Results 101 to 110 of about 21,499 (265)

Analyzing Key Factors for Warehouse UAV Integration Through Complex Network Modeling

Logistics
Background: The integration of unmanned aerial vehicles (UAVs) into warehouse management is shaped by a broad spectrum of influencing factors, yet practical adoption lagged behind its potential due to scarce quantitative models of factor ...
Chommaphat Malang, Ratapol Wudhikarn
doaj   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
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, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Underemployment and Job Quality Among Young Australians: A Gendered Analysis Using the HILDA Survey (2009–2022)

Australian Journal of Social Issues, EarlyView.
ABSTRACT Over almost two decades, young people's employment opportunities have been significantly impacted by events like the Global Financial Crisis (2008–2009) and the COVID‐19 pandemic (2020‐). Thus, underemployment has become a more pervasive and persistent feature of young people's labour market experiences. This research focuses on three forms of
Brendan Churchill
wiley   +1 more source

Assessing the viability of genebanked seeds from rare, wild plants native to the United States using the D.E.A.D. paradigm

Applications in Plant Sciences, EarlyView.
Abstract Premise Genebanks must maintain viable seeds for decades. Seeds that germinate are clearly alive, but some seeds, often from wild populations, do not germinate because they are dormant, empty, aged, or damaged (D.E.A.D.). This work evaluates the effects of D.E.A.D.
Christina Walters, Lisa M. Hill, Katherine D. Heineman, Hannah M. Tetreault, Shaimaa Ibrahim, Katherine Markstein, Cheryl Birker, Kris Freitag, Dustin Wolkis, Michael Kunz, Sheila Murray, Nathaniel Kingsley, Alexandra Seglias, Nicholas Matsumoto, Thomas N. Kaye, Cheryl Peterson, Matthew A. Albrecht, Noah Dell, Stacy Anderson, Steve Blackwell, David Remucal, Wendy Gibble, Anita Tiller, Emily Coffey, Jason Ligon, Laurie Blackmore, Carrie Radcliffe, Heather E. Schneider, Kristen Nelson, David Sollenberger, Jessamine Finch, Kate Wellspring, Robert Jetton, Joyce Maschinski   +33 more
wiley   +1 more source

Performance of the Predicting Risk of Cardiovascular Disease Events Calculator in Rheumatoid Arthritis

Arthritis &Rheumatology, EarlyView.
Objective Evaluate performance of the Predicting Risk of Cardiovascular Disease Events (PREVENT) calculator in rheumatoid arthritis (RA). Methods Patients with RA were matched up to 10 controls on age, sex, and enrollment year using National Veterans Health Administration, Medicare, and National Death Index data (2006–2020).
Tate M. Johnson, Halie Frideres, Punyasha Roul, Joshua F. Baker, Brian C. Sauer, Grant W. Cannon, Isaac D. Smith, Gary A. Kunkel, Beth I. Wallace, Thomas R. Porter, Kaveh R. Bookani, Amarnath R. Annapureddy, Ted R. Mikuls, Bryant R. England   +13 more
wiley   +1 more source

Validation of International Classification of Diseases (ICD) code‐based case definitions of immune checkpoint inhibitor associated inflammatory arthritis from administrative health data

Arthritis &Rheumatology, Accepted Article.
Background Immune checkpoint inhibitors (ICIs) for cancer can lead to immune‐related adverse events, including ICI‐associated inflammatory arthritis (ICI‐IA). There are no validated International Classification of Diseases (ICD) code–based case definitions for ICI‐IA.
Manar Elsayed, Zoe Hsu, Finlay A. McAlister, William D. Leslie, Lisa M. Lix, Sasha Bernatsky, Suzanne N Morin, Michelle M Graham, Aurore Fifi‐Mah, Shahin Jamal, Janet Roberts, Carrie Ye   +11 more
wiley   +1 more source

Annotating aspects in text and image: A new task and dataset for multimodal aspect‐based sentiment analysis

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Aspect‐Based Sentiment Analysis (ABSA) has evolved from textual analysis to a multimodal paradigm, integrating visual information to capture nuanced sentiments. Despite advancements, existing Multimodal ABSA (MABSA) research remains limited in granularity, which focuses on either coarse‐level categories or named entities, neglecting fine ...
Li Yang, Jia Yang, Jin‐Cheon Na, Jianfei Yu   +3 more
wiley   +1 more source

The impact of a preprescribing formative assessment on learning in final‐year medical students using hospital inpatient electronic prescribing systems

British Journal of Clinical Pharmacology, EarlyView.
Aims Graduating medical students consistently report being unprepared for the complexity of prescribing in clinical practice. Current clinical prescribing teaching and authentic assessment are limited due to patient safety concerns. We aimed to examine the educational utility of supervised preprescribing as a learning process and potential authentic ...
Kellie A. Charles, Lorna Pairman, Emily Moon, Daniel Wong, John Quayle, Tim J. Wilkinson, Matthew Doogue, Paul Chin   +7 more
wiley   +1 more source