Results 41 to 50 of about 3,626 (230)
Supervised Learning of Protein Melting Temperature: Cross‐Species vs. Species‐Specific Prediction
ABSTRACT Protein melting temperatures are important proxies for stability, and frequently probed in protein engineering campaigns, for instance for enzyme discovery and protein optimization. With the emergence of large datasets of melting temperatures for diverse natural proteins, it has become possible to train models to predict this quantity, and the
Sebastián García López +2 more
wiley +1 more source
Q‐fid: Quantum Circuit Fidelity Improvement with LSTM Networks
Q‐fid is introduced, an LSTM‐based fidelity prediction system accompanied by a novel metric designed to quantify the fidelity of quantum circuits. This approach frames fidelity prediction as a Time Series Forecasting problem to analyze the tokenized circuits, capturing the causal dependence of the gate sequences and their impact on overall fidelity ...
Yikai Mao +2 more
wiley +1 more source
GAN Decoder on a Quantum Toric Code for Noise‐Robust Quantum Teleportation
This study proposes a novel quantum topological code decoder using generative adversarial networks (GANs). By training the GAN with eigenvalue datasets, an enhanced decoding threshold and robust quantum teleportation under depolarizing noise are achieved.
Jiaxin Li +4 more
wiley +1 more source
ABSTRACT Vision‐based deep learning models have been widely adopted in autonomous agents, such as unmanned aerial vehicles (UAVs), particularly in reactive control policies that serve as a key component of navigation systems. These policies enable agents to respond instantaneously to dynamic environments without relying on pre‐existing maps.
Yingxiu Chang +4 more
wiley +1 more source
Herein, a generative diffusion artificial intelligence (AI) model, REMind, , is generated, which enhances energy material characterization by reconstructing high‐resolution electrode microstructures from low‐resolution slices. It enables faster, high‐fidelity imaging by allowing larger milling thickness in focused ion beam‐scanning electron microscopy.
Zhiqiang Niu +7 more
wiley +1 more source
This work introduces a multiplexed imaging platform that integrates nanoplasmonic sensing with fluorescence microscopy for concomitant monitoring of extraspheroid secretions and intraspheroid features over extended periods with spatiotemporal resolution.
Saeid Ansaryan +7 more
wiley +1 more source
Area and Energy Efficient QCA Based Compact Serial Concatenated Convolutional Code Encoder
B. S. Premananda +2 more
openalex +1 more source
A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 With New Scoring and Data Sources
ABSTRACT Background Intrusion Tolerant Systems (ITS) aim to maintain system security despite adversarial presence by limiting the impact of successful attacks. Current ITS risk managers rely heavily on public databases like NVD and Exploit DB, which suffer from long delays in vulnerability evaluation, reducing system responsiveness. Objective This work
Tadeu Freitas +6 more
wiley +1 more source
Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou +3 more
wiley +1 more source
CRC-Aided Adaptive BP Decoding of PAC Codes. [PDF]
Zhang X, Jiang M, Zhu M, Liu K, Zhao C.
europepmc +1 more source

