Existing cybersecurity playbooks are often written in heterogeneous, non-machine-readable formats, which limits their automation and interoperability across Security Orchestration, Automation, and Response platforms. This paper explores the suitabili...
Motivated by the introduction of CACAO, the first open standard that harmonizes the way we document courses of action in a machine-readable format for interoperability, and the benefits for cybersecurity operations derived from utilizing, and couplin...
The Generative AI Ethics Playbook provides guidance for identifying and mitigating risks of machine learning systems across various domains, including natural language processing, computer vision, and generative AI. This playbook aims to assist pract...
Bringing AI to vehicles and enabling them as sensing platforms is key to transforming maintenance from reactive to proactive. Now is the time to integrate AI copilots that speak both languages: machine and driver. This article offers a conceptual and...
Hudson and Thames: A Machine Learning based Pairs Trading Investment Strategy (⭐ 7)
This project aims to automate the classification of software requirements into functional and non-functional categories using machine learning algorithms. By simplifying the initial stages of software development, this project seeks to enhance project manageme…
of Dermatology. 173 (5): 1336–1338. doi:10.1111/bjd.14005. PMID 26138941. S2CID 8233738. Causes of Hairloss Archived 2021-01-12 at the Wayback Machine
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In the same sense as classical logic is a formal theory of truth, the recently initiated approach called computability logic is a formal theory of computability. It understands (interactive) computational problems as games played by a machine again...
Coherent X-ray scattering techniques are critical for investigating the fundamental structural properties of materials at the nanoscale. While advancements have made these experiments more accessible, real-time analysis remains a significant bottlene...
The recording, aggregation, and exchange of personal data is necessary to the development of socially-relevant machine learning applications. However, anecdotal and survey evidence show that ordinary people feel discontent and even anger regarding da...
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of, for, or pertaining to operations: an operating budget. of or pertaining to the proper operation of a machine, appliance, etc.: a manual of operating instructions.
Powerful, mighty, potent suggest great force or strength. Powerful suggests capability of exerting great force or overcoming strong resistance: a powerful machine like a bulldozer.
This paper investigates the specific experience of following a suggestion by an intelligent machine that has a wrong outcome and the emotions people feel. By adopting a typical task employed in studies on decision-making, we presented participants wi...
A finite state machine library for Node.js and the browser with a friendly configuration DSL. (⭐ 135)
Machine learning, statistics, and data mining for astronomy and astrophysics (⭐ 1158)
Forecasting thermal load is a key component for the majority of optimization solutions for controlling district heating and cooling systems. Recent studies have analysed the results of a number of data-driven methods applied to thermal load forecasti...
Warehouse automation plays a pivotal role in enhancing operational efficiency, minimizing costs, and improving resilience to workforce variability. While prior research has demonstrated the potential of machine learning (ML) models to increase pickin...
Federated learning is a machine learning approach where multiple devices collaboratively learn with the help of a parameter server by sharing only their local updates. While gradient-based optimization techniques are widely adopted in this domain, th...