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

Optimized Electric Vehicle Charging Scheduling Using a Cnn-Lstm Hybrid Deep Learning Model

Abstract: The rapid adoption of electric vehicles (EVs) has resulted in considerable issues in the management of charging stations, especially in forecasting charging demand and optimising energy ...
IEEE

Deep Learning-Powered Signature Authentication: The SigVerify CNN Model

Abstract: Verification of signatures is critical for authentication procedures in the legal, banking, and financial domains. A cutting-edge, AI-powered technology called SigVerify Project uses deep ...
IEEE

Deep Learning for Satellite Image Classification: A Comparative Analysis of CNN and ResNet-18

Abstract: With the ease of classifying land through satellite imaging, remote sensing has captured the Earth observation domain. Traditional methods for analyzing satellite images relied on manual ...
IEEE

Hybrid Deep Learning for Automatic Gauge Reading with CNN-Bidirectional GRU-LSTM

Abstract: Automatic gauge reading plays a vital role in industrial automation, enabling efficient and accurate monitoring of parameters such as pressure, temperature, and flow. Traditional image ...
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

EEG Motor Execution Classification Using RG-CNN-LSTM: A Riemannian Geometry-Inspired Deep Learning Approach

Abstract: Detecting motor-related brain activity is essential for advancements in brain-computer interface (BCI) applications, particularly in neurorehabilitation and assistive technologies. While ...
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

Real-Time Cyberbullying Detection Across Multimodal Platforms Using XLNET and Deep CNN

Abstract: Cyberbullying has emerged as a primary societal concern with the widespread use of social media and online communication systems. The developing complexity of virtual interactions, together ...
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 ...
AOL

City Council questions Social Services Chief Molly Wasow Park over Code Blue response during NYC deep freeze

A heartbreaking 96% of pleas to help homeless New Yorkers never actually led to any assistance since the deadly cold snap hit the Big Apple — with city workers unable to even find the destitute ...