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Manish Pandey
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2020 – today
- 2024
- [j13]Kalyani Roy, Pawan Goyal, Manish Pandey:
Exploring generative frameworks for product attribute value extraction. Expert Syst. Appl. 243: 122850 (2024) - [j12]Remco van der Hofstad, Manish Pandey:
Connectivity of random graphs after centrality-based vertex removal. J. Appl. Probab. 61(3): 967-998 (2024) - [j11]Lalit Kumar, Manish Pandey, Mitul Kumar Ahirwal:
A Survey on Parallel Nature Inspired Algorithms. Wirel. Pers. Commun. 138(3): 1893-1918 (2024) - [c16]Manish Pandey, Harkeerat Kaur, Sudipta Basak, Isao Echizen:
Privacy-Preserving Location-Based Services: A DQN Algorithmic Perspective. AINA (4) 2024: 384-399 - [c15]Manish Pandey, Young-Woo Kwon:
FuncMem: Reducing Cold Start Latency in Serverless Computing Through Memory Prediction and Adaptive Task Execution. SAC 2024: 131-138 - 2023
- [j10]Duong Tran Anh, Manish Pandey, Varun Narayan Mishra, Kiran Kumari Singh, Kourosh Ahmadi, Saeid Janizadeh, Thanh-Hai Tran, Nguyen Thi Thuy Linh, Nguyen Mai Dang:
Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm. Appl. Soft Comput. 132: 109848 (2023) - [j9]Lalit Kumar, Manish Pandey, Mitul Kumar Ahirwal:
Parallel Global Best-Worst Particle Swarm Optimization Algorithm for solving optimization problems. Appl. Soft Comput. 142: 110329 (2023) - [j8]Khushboo Singh, Mitul Kumar Ahirwal, Manish Pandey:
Subject wise data augmentation based on balancing factor for quaternary emotion recognition through hybrid deep learning model. Biomed. Signal Process. Control. 86(Part A): 105075 (2023) - [j7]Santosh Kumar Sahu, Manish Pandey:
An optimal hybrid multiclass SVM for plant leaf disease detection using spatial Fuzzy C-Means model. Expert Syst. Appl. 214: 118989 (2023) - [j6]Khushboo Singh, Mitul Kumar Ahirwal, Manish Pandey:
Quaternary classification of emotions based on electroencephalogram signals using hybrid deep learning model. J. Ambient Intell. Humaniz. Comput. 14(3): 2429-2441 (2023) - [j5]Khushboo Singh, Mitul Kumar Ahirwal, Manish Pandey:
Mental Health Monitoring Using Deep Learning Technique for Early-Stage Depression Detection. SN Comput. Sci. 4(6): 701 (2023) - [j4]Santosh Kumar Sahu, Manish Pandey:
Hybrid Xception transfer learning with crossover optimized kernel extreme learning machine for accurate plant leaf disease detection. Soft Comput. 27(19): 13797-13811 (2023) - [c14]Manish Pandey, Young-Woo Kwon:
Optimizing Memory Allocation in a Serverless Architecture through Function Scheduling. CCGridW 2023: 275-277 - 2021
- [j3]Romulus Costache, Alireza Arabameri, Thomas Blaschke, Quoc Bao Pham, Binh Thai Pham, Manish Pandey, Aman Arora, Nguyen Thi Thuy Linh, Iulia Costache:
Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. Sensors 21(1): 280 (2021) - [c13]Irshad Khan, Manish Pandey, Young-Woo Kwon:
An earthquake alert system based on a collaborative approach using smart devices. MOBILESoft@ICSE 2021: 61-64 - [c12]Manish Pandey, Breno Dantas Cruz, Minh Le, Young-Woo Kwon, Eli Tilevich:
Here, There, Anywhere: Profiling-Driven Services to Tame the Heterogeneity of Edge Applications. SMDS 2021: 61-71 - 2020
- [c11]Raviv Gal, David Z. Pan, Haoxing Ren, Manish Pandey, Marilyn Wolf, Avi Ziv:
ML for CAD - Where is the Treasure Hiding? MLCAD 2020: 137 - [d1]Manish Pandey:
Case Fatality Rate, Attack Rate Data of COVID-19. IEEE DataPort, 2020 - [i1]Sina J. Semnani, Manish Pandey:
Revisiting the Open-Domain Question Answering Pipeline. CoRR abs/2009.00914 (2020)
2010 – 2019
- 2019
- [c10]Manish Pandey, Rituparna Datta, Rajarshi Dey, Bishakh Bhattacharya:
Multi-objective Optimisation of Dynamic Responses for a Rail Freight Wagon using Regression Models. ICCI*CC 2019: 361-365 - 2018
- [c9]Manish Pandey:
Machine learning and systems for building the next generation of EDA tools. ASP-DAC 2018: 411-415 - 2017
- [c8]Manish Pandey, P. K. Sharma:
Remote sensing and GIS based watershed prioritization. IGARSS 2017: 6182-6185 - 2016
- [c7]Manish Pandey:
Machine learning and systems for the next frontier in formal verification. FMCAD 2016: 4
2000 – 2009
- 2003
- [j2]Li-C. Wang, Tao Feng, Kwang-Ting (Tim) Cheng, Magdy S. Abadir, Manish Pandey:
Enhanced Symbolic Simulation for Functional Verification of Embedded Array Systems. Des. Autom. Embed. Syst. 8(2-3): 173-188 (2003) - [c6]Tao Feng, Li-C. Wang, Kwang-Ting Cheng, Manish Pandey, Magdy S. Abadir:
Enhanced symbolic simulation for efficient verification of embedded array systems. ASP-DAC 2003: 302-307
1990 – 1999
- 1999
- [j1]Manish Pandey, Randal E. Bryant:
Exploiting symmetry when verifying transistor-level circuits by symbolic trajectory evaluation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 18(7): 918-935 (1999) - 1997
- [c5]Manish Pandey, Randal E. Bryant:
Exploiting Symmetry When Verifying Transitor-Level Circuits by Symbolic Trajectory Evaluation. CAV 1997: 244-255 - [c4]Manish Pandey, Richard Raimi, Randal E. Bryant, Magdy S. Abadir:
Formal Verification of Content Addressable Memories Using Symbolic Trajectory Evaluation. DAC 1997: 167-172 - 1996
- [c3]Manish Pandey, Richard Raimi, Derek L. Beatty, Randal E. Bryant:
Formal Verification of PowerPC Arrays Using Symbolic Trajectory Evaluation. DAC 1996: 649-654 - [c2]Neeta Ganguly, Magdy S. Abadir, Manish Pandey:
PowerPCTM Array Verification Methodology using Formal Techniques. ITC 1996: 857-864 - 1995
- [c1]Manish Pandey, Alok Jain, Randal E. Bryant, Derek L. Beatty, Gary York, Samir Jain:
Extraction of finite state machines from transistor netlists by symbolic simulation. ICCD 1995: 596-601
Coauthor Index
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last updated on 2024-11-07 20:31 CET by the dblp team
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