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Jay Rajasekera
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Journal Articles
- 2023
- [j10]Saw Thiha, Jay Rajasekera:
Efficient Online Engagement Analytics Algorithm Toolkit That Can Run on Edge. Algorithms 16(2): 86 (2023) - 2022
- [j9]Janith Kodithuwakku, Dilki Dandeniya Arachchi, Jay Rajasekera:
An Emotion and Attention Recognition System to Classify the Level of Engagement to a Video Conversation by Participants in Real Time Using Machine Learning Models and Utilizing a Neural Accelerator Chip. Algorithms 15(5): 150 (2022) - 2010
- [j8]Jay Rajasekera, Shantanu Dayal:
Using Kansei Engineering with new JIT to accomplish cost advantage. Int. J. Biom. 2(2): 163-172 (2010) - 2001
- [j7]J. R. Rajasekera, M. Yamada:
Estimating the Firm Value Distribution Function by Entropy Optimization and Geometric Programming. Ann. Oper. Res. 105(1-4): 61-75 (2001) - 1995
- [j6]Shu-Cherng Fang, J. R. Rajasekera:
Entropy Optimization Models with Convex Constraints. Inf. Comput. 116(2): 304-311 (1995) - 1991
- [j5]J. R. Rajasekera, Shu-Cherng Fang:
On the convex programming approach to linear programming. Oper. Res. Lett. 10(6): 309-312 (1991) - 1989
- [j4]Shu-Cherng Fang, J. R. Rajasekera:
Quadratically constrained minimum cross-entropy analysis. Math. Program. 44(1-3): 85-96 (1989) - 1987
- [j3]Shu-Cherng Fang, Jay Rajasekera:
A perturbation approach to the main duality theorem of quadratic geometric programming. Z. Oper. Research 31(3) (1987) - 1986
- [j2]Shu-Cherng Fang, Jay Rajasekera:
Controlled dual perturbations for l p -programming. Z. Oper. Research 30(1) (1986) - [j1]Shu-Cherng Fang, J. R. Rajasekera:
Controlled perturbations for quadratically constrained quadratic programs. Math. Program. 36(3): 276-289 (1986)
Conference and Workshop Papers
- 2002
- [c1]Qi Xiao Yang, Sam Yuan Sung, Chun Lu, Jay Rajasekera:
An Important Issue in Data Mining : Data Cleaning. PACLIC 2002: 455-464
Coauthor Index
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