The widespread use of Deep Neural Networks (DNNs) is limited by high computational demands, especially in constrained environments. GPUs, though effective accelerators, often face underutilization and rely on coarse-grained scheduling. This paper int...
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study" (⭐ 747)
Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network". (⭐ 436)
Although recent inpainting approaches have demonstrated significant improvements with deep neural networks, they still suffer from artifacts such as blunt structures and abrupt colors when filling in the missing regions. To address these issues, we p...
Recent legislation has led to interest in machine unlearning, i.e., removing specific training samples from a predictive model as if they never existed in the training dataset. Unlearning may also be required due to corrupted/adversarial data or simp...
This paper introduces four different artificial intelligence algorithms for music generation and aims to compare these methods not only based on the aesthetic quality of the generated music but also on their suitability for specific applications. The...
Skeleton Ground Truth (GT) is critical to the success of supervised skeleton extraction methods, especially with the popularity of deep learning techniques. Furthermore, we see skeleton GTs used not only for training skeleton detectors with Convoluti...
progeny during the season.[citation needed] The current leading sire in Japan is Kizuna. Most leadings: 13 - Sunday Silence - 1995-2007 11 - Deep Impact -
Using new cosmological models for galaxy evolution, predictions for the next generation of deep mid-IR surveys are presented for both the ASTRO-F space telescope (due for launch 2003) and the proposed HII/L2 mission (2010). Although ASTRO-F will be...
Deep neural networks for video classification, just like image classification networks, may be subjected to adversarial manipulation. The main difference between image classifiers and video classifiers is that the latter usually use temporal informat...
3 days ago · Anas Sarwar says he is “embarrassed” by his father’s tribute to Ayatollah Khamenei, insisting he “deeply disagrees" and calling the Iranian regime “brutal”.
To assist with everyday human activities, robots must solve complex long-horizon tasks and generalize to new settings. Recent deep reinforcement learning (RL) methods show promise in fully autonomous learning, but they struggle to reach long-term goa...
Feb 22, 2016 · I have seen solutions on how to do movie deeplinking for Netflix for the mobile Netflix app, but for the Android TV version of the app those same solutions don't seem to be working. I have â¦
**TL;DR**: The hiring landscape has transformed dramatically. Here's my deep dive into the **best recruiting software** platforms that are crushing it in 2025, from budget-friendly options for startup...
High-resolution mapping of canopy height is essential for forest management and biodiversity monitoring. Although recent studies have led to the advent of deep learning methods using satellite imagery to predict height maps, these approaches often fa...
The Purple Beech Tree, also known as Fagus sylvatica purpurea, is a type of beech tree that is known for its stunning deep purple leaves. This tree is native to Europe and has been cultivated in North …
Anyone else feel like instead of the world of Star Trek we are living in the dystopian hell of Back to the Future Part II without the cool hoverboards? Like all our parents decided Biff Tannen was rig...
Hotel bathrooms are one of the most important places in terms of customer satisfaction, and where the most complaints are reported. To share their experiences, guests rate hotels, comment, and share images of their positive or negative ratings. An im...
Dive deeper into the people, communities, and collaborations that make up Mia and our collection of more than 100,000 artworks. Find out how we’re inspiring wonder through the power of art across …
This project utilizes advanced deep learning techniques to automatically generate contextually relevant captions for videos by extracting spatial and temporal features, while incorporating Gaussian attention to focus on important regions. This enhances video i…