Results 121 to 130 of about 18,937 (288)
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Mobility prediction via markov model in LTE femtocell [PDF]
Seamless handover is one of the main goals in Long Term Evolution (LTE). In order to achieve a seamless handover, the handover latency needs to be reduced.
Syed Ariffin, Sharifah Hafizah +3 more
core
Thiolated Polymers in 3D Bioprinting: Control of Gelation
Thiolated polymers are established as programmable bioinks for 3D bioprinting, integrating versatile crosslinking chemistries with redox‐responsive control. This work demonstrates how molecular design and external triggers define gelation kinetics, printability windows, and structural fidelity, enabling stable, high‐resolution constructs and advancing ...
Soheil Haddadzadegan +2 more
wiley +1 more source
Conformal Prediction in Python with crepes
crepes is a Python package for conformal prediction, which has been extended in several ways since its introduction. While the original version of the package focused on conformal regressors and predictive systems, the current version also includes ...
Boström, Henrik,
core
The benefit of seamless forecasts for hydrological predictions over Europe
. Two different systems provide long range forecasts at ECMWF. On the sub-seasonal time scale, ECMWF issues an extended-range ensemble prediction system (ENS-ER) which runs a 46-day forecast integration issued twice weekly.
Fredrik Wetterhall +1 more
core +1 more source
Additive Manufacturing of Ordered Polymer Nanostructures
A new 3D printing strategy, Polymerization‐Induced Arrangement of Nanostructures with Order‐tunability (PIANO), enables the formation of ordered nanostructures in polymer materials by enhancing chain mobility during photopolymerization, overcoming the kinetic arrest that leads to disordered morphologies in the conventional Polymerization‐Induced ...
Di Wu +6 more
wiley +1 more source
Predicting delays in metro and tram services is a complex task that requires advanced approaches, such as powerful machine learning tools. This study addresses this topic by applying the XGBoost and Bayesian Optimization (BO) algorithms, which offer a ...
Sondoss Chtioui +6 more
doaj +1 more source
Selective methanol sensors are achieved by coating carbon nanotube chemiresistors with two dimensional conductive metal–organic frameworks that incorporate intra‐pore clusters. These confined clusters increase the density of adsorption sites while restricting the transport of larger interfering molecules, particularly ethanol. This sensing architecture
Young‐Moo Jo +4 more
wiley +1 more source
Double‐Transition‐Metal MXenes: Multimetallic 2D Platforms for Next‐Generation Biomedicine
The present work explores recent progress in double‐transition‐metal MXenes and focuses on their potential as multifunctional biomedical nanoplatforms whose tunable optical, electronic, mechanical, and surface properties enable imaging, theranostics, antimicrobial activity, biosensing, tissue engineering, and drug delivery.
Parsa Namakiaraghi +2 more
wiley +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source

