Results 71 to 80 of about 3,252,503 (312)

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

Advanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal, Amalesh Gope, Miho Yanagisawa   +2 more
wiley   +1 more source

Dataset for the article 'Reflecting on the quantitative turn in linguistics' (Linguistics 59.5)

, 2021
Bernd Kortmann
openalex   +2 more sources

Quantitative Approaches to Grammaticalization

Histoire Épistémologie Langage
Grammaticalization may entail a variety of non-essential mechanisms, such as schematization or lexicalization. What these processes have in common is a semantic expansion of the grammaticalizing form, translated empirically into a frequency increase ...
Quentin Feltgen
doaj   +1 more source

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

Advanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu, Zhaoqi Ma, Yunong Li, Junichiro Sugihara, Yicheng Chen, Jinjie Li, Moju Zhao   +6 more
wiley   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

Advanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin, Qian Li, Zhiwei Li, Xukai Zhai, Jinhui Gao   +4 more
wiley   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

Advanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta, Jonathan David Heaton Paul, Ingo Schmitt, Florian Pyczak   +3 more
wiley   +1 more source

Inter-call intervals, but not call durations, adhere to Menzerath’s Law in the submissive vocal bouts of meerkats

Royal Society Open Science
Diverse information encoding systems, including human language, the vocal and gestural systems of non-human animals and the structure of DNA and proteins, have been found to conform to ‘Menzerath’s Law’—a negative relationship between the number of units
Stuart Kyle Watson, Mara Zali, Nikola Falk, Paul Widmer, Marta B Manser   +4 more
doaj   +1 more source

Research on Metonymy of Cognitive Linguistics from Corpus Approach of Computer Science

MATEC Web of Conferences, 2018
The rapid development of computer technology and corpus linguistics has realized the large-scale corpus’s collection, arrangement, annotation and processing.
LUO Ruifeng
doaj   +1 more source

Educational leaders' reports of conditions for supporting SEL implementation: The power of partnerships

American Journal of Community Psychology, EarlyView.
Abstract Well‐implemented social and emotional learning (SEL) programs are associated with positive student outcomes. Through CalHOPE, County Office of Education (COE) leaders are providing implementation support to districts and schools seeking to improve SEL delivery statewide.
Ashley N. Metzger, Justin D. Caouette, Tiffany M. Jones, CalHOPE Research Committee, Valerie B. Shapiro   +4 more
wiley   +1 more source