Journals
2023:
Chen, C. M., Zhang, Z., Ming-Tai Wu, J., & Lakshmanna, K. (2023). High Utility Periodic Frequent Pattern Mining in Multiple Sequences. CMES-Computer Modeling in Engineering & Sciences, 137(1).
Yenduri, G., Kaluri, R., Rajput, D. S., Lakshmanna, K., Gadekallu, T. R., Mahmud, M., & Brown, D. J. (2023). From Assistive Technologies to Metaverse–Technologies in Inclusive Higher Education for Students with Specific Learning Difficulties: A Review. IEEE Access.
Pei, J., Zhong, K., Yu, Z., Wang, L., & Lakshmanna, K. (2023). Scene graph semantic inference for image and text matching. ACM Transactions on Asian and Low-Resource Language Information Processing, 22(5), 1-23.
Rajyalakshmi, V., & Lakshmanna, K. (2023). Detection of car parking space by using Hybrid Deep DenseNet Optimization algorithm. International Journal of Network Management, e2228.
Chen, C. M., Li, Z., Kumari, S., Srivastava, G., Lakshmanna, K., & Gadekallu, T. R. (2023). A provably secure key transfer protocol for the fog-enabled Social Internet of Vehicles based on a confidential computing environment. Vehicular Communications, 39, 100567.
Nagasree, Y., Rupa, C., Akshitha, P., Srivastava, G., Gadekallu, T. R., & Lakshmanna, K. (2023). Preserving privacy of classified authentic satellite lane imagery using proxy re-encryption and UAV technologies. Drones, 7(1), 53.
Conferences:
2022:
Pei, J., Yu, Z., Li, J., Jan, M. A., & Lakshmanna, K. (2022). TKAGFL: A Federated Communication Framework Under Data heterogeneity. IEEE Transactions on Network Science and Engineering.
Singh, N., Gunjan, V. K., Chaudhary, G., Kaluri, R., Victor, N., & Lakshmanna, K. (2022). IoT enabled HELMET to safeguard the health of mine workers. Computer Communications.
Lakshmanna, K., Subramani, N., Alotaibi, Y., Alghamdi, S., Khalafand, O. I., & Nanda, A. K. (2022). Improved Metaheuristic-Driven Energy-Aware Cluster-Based Routing Scheme for IoT-Assisted Wireless Sensor Networks. Sustainability, 14(13), 7712.
Lakshmanna, K., Kavitha, R., Geetha, B. T., Nanda, A. K., Radhakrishnan, A., & Kohar, R. (2022). Deep Learning-Based Privacy-Preserving Data Transmission Scheme for Clustered IIoT Environment. Computational Intelligence and Neuroscience, 2022.
Kumar, V., Lalotra, G. S., Sasikala, P., Rajput, D. S., Kaluri, R., Lakshmanna, K., ... & Uddin, M. (2022, July). Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques. In Healthcare (Vol. 10, No. 7, p. 1293). MDPI.
Shelatkar, T., Urvashi, D., Shorfuzzaman, M., Alsufyani, A., & Lakshmanna, K. (2022). Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine-Tuning Approach. Computational and Mathematical Methods in Medicine, 2022.
Lakshmanna, Kuruva, Rajesh Kaluri, Nagaraja Gundluru, Zamil S. Alzamil, Dharmendra Singh Rajput, Arfat Ahmad Khan, Mohd Anul Haq, and Ahmed Alhussen. "A Review on Deep Learning Techniques for IoT Data." Electronics 11, no. 10 (2022): 1604.
Rodrigues, A. P., Fernandes, R., Shetty, A., Lakshmanna, K., & Shafi, R. M. (2022). Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques. Computational Intelligence and Neuroscience, 2022.
Gundluru, N., Rajput, D. S., Lakshmanna, K., Kaluri, R., Shorfuzzaman, M., Uddin, M., & Rahman Khan, M. A. (2022). Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model. Computational Intelligence and Neuroscience, 2022.
