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Raja Das
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2020 – today
- 2024
- [j14]Jithendra Thandra
, Mohammad Zubair Khan
A Novel QoS Prediction Model for Web Services Based on an Adaptive Neuro-Fuzzy Inference System Using COOT Optimization. IEEE Access 12: 6993-7008 (2024) - [j13]Potharla Ramadevi, Raja Das
An Extensive Analysis of Machine Learning Techniques With Hyper-Parameter Tuning by Bayesian Optimized SVM Kernel for the Detection of Human Lung Disease. IEEE Access 12: 97752-97770 (2024) - [j12]Priyanka Chandra
Design of a unified physics-informed neural network using interior point algorithm to study the bioconvection nanofluid flow via stretching surface. Eng. Appl. Artif. Intell. 133: 108647 (2024) - [j11]Balakrishnama Manohar, Raja Das, M. Lakshmi:
A hybridized LSTM-ANN-RSA based deep learning models for prediction of COVID-19 cases in Eastern European countries. Expert Syst. Appl. 256: 124977 (2024) - [j10]M. Lakshmi, Raja Das
A new COVID-19 classification approach based on Bayesian optimization SVM kernel using chest X-ray datasets. Evol. Syst. 15(4): 1521-1540 (2024) - [c19]Raja Das
Brief Announcement: Perpetual Exploration of Triangular Grid by Myopic Oblivious Robots Without Chirality. SSS 2024: 156-160 - [i2]Pritam Goswami, Adri Bhattacharya, Raja Das, Partha Sarathi Mandal:
Perpetual Exploration of a Ring in Presence of Byzantine Black Hole. CoRR abs/2407.05280 (2024) - 2023
- [j9]Balakrishnama Manohar
Artificial neural networks for prediction of COVID-19 in India by using backpropagation. Expert Syst. J. Knowl. Eng. 40(5) (2023) - [j8]Raja Das, Jaykumar Bhasarkar, Amol Rastogi, Raghav Saxena, Dharmendra Kumar Bal:
Artificial neural network-based pore size prediction of alginate gel scaffold for targeted drug delivery. Neural Comput. Appl. 35(6): 4683-4699 (2023) - 2022
- [i1]Raja Das, Avisek Sharma, Buddhadeb Sau:
Maximum Independent Set Formation on a Finite Grid by Myopic Robots. CoRR abs/2207.13403 (2022) - 2021
- [j7]Amrut Ranjan Jena, Raja Das
An integrated approach for prediction of radial overcut in electro discharge machining using fuzzy graph recurrent neural network. Int. J. Embed. Syst. 14(4): 345-354 (2021)
2010 – 2019
- 2011
- [c18]Zhi Da Luo, Raja Das, Yao Qi:
Multicore SDK: A Practical and Efficient Deadlock Detector for Real-World Applications. ICST 2011: 309-318 - [r1]Joel H. Saltz, Raja Das:
Run Time Parallelization. Encyclopedia of Parallel Computing 2011: 1765-1771 - 2010
- [c17]Yao Qi, Yarden Nir-Buchbinder, Eitan Farchi, Raja Das, Zhi Da Luo, Zhi Gan:
Unit testing for concurrent business code. PDATAD 2010: 37-47 - [c16]Zhi Da Luo, Linda Hillis, Raja Das, Yao Qi:
Effective Static Analysis to Find Concurrency Bugs in Java. SCAM 2010: 135-144
2000 – 2009
- 2009
- [c15]Yao Qi, Raja Das, Zhi Da Luo, Martin Trotter:
MulticoreSDK: a practical and efficient data race detector for real-world applications. PADTAD 2009 - 2003
- [c14]Santhosh Kumaran, Prabir Nandi, Terry Heath, Kumar Bhaskaran, Raja Das:
ADoc-Oriented Programming. SAINT 2003: 334-343 - 2002
- [c13]Zongwei Luo, Raja Das, Kumar Bhaskaran, Santhosh Kumaran, John Y. Sayah:
Web Services Gateway: The Building Block for Business Connections and Dynamic e-Business. International Conference on Internet Computing 2002: 779-785 - 2001
- [c12]Raja Das, Yuan-Shin Hwang, Joel H. Saltz, Alan Sussman:
