[PDF][PDF] Advancements and Applications of Generative Artificial Intelligence

DG Takale, PN Mahalle, B Sule - Journal of Information …, 2024 - researchgate.net
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 …

[PDF][PDF] Exploring watermarking techniques in generative ai: A brief overview

DG Takale, PN Mahalle, B Sule - Journal of Image Processing and …, 2024 - researchgate.net
Abstract Generative Artificial Intelligence has revolutionized the creation of realistic and
diverse content, such as images and texts, leading to challenges in ensuring authenticity …

[PDF][PDF] Predicting Liver Disease Using Statistical Machine Learning Techniques

DG Takale, PN Mahalle, B Sule - Journal of Computer Science …, 2024 - researchgate.net
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 …

Fuzzy Cognitive Map and Deep-Seg Net for Enhancing Skin Cancer Segmentation and Detection

DG Takale, PP Gawali, GB Deshmukh… - … on Information and …, 2024 - Springer
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 …

Advancements in Convolutional Neural Networks for Accurate and Efficient Skin Cancer Classification: A Comprehensive Survey

DG Takale, SS Kashid, GB Deshmukh… - … on Information and …, 2024 - Springer
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 …

Enhancing Document Summarization with Machine Learning Approaches for Single and Multiple Documents

GB Deshmukh, DG Takale, PP Gawali… - … on Information and …, 2024 - Springer
The purpose of this research paper is to enhance the effectiveness of document
summarization by integrating advanced deep learning methodologies into the process. In …

Sentiment Analysis Based on Machine-Learning Classifiers for Datasets

DG Takale, GB Deshmukh, SS Kashid… - … on Information and …, 2024 - Springer
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 …

Enhancing Speech Emotion Recognition Combining Silence Elimination and Attention Model with a Novel CNN Architecture

PP Gawali, DG Takale, GB Deshmukh… - … on Information and …, 2024 - Springer
A natural interface for human–computer interaction is automatic speech emotion recognition,
but it encounters challenges in handling non-emotional speech segments, especially …

Optimizing Content-Based Image Retrieval System Using Convolutional Neural Network Models

SS Kashid, DG Takale, PP Gawali… - … on Information and …, 2024 - Springer
This study focuses on improving “Content-Based Image Retrieval”(CBIR) systems through
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

DG Takale, PP Gawali, GB Deshmukh… - … on Information and …, 2024 - Springer
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 …