Results 81 to 90 of about 874,187 (329)

A Neural Algorithm of Artistic Style

open access: yes, 2015
In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image.
Bethge, Matthias   +2 more
core   +1 more source

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

open access: yesAdvanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir   +8 more
wiley   +1 more source

Wearable Haptic Feedback Interfaces for Augmenting Human Touch

open access: yesAdvanced Functional Materials, EarlyView.
The wearable haptic feedback interfaces enhance user experience in gaming, social media, biomedical instrumentation, and robotics by generating tactile sensations. This review discusses and categorizes current haptic feedback interfaces into force, thermal, and electrotactile stimulation‐based haptic feedback interfaces, elucidating their current ...
Shubham Patel   +3 more
wiley   +1 more source

NEW TECHNIQUES APPLIED IN ECONOMICS. ARTIFICIAL NEURAL NETWORK [PDF]

open access: yes
The present paper has the objective to inform the public regarding the use of new techniques for the modeling, simulate and forecast of system from different field of activity.
Constantin Ilie, Margareta Udrescu
core  

Artificial Neural Network Pruning to Extract Knowledge

open access: yes, 2020
Artificial Neural Networks (NN) are widely used for solving complex problems from medical diagnostics to face recognition. Despite notable successes, the main disadvantages of NN are also well known: the risk of overfitting, lack of explainability ...
Mirkes, Evgeny M
core  

Influence of Layering and Curie Temperature Uncertainty on the Performance of Multilayer Active Magnetic Regenerators

open access: yesAdvanced Functional Materials, EarlyView.
This study examines how manufacturing uncertainties in Curie temperatures (1.5–2°C) affect multilayer active magnetic regenerators (AMR). While increasing the number of magnetocaloric layers boosts cooling power, performance degrades due to temperature variations.
Urban Tomc   +6 more
wiley   +1 more source

Synchrotron Radiation for Quantum Technology

open access: yesAdvanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader   +10 more
wiley   +1 more source

Practical Approach to Studying Evolutionary Methods for Setting Weight Coefficients of Artificial Neural Networks

open access: yesЦифровая трансформация
The article describes the problems of developing neurocontrollers for controlling dynamic objects, including the complexity of forming training data sets. It is indicated that one of the known methods for training an artificial neural network controlling
D. O. Petrov
doaj   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer   +10 more
wiley   +1 more source

Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage

open access: yesBrain Sciences
Background: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing ...
Yongqiang Zhang   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy