Results 91 to 100 of about 4,404,768 (300)

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

A Transformer-based multi-modal fusion network for semantic segmentation of high-resolution remote sensing imagery

International Journal of Applied Earth Observations and Geoinformation
Semantic segmentation of high-resolution multispectral remote sensing image has been intensely studied. However, the shadow occlusions, or the similar color and textures, between the categories influence the segmentation accuracy. Concomitantly, the size
Yutong Liu, Kun Gao, Hong Wang, Zhijia Yang, Pengyu Wang, Shijing Ji, Yanjun Huang, Zhenyu Zhu, Xiaobin Zhao   +8 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation

IEEE Access
The heterogeneity and complexity of multi-modal data in high-resolution remote sensing images posed a severe challenge to existing cross-modal networks that aim to fuse complementary information of high-resolution optical and elevation data information ...
Jianxia Wang, Shaozu Qiu, Jia Cai, Xiaoming Zhang   +3 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

PENGARUH PERPUTARAN MODAL KERJA, STRUKTUR MODAL DAN UKURAN PERUSAHAAN TERHADAP PROFITABILITAS PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)

, 2014
Tujuan dari penelitian ini adalah untuk mengetahui pengaruh perputaran modal kerja, struktur modal dan ukuran perusahaan terhadap profitabilitas pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia pada tahun 2008-2011.
PENGARUH PERPUTARAN MODAL KERJA
core  

VI-MSFFN: A Visible-Infrared Multi-Scale Feature Fusion Network for Cross-Modal Detection in Remote Sensing

Remote Sensing
To address the issues of insufficient single-modality robustness and limited multi-scale object detection accuracy in remote sensing image detection (RSID) in complex environments, this paper proposes a multimodal RSID network named VI-MSFFN.
Yurong Yue, Weiwei Qin, Hao Chi, Baiwei An, Dingyi Wu, Wenxin Guo, Jingyi Xiong   +6 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Variable resistance and magnetic-pneumatic multi-modal fusion tactile perception

Shenzhen Daxue xuebao. Ligong ban
To overcome the limitation that single-modal tactile sensing is insufficient for achieving diversified and multi-dimensional fine tactile perception, we propose a multi-modal tactile perception method that integrates variable resistance, magnetic field ...
LIU Yang, ZHANG Huiqi, ZHANG Yaoxuan, LIU Yulong, HUANG Haiming   +4 more
doaj   +1 more source

Multi-modal physiological signal emotion recognition based on 3D hierarchical convolution fusion

智能科学与技术学报, 2021
In recent years, physiological signals such as electroencephalograhpy (EEG) have gradually become popular objects of emotion recognition research because they can objectively reflect true emotions.However, the single-modal EEG signal has the problem of ...
Wenfen LING, Sihan CHEN, Yong PENG, Wanzeng KONG   +3 more
doaj