Tootfinder

DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
Weitao Zhou, Bo Zhang, Zhong Cao, Xiang Li, Qian Cheng, Chunyang Liu, Yaqin Zhang, Diange Yang
https://arxiv.org/abs/2506.16720

DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
With the increasing presence of automated vehicles on open roads under driver supervision, disengagement cases are becoming more prevalent. While some data-driven planning systems attempt to directly utilize these disengagement cases for policy improvement, the inherent scarcity of disengagement data (often occurring as a single instances) restricts training effectiveness. Furthermore, some disengagement data should be excluded since the disengagement may not always come from the failure of dri…

Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis
Pengyu Han, Zeyi Liu, Shijin Chen, Dongliang Zou, Xiao He
https://arxiv.org/abs/2506.17740

Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis
Multi-condition fault diagnosis is prevalent in industrial systems and presents substantial challenges for conventional diagnostic approaches. The discrepancy in data distributions across different operating conditions degrades model performance when a model trained under one condition is applied to others. With the recent advancements in deep learning, transfer learning has been introduced to the fault diagnosis field as a paradigm for addressing multi-condition fault diagnosis. Among these me…

Wir sind sehr happy, bei unserem #4CultureCommunityPlenary im September am 24.9.2025 Gastgeberin der Verleihung des diesjährigen #DigAMus #Award zu sein. ✨
ℹ️ Bis zum 31.7.2025 können Museums…

Ihr leitet bereits erfolgreich eine Mädchengruppe oder seid noch nie mit dem Thema Mädchenschach in Berührung gekommen? Ganz egal wie euer Erfahrungsschatz und Spielniveau aussieht, die Mädchenbetreuerinnenausbildung richtet sich an alle, die sich mit dem Training und der Betreuung von Schachspielerinnen auseinandersetzen möchten.
Hier könnt ihr euch anmelden:

Digging My Way Out
#AngryAmbient #NowPlaying
https://muz4now.com/2024/digging-my-wa

Digging My Way Out #NowPlaying
Stan Stewart - @muz4now

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Jiangnan Zhao (Key Laboratory of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing, PR China, Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs of China, China Agricultural University, Beijing, PR China), Hanbo Xu (Key Laboratory of Smart Agric…

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Potato late blight, caused by the oomycete pathogen Phytophthora infestans, is one of the most devastating diseases affecting potato crops in the history. Although conventional detection methods of plant diseases such as PCR and LAMP are highly sensitive and specific, they rely on bulky and expensive laboratory equipment and involve complex operations, making them impracticable for point-of care diagnosis in the field. Here in this study, we report a portable RPA-CRISPR based diagnosis system f…

A post from the archive 📫:
Making production diagnostics easier with Source Link
https://www.poppastring.com/blog/making-production-diagnostics-easier-with-source-link

"Silicon Valley’s era of innovation is over. This is their villain era. The era of the con. Having bled themselves dry of ideas, and all sense of moral decency, they’re now attempting to bleed us dry of our own humanity."
(Original title: How to keep sea-monkeys alive)
https://

How to keep sea-monkeys alive
Little painting I did a couple of weeks ago. There’s a stick so it looks like a protest sign, but I cropped it out. Enjoying the newsletter? Gimme $2 for...

AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis
Jiale Liu, Dandan Peng, Huan Wang, Chenyu Liu, Yan-Fu Li, Min Xie
https://arxiv.org/abs/2506.16225

AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis
Aerospace engines, as critical components in aviation and aerospace industries, require continuous and accurate fault diagnosis to ensure operational safety and prevent catastrophic failures. While deep learning techniques have been extensively studied in this context, they output logits or confidence scores, necessitating post-processing to derive actionable insights. Furthermore, the potential of large-scale audio models in this domain remains largely untapped. To address these limitations, t…

Wir sind sehr happy, bei unserem #4CultureCommunityPlenary im September am 24.9.2025 Gastgeberin der Verleihung des diesjährigen #DigAMus #Award zu sein. ✨
ℹ️ Bis zum 31.7.2025 können Museums…