Lakshmanna, K., Shaik, F., Gunjan, V. K., Singh, N., Kumar, G., & Shafi, R. M. (2022). Perimeter Degree Technique for the Reduction of Routing Congestion during Placement in Physical Design of VLSI Circuits. Complexity, 2022.
Rajyalakshmi, V., & Lakshmanna, K. (2022). A review on smart city-IoT and deep learning algorithms, challenges. International Journal of Engineering Systems Modelling and Simulation, 13(1), 3-26.
2021:
Rajput, D. S., Basha, S. M., Xin, Q., Gadekallu, T. R., Kaluri, R., Lakshmanna, K., & Maddikunta, P. K. R. (2021). Providing diagnosis on diabetes using cloud computing environment to the people living in rural areas of India. Springer Journal of Ambient Intelligence and Humanized Computing, 1-12. (IF: 4.594)
Gadekallu, T. R., Alazab, M., Kaluri, R., Maddikunta, P. K. R., Bhattacharya, S., Lakshmanna, K., & Parimala, M. (2021). Hand gesture classification using a novel CNN-crow search algorithm. Springer Complex & Intelligent Systems, 1-14. (IF: 3.791)
Alazab, M., Lakshmanna, K., Reddy, T., Pham, Q. V., & Maddikunta, P. K. R. Multi-objective cluster head selection using fitness averaged rider optimization algorithm for IoT networks in smart cities. Elsevier Sustainable Energy Technologies and Assessments, 43, 100973. (IF: 3.427)
R. Kaluri, D. S. Rajput, Q. Xin, K. Lakshmanna, S. Bhattacharya, Maddikunta, P. K. R, "Roughsets-based approach for predicting battery life in IoT," Tech Science Intelligent Automation & Soft Computing, vol. 27, no.2, pp. 453–469, 2021. (IF: 1.276)
Iwendi, C., Maddikunta, P. K. R., Gadekallu, T. R., Lakshmanna, K., Bashir, A. K., & Piran, M. J. (2021). A metaheuristic optimization approach for energy efficiency in the IoT networks. Software: Practice and Experience, 51(12), 2558-2571.
Chang, C. Y., Bhattacharya, S., Raj Vincent, P. M., Lakshmanna, K., & Srinivasan, K. (2021). An Efficient Classification of Neonates Cry Using Extreme Gradient Boosting-Assisted Grouped-Support-Vector Network. Journal of Healthcare Engineering, 2021.
Ray, P., Kaluri, R., Reddy, T., & Lakshmanna, K. (2021). Contemporary Developments and Technologies in Deep Learning–Based IoT. In Deep Learning for Internet of Things Infrastructure (pp. 61-82). CRC Press.
Gadekallu, T. R., Rajput, D. S., Reddy, M., Lakshmanna, K., Bhattacharya, S., Singh, S., ... & Alazab, M. (2021). A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU. Journal of Real-Time Image Processing, 18(4), 1383-1396.
Kaluri, R., Rajput, D. S., Xin, Q., Lakshmanna, K., Bhattacharya, S., Gadekallu, T. R., & Maddikunta, P. K. R. (2021). Roughsets-based approach for predicting battery life in IoT. arXiv preprint arXiv:2102.06026.
Rajput, D. S., Shukla, P., Reddy, T., Kaluri, R., Lakshmanna, K., Maddikunta, P. K. R. K., & Patel, H. (2021). A review on bitcoin and currency encryption: Bitcoin and blockchain. In Blockchain Applications in IoT Security (pp. 84-98). IGI Global.
2020:
Reddy, G. T., Reddy, M. P. K., Lakshmanna, K., Kaluri, R., Rajput, D. S., Srivastava, G., & Baker, T. (2020). Analysis of dimensionality reduction techniques on big data. IEEE Access, 8, 54776-54788. (IF: 3.367)
RM, S. P., Bhattacharya, S., Maddikunta, P. K. R., Somayaji, S. R. K., Lakshmanna, K., Kaluri, R., ... & Gadekallu, T. R. (2020). Load balancing of energy cloud using wind driven and firefly algorithms in internet of everything. Journal of parallel and distributed computing, 142, 16-26.
eddy, G. T., Reddy, M. P. K., Lakshmanna, K., Rajput, D. S., Kaluri, R., & Srivastava, G. (2020). Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis. Evolutionary Intelligence, 13(2), 185-196.
