Suggested Topics within your search.
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Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data
Published 2025-02-01“…This study introduces SCM, a two-stage composite feature selection framework designed to address this challenge. …”
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A Survey on the Functionalities of Data Catalog Tools
Published 2025-01-01“…Currently, there is no generally accepted definition or interpretation regarding the required functionality of data catalog tools. This has not only led to a wide range of so-called data catalog tools but has also made it difficult for practitioners to gain an overview in order to make a targeted selection of a tool. …”
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Using an ensemble approach to predict habitat of Dusky Grouse ( Dendragapus obscurus ) in Montana, USA
Published 2024-12-01“…Consensus between the resource selection function and random forest models was high (93%) and the ensemble map had higher predictive accuracy when classifying the independent dataset than the other two models. …”
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A functional selection model explains evolutionary robustness despite plasticity in regulatory networks
Published 2012-10-01“…We explain these trends using a model with a strong selection to conserve the overall function of a transcription factor, and a much weaker selection over the specific genes it targets. …”
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Human-Machine Function Allocation Method for Submersible Fault Detection Tasks
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Characterization of analog rice produced from various carbohydrate sources and their functional components: a review
Published 2025-06-01“…The information summarized in this review can be a reference for selecting the carbohydrate sources and ingredients for further development of analog rice based on its resulting characteristics and health benefits.…”
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PFW-YOLO Lightweight Helmet Detection Algorithm
Published 2025-01-01“…However, due to the limited arithmetic and storage resources of edge-end devices, and the traditional detection algorithms have problems such as the number of parameters and large computational volume, the detection algorithms are difficult to be deployed practically. …”
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KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection
Published 2025-07-01“…Abstract The rapid expansion of Internet of Things (IoT) networks necessitates efficient intrusion detection systems (IDS) capable of operating within the stringent resource constraints of IoT devices. …”
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Fermented Buffalo Milk with Conjugated Linoleic Acid-Producing Bacteria: Strain Selection and Functional Applications
Published 2025-05-01“…Buffalo milk is a rich source of precursor fatty acids for bioactive compounds and provides an optimal environment for bacterial growth. …”
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Recent Technological Advancements for Identifying and Exploiting Novel Sources of Pest and Disease Resistance for Peanut Improvement
Published 2024-12-01“…Recent technological advancements have revolutionized the identification of novel resistance sources and the development of resistant peanut cultivars. …”
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Weak-Lensing Shear-Selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: I. Cluster Catalog, Selection Function and Mass--Observable Relation
Published 2025-01-01“…We use semi-analytical injection simulations to derive the selection function and the mass--observable relation of our sample. …”
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Detection of Sensitive Malicious Android Functionalities Using Inter-Component Control-Flow Analysis
Published 2025-01-01“…The paper proposes a robust inter-component communication (ICC) based detection approach to identify such hidden functionality exploited by adversaries. …”
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Robotic arm target detection algorithm combined with deep learning
Published 2024-12-01“…Existing target detection algorithms deployed on robotic arms would occupy a large amount of system resources, have poor real-time detection performance, and have a large number of model parameters. …”
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