Results 71 to 80 of about 1,954,648 (281)
Machine Learning for Urban Computing
This chapter discusses the key techniques in machine learning (ML) and their use in various urban computing (UC) scenarios. It introduces the main concepts and key techniques of ML, followed by relevant issues while designing any ML study. ML methods can
Salah, Albert, Aydogdu, Bilgecag
core
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Affective Computing: Recent Advances, Challenges, and Future Trends
Affective computing is a rapidly growing multidisciplinary field that encompasses computer science, engineering, psychology, neuroscience, and other related disciplines.
Guanxiong Pei +5 more
doaj +1 more source
Multimodal Emotion Recognition for Visualizing Storyline in a TV Series [PDF]
Automatic analysis of video archives is a topic long-researched in multimedia. In this work, conducted with RTL Netherlands, we investigated methods for developing an integrated tool for analysis and visualization of the storyline in a TV series by ...
Multimedia +12 more
core +1 more source
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Mistaken Pedal Pressing during Emergency Braking by Analyzing Pedal Behaviors
Affective computing has been used to improve computer usability and user interface by considering user's emotion. There is still ample scope for exploration of affective computing especially for applications in a driver assistance system to ...
Rahadian Yusuf +2 more
doaj +1 more source
This book provides an overview of state of the art research in Affective Computing. It presents new ideas, original results and practical experiences in this increasingly important research field. The book consists of 23 chapters categorized into four sections. Since one of the most important means of human communication is facial expression, the first
openaire +2 more sources
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Predicting cardiovascular disease in patients with mental illness using machine learning
Background Cardiovascular disease (CVD) is twice as prevalent among individuals with mental illness compared to the general population. Prevention strategies exist but require accurate risk prediction.
Martin Bernstorff +4 more
doaj +1 more source

