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Outputs (17)

Numerical assessments of the effects of injected air temperature and well configuration on the cycle performance in compressed air energy storage in aquifers (2022)
Book Chapter
Yang, L., Cai, Z., Li, C., Guo, C., & He, Q. (2023). Numerical assessments of the effects of injected air temperature and well configuration on the cycle performance in compressed air energy storage in aquifers. In J. Miocic, N. Heinemann, K. Edlmann, J. Alcalde, & R. Schultz (Eds.), Enabling Secure Subsurface Storage in Future Energy Systems. Geological Society. https://doi.org/10.1144/sp528-2022-74

Aquifers have advantages over salt caverns as the storage vessels for compressed air energy storage due to their wider availability for suitable sites and lower one-off capital investment for construction. We conducted numerical simulations for compr... Read More about Numerical assessments of the effects of injected air temperature and well configuration on the cycle performance in compressed air energy storage in aquifers.

IoT for Sustainability (2022)
Book Chapter
Davison, B. (2022). IoT for Sustainability. In R. Buyya, L. Garg, G. Fortino, & S. Misra (Eds.), New Frontiers in Cloud Computing and Internet of Things (253-286). Cham: Springer. https://doi.org/10.1007/978-3-031-05528-7_10

The Internet of Things (IoT) comprises a set of complementary technologies which offer unprecedented opportunities for interacting with the physical environment. Faced with multiple pressures on our physical wellbeing such as climate change, habitat... Read More about IoT for Sustainability.

Sign in Human-Sound Interaction (2022)
Book Chapter
Di Donato, B. (2022). Sign in Human-Sound Interaction. In J. L. Drever, & A. Hugill (Eds.), Aural Diversity (187-192). Routledge. https://doi.org/10.4324/9781003183624-21

This chapter explores the concept of Human–Sound Interaction (HSI) in music performance in the context of Aural Diversity. HSI focuses on human factors in experiencing sound and how this affects interaction with instruments. HSI looks at people’s div... Read More about Sign in Human-Sound Interaction.

Comparison of machine learning models for early depression detection from users’ posts (2022)
Book Chapter
Mothe, J., Ramiandrisoa, F., & Ullah, M. Z. (2022). Comparison of machine learning models for early depression detection from users’ posts. In F. Crestani, D. E. Losada, & J. Parapar (Eds.), Early Detection of Mental Health Disorders by Social Media Monitoring: The First Five Years of the eRisk Project (111-139). Springer. https://doi.org/10.1007/978-3-031-04431-1_5

With around 300 millions people worldwide suffering from depression, the detection of this disorder is crucial and a challenge for individual and public health. As with many diseases, early detection means better medical management; the use of social... Read More about Comparison of machine learning models for early depression detection from users’ posts.

A Survey on the Integration of Blockchain and IoT: Challenges and Opportunities (2022)
Book Chapter
Abubakar, M., Jaroucheh, Z., Al-Dubai, A., & Liu, X. (2022). A Survey on the Integration of Blockchain and IoT: Challenges and Opportunities. In R. Jiang, A. Bouridane, C. Li, D. Crookes, S. Boussakta, F. Hao, & E. A. Edirisinghe (Eds.), Big Data Privacy and Security in Smart Cities (197-221). Springer. https://doi.org/10.1007/978-3-031-04424-3_11

Since Satoshi Nakamoto first introduced the blockchain as an open-source project for secure financial transactions, it has attracted the scientific community’s interest, paving the way for addressing problems in domains other than cryptocurrencies, o... Read More about A Survey on the Integration of Blockchain and IoT: Challenges and Opportunities.

A Testing Methodology for the Internet of Things Affordable IP Cameras (2022)
Book Chapter
Dzwigala, G., Ghaleb, B., Aldhaheri, T. A., Wadhaj, I., Thomson, C., & Al-Zidi, N. M. (2022). A Testing Methodology for the Internet of Things Affordable IP Cameras. In H. Sharma, V. Shrivastava, K. Kumari Bharti, & L. Wang (Eds.), . Springer. https://doi.org/10.1007/978-981-19-2130-8_37

IP cameras are becoming a cheaper and more convenient option for a lot of households, whether it being for outdoor, indoor security, or as baby or pet monitors. Their security, however, is often lacking, and there is currently no testbed that focuses... Read More about A Testing Methodology for the Internet of Things Affordable IP Cameras.

A Commonsense-Enhanced Document-Grounded Conversational Agent: A Case Study on Task-Based Dialogue (2022)
Book Chapter
Strathearn, C., & Gkatzia, D. (2023). A Commonsense-Enhanced Document-Grounded Conversational Agent: A Case Study on Task-Based Dialogue. In M. Abbas (Ed.), Analysis and Application of Natural Language and Speech Processing (123-144). Springer. https://doi.org/10.1007/978-3-031-11035-1_6

This paper argues that future dialogue systems must retrieve relevant information from multiple structured and unstructured data sources in order to generate natural and informative responses as well as exhibit commonsense capabilities and flexibilit... Read More about A Commonsense-Enhanced Document-Grounded Conversational Agent: A Case Study on Task-Based Dialogue.

A Fast Inference Framework for Medical Image Semantic Segmentation Tasks Using Deep Learning Framework (2022)
Book Chapter
Yang, S., & Li, Y. (2022). A Fast Inference Framework for Medical Image Semantic Segmentation Tasks Using Deep Learning Framework. In C. H. Chen (Ed.), Computational Intelligence and Image Processing in Medical Applications (157-174). World Scientific Publishing. https://doi.org/10.1142/9789811257452_0010

Deep neural network powered semantic segmentation implementation has great advantages of providing accurate object detection using pixel-based classification; however, when this technique is applied within resource-constrained platforms, such as mobi... Read More about A Fast Inference Framework for Medical Image Semantic Segmentation Tasks Using Deep Learning Framework.

Nanotechnology-Based Treatment Strategies for the Removal of Antibiotics and Their By-Products from Wastewater (2022)
Book Chapter
Pachamal, N., Dharmarajan, R., Sundaram, S. S., & Rajendran, S. (2022). Nanotechnology-Based Treatment Strategies for the Removal of Antibiotics and Their By-Products from Wastewater. In P. Chakraborty, & D. Snow (Eds.), Legacy and Emerging Contaminants in Water and Wastewater: Monitoring, Risk Assessment and Remediation Techniques (339-360). Springer. https://doi.org/10.1007/978-3-030-95443-7_15

Antibiotic resistance has become a serious issue throughout the world due to its inappropriate use and overdosing in pharmaceutical therapies and veterinary and agricultural applications. The cause of increasing antibiotic resistance is the slow and... Read More about Nanotechnology-Based Treatment Strategies for the Removal of Antibiotics and Their By-Products from Wastewater.