed)

[118] Abhishek Raghuvanshi, Umesh Kumar Singh, ―Internet of Things for smart cities- security issues and challenges‖, Elsevier Materials Today , December 2020. https://doi.org/10.1016/j.matpr.2020.10.849 (Scopus Indexed)

[119] Abhishek Raghuvanshi, Umesh Kumar Singh et al, ―An Investigation of Various Applications and Related Security Challenges of Internet of Things‖, Elsevier Materials Today , 2020. https://doi.org/10.1016/j.matpr.2020.10.849 (Scopus Indexed)

[120] Pallathadka, H., Sajja, G. S., Mustafa, M., Kaliyaperumal, K., Patra, I., Ray, S., & Raghuvanshi, A. (2023). Machine learning in education, finance and management: Applications and future trends. AIP Conference Proceedings. doi:10.1063/5.0150535 ( Scopus Indexed)

[121] Shabana, Umesh Kumar Singh, Abhishek Raghuvanshi andVandana Rathore, “A Security Framework for Security Enhancement in EducationalInstitution Network”, in Proceedings of the International Analytics Conference 2023, Taylor and Francis, ISBN 9781032708324(Scopus Indexed)

[122] Abhishek Raghuvanshi et al, GFCNN- Gaussian Filter and Convolutional Neural Network Based Framework for Accurate Detection of Brain Tumor by Analyzing MRI Images, Bulletin of Electrical Engineering and Informatics, Accepted For Publication ( Scopus Indexed)

[123] Abhishek Raghuvanshi et al ,ADAPTIVE INTRUSION DETECTION SYSTEM TOWARDS SECURE INTERNET OF THINGS ENABLED INTELLIGENT HEALTHCARE INDUSTRY, Hybrid Intelligent Systems - 23rd International Conference on Hybrid Intelligent Systems (HIS 2023), December 11-13, 2023, Volume 3, Springer, Springer Nature Switzerland ( Accepted for Publication) ( Scopus Indexed)

[124] Abhishek Raghuvanshi et al ,IMPLEMENTING A DEEP LEARNING APPROACH FOR FORECASTING STUDENT ACEDEMIC PERFORMANCE, Innovations in Bio-Inspired Computing and Applications - Proceedings of the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) held during December 14-15, 2023, Volume 2, Springer Nature Switzerland( Accepted for Publication) ( Scopus Indexed)

[125] Abhishek Raghuvanshi et al , Design of automated smart attendance system using deep learning based face recognition9th International Conference on Science, Technology, Engineering, and Mathematics (ICONSTEM - 2024), IEEE, ( Accepted for Publication) ( Scopus Indexed)

[126] Abhishek Raghuvanshi et al , Optimized Image Enhancement Enabled LSTM Technique for Plant Leaf Disease Detection, 9th International Conference on Science, Technology, Engineering, and Mathematics (ICONSTEM - 2024), IEEE, ( Accepted for Publication) ( Scopus Indexed)

[127] Suyash Kumar Singh, Sanjiv Tokekar, Abhishek Raghuvanshi, Umesh Kumar Singh, ―Java and IoT (Internet of Things): Automating the Industrial Economy‖, International Journal of Computer Applications, 2017, vol. 175, no 1, pp. 9-13.

[128] Suyash Kumar Singh, Sanjiv Tokekar, Abhishek Raghuvanshi, Umesh Kumar Singh, ―Role of SCADA & IoT in Industrial Automation‖, International Journal of Scientific Research and Development, 2017, vol. 5, issue 6, pp. 2149-2151.

