Results 111 to 120 of about 8,063 (296)
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Design of Human–Computer Interaction Gesture Tracking Model Based on Improved PSO and KCF Algorithms
The detection and tracking of gesture targets is an important aspect in the dynamic gesture recognition. To meet the accuracy and speed requirements of human-computer interaction for dynamic gesture recognition, this study explores long-term gesture ...
Dinghua He, Yan Yang, Rangzhong Wu
doaj +1 more source
Astrocyte heterogeneity in brain metastases
Astrocytes emerge as pivotal regulators of metastatic colonization, survival, immune remodeling, and therapy response associated with an increasing heterogeneity that requires spatially and longitudinally resolved approaches to uncover regulatory programs and guide context‐specific therapies.
Carolina Hernández‐Oliver +2 more
wiley +1 more source
Exploratory Factor Analysis of Gait Recognition [PDF]
Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of the effects of covariates on the recognition process.
Mark S. Nixon +3 more
core +1 more source
Artificial Intelligence in Recognition of Dynamic Gestures
The development of effective methods for recognizing human hand gestures is an urgent task, both from a scientific and an applied point of view. Gesture recognition methods are the basis of contactless interfaces for managing technical systems. The most significant areas of application of gesture recognition systems are automatic sign language ...
Yevgeniy Muratov +2 more
openaire +1 more source
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
Bayesian fusion of hidden Markov models for understanding bimanual movements [PDF]
Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and human-computer interaction. A part of this can be the recognition of movements in which the two hands move simultaneously to do something or ...
A. Sutherland +5 more
core +1 more source
Real-Time Dynamic Gesture Recognition: A Novel Approach for Efficient Human-Computer Interaction
Dynamic gesture recognition systems face persistent challenges in achieving real-time performance and high recognition efficiency. This paper presents a novel framework integrating computer vision techniques with machine learning algorithms to address ...
Ahmed Mohammed Moyed
doaj +1 more source
Three-dimensional dynamic gesture recognition method based on convolutional neural network
With the rapid advancement of virtual reality, dynamic gesture recognition technology has become an indispensable and critical technique for users to achieve human–computer interaction in virtual environments.
Ji Xi +5 more
doaj +1 more source
Inertial Sensor-Based Touch and Shake Metaphor for Expressive Control of 3D Virtual Avatars
In this paper, we present an inertial sensor-based touch and shake metaphor for expressive control of a 3D virtual avatar in a virtual environment. An intuitive six degrees-of-freedom wireless inertial motion sensor is used as a gesture and motion ...
Shashidhar Patil +3 more
doaj +1 more source

