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multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired
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multidisciplinary team to lead a field-based study characterizing volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor
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:2405.08111, 2024. https://doi.org/10.48550/arXiv.2405.08111 [4] R. Ketfi, Z. Al Masry, N. Zerhouni, C. Devalland, “MS-DQI: A methodology for data quality assessment in medical sensor networks with a case study
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published. Website for additional job details https://www.cd6.upc.edu/ Work Location(s) Number of offers available1Company/InstituteCentre for Sensors, Instruments and Systems Development (CD6
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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is to design a data architecture capable of harmonising sensor data and integrating them with artificial intelligence algorithms for predictive irrigation management. The research will include
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fascinated by cutting-edge photonic technologies and their role in shaping the future of clean energy? Do you want to pioneer integrated photonic sensors for nuclear fusion diagnostics? Join us in developing
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optics, photonics, lasers, and atomic and molecular physics. The laboratory conducts both fundamental research and applied work (telecommunications, healthcare, sensors). It is equipped with advanced
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: Radio Frequency Identification (RFID) technology, both chip and chipless, along with the integration of stand-alone or integrated sensors, provides a physical platform for the implementation