Items where Division is "Information Technology" and Year is 2021

Group by: VELS Creators | Item Type | No Grouping
Number of items: 23.

Akila, D. and Bhaumik, Amiya and Duraisamy, Balaganesh and Suseendran, G. and Pal, Souvik (2021) Improved Nature-Inspired Algorithms in Cloud Computing for Load Balancing. In: Improved Nature-Inspired Algorithms in Cloud Computing for Load Balancing. Springer, pp. 547-558.

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.

Anandkumar, V. and Diwakaran, M. and Sivabalan, K.N. and Balakrishna, R. (2021) Research Challenges in Future Internet of Things (IoT) Applications and Technologies. In: 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India.

Hemavathi, D. and Kumar, V. Ramesh and Regin, R. and Rajest, S. Suman and Phasinam, Khongdet and Singh, Saurabh (2021) Technical Support for Detection and Prediction of Rainfall. In: 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India.

Humayun, Mamoona and Jhanjhi, N. Z. and Talib, M. N. and Shah, Mudassar Hussain and Suseendran, G. (2021) Cybersecurity for Data Science: Issues, Opportunities, and Challenges. In: Lecture Notes in Networks and Systems. Springer, pp. 435-444.

Jayaraman, Vaishnavi and Parthasarathy, Saravanan and Lakshminarayanan, Arun Raj and Sridevi, S. (2021) Crop Recommendation by Analysing the Soil Nutrients Using Machine Learning Techniques: A Study. In: Crop Recommendation by Analysing the Soil Nutrients Using Machine Learning Techniques: A Study. Springer, pp. 15-26.

Jevalaksshmi, S. and Shankari, K. Hema and Mathivilasini, S. and Jabeen, T.Nusrat and Maheswari, K. and Akila, D (2021) Prediction and Analysis in High Utility Pattern Mining Using List Based HUPM Algorithm. In: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India.

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.

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.

Kiruthiga, R. and Akila, D. (2021) Prediction-Based Cost-Efficient Resource Allocation Scheme for Big Data Streams in Cloud Systems. In: Prediction-Based Cost-Efficient Resource Allocation Scheme for Big Data Streams in Cloud Systems. Springer, pp. 233-242.

Lavanya, S. and Akila, D. (2021) Prediction Performance of Crime Against Women Using Rule Based Decision Tree J48 Classification Algorithms in various states of India. In: 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates.

Preethi, I. and Dharmarajan, K. (2021) Diagnosis of chronic disease in a predictive model using machine learning algorithm. 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE). pp. 191-196.

Punitha, A. and Sasirekha, D. and Dhanalakshmi, R. S. and Devi, K. Aruna and Suseendran, G. (2021) Deep Learning in Image Signal Processing for Minimal Method by Using Kernel DBN. In: Lecture Notes in Networks and Systems. Springer, pp. 41-50.

Sharma, D.K. and Jalil, Nasir Abdul and Regin, R. and Rajest, S. Suman and Tummala, Rama Krishna and N, Thangadurai (2021) Predicting Network Congestion with Machine Learning. In: 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India.

Souvik Pal1,, K and Sonali Bhattacharyya,, B and Srinath Dosss, K and Akila4,, D (2021) HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION USING NSCT AND FDCT METHODS. Journal of critical reviews, 7 (05). ISSN 23945125

Sudha, K.K. and Sujatha, P. (2021) Robust and Rapid Fabric Defect Detection Using EGNet. In: 2021 4th International Conference on Computing and Communications Technologies (ICCCT), Chennai, India.

Sujatha, P. and Dhivya, R. S. (2021) Qualitative Assessment of Machine Learning Classifiers for Employee Performance Prediction. In: Lecture Notes in Networks and Systems. Springer, pp. 339-349.

Suseendran, G. and Akila, D. and Balaganesh, D. and Elangovan, V.R. and Vijayalakshmi, V. (2021) Incremental Multi-Feature Tensor Subspace Learning Based Smart Traffic Control System and Traffic Density Calculation Using Image Processing. In: 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates.

Suseendran, G. and Doss, Srinath and Pal, Souvik and Dey, Niti and Quang Cuong, Ton (2021) An Approach on Data Visualization and Data Mining with Regression Analysis. In: Advances in Intelligent Systems and Computing. Springer, pp. 649-660.

Suseendran1,, G and Chandrasekaran, E and Akila, D and Balaganesh, D (2021) AUTOMATIC SEED CLASSIFICATION BY MULTI-LAYER NEURAL NETWORK WITH SPATIAL-FEATURE EXTRACTION. Journal of critical reviews, 7 (02). ISSN 23945125

Thiyagaraj, M. and Suseendran, G. (2021) Enhanced Prediction of Heart Disease Using Particle Swarm Optimization and Rough Sets with Transductive Support Vector Machines Classifier. Enhanced Prediction of Heart Disease Using Particle Swarm Optimization and Rough Sets with Transductive Support Vector Machines Classifier. pp. 141-152.

Vijayarangam, J. and Kamalakkannan, S. and Smiles, J. Anita (2021) A Novel Comparison of Neural Network and Decision Tree as Classifiers using R. In: 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India.

Vijaykumar, Hannah and Jabeen, T. Nusrat and Nirmala, R. and Gayathri, S. and Suseendran, G. (2021) Deep Learning in Image Recognition for Easy Sketching Techniques. In: Lecture Notes in Networks and Systems. Springer, pp. 31-40.

This list was generated on Fri Mar 14 02:10:32 2025 IST.