Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin.

Agbehadji, Israel Edem; Abayomi, Abdultaofeek; Bui, Khac-Hoai Nam; Millham, Richard C; Freeman, Emmanuel

Agbehadji, Israel Edem; Abayomi, Abdultaofeek; Bui, Khac-Hoai Nam; Millham, Richard C; Freeman, Emmanuel.

Afiliación

Agbehadji IE; Honorary Research Associate, Faculty of Accounting and Informatics, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa.
Abayomi A; Department of Information and Communication Technology, Mangosuthu University of Technology, P.O. Box 12363, Durban 4026, South Africa.
Bui KN; Supercomputing Application Center, Korea Institute of Science and Technology Information (KISTI), Daejeon 34141, Korea.
Millham RC; ICT and Society Research Group, Department of Information Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa.
Freeman E; Department of Computer Science, Ghana Communication Technology University, Accra PMB 100, Ghana.

Sensors (Basel) ; 22(16)2022 Aug 18.

Article en En | MEDLINE | ID: mdl-36015936

Asunto(s)

Algoritmos; Redes Neurales de la Computación

Palabras clave

Internet of Things (IoT) enabled; Kestrel-based search algorithm (KSA); You-Only-Look-Once (YOLO); convolutional neural network (CNN); object detection and classification; smart bin

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Redes Neurales de la Computación Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Sudáfrica

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