[129] Abhishek Raghuvanshi, “An Enhanced Data Mining Technique For Hiding Sensitive Information”, International Journal of Advanced Research in Computer Science, 2011, Vol. 2, Pp. 77-80, 0967-5697

[130] Sourabh Dave, Abhishek Raghuvanshi, “Performance Improvement In Distributed System Through Replicating And Checkpointing”, International Journal of Computer Application ,2012 Vol. 42, Pp. 17-21, 0975-8887

[131] Sourabh Dave, Abhishek Raghuvanshi, “Fault Tolerance Techniques In Distributed Systems”, International Journal of Engineering Innovation and Research, 2012, Vol. 1,Pp. 124-130, 2277-5668

[132] Ankit Jain, Abhishek Raghuvanshi, “Analysis Of Query Based Text Classification Approach”, International Journal of Advanced Research in Computer Science, 2012, Vol. 2, Pp.2, Pp.62, 2277128x

[133] Ankit Jain, Abhishek Raghuvanshi, “IBTC Model: A Model For Classification Of Queries”, International Journal of Computer Application, 2013, Vol. 68, Pp. 34, 0975-8887

[134] Sumit Jain, Abhishek Raghuvanshi, “Smmcoa- Maintaining Multiple Correlations between Overlapped Attributes Using Slicing Technique “, International Journal of Emerging Technology and Advanced Engineering, 2013, Vol. 3, Pp. 451, 2250-2459

[135] Sumit Jain, Abhishek Raghuvanshi, “A Novel Method For Refined Arm From A Data Set”, International Journal of Advanced Research in Computer Science, 2014, L.4, Pp. 83, 2277128x

[136] Shabana Anwar, Abhishek Raghuvanshi, “Review Of Modern Techniques For Mining Top Ranked Association Rules”,  International Journal for Scientific Research & Development, 2014, Vol. 2, Pp.16, 2321-0613

[137] Shabana Anwar, Abhishek Raghuvanshi, “Effective Sequential Pattern Mining”,  International Journal for Scientific Research & Development, 2014, Vol. 2, Pp. 314, 2321-0613

[138] Vandana Birle, Abhishek Raghuvanshi, “A Secure & Scalable Access Method For In Cloud Computing”,  International Journal for Scientific Research & Development, 2013, Vol. 1, Pp. 224, 2321-0613

[139] Vandana Birle, Abhishek Raghuvanshi, “State Of The Art In Cloud Security”,  International Journal for Scientific Research & Development, 2013, Vol. 1, Pp. 221, 2321-0613

[140] Rahul Choudhry, Abhishek Raghuvanshi, “Risk Assessment Of A System Security”,  International Journal of Scientific & Engineering Research, Vol. 3, Pp. 1, 2012, 2229-5518

[141] Rahul Choudhry, Abhishek Raghuvanshi, “Fuzzy Based Evaluation Model Of A System Security”, International Journal of Advanced Research in Computer Science and Software Engineering , 2012, Vol. 2, Pp.413, 2277128x

[142] Meenal Moghe , Abhishek Raghuvanshi, “A Novel Collaborative Filtering Recommendation System Algorithm”, International Journal of Engineering & Technical Research, 2015, Vol. 3, Pp. 210-212, 2321-0869

[143] Asad Quereshi, Abhishek Raghuvanshi, “A Survey Of Maximal Frequent Item Set Mining Algorithm”, International Journal of All Research Education & Scientific Methods, 2016, Vol.4, Pp. 20-24, 2455-6211

[144] Gorav Mandloi, Abhishek Raghuvanshi, “An Improved Content Based Image Retrieval Using A Multi-Scale Saliency Model”, International Journal of Computer Science and Information Technologies , Vol.6, Pp. 5198-5203, 0975-9646

[145] Meenal Moghe, Abhishek Raghuvanshi, “A Hybrid Cluster Searching Strategies For Recommendation Systems”, Engineering Universe For Scientific Research And Management, 2015, Vol.7, Pp.1-3, 2319-3069

[146] Jayshree Patil, Abhishek Raghuvanshi, “Comparison Techniques For Dna Sequence Comparison”, International Journal of Technology Research and Management, 2016, Vol. 3, 2348-9006

[147] Jayshree Patil, Abhishek Raghuvanshi, “Sequence Comparison Techniques For Biological Sequence Comparison”, International Journal of Technology Research and Management, 2016, Vol.5, 2348-9006,

