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
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.
The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
Generative adversarial networks for prognostic and health management of industrial systems: A review
Q Li, Y Tang, L Chu - Expert Systems with Applications, 2024 - Elsevier
Generative adversarial networks (GANs) have recently attracted attention owing to their
impressive ability in generating high-quality and novel synthetic datasets such as signals …
impressive ability in generating high-quality and novel synthetic datasets such as signals …
GAN review: Models and medical image fusion applications
T Zhou, Q Li, H Lu, Q Cheng, X Zhang - Information Fusion, 2023 - Elsevier
Abstract Generative Adversarial Network (GAN) is a research hotspot in deep generative
models, which has been widely used in the field of medical image fusion. This paper …
models, which has been widely used in the field of medical image fusion. This paper …
[HTML][HTML] An ongoing review of speech emotion recognition
User emotional status recognition is becoming a key feature in advanced Human Computer
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
[HTML][HTML] Automatic speech recognition method based on deep learning approaches for Uzbek language
Communication has been an important aspect of human life, civilization, and globalization
for thousands of years. Biometric analysis, education, security, healthcare, and smart cities …
for thousands of years. Biometric analysis, education, security, healthcare, and smart cities …
[HTML][HTML] Data augmentation techniques for machine learning applied to optical spectroscopy datasets in agrifood applications: A comprehensive review
A Gracia Moisés, I Vitoria Pascual, JJ Imas González… - Sensors, 2023 - mdpi.com
Machine learning (ML) and deep learning (DL) have achieved great success in different
tasks. These include computer vision, image segmentation, natural language processing …
tasks. These include computer vision, image segmentation, natural language processing …
Generative adversarial networks: A survey on attack and defense perspective
Generative Adversarial Networks (GANs) are a remarkable creation with regard to deep
generative models. Thanks to their ability to learn from complex data distributions, GANs …
generative models. Thanks to their ability to learn from complex data distributions, GANs …
Recent progress in digital image restoration techniques: A review
Digital images are playing a progressively important role in almost all the fields such as
computer science, medicine, communications, transmission, security, surveillance, and …
computer science, medicine, communications, transmission, security, surveillance, and …
Anonymizing speech: Evaluating and designing speaker anonymization techniques
P Champion - arxiv preprint arxiv:2308.04455, 2023 - arxiv.org
The growing use of voice user interfaces has led to a surge in the collection and storage of
speech data. While data collection allows for the development of efficient tools powering …
speech data. While data collection allows for the development of efficient tools powering …
Personalized federated learning for heterogeneous residential load forecasting
Accurate load forecasting is critical for electricity production, transmission, and maintenance.
Deep learning (DL) model has replaced other classical models as the most popular …
Deep learning (DL) model has replaced other classical models as the most popular …