Koppu, S., Lakshmanna, K., Venugopal, P., & Poluru, R. K. (2020, February). Automated category Text identification using Machine Learning. In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (pp. 1-4). IEEE.
2019:
Reddy, G. T., Kaluri, R., Reddy, P. K., Lakshmanna, K., Koppu, S., & Rajput, D. S. (2019, February). A novel approach for home surveillance system using IoT adaptive security. In Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur-India.
2018:
Lakshmanna, K., & Khare, N. (2018). Mining dna sequence patterns with constraints using hybridization of firefly and group search optimization. Journal of Intelligent systems, 27(3), 349-362.
2017:
Reddy, G. T., Srivatsava, A., Lakshmanna, K., Kaluri, R., Karnam, S., & Nagaraja, G. (2017). Risk prediction to examine health status with real and synthetic datasets. Biomedical and Pharmacology Journal, 10(4), 1897-1903.
Priyanka, A., Parimala, M., Sudheer, K., Kaluri, R., Lakshmanna, K., & Reddy, M. P. K. (2017, November). BIG data based on healthcare analysis using IOT devices. In IOP Conference Series: Materials Science and Engineering (Vol. 263, No. 4, p. 042059). IOP Publishing.
Kumar, M. E., Reddy, G. T., Sudheer, K., Reddy, M. P. K., Kaluri, R., Rajput, D. S., & Lakshmanna, K. (2017, November). Vehicle theft identification and intimation using gsm & iot. In IOP Conference Series: Materials Science and Engineering (Vol. 263, No. 4, p. 042062). IOP Publishing.
Billa, V. V. K., Lakshmanna, K., Rajesh, K., Reddy, M. P. K., Nagaraja, G., & Sudheer, K. (2017, November). Efficient frequent pattern mining algorithm based on node sets in cloud computing environment. In IOP Conference Series: Materials Science and Engineering (Vol. 263, No. 4, p. 042003). IOP Publishing.
2016:
Lakshmanna, K., & Khare, N. (2016). FDSMO: frequent DNA sequence mining using FBSB and optimization. International Journal of Intelligent Engineering & Systems, 9(4), 157-166.
Lakshmanna, K., & Khare, N. (2016). Constraint-based measures for DNA sequence mining using group search optimization algorithm. International Journal of Intelligent Engineering & systems, 9, 91-100.
Kaluri, R., Lakshmanna, K., Reddy, T., Karnam, S., & Koppu, S. (2016). A comparative study on selecting and ranking the test cases in software testing. ARPN J Eng Appl Sci, 11, 754-757.
Conferences and Book Chapters
2023:
Hao, Y., Kumari, S., Lakshmanna, K., & Chen, C. M. (2023). Privileged Insider Attacks on Two Authentication Schemes. In Advances in Smart Vehicular Technology, Transportation, Communication and Applications: Proceedings of VTCA 2022 (pp. 515-524). Singapore: Springer Nature Singapore.
2021:
Rajput, D. S., Shukla, P., Reddy, T., Kaluri, R., Lakshmanna, K., Maddikunta, P. K. R. K., & Patel, H. (2021). A Review on Bitcoin and Currency Encryption: Bitcoin and Blockchain. In Blockchain Applications in IoT Security (pp. 84-98). IGI Global.
Ray, P., Kaluri, R., Reddy, T. and Lakshmanna, K., 2021. Contemporary Developments and Technologies in Deep Learning–Based IoT. In Deep Learning for Internet of Things Infrastructure (pp. 61-82). CRC Press.
2020:
Poluru, R. K., Reddy, M. P. K., Kaluri, R., Lakshmanna, K., & Reddy, G. T. (2020). Agribot. In Architecture and Security Issues in Fog Computing Applications (pp. 151-157). IGI Global.