[HTML][HTML] K-Medoids clustering applications for high-dimensionality multiphase probabilistic power flow
Actual power systems' planning studies require the stochastic modeling of networks due to
their increasing penetration of uncertain parameters, such as probabilistic-nature loads and …
their increasing penetration of uncertain parameters, such as probabilistic-nature loads and …
Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes
H Choudhary, M Hassani - arXiv preprint arXiv:2312.16596, 2023 - arxiv.org
In today's urban landscape, traffic congestion poses a critical challenge, especially during
outlier scenarios. These outliers can indicate abrupt traffic peaks, drops, or irregular trends …
outlier scenarios. These outliers can indicate abrupt traffic peaks, drops, or irregular trends …
Can we learn from outliers? unsupervised optimization of intelligent vehicle traffic management systems
T Mertens, M Hassani - Joint European Conference on Machine Learning …, 2022 - Springer
Vehicle traffic flow prediction is an essential task for several applications including city
planning, traffic congestion management and smart traffic light control systems. However …
planning, traffic congestion management and smart traffic light control systems. However …
Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction
H Choudhary, M Hassani - Proceedings of the 39th ACM/SIGAPP …, 2024 - dl.acm.org
In urban landscapes, traffic congestion, often identified by outlier events like accidents or
constructions, poses a significant challenge. These outliers result in abrupt traffic …
constructions, poses a significant challenge. These outliers result in abrupt traffic …
PAACDA: Comprehensive Data Corruption Detection Algorithm
With the advent of technology, data and its analysis are no longer just values and attributes
strewn across spreadsheets, they are now seen as a stepping stone to bring about …
strewn across spreadsheets, they are now seen as a stepping stone to bring about …
Multisensory Approach to Diagnose Bearing Faults Using Cohen Class Bilinear Distributions
Monitoring the bearings of induction motors is essential to avoid downtime and optimize
maintenance schedules. Manufacturing processes are typically dynamic, requiring time …
maintenance schedules. Manufacturing processes are typically dynamic, requiring time …
Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints Data
V Bolta, M Hassani - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Cities have been growing ever larger especially in the most recent decades. As
neighborhoods and boundaries of cities are expanding, the resident-service related …
neighborhoods and boundaries of cities are expanding, the resident-service related …