[PDF][PDF] Advancements and Applications of Generative Artificial Intelligence
As a transformative technology, generative artificial intelligence (AI) has emerged in a
variety of fields such as image synthesis, text generation, music composition and creative …
variety of fields such as image synthesis, text generation, music composition and creative …
[PDF][PDF] Exploring watermarking techniques in generative ai: A brief overview
Abstract Generative Artificial Intelligence has revolutionized the creation of realistic and
diverse content, such as images and texts, leading to challenges in ensuring authenticity …
diverse content, such as images and texts, leading to challenges in ensuring authenticity …
[PDF][PDF] Predicting Liver Disease Using Statistical Machine Learning Techniques
Liver disease poses a significant global health challenge, with various etiologies and
manifestations that can lead to severe complications if not promptly detected and managed …
manifestations that can lead to severe complications if not promptly detected and managed …
Fuzzy Cognitive Map and Deep-Seg Net for Enhancing Skin Cancer Segmentation and Detection
Global health challenges such as skin cancer, which arises from uncontrolled cell growth,
pose a significant threat. The most prevalent form of skin cancer manifests in cells …
pose a significant threat. The most prevalent form of skin cancer manifests in cells …
Advancements in Convolutional Neural Networks for Accurate and Efficient Skin Cancer Classification: A Comprehensive Survey
The cancer of the skin, particularly melanoma, is considered to be one of the most life-
threatening types of cancer. The major cause of skin cancer is an unrepaired …
threatening types of cancer. The major cause of skin cancer is an unrepaired …
Enhancing Document Summarization with Machine Learning Approaches for Single and Multiple Documents
The purpose of this research paper is to enhance the effectiveness of document
summarization by integrating advanced deep learning methodologies into the process. In …
summarization by integrating advanced deep learning methodologies into the process. In …
Sentiment Analysis Based on Machine-Learning Classifiers for Datasets
The study of sentiment analysis in natural language processing (NLP) holds tremendous
promise for extracting meaningful emotional cues from textual data as a part of its core …
promise for extracting meaningful emotional cues from textual data as a part of its core …
Enhancing Speech Emotion Recognition Combining Silence Elimination and Attention Model with a Novel CNN Architecture
A natural interface for human–computer interaction is automatic speech emotion recognition,
but it encounters challenges in handling non-emotional speech segments, especially …
but it encounters challenges in handling non-emotional speech segments, especially …
Optimizing Content-Based Image Retrieval System Using Convolutional Neural Network Models
This study focuses on improving “Content-Based Image Retrieval”(CBIR) systems through
the utilization of optimized convolutional neural network (CNN) models. Traditionally, CBIR …
the utilization of optimized convolutional neural network (CNN) models. Traditionally, CBIR …
Enhancing Security and Privacy in Health Care Using Cyber-physical Systems Through Machine Learning
The importance of securing cyber-physical systems (CPS) is paramount to safeguarding the
interconnected networks and devices, especially in sectors such as blockchain, health care …
interconnected networks and devices, especially in sectors such as blockchain, health care …