Results 11 to 20 of about 68,922 (259)
Human–machine collaboration for enhanced decision-making in governance
Data & PolicyA detailed exploration is presented of the integration of human–machine collaboration in governance and policy decision-making, against the backdrop of increasing reliance on artificial intelligence (AI) and automation.
Dirk Van Rooy
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XAI Human-Machine collaboration applied to network security
Frontiers in Computer ScienceCyber attacking is easier than cyber defending—attackers only need to find one breach, while the defenders must successfully repel all attacks. This research demonstrates how cyber defenders can increase their capabilities by joining forces with ...
Steve Moyle +2 more
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AI-Powered Obstacle Detection for Safer Human-Machine Collaboration
Acta Electrotechnica et InformaticaThis article deals with ensuring and increasing the safety of mobile robotic systems in human-machine collaboration. The goal of the research was to design and implement an artificial intelligence application that recognizes obstacles, including humans ...
Krupáš Maros +3 more
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Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments. [PDF]
Nat CommunHuman-machine voice interaction based on speech recognition offers an intuitive, efficient, and user-friendly interface, attracting wide attention in applications such as health monitoring, post-disaster rescue, and intelligent control.
Yao C +14 more
europepmc +2 more sources
Mutualistic and adaptive human-machine collaboration based on machine learning in an injection moulding manufacturing line [PDF]
, 2020 This paper proposes an adaptive human-machine collaboration paradigm based on machine learning. Human-machine collaboration requires more than letting humans and machines interact according to fixed rules.
Secchi C. +7 more
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, 2021 International audienceThe human–machine collaboration system is a key means of manufacturing. Its surveillance, prognostic, and health management are related to safety and manufacturing persistence.
Snoussi, Hichem +5 more
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Prototype Learning for Medical Time Series Classification via Human-Machine Collaboration. [PDF]
Sensors (Basel)Deep neural networks must address the dual challenge of delivering high-accuracy predictions and providing user-friendly explanations. While deep models are widely used in the field of time series modeling, deciphering the core principles that govern the
Xie J, Wang Z, Yu Z, Ding Y, Guo B.
europepmc +2 more sources
Engineering Human–Machine Teams for Trusted Collaboration
Big Data and Cognitive Computing, 2020 The way humans and artificially intelligent machines interact is undergoing a dramatic change. This change becomes particularly apparent in domains where humans and machines collaboratively work on joint tasks or objects in teams, such as in industrial ...
Basel Alhaji +14 more
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Resource Scheduling for Human-Machine Collaboration in Multiagent Systems
, 2022 Part 3: Multiagent SystemsInternational audienceTo solve the human-machine resource scheduling problem in multiagent systems, we represent the complex constraints among subtasks by a directed graph and model the transmission effect of uncertainty of task
Jiang, Yichuan +3 more
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Zhejiang dianli, 2022 Transmission lines are now copiously equipped with front-end sensors characterized by a great variety， fast version iteration， and varying reliability levels， and how to efficiently achieve human-machine collaboration and maximize the efficiency of ...
BIAN Beilei, JIANG Jiong, LIU Peng
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