Detecting AI-generated images with CNN and Interpretation using Explainable AI
PK Rangarajan, M Sukesh… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The rapid proliferation of digitally manipulated images in various media outlets has
necessitated the development of robust and reliable methods for distinguishing between …
necessitated the development of robust and reliable methods for distinguishing between …
Study on Generative Adversarial Network in Discrete Data: A Survey
A Mohammadi Gohar, K Rahbar… - Journal of AI and …, 2024 - jad.shahroodut.ac.ir
Generative Adversarial Networks (GANs) have emerged as a pivotal research focus within
artificial intelligence due to their exceptional capabilities in data generation. Their ability to …
artificial intelligence due to their exceptional capabilities in data generation. Their ability to …
Ensemble Integration of Deep Learning Models for Gender-Based Speech Emotion Recognition
Speech emotion recognition (SER) holds significant importance in numerous applications,
as it heavily relies on the precise extraction of acoustic information from speech signals …
as it heavily relies on the precise extraction of acoustic information from speech signals …
A Comparative Study of Hybrid Deep Learning Techniques for COVID-19 Detection based on Cough Sound Analysis
The COVID-19 pandemic, produced by the SARS-CoV-2 virus, has severe global
consequences, resulting in substantial loss of life and posing a serious threat globally …
consequences, resulting in substantial loss of life and posing a serious threat globally …
A Comparative Analysis of Transformers for Multilingual Neural Machine Translation
Multilingual neural machine translation (NMT) has emerged as a promising solution to break
down language barriers and promote cross-lingual communication. Transformer-based NMT …
down language barriers and promote cross-lingual communication. Transformer-based NMT …
Cloud Cover Removal from Remote Sensing Data using GANs Based on Attention Mechanism
BSJN Reddy, D Sasikala - 2023 Seventh International …, 2023 - ieeexplore.ieee.org
Cloud interference is a significant challenge in remote sensing applications, impacting the
quality and reliability of data used for environmental analysis, disaster monitoring, and urban …
quality and reliability of data used for environmental analysis, disaster monitoring, and urban …
Neural Currency Guard using Generative Adversarial Networks
Counterfeit currency detection remains an ongoing challenge worldwide, as counterfeiters
continuously enhance their techniques. This paper provides a comprehensive review of …
continuously enhance their techniques. This paper provides a comprehensive review of …
Encompassing YOLOv8 and EfficientNet B7 for Automatic License Plate Identification
R Reddy, G Swathi, E Himesh… - 2023 International …, 2023 - ieeexplore.ieee.org
The rapid urbanization and increased vehicular population in metropolitan areas have
presented a formidable obstacle to the manual identification of license plates. The surge in …
presented a formidable obstacle to the manual identification of license plates. The surge in …
Improving Enhanced Clinical Decision Making: Chronic Kidney Disease Detection
BMG India, S Vadlamudi, CR Guggella… - … for Innovations in …, 2023 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is among the health concerns that warrant attention for
people worldwide and has impacts, on individuals and the economy. The “Chronic Kidney …
people worldwide and has impacts, on individuals and the economy. The “Chronic Kidney …