Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Advancements in 3D digital model generation for digital twins in industrial environments: Knowledge gaps and future directions
Digital twins are considered a transformative paradigm for industrial environments, providing
a dynamic, digital, and intelligent representation of industrial assets. The necessity of digital …
a dynamic, digital, and intelligent representation of industrial assets. The necessity of digital …
Unlocking the potential of keyword extraction: the need for access to high-quality datasets
Keyword extraction is a critical task that enables various applications, including text
classification, sentiment analysis, and information retrieval. However, the lack of a suitable …
classification, sentiment analysis, and information retrieval. However, the lack of a suitable …
Revealing essential notions: an algorithmic approach to distilling core concepts from student and teacher responses in computer science education
Revealing essential notions: an algorithmic approach to distilling core concepts from student
and teacher responses in computer science education | Emerald Insight Books and journals …
and teacher responses in computer science education | Emerald Insight Books and journals …
Single Line Electrical Drawings (SLED): A Multiclass Dataset Benchmarked by Deep Neural Networks
Single-line drawings have diverse applications across various industries, including electrical
substations, buildings, power distribution, maintenance, and more. Analyzing and …
substations, buildings, power distribution, maintenance, and more. Analyzing and …
Symbol Detection in a Multi-class Dataset Based on Single Line Diagrams using Deep Learning Models
Abstract Single Line Diagrams (SLDs) are used in electrical power distribution systems.
These diagrams are crucial to engineers during the installation, maintenance, and …
These diagrams are crucial to engineers during the installation, maintenance, and …
MCBAN: A Small Object Detection Multi-Convolutional Block Attention Network.
Object detection has made a significant leap forward in recent years. However, the detection
of small objects continues to be a great difficulty for various reasons, such as they have a …
of small objects continues to be a great difficulty for various reasons, such as they have a …
Support Vector Based Anomaly Detection in Federated Learning
Anomaly detection plays a crucial role in various domains. However, traditional centralized
approaches often encounter challenges related to data privacy. In this context, Federated …
approaches often encounter challenges related to data privacy. In this context, Federated …
Towards Digitisation of Technical Drawings in Architecture: Evaluation of CNN Classification on the Perdaw Dataset
In a highly digitalised world, this paper aims at closing the gap towards automatic digitisation
from 2D architectural drawings. We present the new image dataset Plan, and Elevation …
from 2D architectural drawings. We present the new image dataset Plan, and Elevation …
Machine learning model for automated assessment of short subjective answers
Natural Language Processing (NLP) has recently gained significant attention; where,
semantic similarity techniques are widely used in diverse applications, such as information …
semantic similarity techniques are widely used in diverse applications, such as information …
Tumor Detection of Breast Tissue Using Random Forest with Principal Component Analysis
When it comes to cancer-related mortality, breast cancer is the most common and
predominant kind in women; lung cancer is the most common. It ranks second overall …
predominant kind in women; lung cancer is the most common. It ranks second overall …