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ORCIDVijayalakshmi Saravanan
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Journal Articles
- 2024
[j24]Fei Wang
, Nan Yang, Pethuraj Mohamed Shakeel, Vijayalakshmi Saravanan:
Machine learning for mobile network payment security evaluation system. Trans. Emerg. Telecommun. Technol. 35(4) (2024)- 2023
- [j23]Dilli Babu Salvakkam, Vijayalakshmi Saravanan, Praphula Kumar Jain, Rajendra Pamula:
Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning. Cogn. Comput. 15(5): 1593-1612 (2023) - [j22]Praphula Kumar Jain, Waris Quamer, Rajendra Pamula, Vijayalakshmi Saravanan:
SpSAN: Sparse self-attentive network-based aspect-aware model for sentiment analysis. J. Ambient Intell. Humaniz. Comput. 14(4): 3091-3108 (2023) - [j21]Praphula Kumar Jain, Waris Quamer, Vijayalakshmi Saravanan, Rajendra Pamula:
Employing BERT-DCNN with sentic knowledge base for social media sentiment analysis. J. Ambient Intell. Humaniz. Comput. 14(8): 10417-10429 (2023) - 2022
- [j20]Gunasekaran Manogaran, Bharat S. Rawal, Houbing Song, Huihui Wang, Chinghsien Hsu, Vijayalakshmi Saravanan, Seifedine Nimer Kadry, P. Mohamed Shakeel:
Optimal Energy-Centric Resource Allocation and Offloading Scheme for Green Internet of Things Using Machine Learning. ACM Trans. Internet Techn. 22(2): 36:1-36:19 (2022) - [j19]Gunasekaran Manogaran, Bharat S. Rawal, Vijayalakshmi Saravanan, Priyan Malarvizhi Kumar, Qin Xin, P. Mohamed Shakeel:
Token-Based Authorization and Authentication for Secure Internet of Vehicles Communication. ACM Trans. Internet Techn. 22(4): 90:1-90:20 (2022) - 2021
- [j18]Maonan Xue, Guoyi Xiu, Vijayalakshmi Saravanan, Carlos Enrique Montenegro-Marín:
Cloud computing with AI for banking and e-commerce applications. Electron. Libr. 39(4): 539-552 (2021) - [j17]P. Mohamed Shakeel, S. Baskar, Hassan Fouad, Gunasekaran Manogaran, Vijayalakshmi Saravanan, Carlos Enrique Montenegro-Marín:
Internet of things forensic data analysis using machine learning to identify roots of data scavenging. Future Gener. Comput. Syst. 115: 756-768 (2021) - [j16]Sujatha Krishnamoorthy, A. Shanthini, Gunasekaran Manogaran, Vijayalakshmi Saravanan, Adhiyaman Manickam, R. Dinesh Jackson Samuel:
Regression Model-based Feature Filtering for Improving Hemorrhage Detection Accuracy in Diabetic Retinopathy Treatment. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 29(Suppl-1): 51-71 (2021) - [j15]Vijayalakshmi Saravanan:
Impact of intelligence methodologies on education and training process. J. Intell. Fuzzy Syst. 40(2): 3237-3238 (2021) - [j14]P. Mohamed Shakeel, S. Baskar, Hassan Fouad, Gunasekaran Manogaran, Vijayalakshmi Saravanan, Qin Xin:
Creating Collision-Free Communication in IoT with 6G Using Multiple Machine Access Learning Collision Avoidance Protocol. Mob. Networks Appl. 26(3): 969-980 (2021) - [j13]Gunasekaran Manogaran, Pethuraj Mohamed Shakeel, Burhanuddin Mohd Aboobaider, S. Baskar, Vijayalakshmi Saravanan, Rubén González Crespo, Oscar Sanjuán Martínez:
ADC-CF: Adaptive deep concatenation coder framework for visual question answering. Pattern Recognit. Lett. 152: 348-355 (2021) - [j12]Waris Quamer, Praphula Kumar Jain, Arpit Rai, Vijayalakshmi Saravanan, Rajendra Pamula, Chiranjeev Kumar:
SACNN: Self-attentive Convolutional Neural Network Model for Natural Language Inference. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(3): 50:1-50:16 (2021) - [j11]Praphula Kumar Jain, Vijayalakshmi Saravanan, Rajendra Pamula:
A Hybrid CNN-LSTM: A Deep Learning Approach for Consumer Sentiment Analysis Using Qualitative User-Generated Contents. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(5): 84:1-84:15 (2021) - [j10]Gunasekaran Manogaran, Mamoun Alazab, Vijayalakshmi Saravanan, Bharat S. Rawal, P. Mohamed Shakeel, Revathi Sundarasekar, Senthil Murugan Nagarajan, Seifedine Nimer Kadry, Carlos Enrique Montenegro-Marín:
