Results 11 to 20 of about 55,986 (262)

Generalization Capability of Mixture Estimation Model for Peristaltic Continuous Mixing Conveyor

IEEE Access, 2021
We propose herein a method for estimating the mixing state of the contents of a peristaltic continuous mixing conveyor simulating the intestine, developed for mixing and conveying powders and liquids.
Sana Oshino, Rie Nishihama, Kota Wakamatsu, Katsuma Inoue, Daisuke Matsui, Manabu Okui, Kohei Nakajima, Yasuo Kuniyoshi, Taro Nakamura   +8 more
doaj   +1 more source

Characterizing Learning Environments Capable of Nurturing Generic Capabilities in Higher Education [PDF]

Research in Higher Education, 2006
There has been wide recognition that today’s graduates need the type of generic capabilities necessary for lifelong learning. However, the mechanism by which universities can develop these generic skills is not clearly established. This study aimed to investigate the mechanism for their development. Structural equation modeling (SEM) was used to test a
Leung, DYP, Ma, RSF, Kember, D
openaire   +3 more sources

Chaos and complexity from quantum neural network. A study with diffusion metric in machine learning

Journal of High Energy Physics, 2021
In this work, our prime objective is to study the phenomena of quantum chaos and complexity in the machine learning dynamics of Quantum Neural Network (QNN).
Sayantan Choudhury, Ankan Dutta, Debisree Ray   +2 more
doaj   +1 more source

An alignment-capable microplanner for natural language generation [PDF]

Proceedings of the 12th European Workshop on Natural Language Generation - ENLG '09, 2009
Alignment of interlocutors is a well known psycholinguistic phenomenon of great relevance for dialogue systems in general and natural language generation in particular. In this paper, we present the alignment-capable microplanner SPUD prime. Using a priming-based model of interactive alignment, it is flexible enough to model the alignment behaviour of ...
Buschmeier, Hendrik, Bergmann, Kirsten, Kopp, Stefan   +2 more
openaire   +3 more sources

Multi-FusNet–convolutional neural network with improved Huber loss function for plant leaf disease detection and classification

Frontiers in Plant Science
BackgroundRecently, plant disease detection and classification have become major concerns in agriculture. Early detection of plant diseases supports farmers to take precautionary actions to prevent the spread of infections across different parts of the ...
B. S. Shruthi, B. S. Shruthi, M. S. Narasimha Murthy, Eman Abdullah Aldakheel, Doaa Sami Khafaga   +4 more
doaj   +1 more source

Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approach

IEEE Access
Recent advancements in deep learning methods have significantly improved the performance of 3D Human Pose Estimation (HPE). However, performance degradation caused by domain gaps between source and target domains remains a major challenge to ...
Hoosang Lee, Jeha Ryu
doaj   +1 more source

Prediction and Generalization Capability of Machine Learning Models for Shield TBM-Induced Settlement

Applied Sciences
Ground settlement induced by shield tunnel boring machine (TBM) excavation is a major geotechnical concern in urban tunneling because it may affect the safety of adjacent structures and underground infrastructure.
Ji-Seok Yun, Wan-Kyu Yoo, Gi-Jun Lee, Je-Kyum Lee, Young-Suk Song, Chang-Yong Kim, Han-Eol Kim   +6 more
doaj   +1 more source

The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo, Miriam A. Bornhorst, Angela J. Waanders, Sara Zarnegar‐Lumley, Ashwin Lakshman Koppayi, Lucy A. Godley   +5 more
wiley   +1 more source

MAAG: A Multi-Attention Architecture for Generalizable Multi-Target Adversarial Attacks

Applied Sciences
Adversarial examples pose a severe threat to deep neural networks. They are crafted by applying imperceptible perturbations to benign inputs, causing the model to produce incorrect predictions. Most existing attack methods exhibit limited generalization,
Dongbo Ou, Jintian Lu, Cheng Hua, Shihui Zhou, Ying Zeng, Yingsheng He, Jie Tian   +6 more
doaj   +1 more source

Mathematical model for predicting the ultrasonic pulse velocity of concrete

Cogent Engineering, 2023
This paper proposes a mathematical model approach to predict the Ultrasonic Pulse Velocity (UPV) of concrete. This paper presents the formulation, calibration, evaluation, and validation of the proposed UPV model. An experimental program was developed to
Fayez Moutassem, Issam Miqdadi
doaj   +1 more source