IEEE

Multi-Location and Multi-Feature LMP Forecasting: A 2D Spatiotemporal LSTM-CNN Approach

Abstract: Accurate Locational Marginal Price (LMP) forecasting is crucial for effective energy procurement in electricity markets, as it helps utilities make informed, cost-efficient decisions. This ...
IEEE

A Hybrid Transformer CNN Model for Automated MASW Dispersion Curve Extraction and Subsurface Characterization

Abstract: A popular geophysical method for near-surface shear-wave velocity profiling is Multichannel Analysis of Surface Waves (MASW). Extracting dispersion curves from recorded seismic data is a ...
IEEE

Point-Cloud-Based Place Recognition Using CNN Feature Extraction

Abstract: This paper proposes a novel point-cloud-based place recognition system that adopts a deep learning approach for feature extraction. By using a convolutional neural network pre-trained on ...
Bleeping Computer

Germany warns of Signal account hijacking targeting senior figures

Germany's domestic intelligence agency is warning of suspected state-sponsored threat actors targeting high-ranking individuals in phishing attacks via messaging apps like Signal. The attacks combine ...
IEEE

AI-Powered Multimodal Seizure Detection and Classification using CNN and GAN-based EEG Signal Analysis

Abstract: Epilepsy is one of the most common neurological disorders and it still requires very precise and quick detection of seizures in order to provide effective medical treatment. The systems ...
Frontiers

Adaptive self-attention for enhanced segmentation of adult gliomas in multi-modal MRI

Every year there are an estimated 80,000–90,000 new glioma cases, highlighting the need for reliable imaging-based decision support. Although deep learning has improved tumor sub-region segmentation, ...
SiliconANGLE

Cerebras raises $1B more for its wafer-size AI chip

Four months after closing a $1.1 billion funding round, chip startup Cerebras Systems Inc. today announced that it has raised an additional $1 billion from many of the same investors. Tiger Global led ...
IEEE

Using Code Coverage to Assess Feature Gaps in MPI Correctness Tool Classification Tests

Abstract: We examine the code generator-based MPI correctness benchmark MPI-BugBench (MBB) by analyzing the code coverage it triggers in three tools: MUST, PARCOACH, and clang-tidy. We present our ...
IEEE

ECGNET-H: A Hybrid CNN-GRU Model for Real-Time ECG Signal Classification

Abstract: Electrocardiogram (ECG) signals are crucial for early detection and ongoing monitoring of cardiovascular diseases. This research introduces ECGNet-H, a new hybrid deep learning framework ...