Results 61 to 70 of about 6,580,146 (248)

Monolithic 3D‐Integrated All‐Solid Ion‐Gated Carbon Nanotube Transistors With Tunable Ionic Conductance for Multi‐Timescale Reservoir Computing

open access: yesAdvanced Materials, EarlyView.
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung   +9 more
wiley   +1 more source

Macroeconomic-aware forecasting of construction costs in developing countries: Using gated recurrent unit and long short-term memory deep learning framework.

open access: yesPLoS ONE
Cost overruns are common on long-term construction projects. This is mostly because of inaccurate early estimates and unexpected changes in the economy and finances.
Majed Alzara   +5 more
doaj   +1 more source

Mean Absolute Percentage Error for Regression Models

open access: yes, 2020
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We prove the existence of an optimal MAPE model and we show the universal consistency of Empirical Risk Minimization
Bénédicte Le Grand   +3 more
core  

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

open access: yesAdvanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko   +2 more
wiley   +1 more source

Bridge Dynamic Strain Prediction Based on Stacked GRU Neural Network [PDF]

open access: yesJisuanji gongcheng
As important infrastructures, bridges may face considerable safety hazards due to the long-term influence of the natural environment and daily loads. Therefore, the health status of bridge structures must be monitored and predicted in real time.
LIU Xiaoyu, LIAO Zhifang, TAN Sui, YU Zhiwu
doaj   +1 more source

Resolving Nanoscale Heterogeneities in Lead Halide Perovskites Through Low‐Dose Concurrent 4D‐STEM‐EDX Mapping

open access: yesAdvanced Materials, EarlyView.
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu   +6 more
wiley   +1 more source

Confinement‐Induced Donnan Potential Enables Sealed Hydrovoltaic Power From Microliter Water

open access: yesAdvanced Materials, EarlyView.
An ultrathin MXene/cellulose nanofiber (CNF) nanochannel‐based hydrovoltaic generator produces sustained direct current (DC) from a single microliter droplet under sealed operation. Asymmetric nanochannel confinement establishes a persistent ion gradient and a confinement‐induced Donnan potential, harvesting the interfacial free energy released upon ...
Sangyun Na   +10 more
wiley   +1 more source

Performance of Holt-Winters exponential smoothing method in forecasting Indonesian inflation levels

open access: yesMajalah Ilmiah Matematika dan Statistika
Forecasting inflation data is an important part of economic decision making. Periodic updates are needed considering changes in external factors that affect the inflation rate.
Agista Marshanda, Harmi Sugiarti
doaj   +1 more source

Forecasting fashion retail sales in Brazil: a case study before, during and after COVID-19 [PDF]

open access: yesREGE Revista de Gestão
PurposeThis study analyzes the sales behavior of a Brazilian fashion retailer before, during, and after the COVID-19 pandemic, aiming to generate short-term forecasts using machine learning models.
André Garcia Padilha   +2 more
doaj   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

open access: yesAdvanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei   +11 more
wiley   +1 more source

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