Results 111 to 120 of about 24,115,596 (260)
Automatic Segmentation of Spontaneous Data using Dimensional Labels from Multiple Coder [PDF]
, 2010 This paper focus on automatic of spontaneous data using continuous dimensional labels from multiple coders. It introduces efficient algorithms to the aim of (i) producing ground-truth by maximizing inter-coder agreement, (ii) eliciting the frames or ...
Pantic, M, Gunes, H, Mihalis, NA
core
A multimodal social semiotic approach to jewellery design pedagogy [PDF]
, 2012 Includes abstract.Includes bibliographical references.This thesis presents a multimodal social semiotic theoretical framework to explore jewellery design pedagogy.
Salaam, Safia
core +1 more source
Remote SensingRemote sensing foundation models (RSFMs) have demonstrated excellent feature extraction and reasoning capabilities under the self-supervised learning paradigm of “unlabeled datasets—model pre-training—downstream tasks”.
Guoqing Zhou, Lihuang Qian, Paolo Gamba
doaj +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
As literacy curricula around the world expand to include multimodal meaning-making, the challenge that remains is how teachers can design engaging and effective learning experiences in this context and the nature of their guidance to students in ...
Lim, Fei Victor, Unsworth, Len
core +1 more source
Machine Learning Models for Indoor Positioning Using Bluetooth RSSI and Video Data: A Case Study
SensorsIndoor Positioning Systems (IPSs) are essential for applications requiring accurate location awareness in indoor environments. However, achieving high precision remains challenging due to signal interference and environmental variability.
Tomás Mamede +3 more
doaj +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Advanced Engineering Materials, EarlyView.Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
The Multimodal Tutor: Adaptive Feedback from Multimodal Experiences [PDF]
, 2020 This doctoral thesis describes the journey of ideation, prototyping and empirical testing of the Multimodal Tutor, a system designed for providing digital feedback that supports psychomotor skills acquisition using learning and multimodal data capturing.
Di Mitri, D.
core +1 more source
Remote SensingAccurate estimation of winter wheat yield is essential for ensuring food security. Recent studies on winter wheat yield estimation based on deep learning methods rarely explore the interpretability of the model from the perspective of crop growth ...
Xiangquan Zeng +7 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang +7 more
wiley +1 more source