Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley +1 more source
Analysis of urban subway construction collapse disaster chain and research on chain breaking and disaster reduction. [PDF]
Zhang Y+6 more
europepmc +1 more source
Fairness in Federated Learning: Trends, Challenges, and Opportunities
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar+2 more
wiley +1 more source
Hand therapy experience after major earthquakes in 2023 in Türkiye: A single-site evaluation. [PDF]
Emir Z, Güney Ö, Çevik K.
europepmc +1 more source
4034) Residentiality of Ward Area in Tokyo(Town Planning, Building Economy, Disaster Prevention)
Tadashi Higasa+2 more
openalex +2 more sources
Untethered Autonomous Holonomic Mobile Micromanipulator for Operations in Isolated Confined Spaces
Herein, a lightweight (515 g), compact (10 cm3), untethered holonomic mobile micromanipulator powered by piezoelectric actuators is presented. It autonomously manipulates mm to sub‐mm objects and droplets in narrow, hazardous spaces, achieving 0.18 ± 0.51 mm positioning accuracy and −0.4° ± 1.2° angular deviation.
Ryosuke Kinoshita+7 more
wiley +1 more source
Risk perception of emergency medical technicians in biological disasters: a comparison between COVID-19 and Non-COVID-19 cases. [PDF]
Mahmodi MA+3 more
europepmc +1 more source
The radiomics feature could save the storage space of all medical samples; on the other hand, it avoids data leakage. Graph convolutional neural networks could summarize the similarity of benign and malignant pulmonary nodules to improve the performance in distinguishing them with radiomics and common clinical features.
Renjie Xu+7 more
wiley +1 more source
Urbanization and emerging mental health problems: the role of the WPA Section on Urban Mental Health. [PDF]
Kato TA+4 more
europepmc +1 more source