Feasibility study of a Hybrid Intrusion Detection System (Random Forest & Isolation Forest) for satellite networks using only terrestrial training data. Resilient IoT Intrusion Detection System (IDS) ...
Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
It has long been known that intact, undisturbed native forests of high integrity are indispensable for sustaining tropical biodiversity. But what fraction of tropical rainforest cover remains intact ...
Geothermal heat flow (GHF) data measured directly from boreholes are sparse. Purely physics-based models for geothermal heat flow prediction require various simplifications and are feasible only for ...
Today, we’re excited to announce the release of SynapseML (previously MMLSpark), an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. Building ...
This repository hosts Python code of the Functional Isolation Forest algorithm: https://proceedings.mlr.press/v101/staerman19a. Here we provide the source code using ...
PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...
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