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Unsupervised 3D Reconstruction with Multi-Measure and High-Resolution Loss

Sensors, 2022
Multi-view 3D reconstruction technology based on deep learning is developing rapidly. Unsupervised learning has become a research hotspot because it does not need ground truth labels.
Yijie Zheng +5 more
doaj +1 more source

G2O-Pose: Real-Time Monocular 3D Human Pose Estimation Based on General Graph Optimization

Sensors, 2022
Monocular 3D human pose estimation is used to calculate a 3D human pose from monocular images or videos. It still faces some challenges due to the lack of depth information.
Haixun Sun +4 more
doaj +1 more source

The ergonomics of command and control [PDF]

, 2006
Since its inception, just after the Second World War, ergonomics research has paid special attention to the issues surrounding human control of systems.
Stanton, Neville A. +4 more
core +1 more source

Meta-analysis of the effects of ambient temperature and relative humidity on the risk of mumps

Scientific Reports, 2022
Many studies have shown that the relationship between ambient temperature, relative humidity and mumps has been highlighted. However, these studies showed inconsistent results.
Taiwu Wang +9 more
doaj +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source

Model inductive bias enhanced deep reinforcement learning for robot navigation in crowded environments

Complex & Intelligent Systems
Navigating mobile robots in crowded environments poses a significant challenge and is essential for the coexistence of robots and humans in future intelligent societies. As a pragmatic data-driven approach, deep reinforcement learning (DRL) holds promise
Man Chen +5 more
doaj +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source

A New Benchmark for Instance-Level Image Classification

IEEE Access, 2020
Although fine-grained image classification is able to classify more fine-grained sub-categories compared to its coarse-grained counterpart, it often fails to identify individual instances.
Kai Kang +4 more
doaj +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source

Representation Learning of Knowledge Graphs With Entity Attributes

IEEE Access, 2020
Most of the existing knowledge representation learning methods project the entities and relations represented by symbols in the knowledge graph into the low-dimensional vector space from the perspective of the structure and semantics of triples, and ...
Zhongwei Zhang +5 more
doaj +1 more source

deep reinforcement learning