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L
Laya Das
swiss federal institutes of technology domain
14
H指数
46
论文数
762
被引数
0
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21
发表时间
发表时间
IF
被引数
Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications
图神经网络深度强化学习的挑战与机遇: 算法与应用综述
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF
8.9
2024-11-01
21
OA
AI
Munikoti, Sai; Agarwal, Deepesh; Das, Laya; Halappanavar, Mahantesh; Natarajan, Balasubramaniam
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Uncertainty-aware deep learning for monitoring and fault diagnosis from synthetic data
基于不确定性感知的深度学习,用于合成数据的监控和故障诊断
RELIABILITY ENGINEERING & SYSTEM SAFETY
IF
11
2024-11-01
0
OA
AI
Das, Laya; Gjorgiev, Blazhe; Sansavini, Giovanni
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A testbed for studying the interactions between human operators and advanced control systems
COMPUTERS & CHEMICAL ENGINEERING
IF
3.9
2023-10-01
1
PRE
AI
Ranjan, Ritu; Das, Laya; Kaisare, Niket S.; Srinivasan, Rajagopalan
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Simulation-driven deep learning for locating faulty insulators in a power line
RELIABILITY ENGINEERING & SYSTEM SAFETY
IF
11
2023-03-01
7
OA
AI
Gjorgiev, Blazhe; Das, Laya; Merkel, Seline; Rohrer, Martina; Auger, Etienne; Sansavini, Giovanni
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A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks
NEUROCOMPUTING
IF
6.5
2023-02-01
8
OA
AI
Munikoti, Sai; Agarwal, Deepesh; Das, Laya; Natarajan, Balasubramaniam
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A unified theory of emergent equilibrium phenomena in active and passive matter
COMPUTERS & CHEMICAL ENGINEERING
IF
3.9
2022-08-01
7
OA
AI
Venkatasubramanian, Venkat; Sivaram, Abhishek; Das, Laya
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Scalable graph neural network-based framework for identifying critical nodes and links in complex networks
NEUROCOMPUTING
IF
6.5
2022-01-01
37
OA
AI
Munikoti, Sai; Das, Laya; Natarajan, Balasubramaniam
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Robust and efficient swarm communication topologies for hostile environments
SWARM AND EVOLUTIONARY COMPUTATION
IF
8.5
2021-04-01
6
OA
AI
Mann, Vipul; Sivaram, Abhishek; Das, Laya; Venkatasubramanian, Venkat
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Measuring smart grid resilience: Methods, challenges and opportunities
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
IF
16.3
2020-09-01
92
PRE
AI
Das, Laya; Munikoti, Sai; Natarajan, Balasubramaniam; Srinivasan, Babji
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Hidden representations in deep neural networks: Part 2. Regression problems
COMPUTERS & CHEMICAL ENGINEERING
IF
3.9
2020-08-01
34
PRE
AI
Das, Laya; Sivaram, Abhishek; Venkatasubramanian, Venkat
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Hidden representations in deep neural networks: Part 1. Classification problems
COMPUTERS & CHEMICAL ENGINEERING
IF
3.9
2020-03-01
19
PRE
AI
Sivaram, Abhishek; Das, Laya; Venkatasubramanian, Venkat
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NeuralCompression: A machine learning approach to compress high frequency measurements in smart grid
APPLIED ENERGY
IF
11
2020-01-01
18
PRE
AI
Das, Laya; Garg, Dinesh; Srinivasan, Babji
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Data-Driven Approaches for Diagnosis of Incipient Faults in DC Motors
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
IF
9.9
2019-09-01
45
PRE
AI
Munikoti, Sai; Das, Laya; Natarajan, Balasubramaniam; Srinivasan, Babji
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On developing a framework for detection of oscillations in data
ISA TRANSACTIONS
IF
6.5
2019-06-01
3
PRE
AI
Ullah, Mohd Faheem; Das, Laya; Parmar, Sweta; Rengaswamy, Raghunathan; Srinivasan, Babji
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A Framework for Efficient Information Aggregation in Smart Grid
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
IF
9.9
2019-04-01
18
PRE
AI
Joshi, Amit; Das, Laya; Natarajan, Balasubramaniam; Srinivasan, Babji
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A novel approach for benchmarking and assessing the performance of state estimators
一种新的基准测试和评估状态估计器性能的方法
ISA TRANSACTIONS
IF
6.5
2018-09-01
2
PRE
AI
Das, Laya; Kumar, Gaurav; Rengaswamy, Raghunathan; Srinivasan, Babji
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Toward Preventing Accidents in Process Industries by Inferring the Cognitive State of Control Room Operators through Eye Tracking
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
IF
7.3
2018-01-16
20
PRE
AI
Das, Laya; Iqbal, Mohd Umair; Bhavsar, Punitkumar; Srinivasan, Babji; Srinivasan, Rajagopalan
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A novel approach to evaluate state estimation approaches for anaerobic digester units under modeling uncertainties: Application to an industrial dairy unit
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
IF
7.2
2017-08-01
7
PRE
AI
Das, Laya; Kumar, Gaurav; Rani, Mallavarapu Deepika; Srinivasan, Babji
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Data Mining and Control Loop Performance Assessment: The Multivariate Case
数据挖掘和控制回路性能评估: 多变量案例
AICHE JOURNAL
IF
4
2017-03-09
13
PRE
AI
Das, Laya; Rengaswamy, Raghunathan; Srinivasan, Babji
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Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
IF
3.9
2016-05-01
17
PRE
AI
Das, Laya; Srinivasan, Babji; Rengaswamy, Raghunathan
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研究方向
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合作学者
合作期刊
V
Venkat Venkatasubramanian
H 指数: 53 · 论文数: 335
R
Rajagopalan Srinivasan
H 指数: 47 · 论文数: 379
R
Raghunathan Rengaswamy
H 指数: 44 · 论文数: 295
B
Balasubramaniam Natarajan
H 指数: 39 · 论文数: 444
G
Giovanni Sansavini
H 指数: 36 · 论文数: 327
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