Results 151 to 160 of about 143,911 (316)

Exploring rhizobial diversity in tara (Caesalpinia spinosa) by trapping with pea (Pisum sativum)

Scientia Agropecuaria
Tara (Caesalpinia spinosa) is an emblematic legume tree of Peruvian dry forests and is a multi-purpose tree for tannins and gum, in particular. Despite its importance, the microbiological aspects associated with tara are not currently considered in ...
S. Sangay-Tucto, C. Le Roux, D. Zúñiga-Dávila, R. Duponnois   +3 more
doaj   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

LSTM-based distributed conditional generative adversarial network for data-driven 5G-enabled maritime UAV communications

, 2023
5G enabled maritime unmanned aerial vehicle (UAV) communication is one of the important applications of 5G wireless network which requires minimum latency and higher reliability to support mission-critical applications.
Muhammad Asif (466310), Iftikhar Rasheed (11909380), Asim Ihsan (22138465), Wali Ullah Khan (23584119), Manzoor Ahmed (666129), Khaled M Rabie (24021969)   +5 more
core  

phi-LSTM: A Phrase-Based Hierarchical LSTM Model for Image Captioning

, 2017
This paper introduces phrase-based image captioning. Accepted in ACCV2016 (extended version, 21 pages, 12 figures)
Ying Hua Tan, Chee Seng Chan
openaire   +3 more sources

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Experiences of stigma and violence among persons affected by skin neglected tropical diseases (NTDs): longitudinal analysis from an integrated intervention in Liberia

International Journal for Equity in Health
Background Persons affected by skin neglected tropical diseases (skin NTDs) commonly face stigma and violence, which perpetuates social exclusion, mental health issues, poverty and impedes health-seeking behaviour.
India Hotopf, Shahreen Chowdhury, Hannah Berrian, Wede Seekey, Jerry Kollie, Colleen Parker, Zeela Zaizay, Emerson Rogers, Georgina V. K. Zawolo, John Solunta Smith Jr, Karsor Kollie, Tiawanlyn Godwin-Akpan, Emmanuel Zaizay, Sally Theobald, Laura Dean, Rosalind McCollum   +15 more
doaj   +1 more source