[148] Rupesh Pawar, Abhishek Raghuvanshi, “A Novel Transaction Reduction & Data Elimination Based Technique For Mining Frequent Item Sets From A Transaction Data Base”,  International journal of scientific development and research, 2016, Vol.1, Pp. 344-346, 2455-2631

[149] Rupesh Pawar, Abhishek Raghuvanshi, “A Literature Survey Of Modern Techniques Used For Frequent Item Set Mining”,  International journal of scientific development and research, 2016, Vo. 1, Pp. 341-344, 2455-2631

[150] Sanjay Bohra, Abhishek Raghuvanshi, “Mfcd: An Optimized Technique For Mining Frequent Closed Item Sets”, International Journal for Scientific Research & Development, 2015, Vol. 2, Pp. 161-164,

[151] Anu Singh, Abhishek Raghuvanshi, “Review Of Modern Technique For Mining Top Ranked Association Rule”, International Journal for Scientific Research & Development, 2014, Vol. 2, Pp.16-20,

[152] Anu Singh, Abhishek Raghuvanshi, “A Novel Method For Refined Association Rule Mining From A Data Set”, International Journal of Advanced Research in Computer Science and Software Engineering, 2014, Vol. 4, Pp. 83-88,

[153] Vijay Kumar Patidar, Abhishek Raghuvanshi, Vivek Shrivastava, “Literature Survey Of Association Rule Based Techniques For Preserving Privacy”, INTERNATIONAL JOURNAL OF ADVANCED ENGINEERING & COMPUTER TECHNOLOGY, 2013, Vol.2, Pp. 59-64, 2320-0790

[154] Krishnakant Solanki, Abhishek Raghuvanshi,“A Survey Of Sequential Pattern Mining Method”, International Journal for Scientific Research & Development, 2016, Vol.3, Pp. 397-400

[155] Pragya Giri, Abhishek Raghuvanshi, “Outlier Detection In Data Streams Using Fuzzy C-Mean Clustering, Outlier Detection And Genetic Algorithm”, International Journal for Rapid Research in Engineering Technology & Applied Science, 2016, Vol. 2, Pp.1-8, 2455-4723

[156] Pragya Giri, Abhishek Raghuvanshi, “Location And Load Based Public Cloud Server Partition”, International Journal of Research in Science & Engineering, 2017, Vol.3, Pp.1-5, 2394-8299

[157] Sweety Baiwal, Abhishek Raghuvanshi, “Imputation Of Missing Values Using Association Rule Mining & K-Mean Clustering”, International journal of scientific development and research 2016, Vol. 1, Pp. 340-344, 2455-2631

[158] Sweety Baiwal, Abhishek Raghuvanshi, ‘Missing Values Imputation Using Hybrid Approach For Knowledge Discovery”, International Journal of Research in Science & Engineering, 2017, Vol.3, Pp. 411- 419, 2394-8299

[159] Rachna Naik, Abhishek Raghuvanshi, “Enhanced News Recommendation System For English News: A Survey”, International journal of scientific development and research, 2016, Vol.1, Pp.186-188, 2455-2631

[160] Rachna Naik, Abhishek Raghuvanshi, “Hybrid News Recommendation System Using Tf-Idf And Associative Calculus’, International journal of scientific development and research, 2017, Vol.2, Pp. 48-51, 2455-2631

[161] Surendra Singh Chouhan, Abhishek Raghuvanshi,’ A Data Reduction Based Technique For Mining Infrequent Items From A Transaction Data Set”, International journal of scientific development and research, 2016, Vol.1, Pp. 59-61, 2455-2631

[162] Surendra Singh Chouhan, Abhishek Raghuvanshi, “A Review Of Rare Item Set Mining Methodologies”, International journal of scientific development and research, 2016, Vol. 1, Pp. 267-269, 2455-2631

