Results 241 to 250 of about 529,890 (286)
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
ABSTRACT Griscelli Syndrome Type 2 (GS2) is a rare autosomal recessive disorder caused by pathogenic mutations in the RAB27A gene. Typically, it is characterized by cutaneous hypopigmentation, immunodeficiency, with or without neurological abnormalities secondary to hemophagocytic lymphohistiocytosis (HLH). Without treatment, GS2 often results in fatal
Dzhoy Papingi +6 more
wiley +1 more source
ABSTRACT The ciliopathies are a group of genetic disorders caused by defective function of either the primary cilia (a large number) or the motile cilia (a much smaller number). These have been defined as diseases with mutations in genes encoding individual ciliary or cilia‐associated proteins.
Robert P. Erickson +1 more
wiley +1 more source
Construction of pathogenic Sec16a mutation mouse model using CRISPR/Cas9
Yaqiang Hu et al. engineered a pathogenic Sec16a mutant mouse model using CRISPR/Cas9 technology. They observed that the Sec16a mutant mice displayed diminished learning and memory capabilities, along with a limb‐clasping phenotype upon tail suspension.
Yaqiang Hu +6 more
wiley +1 more source
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2011
To detect and classify objects contained in real images, acquired in unconstrained environments, is a challenging problem in computer vision, which complexity makes unfeasible the design of handcrafted solutions. In this chapter, the object detection problem is introduced, highlighting the main issues and challenges, and providing a basic introduction ...
Sergio Escalera +4 more
openaire +1 more source
To detect and classify objects contained in real images, acquired in unconstrained environments, is a challenging problem in computer vision, which complexity makes unfeasible the design of handcrafted solutions. In this chapter, the object detection problem is introduced, highlighting the main issues and challenges, and providing a basic introduction ...
Sergio Escalera +4 more
openaire +1 more source
2017
Object detection is one of the hard problems in computer vision. It gets even harder in time demanding tasks such as ADAS. In this chapter, we explained a convolutional neural network that is able to analyze high-resolution images in real time and it accurately finds traffic signs.
Hamed Habibi Aghdam, Elnaz Jahani Heravi
openaire +1 more source
Object detection is one of the hard problems in computer vision. It gets even harder in time demanding tasks such as ADAS. In this chapter, we explained a convolutional neural network that is able to analyze high-resolution images in real time and it accurately finds traffic signs.
Hamed Habibi Aghdam, Elnaz Jahani Heravi
openaire +1 more source
2011
Since the initials of Artificial Intelligence, many learning techniques have been proposed to deal with many artificial systems. The initial learning designs were proposed to deal with just two classes. Which option is the best one given two previous possibilities?
Sergio Escalera +4 more
openaire +1 more source
Since the initials of Artificial Intelligence, many learning techniques have been proposed to deal with many artificial systems. The initial learning designs were proposed to deal with just two classes. Which option is the best one given two previous possibilities?
Sergio Escalera +4 more
openaire +1 more source

