Saved in:
| Main Authors: | Chanda, Dibaloke, Soltani, Nasim Yahya |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2309.09921 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models
by: Chanda, Dibaloke, et al.
Published: (2024)
by: Chanda, Dibaloke, et al.
Published: (2024)
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation
by: Chanda, Dibaloke, et al.
Published: (2023)
by: Chanda, Dibaloke, et al.
Published: (2023)
Power Plays: Unleashing Machine Learning Magic in Smart Grids
by: Rashid, Abdur, et al.
Published: (2024)
by: Rashid, Abdur, et al.
Published: (2024)
VERITAS: Verifying the Performance of AI-native Transceiver Actions in Base-Stations
by: Soltani, Nasim, et al.
Published: (2025)
by: Soltani, Nasim, et al.
Published: (2025)
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
by: Efatinasab, Emad, et al.
Published: (2025)
by: Efatinasab, Emad, et al.
Published: (2025)
HGMP:Heterogeneous Graph Multi-Task Prompt Learning
by: Jiao, Pengfei, et al.
Published: (2025)
by: Jiao, Pengfei, et al.
Published: (2025)
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids
by: Hassani, Hossein, et al.
Published: (2023)
by: Hassani, Hossein, et al.
Published: (2023)
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
by: Aryal, Bibek, et al.
Published: (2026)
by: Aryal, Bibek, et al.
Published: (2026)
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids
by: Ardito, Carmelo, et al.
Published: (2023)
by: Ardito, Carmelo, et al.
Published: (2023)
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
by: Zhao, Dafang, et al.
Published: (2024)
by: Zhao, Dafang, et al.
Published: (2024)
Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample Generation
by: Li, Guangqiang, et al.
Published: (2025)
by: Li, Guangqiang, et al.
Published: (2025)
Reproducibility of Machine Learning-Based Fault Detection and Diagnosis for HVAC Systems in Buildings: An Empirical Study
by: Mukhtar, Adil, et al.
Published: (2025)
by: Mukhtar, Adil, et al.
Published: (2025)
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
by: Chen, Jiaying, et al.
Published: (2024)
by: Chen, Jiaying, et al.
Published: (2024)
FairPO: Robust Preference Optimization for Fair Multi-Label Learning
by: Mondal, Soumen Kumar, et al.
Published: (2025)
by: Mondal, Soumen Kumar, et al.
Published: (2025)
Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids
by: Olowookere, AbdulQoyum A., et al.
Published: (2026)
by: Olowookere, AbdulQoyum A., et al.
Published: (2026)
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
by: Kim, Jongwoo, et al.
Published: (2024)
by: Kim, Jongwoo, et al.
Published: (2024)
Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024)
by: Chan, Tsai Hor, et al.
Published: (2024)
An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
by: Wei, Zhihuan, et al.
Published: (2026)
by: Wei, Zhihuan, et al.
Published: (2026)
FairMT: Fairness for Heterogeneous Multi-Task Learning
by: Hu, Guanyu, et al.
Published: (2025)
by: Hu, Guanyu, et al.
Published: (2025)
UPath: Universal Planner Across Topological Heterogeneity For Grid-Based Pathfinding
by: Ananikian, Aleksandr, et al.
Published: (2026)
by: Ananikian, Aleksandr, et al.
Published: (2026)
A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids
by: Chifu, Viorica Rozina, et al.
Published: (2024)
by: Chifu, Viorica Rozina, et al.
Published: (2024)
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning
by: Zhao, Dandan, et al.
Published: (2024)
by: Zhao, Dandan, et al.
Published: (2024)
Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
by: Ren, Junyu, et al.
Published: (2026)
by: Ren, Junyu, et al.
Published: (2026)
Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions
by: Thilakarathne, Navod Neranjan, et al.
Published: (2020)
by: Thilakarathne, Navod Neranjan, et al.
Published: (2020)
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
by: Zhang, Yue, et al.
Published: (2024)
by: Zhang, Yue, et al.
Published: (2024)
Data-driven Machinery Fault Diagnosis: A Comprehensive Review
by: Neupane, Dhiraj, et al.
Published: (2024)
by: Neupane, Dhiraj, et al.
Published: (2024)
LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fault Diagnosis
by: Wei, Zhihuan, et al.
Published: (2026)
by: Wei, Zhihuan, et al.
Published: (2026)
Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
by: de Jong, Matthijs, et al.
Published: (2025)
by: de Jong, Matthijs, et al.
Published: (2025)
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)
ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)
by: Liang, Jian, et al.
Published: (2025)
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning
by: Shen, Jie, et al.
Published: (2023)
by: Shen, Jie, et al.
Published: (2023)
Collaborative Management for Chronic Diseases and Depression: A Double Heterogeneity-based Multi-Task Learning Method
by: Chai, Yidong, et al.
Published: (2025)
by: Chai, Yidong, et al.
Published: (2025)
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
by: Dai, Yajiao, et al.
Published: (2025)
by: Dai, Yajiao, et al.
Published: (2025)
Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes
by: Li, Guangqiang, et al.
Published: (2025)
by: Li, Guangqiang, et al.
Published: (2025)
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
by: Tsoumplekas, Georgios, et al.
Published: (2024)
by: Tsoumplekas, Georgios, et al.
Published: (2024)
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
by: Zhang, Hanrong, et al.
Published: (2025)
by: Zhang, Hanrong, et al.
Published: (2025)
Representation Learning of Auxiliary Concepts for Improved Student Modeling and Exercise Recommendation
by: Badran, Yahya, et al.
Published: (2025)
by: Badran, Yahya, et al.
Published: (2025)
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks
by: Nasim, Imran, et al.
Published: (2024)
by: Nasim, Imran, et al.
Published: (2024)
FD-LLM: Large Language Model for Fault Diagnosis of Machines
by: Qaid, Hamzah A. A. M., et al.
Published: (2024)
by: Qaid, Hamzah A. A. M., et al.
Published: (2024)
Statistical and Machine Learning Models for Predicting Fire and Other Emergency Events
by: Sharma, Dilli Prasad, et al.
Published: (2024)
by: Sharma, Dilli Prasad, et al.
Published: (2024)
Similar Items
-
A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models
by: Chanda, Dibaloke, et al.
Published: (2024) -
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation
by: Chanda, Dibaloke, et al.
Published: (2023) -
Power Plays: Unleashing Machine Learning Magic in Smart Grids
by: Rashid, Abdur, et al.
Published: (2024) -
VERITAS: Verifying the Performance of AI-native Transceiver Actions in Base-Stations
by: Soltani, Nasim, et al.
Published: (2025) -
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
by: Efatinasab, Emad, et al.
Published: (2025)