IEEE

Hybrid CNN-Transformer Model for Accurate Classification of Human Attention Levels Using Workplace EEG Data

Abstract: Accurately detecting human attention levels is a key challenge in cognitive neuroscience, with broad application value in improving productivity. Although Electroencephalography (EEG) ...
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 ...
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

A CNN-BiLSTM-Based Evaluation Model for Steady-State Bearing Fault Diagnosis Method

Abstract: Accurate identification of rolling bearing faults is essential for ensuring the reliability of rotating machinery. This study introduces an evaluation model based on a Convolutional Neural ...
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

Pao-Ding: Accelerating Cross-Edge Video Analytics via Automated CNN Model Partitioning

Abstract: Cross-edge video analytics is a technology that involves collaborative processing of video data among multiple edge devices. To handle increasingly complex video analytics tasks on edge ...
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 ...