Machine Learning Assisted Information Management Scheme in Service Concentrated IoT. IEEE Trans. Ind. Informatics 17(4): 2871-2879 (2021) - [j9]Gunasekaran Manogaran, Vijayalakshmi Saravanan, Ching-Hsien Hsu:
Information-Centric Content Management Framework for Software Defined Internet of Vehicles Towards Application Specific Services. IEEE Trans. Intell. Transp. Syst. 22(7): 4541-4549 (2021) - 2020
- [j8]Gunasekaran Manogaran, Bharat S. Rawal, Vijayalakshmi Saravanan, Priyan Malarvizhi Kumar, Oscar Sanjuán Martínez, Rubén González Crespo, Carlos Enrique Montenegro-Marín, Sujatha Krishnamoorthy:
Blockchain based integrated security measure for reliable service delegation in 6G communication environment. Comput. Commun. 161: 248-256 (2020) - [j7]Shanying Zhu, Vijayalakshmi Saravanan, BalaAnand Muthu:
Achieving data security and privacy across healthcare applications using cyber security mechanisms. Electron. Libr. 38(5/6): 979-995 (2020) - 2018
- [j6]Anju S. Pillai, Kaumudi Singh, Vijayalakshmi Saravanan, Alagan Anpalagan, Isaac Woungang, Leonard Barolli:
A genetic algorithm-based method for optimizing the energy consumption and performance of multiprocessor systems. Soft Comput. 22(10): 3271-3285 (2018) - 2015
- [j5]Vijayalakshmi Saravanan, Kothari Dwarkadas Pralhaddas, Dwarkadas Pralhaddas Kothari, Isaac Woungang:
An optimizing pipeline stall reduction algorithm for power and performance on multi-core CPUs. Hum. centric Comput. Inf. Sci. 5: 2 (2015) - [j4]Vijayalakshmi Saravanan, Alagan Anpalagan, Dwarkadas Pralhaddas Kothari, Isaac Woungang:
Erratum to: An optimizing pipeline stall reduction algorithm for power and performance on multi-core CPUs. Hum. centric Comput. Inf. Sci. 5: 9 (2015) - [j3]Vijayalakshmi Saravanan, Alagan Anpalagan, Isaac Woungang:
An energy-delay product study on chip multi-processors for variable stage pipelining. Hum. centric Comput. Inf. Sci. 5: 28 (2015) - 2014
- [j2]Vijayalakshmi Saravanan, Alagan Anpalagan, Dwarkadas Pralhaddas Kothari, Isaac Woungang, Mohammad S. Obaidat:
An analytical study of resource division and its impact on power and performance of multi-core processors. J. Supercomput. 68(3): 1265-1279 (2014) - [j1]Vijayalakshmi Saravanan, Alagan Anpalagan, Dwarkadas Pralhaddas Kothari, Isaac Woungang, Mohammad S. Obaidat:
A comparative simulation study on the power-performance of multi-core architecture. J. Supercomput. 70(1): 465-487 (2014)
Conference and Workshop Papers
- 2023
- [c5]Vijayalakshmi Saravanan, Acharya Pramod, Laxman Poudel, Praveen Paramasivam:
Predictive Precision: LSTM-Based Analytics for Real-time Stock Market Visualization. IEEE Big Data 2023: 1-6 - 2022
- [c4]Vijayalakshmi Saravanan, Gang Wan, Anju S. Pillai:
Exploration of an Enhanced Scheduling Approach with Feasibility Analysis on a Single CPU System. MCSoC 2022: 180-186 - 2016
- [c3]Shixiong Jiang, Vijayalakshmi Saravanan, Pengzhan Yan, Ramalingam Sridhar:
A fully parallel content addressable memory design using multi-bank structure. SoCC 2016: 338-343 - 2013
- [c2]Vijayalakshmi Saravanan, Alagan Anpalagan, Dwarkadas Pralhaddas Kothari:
Power-performance of multi-threaded multi-core processor: Analysis, optimization and simulation. HPCS 2013: 674-677 - [c1]Vijayalakshmi Saravanan, S. Kaushik, P. Sai Krishna, Dwarkadas Pralhaddas Kothari:
Performance analysis of multi-threaded multi-core CPUs. MES 2013: 49-53
Informal and Other Publications
- 2024
- [i1]Vijayalakshmi Saravanan, Perry Siehien, Shinjae Yoo, Hubertus Van Dam, Thomas Flynn, Christopher Kelly, Khaled Z. Ibrahim:
An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM. CoRR abs/2402.10291 (2024)
Coauthor Index
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