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
A review on machine learning styles in computer vision—techniques and future directions
Computer applications have considerably shifted from single data processing to machine
learning in recent years due to the accessibility and availability of massive volumes of data …
learning in recent years due to the accessibility and availability of massive volumes of data …
Noncontact sensing techniques for AI-aided structural health monitoring: a systematic review
Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …
reached their design lifetime. While contact-based measurement techniques are challenging …
BSFR-SH: Blockchain-enabled security framework against ransomware attacks for smart healthcare
Ransomware is a type of malicious program or software that encrypts the contents on a hard
disc and prevents the users from accessing them unless they pay an amount (called a …
disc and prevents the users from accessing them unless they pay an amount (called a …
A few-shot class-incremental learning method for network intrusion detection
With the rapid development of information technologies, the security of cyberspace has
become increasingly serious. Network intrusion detection is a practical scheme to protect …
become increasingly serious. Network intrusion detection is a practical scheme to protect …
A two‐stage deep learning framework for image‐based android malware detection and variant classification
With the popularity of the internet and smartphones, malware on smartphones has increased
dramatically. In addition, the ubiquity and openness of the Android operating system have …
dramatically. In addition, the ubiquity and openness of the Android operating system have …
Android malware detection methods based on convolutional neural network: A survey
Android malware detection (AMD) is a challenging task requiring many factors to be
considered during detection, such as feature extraction and processing, performance …
considered during detection, such as feature extraction and processing, performance …
EfficientNet convolutional neural networks-based Android malware detection
Owing to the increasing number and complexity of malware threats, research on automated
malware detection has become a hot topic in the field of network security. Traditional …
malware detection has become a hot topic in the field of network security. Traditional …
Explainable Artificial Intelligence‐Based IoT Device Malware Detection Mechanism Using Image Visualization and Fine‐Tuned CNN‐Based Transfer Learning Model
H Naeem, BM Alshammari… - Computational Intelligence …, 2022 - Wiley Online Library
Automated malware detection is a prominent issue in the world of network security because
of the rising number and complexity of malware threats. It is time‐consuming and resource …
of the rising number and complexity of malware threats. It is time‐consuming and resource …
Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques
Abstract The Internet of Things (IoT) has experienced phenomenal expansion over the past
few years and has emerged as one of the most dynamic sectors of the international market …
few years and has emerged as one of the most dynamic sectors of the international market …
Attention‐based convolutional neural network deep learning approach for robust malware classification
V Ravi, M Alazab - Computational intelligence, 2023 - Wiley Online Library
Recently, transforming windows files into images and its analysis using machine learning
and deep learning have been considered as a state‐of‐the art works for malware detection …
and deep learning have been considered as a state‐of‐the art works for malware detection …