RegICON 2025 at Gauhati University calls to safeguard endangered languages through AI

The Regional International Conference (RegICON) 2025 began with the release of an introductory video at PD Hall, drawing scholars and practitioners from Japan, the Czech Republic, Hong Kong, Malaysia, ...
IEEE

DRL-ED-TSPP: A Deep Reinforcement Learning Model With Encoder-Decoder for Solving the Traveling Salesman Problem With Profits

Abstract: The rapid growth of smart cultural tourism necessitates intelligent path planning solutions that harmonize diverse stakeholder interests, including tourist satisfaction, attraction ...
Frontiers

Multi-scale and deeply supervised network for image splicing localization

1 Guangxi Key Lab of Brain-Inspired Computing and Intelligent Chips, School of Electronic and Information Engineering, Guangxi Normal University, Guilin, China 2 Key Laboratory of Nonlinear Circuits ...
AlphaGalileo

Drones and deep learning boost soybean breeding with 3D canopy insights

Soybean is a vital food, feed, and industrial crop, and its global demand continues to grow. Efficient breeding requires large-scale evaluation of hundreds of soybean lines, yet traditional field ...
IEEE

Deep Learning-Based Iterative Residual Encoder-Decoder Solution for Electromagnetic Modeling over a Broad Frequency Band

Abstract: In this letter, we propose a deep learning-based iterative residual encoder-decoder method (IRED), which provides an efficient deep learning framework for electromagnetic modeling over a ...
Hosted on MSN

How to Read Deep Learning Code: A Beginner’s Guide

Learn how to effectively read and understand deep learning code with this beginner-friendly guide. Break down complex scripts and get comfortable navigating AI projects step by step. #DeepLearning ...
Frontiers

Domain adaptive deep possibilistic clustering for EEG-based emotion recognition

In the field of affective computing (Muhl C. and G., 2014), automatic emotion recognition (AER) (Stern, 2002) has gained significant attention (Kim et al., 2013; Zhang et al., 2013), especially for ...
Scientific Research Publishing

Daniel, G.V., Chandrasekaran, K., Meenakshi, V. and Paneer, P. (2023) Robust Graph Neural-Network-Based Encoder for Node and Edge Deep Anomaly Detection on Attributed Networks ...

ABSTRACT: Drug repositioning aims to identify new therapeutic applications for existing drugs offering a faster and more cost-effective alternative to traditional drug discovery. Since approved drugs ...
Cancer Research

Abstract A045: Unlocking deep learning for cell-free DNA-based early colorectal cancer detection Free

Colorectal cancer (CRC) is the second most common cause of cancer-related death in the US. Screening reduces cancer mortality through early detection, but only 59% of eligible individuals are up to ...
Scientific Research Publishing

Feng, L., Zhao, C. and Sun, Y. (2021) Dual Attention-Based Encoder-Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development. IEEE Transactions on Neural ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
ahajournals.org

Abstract P3089: Predicting Reductions In Hemoglobin A1c From Large Dietary Datasets Using Artificial Intelligence Pipeline With Interpretable Encoder-Decoder Deep Neural Networks

Introduction: Artificial intelligence algorithms can help understand and predict the complex interactions between dietary intake and health outcomes, especially from large datasets. Precision ...