Results 121 to 130 of about 662,370 (318)
Scalable spatiotemporal prediction with Bayesian neural fields
Spatiotemporal datasets, which consist of spatially-referenced time series, are ubiquitous in diverse applications, such as air pollution monitoring, disease tracking, and cloud-demand forecasting.
Feras Saad +6 more
doaj +1 more source
Google lawyer on Google Library
Alistair Coleman reports in BBC news on a speech by Alexander Macgillivray at the Oxford Internet Institute. Macgillivray is Google's senior product counsel.
openaire +1 more source
Únase a Google y disfrute de sus beneficios
Descubra cómo lograr que su negocio, sus productos y sus servicios aparezcan en Google y así poder conectar con clientes potenciales.
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Temperature‐Tunable Cholesteric Liquid Crystal Optical Combiners for Extended Reality Applications
Recent advancements in extended reality highlight their potential to enhance traditional displays like liquid crystal displays and organic light‐emitting diode screens. This article introduces an innovative cholesteric liquid crystal‐based optical combiner for head‐mounted displays, enabling seamless transitions between augmented reality, virtual ...
Yuanjie Xia +6 more
wiley +1 more source
Machine learning (ML) methods enable prediction of the properties of chemical structures without computationally expensive ab initio calculations. The quality of such predictions depends on the reference data that was used to train the model.
Stefan Ganscha +5 more
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
In pandemic mitigation, strategies such as social distancing and mask-wearing are vital to prevent disease resurgence. Yet, monitoring adherence is challenging, as individuals might be reluctant to share behavioral data with public health authorities. To
Benjamin Rader +12 more
doaj +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam +6 more
wiley +1 more source