Runtime and Compiler Support for Irregular Computations. Compiler Optimizations for Scalable Parallel Systems Languages 2001: 751-778 - [c11]Kumar Bhaskaran, Jen-Yao Chung, Raja Das, Terry Heath, Santhosh Kumaran, Prabir Nandi:
An e-Business Integration & Collaboration Platform for B2B e-Commerce. WECWIS 2001: 120-122
1990 – 1999
- 1998
- [c10]John Rachlin, Richard Goodwin, Sesh Murthy, Rama Akkiraju, Frederick Y. Wu, Santhosh Kumaran, Raja Das:
A-Teams: An Agent Architecture for Optimization and Decision Support. ATAL 1998: 261-276 - 1997
- [j6]Joel H. Saltz, Gagan Agrawal, Chialin Chang, Raja Das, Guy Edjlali, Paul Havlak, Yuan-Shin Hwang, Bongki Moon, Ravi Ponnusamy, Shamik D. Sharma, Alan Sussman
Programming Irregular Applications: Runtime Support, Compilation and Tools. Adv. Comput. 45: 105-153 (1997) - 1995
- [j5]Ravi Ponnusamy, Yuan-Shin Hwang, Raja Das, Joel H. Saltz, Alok N. Choudhary, Geoffrey C. Fox:
Supporting irregular distributions using data-parallel languages. IEEE Parallel Distributed Technol. Syst. Appl. 3(1): 12-24 (1995) - [j4]Yuan-Shin Hwang, Bongki Moon, Shamik D. Sharma, Ravi Ponnusamy, Raja Das, Joel H. Saltz:
Runtime and Language Support for Compiling Adaptive Irregular Programs on Distributed-memory Machines. Softw. Pract. Exp. 25(6): 597-621 (1995) - [j3]Janet Wu, Raja Das, Joel H. Saltz, Harry Berryman, Seema Hiranandani:
Distributed Memory Compiler Design for Sparse Problems. IEEE Trans. Computers 44(6): 737-754 (1995) - [j2]Dimitri J. Mavriplis, Raja Das, Joel H. Saltz, R. E. Vermeland:
Implementation of a parallel unstructured Euler solver on shared- and distributed-memory architectures. J. Supercomput. 8(4): 329-344 (1995) - [c9]Gagan Agrawal, Joel H. Saltz, Raja Das:
Interprocedural Partial Redundancy Elimination and its Application to Distributed Memory Compilation. PLDI 1995: 258-269 - [c8]Raja Das, Paul Havlak, Joel H. Saltz, Ken Kennedy:
Index Array Flattening Through Program Transformation. SC 1995: 70 - 1994
- [j1]Raja Das, Mustafa Uysal, Joel H. Saltz, Yuan-Shin Hwang:
Communication Optimizations for Irregular Scientific Computations on Distributed Memory Architectures. J. Parallel Distributed Comput. 22(3): 462-478 (1994) - [c7]Shamik D. Sharma, Ravi Ponnusamy, Bongki Moon, Yuan-Shin Hwang, Raja Das, Joel H. Saltz:
Run-time and compile-time support for adaptive irregular problems. SC 1994: 97-106 - 1993
- [c6]Raja Das, Joel H. Saltz, Reinhard von Hanxleden:
Slicing Analysis and Indirect Accesses to Distributed Arrays. LCPC 1993: 152-168 - [c5]Raja Das, Joel H. Saltz:
Parallelizing Molecular Dynamics Codes using the Parti Software Primitives. PPSC 1993: 187-192 - 1992
- [c4]Reinhard von Hanxleden, Ken Kennedy, Charles Koelbel, Raja Das, Joel H. Saltz:
Compiler Analysis for Irregular Problems in Fortran D. LCPC 1992: 97-111 - [c3]Dimitri J. Mavriplis, Raja Das, R. E. Vermeland, Joel H. Saltz:
Implementation of a Parallel Unstructured Euler Solver on Shared and Distributed Memory Architectures. SC 1992: 132-141 - [c2]Ravi Ponnusamy, Joel H. Saltz, Raja Das, Charles Koelbel, Alok N. Choudhary:
Embedding Data Mappers with Distributed Memory Machine Compilers. SIGPLAN Workshop 1992: 52-55 - 1991
- [c1]Raja Das, Joel H. Saltz, Dimitri J. Mavriplis, Janet Wu, Harry Berryman:
Unstructured Mesh Problems, PARTI Primitives, and the ARF Compiler. PP 1991: 570-572
Coauthor Index
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last updated on 2024-12-02 21:28 CET by the dblp team
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