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- A. S. Krishnakumar
aka: Anjur Sundaresan Krishnakumar - Swapna Krishnakumar Radha
- Krishnakumar Sundaresan
- Sriharini Krishnakumar
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Publication search results
found 302 matches
- 2024
- K. Rameshkumar, Kaviarasu Nataraj, P. Krishnakumar, M. Saimurugan:
Machine Learning Approach for Predicting the Solid Particle Lubricant Contamination in a Spherical Roller Bearing. IEEE Access 12: 78680-78700 (2024) - Benjamin Warnke, Kevin Martens, Tobias Winker, Sven Groppe, Jinghua Groppe, Prasad Adhiyaman, Sruthi Srinivasan, Shridevi Krishnakumar:
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL. Big Data Cogn. Comput. 8(7): 71 (2024) - Zili Wang, Panchamy Krishnakumari, Kumar Anupam, Hans van Lint, Sandra Erkens:
A causal discovery approach to study key mixed traffic-related factors and age of highway affecting raveling. Comput. Aided Civ. Infrastructure Eng. 39(19): 2861-2880 (2024) - Anish Krishnakumar, Hanguang Yu, Tutu Ajayi, A. Alper Goksoy, Vishrut Pandey, Joshua Mack, Md Sahil Hassan, Kuan-Yu Chen, Chaitali Chakrabarti, Daniel W. Bliss, Ali Akoglu, Hun-Seok Kim, Ronald G. Dreslinski, David T. Blaauw, Ümit Y. Ogras:
FALCON: An FPGA Emulation Platform for Domain-Specific SoCs (DSSoCs). IEEE Des. Test 41(1): 70-80 (2024) - Anil Kumar Chillara, Paresh Saxena, Rajib Ranjan Maiti, Manik Gupta, Raghu Kondapalli, Zhichao Zhang, Krishnakumar Kesavan:
Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards. Int. J. Inf. Sec. 23(3): 2043-2061 (2024) - Kalaivanan Karunanithy, Bhanumathi Velusamy, Sivasankari Krishnakumar, V. Jawahar Senthilkumar:
Energy-Efficient Data Routing in Landslide-Prone Area Using Wireless Sensor Networks With Drone. IEEE Internet Things J. 11(3): 4497-4507 (2024) - Mary Jaya V. J., Krishnakumar S.:
Multi-classification approach for lung nodule detection and classification with proposed texture feature in X-ray images. Multim. Tools Appl. 83(2): 3497-3524 (2024) - Krishnakumar Subramaniam, Archana Naganathan:
Enhancing retinal fundus image classification through Active Gradient Deep Convolutional Neural Network and Red Spider Optimization. Neural Comput. Appl. 36(26): 16607-16619 (2024) - Sanchana Krishnakumar, Bert-Jan F. van Beijnum, Chris T. M. Baten, Peter H. Veltink, Jaap H. Buurke:
Estimation of Kinetics Using IMUs to Monitor and Aid in Clinical Decision-Making during ACL Rehabilitation: A Systematic Review. Sensors 24(7): 2163 (2024) - Sarath Gopalakrishnan, Muhammad Masud Rana, Michael Anthony Curry, Akshay Krishnakumar, Rahim Rahimi:
Sticker-Type Remote Monitoring System for Early Risk Detection of Catheter Associated Urinary Tract Infections. IEEE Trans. Biomed. Eng. 71(7): 2070-2079 (2024) - Kishore Kumar Balaji, Megha Krishnakumar, Sumathi Sokkanarayanan, Sharanya Rajan, Mithileysh Sathiyanarayanan:
Dementia: Opportunities and Challenges of Technology-Assisted Interventions. COMSNETS 2024: 74-79 - Sriharini Krishnakumar, Yaroslav Popryho, Inna Partin-Vaisband:
System Architecture Optimization for Vertical Power Delivery. ACM Great Lakes Symposium on VLSI 2024: 351-352 - Joonho Whangbo, Edwin Lim, Chengyi Lux Zhang, Kevin Anderson, Abraham Gonzalez, Raghav Gupta, Nivedha Krishnakumar, Sagar Karandikar, Borivoje Nikolic, Yakun Sophia Shao, Krste Asanovic:
FireAxe: Partitioned FPGA-Accelerated Simulation of Large-Scale RTL Designs. ISCA 2024: 501-515 - Sriharini Krishnakumar, Mingeun Choi, Ramin Rahimzadeh Khorasani, Rohit Sharma, Madhavan Swaminathan, Satish Kumar, Inna Partin-Vaisband:
