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Papers tagged with "Generative Adversarial Network"
AI-Based Forensic Face Sketch Generation and Suspect Identification from Eyewitness Verbal Description
Suspect Identification Based On Eyewitness Descriptions Remains A Critical Challenge In Criminal Investigations Due To Memory Limitations, Language Barriers, And The Lack Of Reliable Visual Evidence. Traditional Forensic Sketching Methods R...
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...
Early Detection of Network Intrusions, One-Class Classifier
Early Detection Of Network Intrusions Is A Very Important Factor In Network Security. However, Most Studies Of Network Intrusion Detection Systems Utilize Features For Full Sessions, Making It Difficult To Detect Intrusions Before A Session...
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...
MULTIPLE-SOURCE REMOTE SENSING IMAGE CLASSIFICATION USING GENERATIVE ADVERSARIAL NETWORK
Deep Learning Has Made Spectacular Breakthroughs In Many Computer Vision Tasks, Such As Semantic Segmentation And Object Detection Which Are Driven By The Progress Of Deep Convolutional Neural Networks (CNNs) And Large Quantities Of Availab...
CONVERSION OF SPEECH USING CNN
Traditional Voice Conversion Methods Rely On Parallel Recordings Of Multiple Speakers Pronouncing The Same Sentences. For Real-world Applications However, Parallel Data Is Rarely Available. In This Paper, Demonstrating A Voice Conversion Me...
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...