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
Twenty years of machine-learning-based text classification: A systematic review
A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …
wide range of applications, which include spam detection, hate speech identification …
[HTML][HTML] A state-of-the-art review in big data management engineering: Real-life case studies, challenges, and future research directions
The explosion of data volume in the digital age has completely changed the corporate and
industrial environments. In-depth analysis of large datasets to support strategic decision …
industrial environments. In-depth analysis of large datasets to support strategic decision …
Analyzing amazon products sentiment: a comparative study of machine and deep learning, and transformer-based techniques
In recent years, online shop** has surged in popularity, with customer reviews becoming
a crucial aspect of the decision-making process. Reviews not only help potential customers …
a crucial aspect of the decision-making process. Reviews not only help potential customers …
Enhancing e-learning adaptability with automated learning style identification and sentiment analysis: a hybrid deep learning approach for smart education
In smart education, adaptive e-learning systems personalize the educational process by
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …
An assessment of lexical, network, and content‐based features for detecting malicious URLs using machine learning and deep learning models
The World Wide Web services are essential in our daily lives and are available to
communities through Uniform Resource Locator (URL). Attackers utilize such means of …
communities through Uniform Resource Locator (URL). Attackers utilize such means of …
Multilingual personalized hashtag recommendation for low resource Indic languages using graph-based deep neural network
Users from different cultures and backgrounds often feel comfortable expressing their
thoughts on trending topics by generating content in their regional languages. Recently …
thoughts on trending topics by generating content in their regional languages. Recently …
Large language models in neurology research and future practice
Recent advancements in generative artificial intelligence, particularly using large language
models (LLMs), are gaining increased public attention. We provide a perspective on the …
models (LLMs), are gaining increased public attention. We provide a perspective on the …
[HTML][HTML] Performance analysis of data-driven and physics-informed machine learning methods for thermal-hydraulic processes in Full-scale Emplacement experiment
G Hu, N Prasianakis, SV Churakov… - Applied Thermal …, 2024 - Elsevier
This study centers on the critical aspect of thermal management in deep geological
repositories, particularly concerning the heat induced by radioactive nuclear waste. It …
repositories, particularly concerning the heat induced by radioactive nuclear waste. It …
Digital criminal investigations in the era of artificial intelligence: A comprehensive overview
RSA Faqir - International Journal of Cyber Criminology, 2023 - cybercrimejournal.com
Artificial Intelligence (AI) has been integrated within digital criminal investigations
comprehensively with the help of associated methodologies, legal ramifications, and its …
comprehensively with the help of associated methodologies, legal ramifications, and its …
Challenges and limitation analysis of an IoT-dependent system for deployment in smart healthcare using communication standards features
The use of IoT technology is rapidly increasing in healthcare development and smart
healthcare system for fitness programs, monitoring, data analysis, etc. To improve the …
healthcare system for fitness programs, monitoring, data analysis, etc. To improve the …