[163] Aman Jain, Abhishek Raghuvanshi, “A Review Analysis Of Routing Protocols In A Multihop Vanet Scenario”, International Journal of Technology Research and Management, 2017, Vol. 4, Pp.1-3, 2348-9006

[164] Aman Jain, Abhishek Raghuvanshi, “An Implementation Of Routing Protocol On Vehicular Adhoc Network”, International Journal of Technology Research and Management, 2017, Vol. 4, Pp. 1-4, 2348-9006

[165] Yogesh Vashishtha, Abhishek Raghuvanshi, “A Survey On Mining Algorithm To Archive High Utility Item Set Using Tko With Tku”, International Journal of Technology Research and Management, 2017, Vo. 4, Pp. 1-5, 2348-9006

[166] Yogesh Vashishtha, Abhishek Raghuvanshi, “An Enhanced Technique For Mining Top K High Utility Items From A Data Set”, International Journal of Technology Research and Management, 2018, Vol.5, Pp. 1-7, 2348-9006

[167] Heena Khan, Abhishek Raghuvanshi, An Item Elimination Based Technique For Mining High Utility Items From A Data Set, International Journal of Technology Research and Management, 2018, Vol. 5, Pp. 1-4, 2348-9006

[168] Dipanti Marothiya, Abhishek Raghuvanshi, “Predicting Heart Disease Using Regression Based Artificial Neural Network”, International Journal of Technology Research and Management, 2016, Vol. 3, Pp. 1-11, 2348-9006

[169] Rajeswarappa, G., Vasundra, S. Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks. Wireless Pers Commun 121, 2029–2056 (2021).

[170] Rajeswarappa, G..., Vasundra, S. (2022). Self-Adaptive Cuckoo Search-based Cluster Head Selection for Maximizing Network Lifetime in Wireless Sensor Networks. In: Mahapatra, R.P., Peddoju, S.K., Roy, S., Parwekar, P., Goel, L. (eds) Proceedings of International Conference on Recent Trends in Computing . Lecture Notes in Networks and Systems, vol 341. Springer, Singapore. https://doi.org/10.1007/978-981-16-7118-0_52

[171] Sirisala, S., Rajeswarappa, G., Lakumarapu, S. (2023). Node Cooperation Enforcement Scheme for Enhancing Quality of Service in MANETs Using Machine Learning Approach. In: Morusupalli, R., Dandibhotla, T.S., Atluri, V.V., Windridge, D., Lingras, P., Komati, V.R. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2023. Lecture Notes in Computer Science(), vol 14078. Springer, Cham. https://doi.org/10.1007/978-3-031-36402-0_32

[172] G. Rajeswarappa, S. Depuru and S. Sirisala, "Crop Pests Identification based on Fusion CNN Model: A Deep Learning," 2023 8th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2023, pp. 968-974, doi: 10.1109/ICCES57224.2023.10192693.

[173] Govardanagiri R, Sanjeevulu V. Hybrid Grasshopper and Improved Bat Optimization Algorithms-based clustering scheme for maximizing lifetime of Wireless Sensor Networks (WSNs). International Journal of Intelligent Engineering & Systems. 2022 May 1;15(3).

[174] V. Durga Prasad Jasti, Abu Sarwar Zamani, K. Arumugam, Mohd Naved, Harikumar Pallathadka, F. Sammy, Abhishek Raghuvanshi, Karthikeyan Kaliyaperumal, "Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis", Security and Communication Networks, vol. 2022, Article ID 1918379, 7 pages, 2022. https://doi.org/10.1155/2022/1918379

[175] V. Durga Prasad Jasti, Guttikonda Kranthi Kumar, M. Sandeep Kumar, V. Maheshwari, Prabhu Jayagopal, Bhaskar Pant, Alagar Karthick, M. Muhibbullah, "Relevant-Based Feature Ranking (RBFR) Method for Text Classification Based on Machine Learning Algorithm", Journal of Nanomaterials, vol. 2022, Article ID 9238968, 12 pages, 2022. https://doi.org/10.1155/2022/9238968

[176] S. K. Yashwant, P. V. Krishna, B. N. V. S. B. Kumar, G. Chandan, and J. V. D. Prasad, “iLock: State-of-the-art Sophisticated Door Lock for Wireless Devices,” 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Mar. 2020, doi: https://doi.org/10.1109/icimia48430.2020.9074972.

