IEEE

A CNN-iTransformer Spatiotemporal Fusion Model for Long-Term eLoran Propagation Prediction

Abstract: The accurate prediction of propagation delay is imperative for enhancing the timing precision of eLoran systems. In this letter, a hybrid deep learning framework that integrates spatially ...

Beyond Engineering And Math: How To Build A Career In AI As A Humanities Student?

Previously, coding demanded extensive software and mathematical knowledge. Today, languages like Python are as simple to learn as new languages like English or French.

‘Happy (and safe) shooting!’ AI chatbots helped teen users plan violence in hundreds of tests

As chatbots explode in popularity among young people, CNN’s investigation found that most of those we tested are not only failing to prevent potential harm – they are actively assisting users by ...
GitHub

Kronos: A Foundation Model for the Language of Financial Markets

Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. Kronos is a family of decoder-only foundation models, pre-trained ...
IEEE

Time-Series Classification Using a CNN-LSTM Model with Attention, Autoencoder, and K-Fold Cross-Validation

Abstract: Here, we propose a hybrid Deep Learning (DL) framework consisting of a Denoising Autoencoder (DAE), Convolutional Neural Network (CNN), Bidirectional LSTM (BiLSTM), and a custom Attention ...
IEEE

A Deep Learning Framework for Network Intrusion Detection Using hybrid CNN-BiGRU-Multi-Head Attention model

Abstract: This paper describes a fresh IDS framework that utilizes CNN and BiGRU and Multi-Head Attention techniques to develop an improved deep learning approach for network protection from changing ...
IEEE

Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection

Abstract: A common neurological condition that causes cognitive decline, particularly in older people, is Alzheimer's disease (AD). In order to improve patient treatment and minimize the progression ...
GitHub

Motus: A Unified Latent Action World Model

Inference (without pre-encoded T5) ~ 41 GB A100 (40GB) / A100 (80GB) / H100 / B200 Motus_Wan2_2_5B_pretrain Pretrain / VGM Backbone Stage 1 VGM pretrained checkpoint ...
IEEE

Enhancing Waste Detection Accuracy with CNN-based YOLO Model

Abstract: Indonesia generated over 60 million tons of waste in 2024, with organic ($41.6 \%$) and plastic ($18.7 \%$) waste being the prevalent types. Low accuracy of existing automated detection ...
IEEE

Power Load Forecasting Based on GA-Optimized CNN-LSTM Model

Abstract: This paper proposes a short-term load forecasting method based on a GA-optimized CNN-LSTM model. The model combines the strengths of CNN in extracting local spatial features and LSTM in ...
IEEE

An Attention-Augmented BiLSTM-CNN Model for Stock Price Prediction

Abstract: The inherent volatility of the stock market has challenged investors in seeking reliable predictive models. This paper presents a hybrid deep learning model that combines bidirectional long ...
IEEE

A Hybrid CNN-GRU Model with Attention Mechanism for the Detection of Epileptic Seizures in EEG Signals

Abstract: Epilepsy, a persistent neurological condition marked by spontaneous seizures due to uncontrolled functioning of the brain. The uncertain nature of seizures has an immense effect on patients ...