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Automated structural design of shear wall structures based on modified genetic algorithm and prior knowledge
Shear wall layout requires repetitive revisions and checks by an experienced designer,
which is very time-consuming and inefficient. Therefore, an automated and effective …
which is very time-consuming and inefficient. Therefore, an automated and effective …
A FPGA-based architecture for real-time cluster finding in the LHCb silicon pixel detector
G Bassi, L Giambastiani, K Hennessy… - … on Nuclear Science, 2023 - ieeexplore.ieee.org
This article describes a custom [very high speed integrated circuits (VHSIC) hardware
description language (VHDL)] firmware implementation of a 2-D cluster-finder architecture …
description language (VHDL)] firmware implementation of a 2-D cluster-finder architecture …
Scan-flood fill (SCAFF): An efficient automatic precise region filling algorithm for complicated regions
Recently, instant level labeling for supervised machine learning requires a considerable
number of filled masks. In this paper, we propose an efficient automatic region filling …
number of filled masks. In this paper, we propose an efficient automatic region filling …
Real-time FPGA implementation of parallel connected component labelling for a 4K video stream
In this paper, a hardware implementation in reconfigurable logic of a single-pass connected
component labelling (CCL) and connected component analysis (CCA) module is presented …
component labelling (CCL) and connected component analysis (CCA) module is presented …
MythicVision: a deep learning powered mobile application for understanding Indian mythological deities using weight centric decision approach
Indian mythology is a treasure trove of divine tales, yet a gap in understanding still exists
between foreign tourists and the rich cultural heritage of Indian deities. To address the …
between foreign tourists and the rich cultural heritage of Indian deities. To address the …
[HTML][HTML] An efficient hardware-oriented single-pass approach for connected component analysis
Connected Component Analysis (CCA) plays an important role in several image analysis
and pattern recognition algorithms. Being one of the most time-consuming tasks in such …
and pattern recognition algorithms. Being one of the most time-consuming tasks in such …
[HTML][HTML] A Segmentation-Based Automated Corneal Ulcer Grading System for Ocular Staining Images Using Deep Learning and Hough Circle Transform
D Manawongsakul, K Patanukhom - Algorithms, 2024 - mdpi.com
Corneal ulcer is a prevalent ocular condition that requires ophthalmologists to diagnose,
assess, and monitor symptoms. During examination, ophthalmologists must identify the …
assess, and monitor symptoms. During examination, ophthalmologists must identify the …
A memory-efficient hardware architecture for connected component labeling in embedded system
C Zhao, W Gao, F Nie - … on Circuits and Systems for Video …, 2019 - ieeexplore.ieee.org
In this paper, we introduce a hardware architecture to accelerate connected component
labeling (CCL) for embedded systems. The proposed CCL architecture scans the given …
labeling (CCL) for embedded systems. The proposed CCL architecture scans the given …
A parallel connected component labeling architecture for heterogeneous systems-on-chip
Connected component labeling is one of the most important processes for image analysis,
image understanding, pattern recognition, and computer vision. It performs inherently …
image understanding, pattern recognition, and computer vision. It performs inherently …
A provisional labels-reduced, real-time connected component labeling algorithm for edge hardware
H Zhou, R Dou, L Cheng, J Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Connected component labeling (CCL) is an important operation in computer vision tasks,
widely used for real-time image processing on edge hardware. The existing connected …
widely used for real-time image processing on edge hardware. The existing connected …