IEEE

Efficient Joint Transmit and Receive Beam Alignment via Sequential CNN LSTM Networks

Abstract: This paper introduces a deep learning-assisted joint transmit and receive beam tracking approach for uplink multiple-input multiple-output (MIMO) communication over millimeter wave (mmWave) ...
IEEE

Survey on Prediction of Cardiomegaly Disease Using Convolutional Neural Networks (CNN)

Abstract: Cardiomegaly, or an enlarged heart, is a serious medical disorder that is frequently identified using chest radiography. Recent advances in deep learning, notably Convolutional Neural ...
IEEE

Dynamical Causal Graph Neural Network for EEG Emotion Recognition

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
GitHub

Biomolecular-Design-Nexus/mutcompute_mcp

The MutCompute MCP server provides both synchronous and asynchronous APIs for protein mutation analysis. It predicts the effect of point mutations on protein stability by analyzing 3D protein ...
IEEE

A Review of Uncertainty Representation and Quantification in Neural Networks

Abstract: Effectively estimating the uncertainty attached to neural network predictions thus becomes essential to improve robustness, reliability, and trustworthiness. This paper provides an overview ...
IEEE

Memristor-Based Feature Recall Neural Network Circuit With Temporal Differentiation of Emotion and its Application in Parts Inspection

Abstract: From the perspective of time, the generation of emotion has not only emotional generalization but also emotional differentiation. Most studies of emotional systems only consider the present ...
GitHub

Neural Network from Scratch

Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...
IEEE

Number Pattern Recognition of C1 Sheet by Convolutional Neural Network (CNN) Method

Abstract: This study aims to develop a feature extraction model for number patterns on sheet C1 using the Convolutional Neural Network (CNN) method and improve the results of the Convolutional Neural ...
IEEE

Hybrid Attention Driven CNN-Mamba Multimodal Fusion Network for Remote Sensing Image Semantic Segmentation

Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...
Fox News

Fox News Channel marks 24 consecutive years as most-watched cable news network with dominant January

Fox News Channel (FNC) has been America’s No. 1 cable news option for 24 consecutive years after dominating January, commanding nearly 60% of the cable news share across both total day and primetime.
IEEE

SiamMask-ICDNet: A Hybrid Algorithm of Siamese Neural Network and Mask R-CNN for Island Building Change Detection

Abstract: Timely detection of construction changes on islands is crucial for environmental conservation, resource management, and sustainable development. Current methodologies typically employ ...