IEEE

Adversarial Robustness Evaluation of a Vietnamese Handwriting OCR System

Abstract: Deep learning has revolutionized optical character recognition (OCR), enabling significant improvements in handwritten text recognition. However, the vulnerability of these models to ...
IEEE

Brain Cancer MRI Classification using CNN Architectures with Grid Search Enhanced with Coordinate Ascent Optimization

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
IEEE

CNN-Transformer-Bi-LSTM: A Hybrid Deep Learning Framework for Wearable Sensor-Based Human Activity Recognition

Abstract: Human activity recognition (HAR) focuses on identifying and classifying human activities based on data collected from various sources. Its importance lies in its wide range of applications, ...

AI-Powered Document Scanning: CamScanner Launches Deep Image Intelligence for Reliable Recognition in Complex Real-World Scenarios

The detection capability identifies AI-generated images and AI-edited real images, by capturing generation artifacts and semantic inconsistencies invisible to the human eye. Designed for ...
IEEE

Automated Face Recognition System Using Convolutional Neural Network

Abstract: The research is devoted to the development of an automated face recognition system based on a convolutional neural network (CNN). The proposed system uses modern methods of image ...
IEEE

Handwriting as a Window to Mental Health: Classifying Psychological States from Handwriting Using Deep Learning Approach

Abstract: Personality and attitude can be inferred from handwriting, a definite indicator of cognitive, emotional, and psychological traits. This paper suggests a handwriting-based psychological ...
IEEE

Automated Data Extraction from Unstructured Text Using Machine Learning Algorithms

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...
IEEE

AI-Powered Intelligent Crop Health Monitoring System using CNN-based Image Classification

Abstract: Plant and leaf diseases have a significant impact on agricultural production, leading to a decrease in crop yield and quality. Effective crop management demands early and precise detection ...
IEEE

DC Offset Compensation in Transistor-based Sensors Using Lightweight CNN for Real-Time Activity Recognition

Abstract: Transistor-based sensors are widely utilized due to their flexibility, miniaturization, and mature semiconductor microfabrication techniques. However, they are susceptible to DC offset ...
IEEE

Enhancing CNN-Based Motion Sickness Detection using EEG Signals Weighted by Motion Sickness Dose Value

Abstract: With the advancement of autonomous driving technologies, passengers increasingly engage in non-driving activities. However, these activities are often limited by motion sickness (MS), which ...
IEEE

An Efficient Approach to Fingerprint Recognition with Proposed CNN

Abstract: Fingerprint recognition technologies rely largely on minute details. As multiple previous research investigations have shown fingerprint scans high quality responses from automatic ...
IEEE

Enhanced Time-Series Activity Recognition with a Hybrid CNN-SVM Model: Insights from Wearable Sensor Analysis

Abstract: The fundamental requirement of time-series activity detection that uses wearable sensors spreads across healthcare monitoring alongside fitness tracking and smart environments applications.