Results 51 to 60 of about 80,827 (151)
A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes
Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner +6 more
wiley +1 more source
Applications of large‐scale artificial intelligence models in bioinformatics
Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li +5 more
wiley +1 more source
Fossil Hegemony and Capitalist Realism in Tropic of Orange
ABSTRACT This article examines Karen Tei Yamashita's Tropic of Orange (1997) through the lens of Mark Fisher's influential concept ‘capitalist realism’. Scholars of petrofiction have pointed to a political ambivalence in the representation of fossil fuels, where a better understanding of fossil capital can overwhelm as much as galvanize.
Claire Ravenscroft
wiley +1 more source
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam +3 more
wiley +1 more source
Mapping Labor Demand for Data‐Intensive Work in the United Kingdom, Canada, and the United States
ABSTRACT The paper makes three main contributions. First, it develops an NLP‐based methodology to identify data‐intensive skills in job advertisements at scale. Second, it operationalizes a transparent indicator of data intensity for occupations and industries. Third, by applying the method to job advertisements from the United Kingdom, Canada, and the
Julia Schmidt +2 more
wiley +1 more source
Persistent luminescence (PersL), or afterglow, is the phenomenon of light emission that continues long after the excitation source is removed. This review systematically covers the historical development and major material forms of organic PersL materials, detailing their operating principles, mechanisms, and typical applications.
Cunjian Lin, Jumpei Ueda
wiley +1 more source
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar +10 more
wiley +1 more source
ABSTRACT Software fault prediction (SFP) plays a crucial role in modern software development by enabling early identification of fault‐prone modules and efficient allocation of testing resources. While deep learning approaches have shown promise in this domain, challenges persist regarding architectural choices, metric selection, and class imbalance ...
Khoa Phung +2 more
wiley +1 more source
Parts Surface Defect Detection Algorithm Based on Improved YOLOv8s
Enhanced YOLOv8s for real‐time surface defect detection: An improved YOLOv8s deep learning model is developed for detecting fatigue and linear cracks on part surfaces. Trained on a high‐resolution crack dataset with diverse environmental and texture conditions, the model achieves mAP@0.5 = 0.9626, mAP@0.5:0.95 = 0.7803, Precision = 0.926, and Recall ...
Zhe Sun +3 more
wiley +1 more source
ECLYPSE: A Python Framework for Simulation and Emulation of the Cloud‐Edge Continuum
ABSTRACT The Cloud‐Edge continuum enhances application performance by bringing computation closer to data sources. However, it presents considerable challenges in managing resources and determining application service placement, as these tasks require analyzing diverse, dynamic environments characterized by fluctuating network conditions.
Jacopo Massa +5 more
wiley +1 more source

