Results 121 to 130 of about 23,115 (236)
Abstract Satellite‐based earth observation is a robust tool for tracking change in ecosystems. While terrestrially focused applications of remote sensing have empowered wide adoption for research and management, remote sensing of inland aquatic ecosystems remains comparably nascent.
Scott D. Ducar +9 more
wiley +1 more source
Toward Large Nonradiating Qubits: When Quantum Engineering Meets Photonics
Nonradiating superconducting qubits suppress radiative losses through photonic‐inspired mechanisms such as anapole states and bound states in the continuum (BICs). This review surveys theoretical foundations and recent implementations of large, wavelength‐scale qubits that confine electromagnetic energy while maintaining coherence.
Alexey Basharin
wiley +1 more source
Photonic Unitary Circuits for Quantum Information Processing
Unitary transformations are the cornerstone of quantum computing, enabling reversible manipulation of quantum states. This review evaluates photonic waveguide architectures as an evolving solution for quantum computing, exploiting the unique properties of photons. It investigates current theoretical frameworks, material platforms, and design strategies.
Kevin Zelaya +6 more
wiley +1 more source
KAUSTSat: Saudi Arabia's First Hyperspectral CubeSat Mission for Earth Observation
Abstract Developed by the King Abdullah University of Science and Technology (KAUST) to support research in atmospheric science and remote sensing, KAUSTSat represented Saudi Arabia's (and the Middle East's) first research‐focused hyperspectral CubeSat mission for Earth observation.
Victor Angulo +5 more
wiley +1 more source
This multi‐modal deep learning framework classifies brain tumours using multi‐backbone deep feature extraction and classifier‐level fusion from CT and MRI images. In extensive experiments, fused features from SqueezeNet, ResNet, and MobileNet combined with a neural network classifier outperform single‐modality and single‐model baselines and show that ...
N. Shyamala, S. Mahaboob Basha
wiley +1 more source
We developed CNN models using sinus rhythm ECG data from two institutions using distinct ECG systems. A fine‐tuned model trained on homogeneous datasets from cardiology departments consistently achieved high performance, whereas a model trained on heterogeneous datasets demonstrated lower performance.
Shinya Suzuki +17 more
wiley +1 more source
Abstract Adolescence is a critical developmental period with heightened stress susceptibility. Traumatic experiences during this phase are highly predictive of future affective disorders, such as social anxiety disorder (SAD), which may manifest during early adolescence.
Anna Bludau +3 more
wiley +1 more source
ABSTRACT Wave propagation effects such as resonance and interference effects complicate the design of many acoustic devices, particularly when the dimensions of the device are in the order of the operating wavelength. At the same time, these complications also offer an opportunity for numerical optimization schemes to outperform designs achieved using ...
Martin Berggren +4 more
wiley +1 more source
Lossless Microarray Image Compression by Hardware Array Compactor
Microarray technology is a new and powerful tool for concurrent monitoring of large number of genes expressions. Each microarray experiment produces hundreds of images. Each digital image requires a large storage space.
A. Banaei, S. Samavi, E. Nasr Esfahani
doaj

