IEEE

Deep Learning Approaches to Babylonian Numeral Recognition: A CNN-SVM Hybrid Model

Abstract: This paper presents a novel deep learning framework for classifying Babylonian numerals by integrating Convolutional Neural Networks (CNNs) with a hybrid CNN-SVM model. The core ...
IEEE

A Comprehensive Hybrid CNN-LSTM Deep Learning Model for Accurate Landslide Prediction

Abstract: A significant natural threat, landslides take lives and damage infrastructure. Economic setbacks often follow. The complex interplay of external factors-like terrain attributes and data on ...
IEEE

An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features

Abstract: Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches.
IEEE

Enhancing State-of-Charge Prediction for PEVs Using Hybrid CNN and LSTM Machine Learning Techniques

Abstract: The State of Charge (SoC) estimation of lithiumion batteries is a critical aspect in the domain of plug-in electric vehicles (PEVs), influencing their performance, range, and overall ...
IEEE

Advancing Road Safety: A CNN-Based Semi-Supervised Learning Approach for Drivers' Drowsiness Detection

The National Safety Council (NSC) has reported that each year, driver fatigue is responsible for 100,000 accidents, 71,000 injuries, and 1,550 fatalities, often manifesting as drowsiness. Most current ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
IEEE

Deep Learning for Multi-Class DDoS Detection in SDNs: A CNN-LSTM Based Approach

Abstract: Recently Distributed Denial of Service (DDoS) attacks have increased extensively, taking about 35% of all cyber threats among which the attack characteristic rises around 300% within the ...
IEEE

A Review on Quantum Machine Learning in Applied Systems and Engineering

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
IEEE

Footprint-Based Animal Identification: A Hybrid Model Combining CNN, SVM, and Transfer Learning for Wildlife Encroachment

Abstract: Animals can be identified by using various machine learning techniques among which a hybrid model combines multiple techniques together. In this approach a hybrid model with Convolutional ...
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, ...
IEEE

Machine Learning-Enabled RIS-Assisted mmWave NOMA Systems: RIS Partitioning, Beamforming Design, and Power Allocation

Abstract: In this paper, a reconfigurable intelligent surface(RIS)-assisted millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) communication system is considered, where the RIS is ...
IEEE

Automated Trash Detection and Classification Using CNN: A Deep Learning Approach

Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...