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 đź“ť. 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, ...
GitHub

Open3D-VQA: A Benchmark for Embodied Spatial Concept Reasoning with Multimodal Large Language Model in Open Space

We present Open3D-VQA, a novel benchmark for evaluating MLLMs' ability to reason about complex spatial relationships from an aerial perspective.The QAs are automatically generated from spatial ...
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

Real-Time Analysis of Biomedical Signals in IoT-Enabled Healthcare Systems Using a Hybrid CNN-LSTM Model

Abstract: Biomedical signal analysis is essential in IoT-enabled healthcare systems, facilitating real-time health monitoring and early anomaly detection. However, current methodologies frequently ...

10 things I learned from burning myself out with AI coding agents

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
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 ...