A5003653163- Brain Tumor Detection and Classification
- Artificial Intelligence in Healthcare
- Digital Imaging for Blood Diseases
- COVID-19 diagnosis using AI
- Cloud Data Security Solutions
- AI in cancer detection
- Big Data and Business Intelligence
- Cryptography and Data Security
- Anomaly Detection Techniques and Applications
- Artificial Intelligence in Healthcare and Education
- Data Quality and Management
- Machine Learning in Healthcare
- IoT and Edge/Fog Computing
- Data Stream Mining Techniques
- Innovation in Digital Healthcare Systems
- Blockchain Technology Applications and Security
- Advanced Neural Network Applications
- Medical Imaging and Analysis
- Business Process Modeling and Analysis
- Vehicle License Plate Recognition
- Technology and Data Analysis
- Face recognition and analysis
- Medical Image Segmentation Techniques
- Digital Media Forensic Detection
- Video Surveillance and Tracking Methods
Indira Gandhi Institute of Technology
2018-2024
Shri Jagdishprasad Jhabarmal Tibrewala University
2016-2023
Nowadays, deep learning models are used to summarize the large volume of text data understand its intent effectively.Processing huge amounts can lead an Information overload, where may generate summaries that miss out on important information actual content.Such problems in business document impact progressive growth.This study employs a dataset comprising articles sourced from BBC News conduct extensive comparative analysis three prominent summarization algorithms: Bidirectional and...
Due to current advancements in cloud computing also the tremendous usage systems, correspondence arrange elevated numerous clients exchange documents and touchy data through system, this delicate information requires uncommon arrangement. This work shows a security framework that can give protection uprightness trading or view of utilization combination Attribute-Based Encryption Byte Rotation Algorithm. The essence is build up straightforward platform get protection, integrity, performance...
Now day's use of big data platforms is increasing for storing large amount end user's remotely on servers. Cloud computing storage was widely used data, but cloud only providing the tasks not supporting important functionalities like computation and database operations. These operations are supported by systems hence currently platform in increases worldwide enterprises. Sharing sensitive information resulted into reduction costs enterprises users to provide value added personalized...
While CNN-based Alzheimer's disease (AD) classification has showed some encouraging results, it will need high accuracy, fast processing time, and generalizability to a number of population types before can be used in clinical settings. The brain disorder known as is progressive currently no cure. characterized by decline memory other mental abilities well loss autonomy daily life. results this study suggest that using statistical learning ensemble strategies, an image feature extraction...
Methods based on deep learning are widely used nowadays for data analysis. These procedures involve low time investment and simple tools. In this research, WBC classification was suggested using module weighted optimized CNN. Two transfer modules deformable convolutional (DC) layers characterize our technique, which we use to improve resilience. For low-resolution noisy sets, the Optimized CNN (OCNN) demonstrated best results because its precise feature extraction improved network weights....
For the purpose of illness prediction, objective this study is to develop automated models for categorization white blood cells (WBCs). In human immune system, (WBCs) function combat infections and shield body from external substances. Eosinophils, neutrophils, monocytes, basophils, lymphocytes are components that make up these cells; each cell types accounts a different proportion responsible distinct set functions overall. The clinical laboratory technique counting specific has long been...
Data DE-duplication has an important role in reducing storage consumption to make it reasonably priced manage today's explosive data growth. There are problems like a specific file with same name, but different content may be present on the server, so user get trouble downloading and uploading files due network corrupted. To overcome all these problems, we have proposed system which using History Aware Inline De-duplication algorithm for checking duplicity of before server. MD5 would used...
Abstract In Emergency Medical Services (EMS), we use Predictive modeling which is basically a statistical technique anticipates and forecasts future occurrences using machine learning data mining. processes current historical acquired at medical treatment methodologies, mining, other techniques. It allows for the formulation of most effective therapeutic regimens personalized every patient or individual by enhancing client care depending on data. event hospitalization emergency care, where...
In an abnormal tissue called a brain tumor, the cells of tumor reproduce quickly. if no control over cell growth. The difficulties involved in identifying and treating tumors Machine learning is most technologically sophisticated tool for classification detection, implementing reliable state-of-the-art A.I. as well neural network techniques, use this technology early diagnosis detection can be accomplished successfully. it known that segmentation method capable helping simply destroy brain's...