Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.

S Bengesi, H El-Sayed, MK Sarker, Y Houkpati… - IEEe …, 2024 - ieeexplore.ieee.org
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 …

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 …

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 …

[HTML][HTML] An ongoing review of speech emotion recognition

J de Lope, M Graña - Neurocomputing, 2023 - Elsevier
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 …

[HTML][HTML] Automatic speech recognition method based on deep learning approaches for Uzbek language

A Mukhamadiyev, I Khujayarov, O Djuraev, J Cho - Sensors, 2022 - mdpi.com
Communication has been an important aspect of human life, civilization, and globalization
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 …

Generative adversarial networks: A survey on attack and defense perspective

C Zhang, S Yu, Z Tian, JJQ Yu - ACM Computing Surveys, 2023 - dl.acm.org
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 …

Recent progress in digital image restoration techniques: A review

A Wali, A Naseer, M Tamoor, SAM Gilani - Digital Signal Processing, 2023 - Elsevier
Digital images are playing a progressively important role in almost all the fields such as
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 …

Personalized federated learning for heterogeneous residential load forecasting

X Qu, C Guan, G **e, Z Tian, K Sood… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Accurate load forecasting is critical for electricity production, transmission, and maintenance.
Deep learning (DL) model has replaced other classical models as the most popular …