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Enhancing Road Safety on US Highways: Leveraging Advanced Computer Vision for Automated Guardrail Damage Detection and Evaluation
Published 2025-02-01“…Existing automated solutions do not fully address the challenges of accurately identifying and assessing guardrail damage under varying lighting and weather conditions and the computational demands of real-time processing. This study addresses these challenges by introducing a novel framework utilizing advanced computer vision techniques, such as YOLOv8 models and the Deep OC–SORT tracker, integrated with camera and GPS systems mounted on a vehicle. …”
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3543
Computational Feasibility Study for Time-Frequency Analysis of Non-Stationary Vibration Signals Based on Wigner-Ville Distribution
Published 2023-11-01“…The Incorporation of the preprocessing routine in the sampling rate reduction process markedly reduces analysis time.…”
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Targeting Shikimate Kinase Pathway of Acinetobacter baumannii: A Structure-Based Computational Approach to Identify Antibacterial Compounds
Published 2023-01-01“…Considering the fact that developing novel drugs is a time-consuming and expensive procedure, this research focuses on utilizing computational resources for repurposing antibacterial agents for A. baumannii. …”
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3547
A computational approach and software package RNAexploreR for grouping RNA molecules of human genes by exon features
Published 2019-12-01“…The study on the exon combinatoric rules of human genes during the process of splicing is of great interest for the diagnosis and treatment of cancer. …”
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3548
A Symmetric Projection Space and Adversarial Training Framework for Privacy-Preserving Machine Learning with Improved Computational Efficiency
Published 2025-03-01“…This paper proposes a data security training framework based on symmetric projection space and adversarial training, aimed at addressing the issues of privacy leakage and computational efficiency encountered by current privacy protection technologies when processing sensitive data. …”
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InMemQK: A Product Quantization Based MatMul Module for Compute-in-Memory Attention Macro
Published 2024-12-01“…However, the exponential increase in model parameters has led to limitations in inference speed and energy efficiency. Compute-in-memory (CIM) technology offers a promising solution to accelerate AI inference by performing analog computations directly within memory, potentially reducing latency and power consumption. …”
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A Machine Learning-Based Computational Methodology for Predicting Acute Respiratory Infections Using Social Media Data
Published 2025-03-01“…Additionally, we propose a computational methodology for selecting and applying Machine Learning (ML) algorithms to predict public health indicators using social media data. …”
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Machine Learning-Based Computer Vision for Depth Camera-Based Physiotherapy Movement Assessment: A Systematic Review
Published 2025-03-01“…Machine learning-based computer vision techniques using depth cameras have shown potential in physiotherapy movement assessment. …”
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Damage Assessment of Low-Velocity Impacted Sandwich Composite Structures Using X-Ray Micro-Computed Tomography
Published 2024-01-01“…This resulted in varied damage levels, from indentations to full perforations. The X-ray micro-computed tomography technique was chosen for its ability to detect internal damage. …”
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DFT computations on surface physical adsorption of hydrocarbons produced in the Fischer-Tropsch synthesis on a CNT/Co nanocatalyst
Published 2018-11-01“…Hence, it was established that the (4,4)-CNT-Co nanocatalyst had a superior performance to produce heavy hydrocarbons instead of light types which is very beneficial for the FT process. Keywords: Fischer-Tropsch synthesis, DFT computations, Nanocatayst, Hydrocarbon, BSSE, QTAIM…”
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Innovative Design Method for Lingnan Region Veranda Architectural Heritage (Qi-Lou) Facades Based on Computer Vision
Published 2025-01-01“…However, the restoration and protection of Qi-lou building facades faces challenges such as low efficiency, over-reliance on architects’ experience, and a lack of systematic technical tools. This study adopts computer vision techniques, specifically conditional generative adversarial networks (CGANs), to propose a new framework for generating realistic Qi-lou building facade designs. …”
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Design and optimization of an open personalized human-computer interaction system for New Year Painting based on the learner's model
Published 2024-12-01“…In this paper, a human-computer interaction teaching system for traditional New Year Painting is proposed based on the learner model. …”
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Exploring high entropy alloys: A review on thermodynamic design and computational modeling strategies for advanced materials applications
Published 2024-11-01“…This review focuses on intricate thermodynamic and computational modeling to guide the design and optimization of HEAs. …”
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