Results 91 to 100 of about 59,115 (260)

In-Network Learning : Distributed Training and Inference in Communication Networks

open access: yes
In-Network Learning : formation distribuée et inférence dans les réseaux de communication Nous étudions le problème de l'apprentissage statistique distribué. Plus précisément, nous considérons le cadre d'apprentissage distribué et d'inférence.
openaire   +2 more sources

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

open access: yesAdvanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le   +4 more
wiley   +1 more source

Non‐Volatile Silicon Mach‐Zehnder Switches with 0.7 π Phase Shift Based on Graphene Heaters and Sb2Se3 Phase Change Material

open access: yesAdvanced Optical Materials, EarlyView.
ABSTRACT Photonic integrated circuits (PICs) can deliver unparalleled performance for future neuromorphic computing applications. Such neuromorphic PICs require a large number of tunable switches, which are typically realized with current‐controlled heaters, resulting in considerable energy consumption.
Jens Samland   +10 more
wiley   +1 more source

Application of Wireless Communication Technology in High-speed Train Network Control Systems

open access: yesChengshi guidao jiaotong yanjiu
[Objective] Wireless communication technology, known for its high flexibility and strong adaptability, can effectively address many issues associated with wired networks in the high-speed train operational environment.
WANG Huawei   +5 more
doaj   +1 more source

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

open access: yesAdvanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov   +2 more
wiley   +1 more source

Research and Application of Train Communication Network Based on Time-sensitive Networking

open access: yesChengshi guidao jiaotong yanjiu
Objective TCN (train communication networks) has complex topologies and requires high real-time transmission capabilities. Currently, train data transmission mainly relies on TRDP (train real-time data protocol) for carriage, while there are issues of ...
QI Yuling   +7 more
doaj   +1 more source

Circularly Polarized Red‐NIR Emission With High Dissymmetry Factor From Achiral [Mo6I8(OCOC2F5)6]2− Cluster Anion Embedded in a Bent‐Core Liquid Crystal Host

open access: yesAdvanced Optical Materials, EarlyView.
Associating a chiral bent core liquid crystal molecule, that self‐assembles into helical nanofilaments, with an achiral red‐NIR phosphorescent octahedral molybdenum cluster produces a hybrid material exhibiting efficient red‐NIR circularly polarized emission under UV excitation.
Jeanne Rebours   +6 more
wiley   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

open access: yesAdvanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa   +10 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

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