Design Considerations for DC-DC Voltage Regulators in Distributed Vertical Power Delivery Systems. ISCAS 2024: 1-5 - 2023
- Karthikumar Kuppusamy, Senthil Kumar Vairakannu, Marimuthu Karuppiah, Udhayaraj Natarajan, Krishnakumar Sekar:
An SOA-RBFNN approach for the system modelling of optimal energy management in grid-connected smart grid system. Artif. Intell. Rev. 56(5): 4171-4196 (2023) - Iain Barclay, Alun D. Preece, Ian J. Taylor, Swapna Krishnakumar Radha, Jarek Nabrzyski:
Providing assurance and scrutability on shared data and machine learning models with verifiable credentials. Concurr. Comput. Pract. Exp. 35(18) (2023) - S. Arockia Panimalar, A. Krishnakumar:
Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with Weight Updated Tuned Naïve Bayes classification with Block-Jacobi SVD dimensionality reduction. Eng. Appl. Artif. Intell. 126: 107015 (2023) - Bejoy Varghese, S. Krishnakumar:
Storage space reduction in picture archiving and communication system using generative adversarial network. Int. J. Ad Hoc Ubiquitous Comput. 43(1): 41-52 (2023) - K. Krishnakumari, E. Sivasankar:
Aspect-based summarisation in the big data environment. Int. J. Adv. Intell. Paradigms 25(1/2): 68-83 (2023) - Vahram Stepanyan, Stefan Schuet, Kalmanje Krishnakumar:
Optimal Service Migration for Data and Reasoning Fabric. J. Aerosp. Inf. Syst. 20(11): 785-793 (2023) - Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn:
Zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities. J. Glob. Optim. 87(2): 709-740 (2023) - S. Krishnakumar, K. Manivannan:
Detection of meningioma tumor images using Modified Empirical Mode Decomposition (MEMD) and convolutional neural networks. J. Intell. Fuzzy Syst. 44(2): 1715-1726 (2023) - Cassandra Stawicki, Sukumarakurup Krishnakumar, Michael D. Robinson:
Working with emotions: emotional intelligence, performance and creativity in the knowledge-intensive workforce. J. Knowl. Manag. 27(2): 285-301 (2023) - Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma:
Stochastic Zeroth-Order Riemannian Derivative Estimation and Optimization. Math. Oper. Res. 48(2): 1183-1211 (2023) - Carlos García-Lanchares, Miguel Marchamalo Sacristán, Alfredo Fernández-Landa, Candela Sancho, Vrinda Krishnakumar, Belén Benito:
Analysis of Deformation Dynamics in Guatemala City Metropolitan Area Using Persistent Scatterer Interferometry. Remote. Sens. 15(17): 4207 (2023) - Radhakumari Maya, Muhammed Rasheed Irshad, Hassan S. Bakouch, Archana Krishnakumar, Najla Qarmalah:
Kernel Estimation of the Extropy Function under α-Mixing Dependent Data. Symmetry 15(4): 796 (2023) - S. Sujamol, Vimina E. R., Krishnakumar U.:
Improving miRNA Disease Association Prediction Accuracy Using Integrated Similarity Information and Deep Autoencoders. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1125-1136 (2023) - Nikhila T. Suresh, Vimina E. R., Krishnakumar U.:
Topology Driven Analysis of Protein - Protein Interactome for Prioritizing Key Comorbid Genes via Sub Graph Based Average Path Length Centrality. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 742-751 (2023) - Toygun Basaklar, A. Alper Goksoy, Anish Krishnakumar, Suat Gumussoy, Ümit Y. Ogras:
DTRL: Decision Tree-based Multi-Objective Reinforcement Learning for Runtime Task Scheduling in Domain-Specific System-on-Chips. ACM Trans. Embed. Comput. Syst. 22(5s): 113:1-113:22 (2023) - Md Shahbaz Akhtar, Krishnakumar G, Vishnu B, Abhishek Sinha:
Fast and Secure Routing Algorithms for Quantum Key Distribution Networks. IEEE/ACM Trans. Netw. 31(5): 2281-2296 (2023)
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