pixel), number of bands, and no data value. It is intended for use as a means of extracting these useful properties to use as the input values to other algorithms in a model - eg to allow to pass an ...

A machine learning algorithm that can predict the mechanical properties of metal–organic frameworks (MOFs) offers a way to overcome these highly varied and versatile materials’ achilles heel – their ...

The chessboard, an unassuming 8x8 grid, unfolds into a vast vector space of possible positions that defies comprehension. This immense complexity is illustrated by the number of unique legal chess ...

Researchers at the University of California San Diego’s Jacobs School of Engineering say they have developed an AI algorithm that predicts the structure and dynamic properties of any material – ...

Advanced inversion Multi-term approach utilizing multiple a priori constraints is proposed. The approach is used as a base for the first unified algorithm GRASP that is applicable to diverse remote ...

The quaternion linear canonical transform (QLCT) is defined in this paper, with proofs given for its reversibility property, its linear property, its odd-even invariant property and additivity ...

Abstract: Magnetic resonance poroelastography (MRPE) is introduced as an alternative to single-phase model-based elastographic reconstruction methods. A 3-D finite element poroelastic inversion ...

Our algorithm is a form of state machine replication [17,28]: the service is modeled as a state machine that is replicated across different nodes in a distributed system. The algorithm can be used to ...

Abstract: Search algorithms for Pareto optimization are designed to obtain multiple solutions, each offering a different trade-off of the problem objectives. To make the different solutions available ...

Housing tends to be a key part of household wealth, but despite its importance, it has been difficult to measure the value of a property. In a new article, researchers studied the impact of a popular ...