GitHub

A Step Towards Music Generation Foundation Model

We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic ...
GitHub

dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language Model

dots.ocr is a powerful, multilingual document parser that unifies layout detection and content recognition within a single vision-language model while maintaining good reading order. Despite its ...

OpenAI has new agentic coding partner for you now: GPT-5-Codex

From cloud hand-offs to GitHub reviews, GPT-5-Codex is optimized for agentic coding and designed to supercharge developer workflows.
IEEE

Automatic Persian Speech Emotion Recognition: A CNN-Based Approach Using PDREC and ShEMO Datasets

Abstract: The need for advanced Speech Emotion Recognition (SER) systems has grown with the development of human-machine interaction technologies. This paper introduces a CNN model specifically ...
IEEE

A Multimodal IoT Sensing System with Hybrid LSTM-CNN Model for Predictive Fault Diagnosis in Elevators

Abstract: This paper presents a multimodal Internet of Things (IoT)-enabled sensing system integrated with a hybrid deep learning framework for predictive fault diagnosis in elevator systems. The ...
IEEE

A Hybrid 3D CNN and Artificial Ecosystem-based Optimization (AEO) Model for Thyroid Nodule Detection

Abstract: Generally, doctors frequently require sophisticated diagnostic equipment to identify and do follow-up diagnoses on thyroid nodules. They spend a long time manually extracting features from ...
GitHub

A tiny (~300 lines) event loop for Python

Ever used asyncio and wished you hadn't? tinyio is a dead-simple event loop for Python, born out of my frustration with trying to get robust error handling with ...
IEEE

SDCnet: a deep learning network model for road segmentation based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
IEEE

Optimization of Reconfigurable Intelligent Surface Codebooks Using a Mutual Coupling Aware CNN Model of Scattered Fields

Abstract: Digital reconfigurable intelligent surfaces (RISs) consist of unit cells that can operate in a finite number of discrete states, typically controlled by switching circuits. The selection of ...
IEEE

Detecting Plant Disease Using Machine Learning

Abstract: Plant diseases are becoming more common, which is a serious danger to the world's food security. Manual examination is a common component of traditional illness detection procedures, which ...
IEEE

Design of an improved model for real-time fault detection and localization using hybrid transformer-CNN and graph neural networks

Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...
GitHub

FaultSeg3D: using synthetic datasets to train an end-to-end convolutional neural network for 3D seismic fault segmentation

If you would just like to try out a pretrained example model, then you can download the pretrained model and use the 'prediction.ipynb' script to run a demo. On 05/07/2020, new models are uploaded for ...