Power-performance of multi-threaded multi-core processor: Analysis, optimization and simulation. - Vijayalakshmi Saravanan; Alagan Anpalagan; Dwarkadas Pralhaddas Kothari (HPCS, 2013)

Performance analysis of multi-threaded multi-core CPUs. - Vijayalakshmi Saravanan; S. Kaushik; P. Sai Krishna; Dwarkadas Pralhaddas Kothari (MES, 2013)

An analytical study of resource division and its impact on power and performance of multi-core processors. - Vijayalakshmi Saravanan; Alagan Anpalagan; Dwarkadas Pralhaddas Kothari; Isaac Woungang; Mohammad S. Obaidat (J. Supercomput., 2014)

A comparative simulation study on the power-performance of multi-core architecture. - Vijayalakshmi Saravanan; Alagan Anpalagan; Dwarkadas Pralhaddas Kothari; Isaac Woungang; Mohammad S. Obaidat (J. Supercomput., 2014)

Erratum to: An optimizing pipeline stall reduction algorithm for power and performance on multi-core CPUs. - Vijayalakshmi Saravanan; Alagan Anpalagan; Dwarkadas Pralhaddas Kothari; Isaac Woungang (Hum. centric Comput. Inf. Sci., 2015)

An energy-delay product study on chip multi-processors for variable stage pipelining. - Vijayalakshmi Saravanan; Alagan Anpalagan; Isaac Woungang (Hum. centric Comput. Inf. Sci., 2015)

An optimizing pipeline stall reduction algorithm for power and performance on multi-core CPUs. - Vijayalakshmi Saravanan; Kothari Dwarkadas Pralhaddas; Dwarkadas Pralhaddas Kothari; Isaac Woungang (Hum. centric Comput. Inf. Sci., 2015)

A fully parallel content addressable memory design using multi-bank structure. - Shixiong Jiang; Vijayalakshmi Saravanan; Pengzhan Yan; Ramalingam Sridhar (SoCC, 2016)

A genetic algorithm-based method for optimizing the energy consumption and performance of multiprocessor systems. - Anju S. Pillai; Kaumudi Singh; Vijayalakshmi Saravanan; Alagan Anpalagan; Isaac Woungang; Leonard Barolli (Soft Comput., 2018)

Blockchain based integrated security measure for reliable service delegation in 6G communication environment. - Gunasekaran Manogaran; Bharat S. Rawal; Vijayalakshmi Saravanan; Priyan Malarvizhi Kumar; Oscar Sanjuán Martínez; Rubén González Crespo; Carlos Enrique Montenegro-Marín; Sujatha Krishnamoorthy (Comput. Commun., 2020)

Achieving data security and privacy across healthcare applications using cyber security mechanisms. - Shanying Zhu; Vijayalakshmi Saravanan; BalaAnand Muthu (Electron. Libr., 2020)

Cloud computing with AI for banking and e-commerce applications. - Maonan Xue; Guoyi Xiu; Vijayalakshmi Saravanan; Carlos Enrique Montenegro-Marín (Electron. Libr., 2021)

Internet of things forensic data analysis using machine learning to identify roots of data scavenging. - P. Mohamed Shakeel; S. Baskar 002; Hassan Fouad; Gunasekaran Manogaran; Vijayalakshmi Saravanan; Carlos Enrique Montenegro-Marín (Future Gener. Comput. Syst., 2021)

Regression Model-based Feature Filtering for Improving Hemorrhage Detection Accuracy in Diabetic Retinopathy Treatment. - Sujatha Krishnamoorthy; A. Shanthini; Gunasekaran Manogaran; Vijayalakshmi Saravanan; Adhiyaman Manickam; R. Dinesh Jackson Samuel (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021)

Impact of intelligence methodologies on education and training process. - Vijayalakshmi Saravanan (J. Intell. Fuzzy Syst., 2021)

Creating Collision-Free Communication in IoT with 6G Using Multiple Machine Access Learning Collision Avoidance Protocol. - P. Mohamed Shakeel; S. Baskar 002; Hassan Fouad; Gunasekaran Manogaran; Vijayalakshmi Saravanan; Qin Xin 001 (Mob. Networks Appl., 2021)

