Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...

Abstract: This article presents a discussion on data selection for deep learning in the field of seismic interpretation. To enable robust generalization, the training set must contain informative ...

This article adopts a constructivist grounded theory approach based on the principle of intersubjective relations and the co-construction of interpretations. Reflecting on the author's experiences as ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

AI optimizes chromatography by enhancing method development, peak detection, and data interpretation, leveraging large datasets for improved accuracy and efficiency. ML models surpass traditional ...

Late-Breaking Data Presented at Society of NeuroInterventional Surgery Annual Meeting Demonstrate Excellent Reperfusion Results and Unparalleled Safety with the Zoom System for Ischemic Stroke ...

Analyst TXMCtrades criticizes the use of global M2 money supply data for predicting Bitcoin prices, calling it mathematically unsound. He argues that inconsistencies in M2 data updates lead to ...

1 Department of Medical Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuzhou, China 2 Department of Radiation Oncology, Fujian Cancer Hospital, Clinical ...

As we step into 2025, it’s time to take a measured and analytical approach to what the year might hold for Bitcoin. Taking into account on-chain, market cycle, macroeconomic data, and more for ...