Results 121 to 130 of about 7,124,551 (244)
Microbial communities and functional diversity in seafood
JSFA reports, EarlyView.Abstract Functional diversity encompasses ecosystem processes that enhance adaptability to environmental change. This study explores the diversity of microorganisms associated with seafood. In this paper, we present our knowledge of microbial diversity in relation to seafood.
Christian Larbi Ayisi +3 more
wiley +1 more source
Greater future range expansions in alien than native ant species
Oikos, EarlyView.There is growing concern that many species may not be able to track suitable conditions under climate change and suffer range contractions as a result. At the same time, alien species introduced to novel geographic ranges are often assumed to benefit from climate change.
Tongyi Liu +2 more
wiley +1 more source
Position: topological deep learning is the new frontier for relational learning
Topological deep learning (TDL) is a rapidly evolving field that uses topological features to understand and design deep learning models. This paper posits that TDL is the new frontier for relational learning.
Nasrin, F +21 more
core
Learning Augmented Optimization: Faster, Better and Guaranteed
, 2019 Presented on November 20, 2019 at 12:15 p.m. in the Marcus Nanotechnology Building, Room 1116.Zhangyang (Atlas) Wang is an Assistant Professor of Computer Science and Engineering at Texas A&M University. Dr.
Wang, Zhangyang
core
Digital surveillance of animals and nature recovery
People and Nature, EarlyView.Abstract Digital surveillance technologies (DSTs) are widely applied in nature recovery for their potential to generate novel data on species and ecosystems through digital tracking, automation (e.g. from hazardous locations) and from newly recruited citizen scientists.
William M. Adams
wiley +1 more source
Active Learning: From Linear Classifiers to Overparameterized Neural Networks
, 2020 Presented online on October 7, 2020 at 12:15 p.m.Robert Nowak holds the Nosbusch Professorship in Engineering at the University of Wisconsin-Madison, where his research focuses on signal processing, machine learning, optimization, and statistics.Runtime:
Nowak, Robert
core
Pediatric Investigation, EarlyView.Pediatric nasal skull base tumors present diagnostic and therapeutic challenges due to their deep location, nonspecific symptoms, and the narrow nasal cavity in children. Although artificial intelligence (AI) and digital medicine have advanced early diagnosis, multidisciplinary treatment, and prognosis, their application in these rare tumors remains ...
Xiuping Wu +5 more
wiley +1 more source
Gaussian Processes with Bayesian Inference of Covariate Couplings
Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.Gaussian processes are powerful probabilistic models that are often coupled with Automatic Relevance Determination (ard) capable of uncovering the importance of ...
Rosso, Mattia +4 more
core
Dumpsite Seabed Characterization of the San Pedro Basin, CA, From Autonomous Vehicle Observations
Journal of Field Robotics, EarlyView.ABSTRACT A wide‐area seabed survey was conducted using autonomous underwater vehicles (AUVs) in a known dumpsite off the coast of Southern California that has been found to have widespread sediment contamination from the chemical dichlorodiphenyltrichloroethane (DDT).
Ryan A. McCarthy +4 more
wiley +1 more source
Robotics for Crop Pollination: Recent Advances and Future Direction
Journal of Field Robotics, EarlyView.ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota +3 more
wiley +1 more source