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1501
RESEARCH ON ARRAY-ENHANCED SELF-ADAPTIVE STOCHASTIC RESONANCE BASED ON PARTICLE SWARM OPTIMIZATION
Published 2017-01-01Subjects: Get full text
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1502
SWITCHED RELUCTANCE MOTOR CONTROL BASED ON ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)
Published 2020-12-01“…This paper gives some studies on the model of Switched Resistor Motor (SRM). The adaptive neuro-fuzzy inference system (ANFIS) is used to model the inductance and moment of the SRM. …”
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1503
Improved ratio type generalized class of estimators in two phase adaptive cluster sampling
Published 2024-03-01Subjects: “…adaptive cluster double sampling…”
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1504
Cross-cultural adaptation and validation of the CFAbd-Score for gastrointestinal symptoms in patients with cystic fibrosis
Published 2025-01-01“…Objective: Translating and cross-culturally adapting the CFAbd-Score, Cystic Fibrosis (CF) Abdominal Score, to use in Brazilian spoken Portuguese. …”
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1505
A Trajectory Prediction Method for Reentry Glide Vehicles via Adaptive Cost Function
Published 2025-01-01Subjects: Get full text
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1506
Shock and adaption: The economic impact of COVID-19 in the Mentawai Islands, West Sumatra, Indonesia
Published 2025-01-01“…This study explores the effect of the COVID-19 pandemic on the household economy, and their adaptive responses to it, in two villages of the Mentawai Islands, Indonesia. …”
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1507
Adaptive Synchronization of Complex Networks with Mixed Probabilistic Coupling Delays via Pinning Control
Published 2014-01-01“…The coupling configuration matrices are not assumed to be symmetric or irreducible. By adding adaptive feedback controllers to a small fraction of network nodes, a low-dimensional pinning sufficient condition is obtained, which can guarantee that the network asymptotically synchronizes to a homogenous trajectory in mean square sense. …”
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1508
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1509
A comparison of force adaptation in toddlers and adults during a drawer opening task
Published 2025-01-01Subjects: “…Motor adaptation…”
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1510
Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Bearing Fault Diagnosis
Published 2017-01-01“…The vibration signal is first processed using various scales of morphological analysis, where the length of SE is determined adaptively. Thereafter, nine statistical features are extracted from the processed signal. …”
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1511
Adaptive Sliding Mode Tracking Control for Unmanned Autonomous Helicopters Based on Neural Networks
Published 2018-01-01“…In this paper, an adaptive sliding mode tracking control scheme is developed for the medium-scale unmanned autonomous helicopter with system uncertainties and external unknown disturbances. …”
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1512
Cocoa farmers' characteristics on climate variability and its effects on climate change adaptation strategy
Published 2024-01-01“…These factors also influenced their ability to cope, adapt, and seek new approaches to manage and mitigate the effects of climate change on their farming operations.CONCLUSION: The relationship between farmers’ characteristics and adaptive capacity showed that the larger the land owned by farmers, the higher the managerial adaptability of farmers with lower technical ability.…”
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1513
Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach
Published 2025-01-01Subjects: “…Adaptive cruise control (ACC) vehicle…”
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1514
Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networks
Published 2009-01-01“…Wireless sensor networks usually have limited resources, such as energy, bandwidth and processing and so on.And they can’t match the transmission of a large number of data.So, it is necessary to perform in-network compression of the raw data sampled by sensors.The data sensor node collected normally have multiple-modalities pertinence.Multiple-modalities pertinence refers to the different types of data which the same node sampled have some correlation.A adaptive multiple-modalities data compression algorithm using wavelet was designed.In a given threshold of the correlation, the data can be adaptive classified using this algorithm.the relevant data can be estimated using the least square estimation.The characteristics data are abstracted as a matrix, then can be exploited the spatial and temporal corrections using wavelet transform.Theoretically and experimentally, the proposed algorithm can effectively exploit the correlation of the data, the compression ratio of the algorithm has improved.Effectively, it can provide a significant reduction in energy consumption.…”
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1515
Leaf and Root Functional Traits of Woody and Herbaceous Halophytes and Their Adaptations in the Yellow River Delta
Published 2025-01-01“…The variations in their functional traits reflect adaptive responses to environmental conditions, yet limited information is available regarding these trait variations and their coordination in saline environments. …”
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1516
Adaptation of shell morphology to different tidal zones—insights into phenotypic plasticity of Littorina brevicula
Published 2025-01-01“…IntroductionThe adaptability of intertidal gastropods to their environmental niches is a critical aspect of their survival. …”
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1517
An Adaptive Hybrid Algorithm Based on Particle Swarm Optimization and Differential Evolution for Global Optimization
Published 2014-01-01“…Adaptive mutation is carried out on current population when the population clusters around local optima. …”
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1518
A Comparative Bibliometric Analysis of Global Research on Adaptation Interventions for Healthy Aging at Home
Published 2025-01-01“…This study aimed to assess the contribution of housing adaptation research outputs across the world and disclose housing adaptation as a public issue not just a private trouble. …”
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1519
Development of a Coupled and Self-adaptive Robot Hand with Linear Empty-trip Transmission
Published 2018-01-01Subjects: Get full text
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1520
An Adaptive Model Order Reduction Method Based on the Damage Evolution for Nonlinear Seismic Analysis
Published 2020-01-01“…This paper proposes an adaptive model order reduction (MOR) method based on the damage evolution among the overall structure to alleviate the computational burden. …”
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