Impact Factor
Publish Your Paper
Submit your research manuscript for fast peer review and publication.
Submit Paper
Papers tagged with "Generative Adversarial Networks"
Integrated GAN And IR Algorithms For Noise-Robust Medical Image Reconstruction
Medical Imaging Techniques Such As Magnetic Resonance Imaging And Computed Tomography Play A Vital Role In Disease Diagnosis And Treatment Planning. However, Medical Images Are Often Degraded By Noise Caused By Low Radiation Exposure, Patie...
A Novel Dense-Swish-CNN With Bi-LSTM Framework For Image Deepfake Detection
The Rapid Advancement Of Deep Generative Models, Particularly Generative Adversarial Networks (GANs) And Diffusion-based Architectures, Has Substantially Lowered The Barrier To Producing Photorealistic Synthetic Human Faces, Collectively Re...
Leveraging gan for synthetic medical image synthesis
Generative Adversarial Networks (GANs) Generate Realistic Medical Images, Tackling The Scarcity Of Annotated Datasets In Healthcare. Models Like Conditional GANs And CycleGANs Preserve Essential Clinical Features, Improve Model Generaliza...
Generative AI: Impact on Software Engineering & Ethical Considerations
Generative Artificial Intelligence (Generative AI) Has Become A Groundbreaking Technology In Recent Years, Showcasing Significant Advancements. This Research Paper Delves Into The Progress Achieved In Generative AI, Its Impact On Software E...
GENERATIVE AI: ADVANCEMENTS, APPLICATIONS AND ETHICAL CONSIDERATIONS
Generative Artificial Intelligence (Generative AI) Has Emerged As A Transformative Technology With Significant Advancements In Recent Years. This Research Paper Explores The Progress Made In Generative AI, Its Diverse Applications Across Va...
GENERATIVE AI
Generative Artificial Intelligence (Generative AI) Stands At The Forefront Of Innovation, Revolutionizing Data Generation And Creative Content Production. This Paper Explores The Multifaceted World Of Generative AI, Delving Into Its Diverse...
GENERATIVE ADVERSARIAL NETWORKS : A REVIEW
GANs Have Gained Much Attention From The Research Community In Recent Years In Terms Of Generating Quality Images And Data Augmentation. Generative Adversarial Networks (GANs) Present A Way To Learn Deep Representations Without Extensively...
RETINAL VESSEL DETECTION BASED ON DEEP LEARNING
While Recent Advances In Deep Learning Have Significantly Advanced The State Of The Art For Vessel Detection In Color Fundus (CF) Images, The Success For Detecting Vessels In Fluorescein Angiography (FA) Has Been Stymied Due To The Lack Of...