[177] V. Durga Prasad Jasti, Enagandula Prasad, Manish Sawale, Shivlal Mewada, Manoj L. Bangare, Pushpa M. Bangare, Sunil L. Bangare, F. Sammy, " Image Processing and Machine Learning-Based Classification and Detection of Liver Tumor", BioMed Research International, vol. 2022, Article ID 3398156, 7 pages, 2022. https://doi.org/10.1155/2022/3398156\

[178] Bindhu, M.L.H., Potluri, T., Korra, C.B., Prasad, J.V.D. (2023). Detection and Counting of Trees in Aerial Images Using Image Processing Techniques. In: Bhateja, V., Mohanty, J.R., Flores Fuentes, W., Maharatna, K. (eds) Communication, Software and Networks. Lecture Notes in Networks and Systems, vol 493. Springer, Singapore. https://doi.org/10.1007/978-981-19-4990-6_17

[179] J. V. D. Prasad, M. Sreelatha, and K. SuvarnaVani, “V-BANet: Land cover change detection using effective deep learning technique,” Ecological Informatics, vol. 75, p. 102019, Jul. 2023, doi: https://doi.org/10.1016/j.ecoinf.2023.102019.

[180] Meruga, S.R., Jasti, P. (2022). Land Cover Change Detection on Sentinel-2 Using GDAL and NDVI. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 385. Springer, Singapore. https://doi.org/10.1007/978-981-16-8987-1_57

[181] J V D Prasad, M.Sreelatha. (2020). Improved Fuzzy C Mean and Adaptive Weighted Majority Voting Based Land Cover Change Detection in Remote Sensing Images. International Journal of Advanced Science and Technology, 29(06), 3136 - 3149.

[182] “Iceberg Detection in Satellite Images using Deep Learning Techniques,” International Journal of Recent Technology and Engineering, vol. 8, no. 6, pp. 4701–4704, Mar. 2020, doi: https://doi.org/10.35940/ijrte.f9736.038620.

[183] M Sreelatha, J.V.D.Prasad, Feature extraction and clustering techniques on remote sensing images- A survey

[184] J. V. D Prasad, M. Sri Mounica, " Pattern Evaluation with Location Based Query Search, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.746-750, September-October-2017.

@article{1705775,
      author = {Malik Jawarneh},
      title = {Advancements in Digital Technologies: Exploring the Impact on Healthcare, Education, and Network Connectivity in the Era of 5G and IoT},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {11},
      pages = {234-250},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705775.pdf},
      abstract = {This paper examines the transformative impact of digital technology advancements, particularly focusing on the sectors of healthcare, education, and network connectivity, in the context of emerging 5G and Internet of Things (IoT) technologies. As we enter the 5G era, the potential for IoT applications expands, offering unprecedented opportunities for enhancing disease detection accuracy, educational engagement, and network efficiency. Through an exploration of various case studies, including the application of machine learning for liver tumor detection, the use of virtual reality in medical training, and the optimization of networks for smooth connectivity, this study highlights the significant benefits and challenges associated with the integration of advanced digital technologies. Additionally, it addresses the critical issues of security and privacy that accompany the adoption of these technologies. By synthesizing findings from recent research, this paper aims to provide insights into how digital innovations can be harnessed to improve healthcare outcomes, enrich educational experiences, and ensure robust and efficient network connectivity, thereby underscoring the pivotal role of digital technologies in shaping the future.},
      keywords = {Digital Technologies, Healthcare Innovation, Educational Technology Network Connectivity, 5G Technology, Internet of Things (IoT), Machine Learning Virtual Reality, Mobile Edge Computing, Security and Privacy.},
      month = {May},
  }