Guest Editors
Dr. Mohammad Tabrez Quasim, University of Bisha, Saudi Arabia.
Dr. Fahad Algarni, University of Bisha, Saudi Arabia.
Dr. Rihem Farkh, King Saud University, Saudi Arabia.
Dr. Kapal Dev, CONNECT Centre, Trinity Collge Dublin, Ireland.
Summary
At present, robotics behaves and moves like human, the next step in robotics is towards enhancing robots to think like human and make instantaneous decisions without any human interventions. In order to accomplish this, machine learning algorithms and intelligent sensors introduced into robotics.
Instrumentation encompasses measurement techniques, statistical analysis of the information from sensor measurements and the associated equipment. Deep learning and Machine Learning have gone through a massive growth in the past several years. In many domains, such as perception, vision, image recognition, image captioning, speech recognition, machine translation, and board games. Artificial Intelligence (AI) in Instrumentation, Sensors and Robotics addresses advanced AI-embedded and secure technologies for modeling, analysis, synthesis, experimentation, deployment of sensor, control, monitoring, and decision systems.
Keywords
• Artificial Intelligence (AI), Machine Learning and Deep Learning in Instrumentation/ Measurement
• Artificial Intelligence (AI), Machine Learning and Deep Learning in Robotics
• Artificial Intelligence, Machine Learning and Deep Learning in sensors networks
• Big Data analytics for data processing from SNs
• Intelligence image processing algorithms for SNs and Robots
• Clustering and classification algorithms for instrumentation, SNs and robotics
Published Papers
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