Items where Author is "Jeyalaksshmi, S."

Article

Punithavathi, S. and Jeyalaksshmi, S. (2023) Secure Block Chain-Based Healthcare Sensitive Data Prediction Using Pragmatic Quasi-Identifiers in a Decentralized Cloud Environment. SN Computer Science, 5 (1). ISSN 2661-8907

Radha, S. and Jeyalaksshmi, S. (2023) Deterministic Hash and Linear Congruential BlowFish Extreme Learning for User Authentication in Cloud Computing. SN Computer Science, 4 (6). ISSN 2661-8907

Jeyalaksshmi, S. and Anita Smiles, J. and Akila, D. and Mukherjee, Dibyendu and Obaid, Ahmed J. (2021) Energy-Efficient Load Balancing Technique to optimize Average response time and Data Center Processing Time in Cloud Computing Environment. Journal of Physics: Conference Series, 1963 (1). 012145. ISSN 1742-6588

Jeyalaksshmi, S. and Raman, V. and Suseendran, G. (2019) Data Mining in Soil & Plant Nutrient Management, Recent Advances and Future Challenges in Organic Crops. International Journal of Recent Technology and Engineering, 8 (2S11). pp. 213-216. ISSN 2277-3878

Book Section

Jeyalaksshmi, S. and Preethika, S. K. Piramu and Hannah, J. Grace and Sathya, S. and Radhakrishnan, Sangeetha and Priscila, S. Silvia (2024) Prediction of Cancer Blood Disorder Using Adaptive Otsu Threshold and Deep Convolutional Neural Networks:. In: Advancements in Clinical Medicine. IGI, pp. 303-316.

Pathak, Pritesh and Pal, Souvik and Maity, Saikat and Jeyalaksshmi, S. and Adhikari, Saurabh and Akila, D. (2024) Analysis of Improving Sales Process Efficiency with Salesforce Industries CPQ in CRM. In: Lecture Notes in Networks and Systems. Springer, pp. 481-495.

Gajavalli, J. and Jeyalaksshmi, S. (2024) Plant Disease Detection Automation Using Deep Neural Networks. In: Advancements in Smart Computing and Information Security. Springer, pp. 96-109.

Gajavalli, J. and Jeyalaksshmi, S. (2023) ConvNet of Deep Learning in Plant Disease Detection. In: ConvNet of Deep Learning in Plant Disease Detection. Springer, pp. 501-513.

Jeyalaksshmi, S. and Sai Vignesh, P. J. (2023) Recognition of Iris Segmentation Using CNN and Neural Networks. In: Recognition of Iris Segmentation Using CNN and Neural Networks. Springer, pp. 515-521.

Akila, D. and Jeyalaksshmi, S. and Suseendran, G. and Balaganesh, D. (2021) Executing the Apriori Hybrid Algorithm in Semi-structured Mining Datasets and Comparison with HD Algorithm. In: Advances in Intelligent Systems and Computing. Springer, pp. 539-547.

Jeyalaksshmi, S. and Akila, D. and Padmapriya, D. and Suseendran, G. and Pal, Souvik (2021) Human Facial Expression Based Video Retrieval with Query Video Using EBCOT and MLP. In: Advances in Intelligent Systems and Computing. springer, pp. 157-166.

Conference or Workshop Item

Punithavathi, S. and Jeyalaksshmi, S. (2024) Blockchain Security Using Q-Pragmatic-Sensitive Feature Analysis to Preserve Privacy. In: 2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballari, India.

Persis, P. Keren and Subramanian, P. and Aalam, Shiek and Kalaiselvi, K. and Jeyalaksshmi, S. and Sonawane, Pavankumar Ravindra (2024) A horizontal analysis on second life potentials of lithium ion batteries with its challenges involved. In: FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN PHYSICAL SCIENCES AND MATERIALS: ICAPSM 2023, 17–18 August 2023, Coimbatore, India.

Radha, S. and Jeyalaksshmi, S. (2023) Gradient Kernelized Cat Boost Pre-Emptive Traffic Aware Data Distribution in Cloud Computing. In: 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India.

Punithavathi, S. and Jeyalaksshmi, S. (2023) Privacy Preserving Q-Pragmatic-Sensitive Feature Analysis based Blockchain Security Using Provable Partition Fold Padding Encryption. In: 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India.

Manibhai, Thakar Hitesh and Kumar, Mohit and Jeyalaksshmi, S. and Abdullah, abdullah and Panda, Sakti Charan and Pal, Souvik (2023) Practices of machine learning in classification of nanomaterial. In: ETLTC-ICETM2023 INTERNATIONAL CONFERENCE PROCEEDINGS: ICT Integration in Technical Education & Entertainment Technologies and Management, 24–27 January 2023, Aizuwakamatsu, Japan.

Jeyalaksshmi, S. and Ganesh, Raja.M (2022) Adaptive Duty-Cycle Scheduling using Bi-Directional Long Short-Term Memory (BiLSTM) for Next Generation IoT Applications. In: 2022 International Conference on Computing, Communication and Power Technology (IC3P), Visakhapatnam, India.

Akila, D. and Jeyalaksshmi, S. and Jayakarthik, R. and Mathivilasini, S. and Suseendran, G. (2021) Biometric Authentication With Finger Vein Images Based On Quadrature Discriminant Analysis. In: 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates.

Jeyalaksshmi, S. and Nidhya, M.S. and Suseendran, G. and Pal, Souvik and Akila, D. (2021) Notice of Violation of IEEE Publication Principles: Developing Mapping and allotment in Volunteer Cloud systems using Reliability Profile algorithms in a virtual machine. In: 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates.