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Persistence of an Endangered Amphibian in a Fully Anthropogenic Forested Pondscape
Published 2025-07-01Get full text
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3043
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3044
Shelter Distribution and Type Affect Space Use of a Desert Reptile
Published 2025-02-01Get full text
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3045
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3046
EEMtoolbox: A user‐friendly R package for flexible ensemble ecosystem modelling
Published 2025-05-01Get full text
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3047
TinyCO2: High‐performance, low‐cost CO2 enrichment for field‐grown plants
Published 2025-07-01Get full text
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3048
The potential of wetlands and barrier islands as a coastal defense in mitigating the storm surge
Published 2025-01-01Get full text
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3049
Spatially explicit predictions using spatial eigenvector maps
Published 2024-11-01Get full text
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3050
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3051
Same data, different results? Machine learning approaches in bioacoustics
Published 2025-08-01“…However, variability in feature extraction and classification methods limits the comparability of results across species and studies, constraining conclusions we can draw about the ecology and evolution of the groups under study. …”
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3052
Multiple Wide Tables with Vertical Scalability in Multitenant Sensor Cloud Systems
Published 2014-04-01Get full text
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3053
A Case-Based Reasoning Approach for Automatic Adaptation of Classifiers in Mobile Phishing Detection
Published 2019-01-01Get full text
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3054
Retracted: E-Learning Recommender Systems Based on Goal-Based Hybrid Filtering
Published 2014-07-01Get full text
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3055
SWR: Smartness Provided by Simple, Efficient, and Self-Adaptive Algorithm
Published 2012-02-01“…The resultant of these features assures flexibility and smartness at nodes and in the network. …”
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3056
Crafting a Real-Time Information Aggregator for Mobile Messaging
Published 2010-01-01“…Meanwhile, we make an empirical performance evaluation about the message transmission time over different networks.…”
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3057
Soft-computing-based false alarm reduction for hierarchical data of intrusion detection system
Published 2019-10-01“…The recurrent neural network model is applied to classify the data set of intrusion detection system and normal instances for various subclasses. …”
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Machine learning for Internet of things anomaly detection under low-quality data
Published 2022-10-01“…We evaluate the methods on two public datasets (one is a simulated network dataset and the other is a real Internet of things dataset). …”
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Activity Recognition on Smartphones via Sensor-Fusion and KDA-Based SVMs
Published 2014-05-01Get full text
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