Results 31 to 40 of about 120,659,477 (285)
A biologically-inspired approach to designing wireless sensor networks [PDF]
In this paper, we contend that there are significant advantages in treating some classes of sensor networks as biological-like systems-- both in structural design characteristics and in operational processes.
Haddadi, H. +3 more
core +1 more source
Conventional sensing systems rely on sequential architectures in which signal acquisition, processing, and decision-making are physically and functionally separated.
Ashutosh Tiwari +2 more
doaj +1 more source
Sensor sharpening for computational color constancy [PDF]
Sensor sharpening [J. Opt. Soc. Am. A 11, 1553 (1994)] has been proposed as a method for improving computational color constancy, but it has not been thoroughly tested in practice with existing color constancy algorithms. In this paper we study sensor sharpening in the context of viable color constancy processing, both theoretically and empirically ...
K, Barnard, F, Ciurea, B, Funt
openaire +2 more sources
In the post-Moore’s Law era, conventional Von Neumann architectures face critical limitations, such as the “memory wall” and excessive power consumption, particularly when processing unstructured data. Neuromorphic computing, inspired by the human brain,
Yifeng Fu, Jianguang Xu
doaj +1 more source
In wireless sensor network-based water pipeline monitoring (WWPM) systems, a vital requirement emerges: the achievement of low energy consumption. This primary goal arises from the fundamental necessity to ensure the sustained operability of sensor nodes
Valery Nkemeni +2 more
doaj +1 more source
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source
Nano device fabrication for in-memory and in-sensor reservoir computing
Recurrent neural networks (RNNs) have proven to be indispensable for processing sequential and temporal data, with extensive applications in language modeling, text generation, machine translation, and time-series forecasting.
Yinan Lin +6 more
doaj +1 more source
Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
Wearable sensors with edge computing are desired for human motion monitoring. Here, the authors demonstrate a topographic design for wearable MXene sensor modules with wireless streaming or in-sensor computing models for avatar reconstruction.
Haitao Yang +15 more
doaj +1 more source
As one of the latest revolutions in networking technology, social networks allow users to keep connected and exchange information. Driven by the rapid wireless technology development and diffusion of mobile devices, social networks experienced a ...
Yu Zhao +4 more
doaj +1 more source