ADC-CF: Adaptive deep concatenation coder framework for visual question answering. - Gunasekaran Manogaran; Pethuraj Mohamed Shakeel; Burhanuddin Mohd Aboobaider; S. Baskar 002; Vijayalakshmi Saravanan; Rubén González Crespo; Oscar Sanjuán Martínez (Pattern Recognit. Lett., 2021)

A Hybrid CNN-LSTM: A Deep Learning Approach for Consumer Sentiment Analysis Using Qualitative User-Generated Contents. - Praphula Kumar Jain; Vijayalakshmi Saravanan; Rajendra Pamula (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

SACNN: Self-attentive Convolutional Neural Network Model for Natural Language Inference. - Waris Quamer; Praphula Kumar Jain; Arpit Rai; Vijayalakshmi Saravanan; Rajendra Pamula; Chiranjeev Kumar (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

Machine Learning Assisted Information Management Scheme in Service Concentrated IoT. - Gunasekaran Manogaran; Mamoun Alazab; Vijayalakshmi Saravanan; Bharat S. Rawal; P. Mohamed Shakeel; Revathi Sundarasekar; Senthil Murugan Nagarajan 001; Seifedine Nimer Kadry; Carlos Enrique Montenegro-Marín (IEEE Trans. Ind. Informatics, 2021)

Information-Centric Content Management Framework for Software Defined Internet of Vehicles Towards Application Specific Services. - Gunasekaran Manogaran; Vijayalakshmi Saravanan; Ching-Hsien Hsu (IEEE Trans. Intell. Transp. Syst., 2021)

Exploration of an Enhanced Scheduling Approach with Feasibility Analysis on a Single CPU System. - Vijayalakshmi Saravanan; Gang Wan; Anju S. Pillai (MCSoC, 2022)

Optimal Energy-Centric Resource Allocation and Offloading Scheme for Green Internet of Things Using Machine Learning. - Gunasekaran Manogaran; Bharat S. Rawal; Houbing Song; Huihui Wang 001; Chinghsien Hsu; Vijayalakshmi Saravanan; Seifedine Nimer Kadry; P. Mohamed Shakeel (ACM Trans. Internet Techn., 2022)

Token-Based Authorization and Authentication for Secure Internet of Vehicles Communication. - Gunasekaran Manogaran; Bharat S. Rawal; Vijayalakshmi Saravanan; Priyan Malarvizhi Kumar; Qin Xin 001; P. Mohamed Shakeel (ACM Trans. Internet Techn., 2022)

Predictive Precision: LSTM-Based Analytics for Real-time Stock Market Visualization. - Vijayalakshmi Saravanan; Acharya Pramod; Laxman Poudel; Praveen Paramasivam (IEEE Big Data, 2023)

SpSAN: Sparse self-attentive network-based aspect-aware model for sentiment analysis. - Praphula Kumar Jain; Waris Quamer; Rajendra Pamula; Vijayalakshmi Saravanan (J. Ambient Intell. Humaniz. Comput., 2023)

Employing BERT-DCNN with sentic knowledge base for social media sentiment analysis. - Praphula Kumar Jain; Waris Quamer; Vijayalakshmi Saravanan; Rajendra Pamula (J. Ambient Intell. Humaniz. Comput., 2023)

Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning. - Dilli Babu Salvakkam; Vijayalakshmi Saravanan; Praphula Kumar Jain; Rajendra Pamula (Cogn. Comput., 2023)

A Systematic Study of Parallelization Strategies for Optimizing Scientific Computing Performance Bounds. - Vijayalakshmi Saravanan; Sai Karthik Navuluru; Khaled Z. Ibrahim (SOCC, 2024)

An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM. - Vijayalakshmi Saravanan; Perry Siehien; Shinjae Yoo; Hubertus Van Dam; Thomas Flynn 001; Christopher Kelly; Khaled Z. Ibrahim (CoRR, 2024)

Machine learning for mobile network payment security evaluation system. - Fei Wang 126; Nan Yang; Pethuraj Mohamed Shakeel; Vijayalakshmi Saravanan (Trans. Emerg. Telecommun. Technol., 2024)