Showing 1 - 20 results of 146 for search '(("selection bias") OR ((((("selection based") OR ("detection system"))) OR ("solution based"))))', query time: 0.18s Refine Results
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    Design of a fouling detection system by Liu, Zhi

    Published 2017
    “…The purpose of this fueling detection system is to detect the area and level of fouling on the ship body, and provide a quick and clear feedback to the crews on the ship’s hull condition. …”
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    Final Year Project (FYP)
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    Design of intrusion detection systems for vehicular networks by Liang, Junwei

    Published 2021
    “…As one of the most commonly-use approaches to prevent network threats, Intrusion Detection Systems (IDSs) are capable of detecting both insider and external attacks with high accuracy. …”
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    Thesis-Doctor of Philosophy
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    Sensor-based intrusion detection system (SenIDS) by Zhu, Hui.

    Published 2008
    “…In this thesis, major issues related to intrusion detection system (IDS), including framework and mechanism, are studied. …”
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    Thesis
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    Improvement in real-time obstacle detection system for USV by Wang, Han, Wei, Zhuo, Ow, Chek Seng, Ho, Kah Tong, Feng, Benjamin, Huang, Junjie

    Published 2013
    “…A real-time obstacle detection system with vision sensors has been developed for Unmanned Surface Vehicle (USV). …”
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    Conference Paper
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    Low-power processors for implantable epileptic seizure detection system by Baihaqi, Muhammad Rayhan

    Published 2013
    “…This final year project explores the design of the epileptic seizure detection system and utilizing the energy of EEG signal as the feature for detection system. …”
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    Final Year Project (FYP)
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    A review on fall detection systems in bathrooms: challenges and opportunities by Ramanujam, E., Perumal, Thinagaran, Shankar, K.

    Published 2024
    “…Various research works have been proposed to monitor people from falls (fall detection systems -FADE) inside the home environment. However, those systems do not concentrate much on fall detection inside the bathrooms (FADEB). …”
    Article
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    Solution based synthesis of Cu2ZnSnS4 nanoparticles and thin films for solar cell application by Li, Zhenggang

    Published 2014
    “…I this thesis, I present the solution-based synthesis of CZTS nanoparticles and the deposition of CZTS thin films. …”
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    Thesis
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    Fabrication of an evanescent-field fibre optic biosensor in the development of an online bacteria detection system by Quah, Kenneth Jin Hui.

    Published 2009
    “…Recommendations were made to fulfil the advancement of the development of the online bacteria detection system.…”
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    Final Year Project (FYP)
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    Fault detection system and smart power utilization using iot monitoring for photovoltaic system by Azim, Afi, Abu Hassan, Omar, Zambri, Nor Aira, Zulkifli, Shamsul Aizam

