Results 111 to 120 of about 25,809 (168)
Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience
Advanced Intelligent Systems, EarlyView.An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and camera module, samples and data are prepared with minimal human intervention.
Mark A. DeAngelis +2 more
wiley +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
Advanced Intelligent Systems, EarlyView.This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Advanced Intelligent Systems, EarlyView.Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
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openalex +1 more source
A Population‐Based Assessment of Cancer Risk in Children With VACTERL
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Cancer risk in children with VACTERL, a nonrandom co‐occurrence of ≥ 3 defects (vertebral, anal, cardiac, tracheoesophogeal fistula, renal, and limb), remains unclear. We evaluated this association in a population‐based study. We analyzed data from the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Study, a US registry linkage ...
Ji Yun Tark +15 more
wiley +1 more source
Annals of Neurology, EarlyView.Objective Sporadic late‐onset Alzheimer's disease (AD) is characterized by a long pre‐clinical phase where amyloid‐beta (Aβ) and tau begin to accumulate in the brain. The primary objective was to determine the age at which AD starts by finding the average population age when both positron emission tomography (PET) Aβ (Aβ‐PET) and plasma Aβ42/40 become ...
Rodrigo Cánovas +29 more
wiley +1 more source
Tau Pathology in Alzheimer's Disease Uniquely Affects Sulcal Depths
Annals of Neurology, EarlyView.Objective Though it is widely known that tau deposition affects brain structure, the precise localization of these effects is poorly understood, especially in relation to gyral and sulcal anatomy. We investigated whether tau pathology in Alzheimer's disease (AD) preferentially affects sulci, and particularly sulcal depths.
Samira A. Maboudian +10 more
wiley +1 more source