ORCID Profile
0000-0001-8496-8745
Current Organisation
University of South Australia
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Publisher: IEEE
Date: 10-2019
Publisher: MDPI AG
Date: 14-12-2022
Abstract: The immense growth of the population generates a polluted environment that must be managed to ensure environmental sustainability, versatility and efficiency in our everyday lives. Particularly, the municipality is unable to cope with the increase in garbage, and many urban areas are becoming increasingly difficult to manage. The advancement of technology allows researchers to transmit data from municipal bins using smart IoT (Internet of Things) devices. These bin data can contribute to a compelling analysis of waste management instead of depending on the historical dataset. Thus, this study proposes forecasting models comprising of 1D CNN (Convolutional Neural Networks) long short-term memory (LSTM), gated recurrent units (GRU) and bidirectional long short-term memory (Bi-LSTM) for time series prediction of public bins. The execution of the models is evaluated by Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Coefficient determination (R2) and Root Mean Squared Error (RMSE). For different numbers of epochs, hidden layers, dense layers, and different units in hidden layers, the RSME values measured for 1D CNN, LSTM, GRU and Bi-LSTM models are 1.12, 1.57, 1.69 and 1.54, respectively. The best MAPE value is 1.855, which is found for the LSTM model. Therefore, our findings indicate that LSTM can be used for bin emptiness or fullness prediction for improved planning and management due to its proven resilience and increased forecast accuracy.
Publisher: ACM
Date: 10-01-2020
Publisher: IEEE
Date: 2020
Publisher: Springer Science and Business Media LLC
Date: 18-10-2019
DOI: 10.1038/S41467-019-12668-7
Abstract: Antarctic krill ( Euphausia superba ) are swarming, oceanic crustaceans, up to two inches long, and best known as prey for whales and penguins – but they have another important role. With their large size, high biomass and daily vertical migrations they transport and transform essential nutrients, stimulate primary productivity and influence the carbon sink. Antarctic krill are also fished by the Southern Ocean’s largest fishery. Yet how krill fishing impacts nutrient fertilisation and the carbon sink in the Southern Ocean is poorly understood. Our synthesis shows fishery management should consider the influential biogeochemical role of both adult and larval Antarctic krill.
Publisher: IEEE
Date: 03-2019
Publisher: Springer Science and Business Media LLC
Date: 20-11-2019
DOI: 10.1038/S41467-019-13390-0
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Publisher: ACM
Date: 10-01-2020
Publisher: Springer Nature Switzerland
Date: 2023
Publisher: IEEE
Date: 2019
Publisher: Foundation of Computer Science
Date: 15-09-2017
No related grants have been discovered for Sabbir Ahmed.