    Published 2024
    “…In general, the fault detection system and smart power utilization using IoT monitoring for the photovoltaic system is the focus of this project's development…”
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    Conference or Workshop Item
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    Autoencoder-Based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter by Abadjiev, D., Adams, T., Adzic, P., Ahmad, M., Amendola, C., Andrews, M. B., Arcidiacono, R., Argiro, S., Askew, A., Auffray, E., Azzolini, V., Bailleux, D., Band, R., Barney, D., Barria, P., Bartosik, N., Basile, C., Bastos, D., Bell, K. W., Besancon, M., Bianco, R., Biino, C., Blinov, V., Borca, C., Bornheim, A., Brown, R. M., Campana, M., Castells, S., Cavallari, F., Cetorelli, F., Chatterjee, R. M., Chatterjee, S., Chaudhary, G., Chen, J. A., Chernyavskaya, N., Chung, H., Cipriani, M., Cokic, L., Cooke, C., Cossio, F., Couderc, F., Cristoforetti, D., Cucciati, G., Cunqueiro Mendez, L., Da Silva Di Calafiori, D., Dafinei, I., Cockerill, D. J. A., Dejardin, M., Re, D. Del, Ricca, G. Della, Depasse, P., Dervan, J., Marco, E. Di, Diemoz, M., Dimova, T., Dissertori, G., Dittmar, M., Dolgopolov, A., Donegà, M., Dordevic, M., Mamouni, H. El, Errico, F., Espinosa, F., Faure, J. L., Fay, J., Menendez, J. Fernandez, Ferri, F., Finco, L., Fiori, F., Frahm, E., Funk, W., Gadek, T., Gajownik, J., Galli, M., Ganjour, S., Gascon, S., Ghezzi, A., Ghose, P., Gninenko, S., Goadhouse, S., Godinovic, N., Golubev, N., Govoni, P., Gras, P., Hakala, J., de Monchenault, G. Hamel, Harilal, A., Härringer, N., Hashmi, R., Heath, H. F., Hirosky, R., Ho, K. W., Hou, X., Ingram, Q., Jain, Sh., Javaid, T., Jessop, C., Jimènez, R., Joshi, B. M., Jourd‘hui, E., Kaadze, K., Kao, Y.-W., Kardapoltsev, L., Khurana, R., King, J., Kirilovas, A., Konstantinov, D., Kovac, M., Krishna, A., Kuo, C. M., Lambrecht, L., Lavizzari, G., Lecoq, P., Ledovskoy, A., Legger, F., Lelas, D., Li, Y. y., Liang, Z., Lin, W., Longo, E., Loukas, N., Lu, R. -S., Lustermann, W., Lutton, L., Lyon, A. -M., Maeshima, K., Malcles, J., Mandrik, P., Manzoni, R. A., Marchese, L., Marinelli, N., Marini, A. C., Martin, L., Marzocchi, B., Mascellani, A., Massironi, A., Matveev, V., Mazza, G., Meridiani, P., Mijic, M., Mijuskovic, J., Milenovic, P., Milosevic, J., Monteno, M., Monti, F., Moortgat, F., Mousa, J., Mudholkar, T., Nessi-Tedaldi, F., Nicolaou, C., Nigamova, A., Obertino, M. M., Organtini, G., Orimoto, T., Orlandi, F., Ovtin, I., Paganis, E., Papagiannis, D., Pandolfi, F., Paramatti, R., Park, K., Pastrone, N., Paulini, M., Pauss, F., Petkovic, , A., Petraityte, E., Pettinacci, V., Petyt, D., Pigazzini, S., Pinolini, B. S., Prova, P. R., Quaranta, C., Ragazzi, S., Rahatlou, S., Rasteiro Da Silva, J. C., Razis, P. A., Teles, P. Rebello, Reis, T., Riti, F., Rogan, C., Romanteau, T., Rosowsky, A., Rovelli, C., Rovere, M., Rusack, R., Salvi, G., Sancar, O., Sanchez, A., Sandever, C., Santanastasio, F., Saradhy, R., Sarkar, U., Schneider, M., Schroeder, N., Sculac, A., Sculac, T., Shahzad, M. A., Shepherd-Themistocleous, C. H., Simkina, P., Singla, A., Singovsky, A., Skovpen, Y., Smith, V. J., Soffi, L., Stachon, K., Steen, A., Steggemann, J., Succar, M., Tao, J., Tishelman-Charny, A., Tiwari, P. C., Tornago, M., Tramontano, R., Tsai, L. -S., Usai, E., Valsecchi, D., Vagnerini, A., Varela, J., Venditti, R., Verma, P., Vlassov, E., Wachirapusitanand, V., Wamorkar, T., Wang, C., Wang, J., Wadud, M. A., Yu, S. S., Zabi, A., Zghiche, A., Zhang, L., Zhu, R. Y., Zygal, L.

    Published 2024
    “…A real-time autoencoder-based anomaly detection system using semi-supervised machine learning is presented enabling the detection of anomalies in the CMS electromagnetic calorimeter data. …”
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    Article
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