Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...

AI startups funding in 2026 shifts toward infrastructure. Learn why data loops and scale are now the keys to securing capital ...

Recent advancements in systems biology have been propelled by the increasing power of omics technologies—spanning genomics, transcriptomics, proteomics, ...

By transforming everyday smartphone signals into high-resolution mobility data, researchers have reconstructed how residents of Cuenca travel across the city and what those patterns mean for energy ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Abstract: This article proposes two modulation schemes—binary polarized spatial modulation (BPSM) and permutation-based polarized spatial modulation (PPSM)—for multi-input multi-output systems ...

ABSTRACT: Internet philanthropy represents an effective model for the digital and decentralized transformation of traditional charitable practices. Having emerged earlier abroad, international ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

Daniel Romm receives funding from the Social Sciences and Humanities Research Council of Canada (SSHRC). McGill University provides funding as a member of The Conversation CA. McGill University ...