Results 81 to 90 of about 927,597 (297)

Development of user-customized online teaching technology based on GPT, enhanced by generative AI-based motion recognition

open access: yesScientific Reports
This paper addresses current issues in existing joint tracking and motion recognition algorithms for Human Pose Estimation. It proposes a solution using the Numerical Discriminator Generative Adversarial Network (ND_GAN) to improve the performance of ...
Kyoung-Geun Cho   +9 more
doaj   +1 more source

Geometric configuration in robot kinematic design [PDF]

open access: yes, 2006
A lattice of geometries is presented and compared for representing some geometrical aspects of the kinematic design of robot systems and subsystems. Three geometries (set theory, topology and projective geometry) are briefly explored in more detail in ...
Rooney, Joe
core  

Human-Robot Trust Integrated Task Allocation and Symbolic Motion planning for Heterogeneous Multi-robot Systems

open access: yes, 2018
This paper presents a human-robot trust integrated task allocation and motion planning framework for multi-robot systems (MRS) in performing a set of tasks concurrently.
Liao, Zhanrui, Wang, Yue, Zheng, Huanfei
core   +1 more source

Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains

open access: yesFEBS Open Bio, EarlyView.
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth   +6 more
wiley   +1 more source

Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation

open access: yesScientific Reports
Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data.
Fang Liu   +4 more
doaj   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

Study of the Importance of Adequacy to Robot Verbal and Non Verbal Communication in Human-Robot interaction

open access: yes, 2012
The Robadom project aims at creating a homecare robot that help and assist people in their daily life, either in doing task for the human or in managing day organization. A robot could have this kind of role only if it is accepted by humans.
Duhaut, Dominique   +2 more
core   +2 more sources

Robot Dream

open access: yes, 2016
In this position paper we present a novel approach to neurobiologically plausible implementation of emotional reactions and behaviors for real-time autonomous robotic systems. The working metaphor we use is the "day" and "night" phases of mammalian life. During the "day" phase a robotic system stores the inbound information and is controlled by a light-
Tchitchigin A.   +3 more
openaire   +4 more sources

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

open access: yesFEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman   +4 more
wiley   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

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