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.
GitHub

A Step Towards Music Generation Foundation Model

We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic ...
IEEE

Hybrid CNN-LSTM Model for DDoS Attack Detection in Internet of Things-based Healthcare Industry 5.0

Abstract: The convergence of the Internet of Things (IoT) and Software-Defined Networking (SDN) has paved the way for a new technological paradigm in Healthcare Industry 5.0. This integration ...
IEEE

HMDDD: Hybrid Model for Distracted Driver Detection through Fusion of CNN and VGG-16

Abstract: There has been an increase in the total number of road accidents leading to fatal injuries and deaths in recent years. A major reason behind these staggering figures are distracted drivers.
IEEE

Evaporation Duct Propagation Environment Prediction Based on CNN-BiGRU Model

Abstract: A hybrid CNN-BiGRU model based on deep learning, including Convolutional Neural Net work (CNN) and Bidirectional Gated Recurrent Unit (BiGRU), is proposed to predict evaporation duct (ED) ...
IEEE

A Hybrid CNN-LSTM Model for Enhanced Intrusion Detection in Internet of Things Environments

Abstract: The exponential expansion of the Internet of Things (IoT) has precipitated a concerning increase in advanced cyber-attacks, posing significant problems for the protection of these networked ...
GitHub

A Generative Foundation Reward Model (GRAM)

This repository contains the code and released models for our paper GRAM: A Generative Foundation Reward Model for Reward Generalization 📝. We propose a more effective approach to reward model ...
GitHub

Neural Graphics Model Gym

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
IEEE

Study on Depression Detection Model with Self-Supervised Speech Representation: The Architecture of wav2vec2-LSTM-CNN

Abstract: Depression is a common mental disorder with increasing global incidence rates. Traditional diagnostic methods rely on subjective assessments, which are time-consuming, costly, and lack ...
GitHub

stevereiner/python-alfresco-api

A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...
IEEE

A Transformer Fault Diagnosis Method Based on Data Augmentation and IEVO-CNN

Abstract: Deep learning algorithms have become a trending approach for transformer fault diagnosis. However, challenges such as data imbalance leading to poor model learning performance and ...
IEEE

Parallel CNN Deep Learning Model for Security Monitoring and Fault Prediction in Electrical Systems

Abstract: Electrical systems keep things running in modern life, but they often run into problems like imbalances, short circuits, ground faults, and overloading, which can cause equipment to break ...