Results 101 to 110 of about 2,652,848 (287)
DETECTION OF UNKNOWN SIGNALS IN COGNITIVE RADIO NETWORKS
Background. At this stage of the development of wireless technologies, there is a rapid growth in the volume of information services, as well as the speed of information transfer. To meet these needs, additional frequency bands should be used.
Valeriy Bezruk, Stanislav Ivanenko
doaj +1 more source
Toward Mechanical Intelligence in Robotics
Robots can use their physical bodies to perform functions usually assigned to electronic sensors and controllers. This perspective defines mechanical intelligence through three core operations: filtering inputs, routing mechanical signals, and switching between states.
Xinyi Yang +5 more
wiley +1 more source
As the communication distance changes, the received signal strength of an underwater optical communication system will change, and the range of its variation may not only exceed the dynamic range of the photoelectric detection device but also cause the ...
Yu Chen, Hongbing Qiu, Yanlong Li
doaj +1 more source
Flexible surgical robots are advancing minimally invasive interventions for cardiovascular diseases and cancer by enabling precise navigation through complex, submillimeter anatomical pathways. This review highlights recent innovations in actuation, bio‐integrated sensing, AI‐assisted control, and friction‐reduction technologies, discusses current ...
Hermione Truong +14 more
wiley +1 more source
Fully Distributed Cooperative Spectrum Sensing for Cognitive Radio Networks [PDF]
Cognitive radio networks (CRN) sense spectrum occupancy and manage themselves to operate in unused bands without disturbing licensed users. The detection capability of a radio system can be enhanced if the sensing process is performed jointly by a group ...
Rifà Pous, Helena +2 more
core
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang +7 more
wiley +1 more source
Combined Data Augmentation on EANN to Identify Indoor Anomalous Sound Event
Indoor abnormal sound event identification refers to the automatic detection and recognition of abnormal sounds in an indoor environment using computer auditory technology.
Xiyu Song +4 more
doaj +1 more source
. ABSTRACT Neuroinflammation driven by microglial activation is a defining feature of Alzheimer's disease (AD), yet the molecular mechanisms sustaining this proinflammatory state remain unclear. Here, we identify the deubiquitinase OTUD7B as a critical regulator of microglial activation and AD pathology.
Luyao Li +15 more
wiley +1 more source
A model of individual cognitive degradation based on the formalism of quantum potential wells
To develop a model of individual cognitive degradation based on the mathematical apparatus of quantum mechanics from the perspective of the Information Images Theory. The foundations of the Information Images Theory are described.
Alexander Yurievich Petukhov +2 more
doaj +1 more source

