Robotic and Deep Learning Systems for Water Distribution Network Monitoring and Waterborne Disease Detection

A Master of Science thesis in Electrical Engineering by Ameen Ayman Awwad entitled, “Robotic and Deep Learning Systems for Water Distribution Network Monitoring and Waterborne Disease Detection”, submitted in January 2025. Thesis advisors are Dr. Lutfi Albasha, Dr. Hasan Mir and Dr. Ghaleb A. Hussei...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Awwad, Ameen Ayman (author)
التنسيق:	doctoralThesis
منشور في:	2025
الموضوعات:	Artificial intelligence (AI) Convolutional neural networks (CNN) Deep learning Infrared temperature sensing InceptionV3 Leak detection Microscopy Mobile robots Microorganism sample processing Pathogenic microorganism detection ResNet-50 Thermal anomaly detection Thermal profiling Underground pipeline Waterborne diseases Water distribution networks (WDNs) Water quality monitoring
الوصول للمادة أونلاين:	https://hdl.handle.net/11073/33613
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

الوصف
الملخص:	A Master of Science thesis in Electrical Engineering by Ameen Ayman Awwad entitled, “Robotic and Deep Learning Systems for Water Distribution Network Monitoring and Waterborne Disease Detection”, submitted in January 2025. Thesis advisors are Dr. Lutfi Albasha, Dr. Hasan Mir and Dr. Ghaleb A. Husseini. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).

Robotic and Deep Learning Systems for Water Distribution Network Monitoring and Waterborne Disease Detection

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