IEEE Access is a multidisciplinary, open access journal covering all IEEE fields of interest. Its hallmarks are rapid, quality peer review, with a submission-to-publication time of 4 to 6 weeks. https://ieeeaccess.ieee.org/
IEEE Access
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New research in this featured IEEE Access article highlights that smartphone-based Human Activity Recognition (HAR) shows that Self-Supervised Learning (SSL) can outperform traditional supervised models, even with limited labeled data: ieeexplore.ieee.org/document/114...
At IEEE Access, we recognize that failure isn’t the opposite of success. It’s part of the process. Every setback is a step toward innovation, discovery, and growth.
Engineering breakthroughs don’t happen without experimentation, persistence, and the courage to try again.
At IEEE Access, we share this vision of empowering the next generation to explore, innovate, and lead through science and engineering. By inspiring curiosity today, we’re building the foundation for breakthroughs that will shape a better, more sustainable future for all.
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Sparse rewards are still one of the hardest problems in reinforcement learning.
When feedback is delayed, most agents struggle to learn anything meaningful.
A recent IEEE Access article proposes a different approach:
🔗 ieeexplore.ieee.org/document/113...
Sparse rewards are still one of the hardest problems in reinforcement learning.
When feedback is delayed, most agents struggle to learn anything meaningful.
A recent IEEE Access article proposes a different approach:
🔗 ieeexplore.ieee.org/document/113...
Japan is turning to robotics to address rising bear attacks, deploying handcrafted “Monster Wolf” robots to protect communities and farmland: interestingengineering.com/ai-robotics/...
A new breakthrough in AI-powered robotics is bringing us toward a future where humanoid assistants can handle everyday household tasks. These robots can understand human environments and translate instructions into real-world actions: bit.ly/4mjlMNX
Benchmarking rhythmic control for wearable robots: New study in #IEEEAccess compares three CPG models to understand how oscillators shape hip, knee, and ankle trajectories. 🦿
Read the full article: 🔗 https://loom.ly/1_Xm4pA
@ieeeaccess.bsky.social #TechSky #AI
𝐈𝐒𝐈 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲: UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift
With Spain, Poland, Italy and Egypt!
In @ieeeaccess.bsky.social
👉 ieeexplore.ieee.org/document/115...
IEEE Access
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IEEE Access
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IEEE Access
IEEE Access
A central challenge in reinforcement learning is enabling agents to efficiently learn in environments where rewards are sparse or significantly delayed. Many reward shaping approaches rely on handcraf...
A central challenge in reinforcement learning is enabling agents to efficiently learn in environments where rewards are sparse or significantly delayed. Many reward shaping approaches rely on handcraf...
ieeexplore.ieee.org
Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To address label...
World’s first service humanoid, UniX AI’s Panther enters homes with global rollout, marking a step toward everyday robot use.
bit.ly
Histopathology slide digitization introduces scanner-induced domain shift that can significantly impact computational pathology models based on deep learning methods. In the state-of-the-art, this shi...
