IEEE

FIBS-Unet: Feature Integration and Block Smoothing Network for Single Image Dehazing

Abstract: The dehazing algorithms are based on the hazy simulation equation to remove haze and restore the input image feature maps by estimating the intensity coefficient of the atmospheric light ...
IEEE

Combining Contextual Information by Integrated Attention Mechanism in Convolutional Neural Networks for Digital Elevation Model Super-Resolution

Abstract: High-resolution digital elevation models (HR DEMs) can provide accurate geographic information, which is widely used in flood risk evaluation, hazard mapping, and hydrological modeling. The ...
GitHub

Phase-aware speech enhancement with Deep Complex U-Net

For research I chose this article "Phase-aware speech enchancement with Deep Complex U-Net", which describes the architecture and training of a convolutional neural network for improving speech, ...
SciELO

ENHANCED U-NET ALGORITHM FOR TYPICAL CROP CLASSIFICATION USING GF-6 WFV REMOTE SENSING IMAGES

Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables ...
Tech Times

DeepSeek Releases DSpark: Speculative Decoding Makes V4 Up to 85 Percent Faster

DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...
Frontiers

AI-Driven Forensic Science: Decoding Complex Chemical and Biological Mixtures with Advanced Models

Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...
GitHub

Deep learning models for traffic prediction

ACFM ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction Pytorch ACM MM2018/A STDN Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction Keras AAAI2019/A ...