Articles with "hotspot detection" as a keyword



Effectiveness of Swarm Intelligence Algorithms for Geographically Robust Hotspot Detection

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Published in 2021 at "Arabian Journal for Science and Engineering"

DOI: 10.1007/s13369-021-06032-5

Abstract: For a given set of spatial locations (e.g., criminal activities, disease outbreak, etc.), circular hotspot detection (CHD) identifies circular zones (or hotspots) of significantly high concentration of activity points in the given space. Furthermore, the… read more here.

Keywords: geographically robust; hotspot detection; swarm intelligence; chd ... See more keywords
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A Two-Phase Clustering Approach for Urban Hotspot Detection With Spatiotemporal and Network Constraints

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Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3068308

Abstract: Urban hotspots are regions with intensive passenger flow, sound infrastructure, and thriving business during a certain period of time, which mirror the travel behavior of residents. Taxi trajectory is one of the important data sources… read more here.

Keywords: urban hotspot; two phase; hotspot detection; phase ... See more keywords

Litho-Aware Machine Learning for Hotspot Detection

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Published in 2018 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2017.2750068

Abstract: In this paper, we propose a novel methodology for machine learning-based hotspot detection that uses lithography information to build support vector machine (SVM) during its learning process. Unlike previous studies that use only geometric information… read more here.

Keywords: machine; opc mask; hotspot detection; machine learning ... See more keywords
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Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning

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Published in 2021 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2020.3015903

Abstract: Layout hotpot detection is one of the main steps in modern very-large-scale-integration (VLSI) chip design. A typical hotspot detection flow is extremely time consuming due to the computationally expensive mask optimization and lithographic simulation. Recent… read more here.

Keywords: hotspot detection; active learning; layout pattern; detection ... See more keywords
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Faster Region-based Hotspot Detection

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Published in 2020 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2020.3021663

Abstract: As the circuit feature size continuously shrinks down, hotspot detection has become a more challenging problem in modern DFM flows. Developed deep learning techniques have recently shown their superiorities on hotspot detection tasks. However, existing… read more here.

Keywords: hotspot detection; detection; faster region; region based ... See more keywords

A Lightweight Heterogeneous Graph Embedding Framework for Hotspot Detection

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Published in 2025 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2025.3543436

Abstract: Hotspot detection is a crucial step in ensuring the manufacturability of integrated circuits, as it seeks to identify potential defects in the layout. Pattern matching methods have been widely used to accelerate the detection of… read more here.

Keywords: detection; lightweight heterogeneous; framework; hotspot detection ... See more keywords

Hotspot Detection in Photovoltaic Modules with Fiber Bragg Grating and Brillouin Distributed Temperature Sensors

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Published in 2025 at "Energies"

DOI: 10.3390/en18236117

Abstract: The increasing deployment of photovoltaic (PV) installations presents critical challenges related to module safety and efficiency. Early detection of hotspots on PV modules is crucial to prevent degradation and mitigate fire risk. This study investigates… read more here.

Keywords: detection; temperature; distributed temperature; photovoltaic ... See more keywords

Collapse Hotspot Detection in Urban Area Using Sentinel-1 and TerraSAR-X Dataset with SBAS and PSI Techniques

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Published in 2024 at "Land"

DOI: 10.3390/land13122237

Abstract: Urban areas face an imminent risk of collapse due to structural deficiencies and gradual ground subsidence. Therefore, monitoring surface movements is crucial for detecting abnormal behavior, implementing timely preventive measures, and minimizing the detrimental effects… read more here.

Keywords: area; detection urban; collapse hotspot; collapse ... See more keywords