Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Evolutionary Algorithm: A class of computational methods inspired by natural selection that iteratively improve candidate solutions through mechanisms such as mutation, crossover, and selection.

A record ten early-stage TU/e researchers have been awarded a Veni grant from the Dutch Research Council (NWO). The NWO Veni ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

The “prophetic” quality lies in the ability to foresee truths that are later validated through rigorous proof or empirical observation ...

Learn about the challenges of using computational geometry algorithms and data structures in robotics, such as precision, efficiency, integration, and innovation.

Geometric algorithms rely on predicates, among them, the 2D and 3D orientation and incircle tests are important ones. Shewchuk's adaptive floating-point predicate is a well-known C implementation, ...

Quick response (QR) code is one of the most popular beacons for indoor positioning. Existing QR code-based algorithms typically require several QR codes for precise positioning, which may need intense ...

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An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, including the relevant legal issues and how to design algorithms to minimize ...

The efficiency of quantum computers, sensors and other applications often relies on the properties of electrons, including ...