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  • A Low-Cost Star Tracker System with High Accuracy for Nanosatellites Applications

    International Astronautical Federation (IAF)

    A Low-Cost Star Tracker System with High Accuracy for Nanosatellites Applications

    Aysha Alharam, Yaqoob Alqassab, Basel Altawil p1001-1007 from IAF Space Systems Symposium
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  • A Low-Cost Supercapacitors Battery Design for Cube Satellite Application

    International Astronautical Federation (IAF)

    A Low-Cost Supercapacitors Battery Design for Cube Satellite Application

    Mohammed Beldjehem, Faiza Arezki, Messaoud Bensaada, Fethi Metehri, Kerrouche Kamel Djamel Eddine p1610-1625 from 31st IAA Symposium on Small Satellite Missions
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  • A Low-Earth Orbit Narrowband Communications and Navigation Constellation Study

    International Astronautical Federation (IAF)

    A Low-Earth Orbit Narrowband Communications and Navigation Constellation Study

    Emil Ares, Daniel Codina, Emma Faillat, Dorian Guijarro, Nicola Garzaniti p986-990 from IAF Space Systems Symposium
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  • A Lower Bound of Hash Codes' Performance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Lower Bound of Hash Codes' Performance

    Lianli Gao, Yu Lei, Hengtao Shen, Jingkuan Song, Xiaosu Zhu p29166-29178 from Advances in Neural Information Processing Systems 35
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  • A Lunar Surface Multi-Mode Locomotion Soft Robot Based on Asymmetric Design

    International Astronautical Federation (IAF)

    A Lunar Surface Multi-Mode Locomotion Soft Robot Based on Asymmetric Design

    Shenghao Wang, Zixuan Zheng, Yufei Guo, Haiyun Su, Chenhao Ouyang p641-652 from IAF Space Exploration Symposium
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  • A Lung System for the Martian Shape-Shifter

    International Astronautical Federation (IAF)

    A Lung System for the Martian Shape-Shifter

    Aysel Seyfullayeva, Fidan Aliyeva p430-434 from 22nd IAA Symposium on Building Blocks for Future Space Exploration and Development
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  • A Machine Learning Approach to Analyze Planetary Boundary Layer Height from GNSS Radio Occultation Observations

    International Astronautical Federation (IAF)

    A Machine Learning Approach to Analyze Planetary Boundary Layer Height from GNSS Radio Occultation Observations

    Endrit Shehaj, Stephen Leroy, Kerri Cahoy, Sara Vannah, Chi Ao p549-556 from IAF Earth Observation Symposium
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  • A Machine Learning Framework for Predicting Mining-Driven Land Use Changes: A Case Study for Sustainable Resource Management in Shurugwi, Zimbabwe

    International Astronautical Federation (IAF)

    A Machine Learning Framework for Predicting Mining-Driven Land Use Changes: A Case Study for Sustainable Resource Management in Shurugwi, Zimbabwe

    Muongeni Tamara Manda, Tolga Ors, Ekaterina Gikalo, Prince Gudoshava, Joseph Tuyishimire p242-246 from IAF Earth Observation Symposium
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  • A Machine Learning Model to Automate Quantitative Evaluation of Line Pipe Microstructures

    Clarion Technical Conferences

    A Machine Learning Model to Automate Quantitative Evaluation of Line Pipe Microstructures

    Peter Martin, Nathan Switzner, Joel Anderson, Joshua Stuckner, Owen Lopez-Oneal, Sophia Curiel, Peter Veloo p405-424 from 36th International Pipeline Pigging and Integrity Management Conference (PPIM 2024)
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  • A Machine Learning Model to Optimize Bomb Suit Size Selection

    Royal Military Academy (Belgium)

    A Machine Learning Model to Optimize Bomb Suit Size Selection

    J. P. Dionne, J. Levine, M. Keown, A. Makris p211-218 from 17th Personal Armour Systems Symposium (PASS 2025)
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  • A Machine Learning Roadmap for On-Orbit Servicing

    International Astronautical Federation (IAF)

    A Machine Learning Roadmap for On-Orbit Servicing

    Gonzalo Aguirre, William Jones p1008-1022 from IAF Space Systems Symposium
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  • A Machine Learning-Based Calibration of a 1D Ejector Model from CFD

    ECOS 2023

    A Machine Learning-Based Calibration of a 1D Ejector Model from CFD

    Jan Van Den Berghe, Jagadish Babu Vemula, Yann Bartosiewicz, Miguel Alfonso Mendez p424-435 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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