Results 171 to 180 of about 13,735 (297)

Matching aggregate posteriors in the variational autoencoder [PDF]

The variational autoencoder (VAE) is a well-studied, deep, latent-variable model (DLVM) that efficiently optimizes the variational lower bound of the log marginal data likelihood and has a strong theoretical foundation.
Whitaker, Ross, Joshi, Sarang, Saha, Surojit   +2 more
core   +1 more source

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source

Ultralow‐Power Floating‐Gate InGaZnO Content‐Addressable Memory for Wearable Electrocardiogram Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This study introduces a subthreshold in‐memory anomaly detection architecture for wearable ECG monitoring using floating‐gate IGZO content‐addressable memories on a flexible substrate. Area‐engineered coupling provides a high subthreshold slope, while subthreshold operation realizes intrinsic exponential distance evaluation and linear voltage sensing ...
Hyung‐Jun Noh, Sunyeol Bae, Yumin Yun, Junhyeong Park, Soo‐Yeon Lee   +4 more
wiley   +1 more source

Nanostructured Deep Eutectic Systems in Healthcare: From Bioactive Solvents to Intelligent Biointerfaces, Wearables, and AI‐Driven Design

Advanced NanoBiomed Research, EarlyView.
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley   +1 more source

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source

Discreate Variational Graph Autoencoder-# untuk Klasifikasi Citra Digit [PDF]

Graph neural networks (GNN) mulai banyak dikembangkan dikarenakan kemampuannya dalam mengekstraksi fitur yang lebih representatif dibandingkan neural networks (NNs) pada umumnya.
Amaanullah, Fairuuz Nurdiaz
core   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source

Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics

Carbon Energy, EarlyView.
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang, Wenhan Yang, Annan Zhu, Yuexin Lin, Zhaohui Xie, Ran Chen, Wenjing Zhu, Jin Liu, Yingjie Zhu, Wenye Jiang, Zhiyuan Gu, Kaiyang Wang, Shengchun Yang, Nan Zhang, Chao Liang   +14 more
wiley   +1 more source

Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder [PDF]

Autonomous driving presents a complex challenge, which is usually addressed with artificial intelligence models that are end-to-end or modular in nature.
Herlin, Simon, Chareyre, Patrick, Amini, Alexander, Maras, Mirjana, Hasani, Ramin, Bairouk, Anass, Blanchon, Marc, Rus, Daniela   +7 more
core   +1 more source

The Empirical Bayes Variational Autoencoder-A Neural ODE Approach for Population Modeling in Pharmacology. [PDF]

CPT Pharmacometrics Syst Pharmacol
Baaz M, Sjöberg A, Jirstrand M.
europepmc   +1 more source