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A global object-oriented dynamic network for low-altitude remote sensing object detection
Published 2025-05-01“…This study introduces the Global Object-Oriented Dynamic Network (GOOD-Net) algorithm, comprising three fundamental components: an object-oriented, dynamically adaptive backbone network; a neck network designed to optimize the utilization of global information; and a task-specific processing head augmented for detailed feature refinement. …”
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82
IR-ADMDet: An Anisotropic Dynamic-Aware Multi-Scale Network for Infrared Small Target Detection
Published 2025-05-01“…To address these issues, we propose an Anisotropic Dynamic-aware Multi-scale Network for Infrared Small Target Detection (IR-ADMDet). …”
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83
Chaotic itinerancy within the coupled dynamics between a physical body and neural oscillator networks.
Published 2017-01-01“…Herein, a series of simulations using different types of non-linear oscillator networks (i.e., regular, small-world, scale-free, random) with a musculoskeletal model (i.e., a snake-like robot) as a physical body are conducted to understand how the chaotic itinerancy of bodily behavior emerges from the coupled dynamics between the body and the brain. …”
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84
Road network expansion and landscape dynamics in the Chaohu Lake wetland: A 20-year analysis
Published 2025-04-01Get full text
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85
A Vehicle–Infrastructure Cooperative Perception Network Based on Multi-Scale Dynamic Feature Fusion
Published 2025-03-01“…To tackle this issue, we propose a novel vehicle–infrastructure cooperative perception network designed to effectively bridge the feature integration between vehicle and infrastructure sensors. …”
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86
Dynamic Load Balancing for Enhanced Network Performance in IoT-Enabled Smart Healthcare With Fog Computing
Published 2024-01-01“…The system follows a three-tier architecture: 1) Sensor data collection, where patient-worn sensors transmit vital signs; 2) a Fog layer for real-time analysis near base stations; and 3) Cloud storage and user access via mobile devices. Simulations conducted using the iFogSim toolkit demonstrate that OLB achieves a 28% reduction in latency, a 15% improvement in network usage, a 20% reduction in execution time, a 25% decrease in energy consumption, and a 22% reduction in execution cost compared to existing methods, including the Load Balancing Scheme (LBS), Fog Node Placement Algorithm (FNPA), Load-Aware Balancing (LAB) scheme, and Mobile Edge Computing (MEC). …”
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87
Edge-guided feature fusion network for RGB-T salient object detection
Published 2024-12-01Get full text
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88
Modeling spatial interaction networks of the gut microbiota
Published 2022-12-01“…We integrate allometric scaling theory, evolutionary game theory, and prey-predator theory into a unified framework under which quasi-dynamic microbial networks can be inferred from static abundance data. …”
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89
Performance Guarantees of Recurrent Neural Networks for the Subset Sum Problem
Published 2025-04-01“…However, there has been limited research on the performance guarantees of recurrent neural networks (RNNs) when applied to the subset sum problem. …”
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90
Revisiting the effective connectivity within the distributed cortical network for face perception
Published 2021-12-01“…The functional interaction within this network, more specifically the effective connectivity, was first described by Fairhall and Ishai (2007) using functional magnetic resonance imaging and dynamic causal modeling. …”
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91
Exploring dopant‐enhanced ionic conductivity of AgCl‐doped Li7P3S11 solid electrolytes: Integrating synchrotron Rietveld analysis, DFT, and ANN‐based molecular dynamics approaches...
Published 2024-11-01“…Synthesis and electrochemical characterizations show that the 0.2 M AgCl‐doped LPS (Li6.8P3Ag0.1S10.9Cl0.1) exhibited an over 80% improvement in ionic conductivity compared with the undoped LPS. The atomic‐level structures responsible for the enhanced conductivity were generated by a set of experiment and simulation techniques: synchrotron X‐ray diffractometry, Rietveld refinement, density functional theory, and artificial neural network‐based molecular dynamics simulations. …”
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92
Time Scale Control Using Dynamic GMDH Neural Network Forecasting Based on Real Measurement Data
Published 2025-06-01“…This article presents the results of the conducted research work related to the dynamic forecasting of the difference values for the Polish Time Scale UTC(PL) for real measurement data, prepared in the form of the time series TS1 and TS2. …”
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93
A dynamic localization network for regional navigation under global navigation satellite system denial environments
Published 2019-03-01“…In this article, we developed a dynamic localization network based on pseudolite technology for regional augmentation navigation purpose. …”
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Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction
Published 2022-12-01“…To address these challenges, we developed a novel model called the multi-featured spatial-temporal (MFST) and dynamic multi-graph convolutional network (DMGCN) model. …”
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96
DICTION: DynamIC robusT whIte bOx Watermarking Scheme for Deep Neural Networks
Published 2025-07-01“…Deep neural network (DNN) watermarking is a suitable method for protecting the ownership of deep learning (DL) models. …”
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Dynamic Event-Triggered-Based Finite-Time Distributed Tracking Control of Networked Multi-UAV Systems
Published 2025-01-01“…Moreover, a Lyapunov-based analysis is conducted to theoretically verify the finite-time stability of the closed-loop system and its applicability in directed communication networks. …”
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99
Analysis of Cascading Failure in Urban Metro Networks: A Dynamic Perspective Incorporating Changes in Travel Decisions
Published 2025-01-01“…The study’s validation is conducted within the urban subway network of Nanjing, China. …”
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100
CDMRNet: multimodal meta-adaptive reasoning network with dynamic causal modeling and co-evolution of quantum states
Published 2025-07-01“…To address these issues, the article proposes a dynamic causal-aware collaborative quantum state evolution multimodal reasoning architecture, Causal-aware Dynamic Multimodal Reasoning Network (CDMRNet). …”
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