Results 111 to 120 of about 6,914,944 (265)
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Randomly wired neural networks (RWNNs) serve as a valuable testbed for investigating the impact of network topology in deep learning by capturing how different connectivity patterns impact both learning efficiency and model performance. At the same time,
Pavithra Elumalai +3 more
doaj +1 more source
A leaf phenomics approach for estimating belowground traits in North American licorice
Abstract Premise Selective breeding over thousands of years has prioritized aboveground yield, with little regard for changes belowground. Roots underpin plant growth and resilience, but our knowledge of these critical structures lags behind that of aboveground structures.
Zachary N. Harris +5 more
wiley +1 more source
Genetic Diversity, Adaptation, Wild Introgression, and Coat Color Mutation of Golden Yak
Genetic diversity, adaptation, wild introgression, and coat color mutation of golden yak from two populations on the Qinghai‐Xizang Plateau. ABSTRACT The golden yak lives on the Qinghai‐Xizang Plateau with a golden coat and adapts to high altitudes and strong ultraviolet environment. The golden coat is a prominent phenotype in many domesticated species,
Huixuan Yan +15 more
wiley +1 more source
ABSTRACT The etiopathogenesis of Autism Spectrum Disorder (ASD) encompasses complex interactions between genetic and environmental risk factors. The high prevalence of gastrointestinal disorders in autistic individuals has propelled a growing interest in the possible involvement of gut dysbiosis in ASD pathogenesis.
Laura Sandoni +6 more
wiley +1 more source
Abstract This study presents a novel bioeconomy optimization framework, BiOpt, designed to address critical questions regarding the strategic use of limited US biomass resources for biofuel production. By integrating detailed techno‐economic analyses, life cycle assessments, and resource assessment data, BiOpt optimizes resource distributions across ...
Nicholas A. Carlson +3 more
wiley +1 more source
Abstract Aim Besides registries, healthcare databases can provide useful information for assessing the frequency of major congenital malformations (MCMs) and investigating their risk factors, particularly medication exposures. This study aimed to assess the validity of MCMs identification based on French national, comprehensive healthcare databases ...
Tom Duchemin +7 more
wiley +1 more source
Entropy-Guided Search Space Optimization for Efficient Neural Network Pruning
Neural network pruning is essential for deploying deep learning models on resource-constrained devices by reducing computational and memory demands.
Yicheng Qiu +4 more
doaj +1 more source
Corporate Decarbonization via Technology and Management
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran +2 more
wiley +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source

