Artificial Intelligence (AI) has shown strong potential in supporting clinical decision-making through Clinical Decision Support Systems (CDSSs). However, ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, ...

Google DeepMind's AlphaEvolve uses Gemini to evolve new game theory algorithms that rival or beat human-designed methods, ...

To address the issues of feature mismatching and map overlap drift in simultaneous localization and mapping (SLAM) within degraded environments characterized by sparse geometric features or severe ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...

Abstract: This paper introduces a novel adaptive framework for processing dynamic flow signals over simplicial complexes, extending classical least-mean-squares (LMS) methods to high-order topological ...

Abstract: To address the challenges of low sampling efficiency in obstructed environments, high fingerprint database construction costs, and insufficient positioning accuracy in indoor visible light ...

A collaboration between scientists at Imperial College London and Swiss data analytics developer DataHow has created a new software function now available for Design of Experiment (DoE) for upstream ...

Advances in plant imaging and computer vision have transformed agriculture and biology by enabling continuous and objective trait quantification. However, monitoring large plant populations or ...