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All Outputs (520)

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.

Cyber Threats in the Healthcare Sector and Countermeasures (2022)
Book Chapter
Ahmed, M. M., Maglaras, L., & Ferrag, M. A. (2022). Cyber Threats in the Healthcare Sector and Countermeasures. In M. Khosrow-Pour (Ed.), Research Anthology on Securing Medical Systems and Records. IGI Global. https://doi.org/10.4018/978-1-6684-6311-6.ch001

Healthcare is one of the most targeted industries by cybercriminals. The healthcare sector is far behind in cybersecurity as compared to other organizations. The vulnerabilities in the system open the door for cybercriminals to exploit it and get una... Read More about Cyber Threats in the Healthcare Sector and Countermeasures.

Concern for heavy metal ion water pollution: Their strategic detection and removal opportunities (2022)
Book Chapter
Velusamy, S., Roy, A., Sundaram, S., & Mallick, T. K. (2022). Concern for heavy metal ion water pollution: Their strategic detection and removal opportunities. In M. Kumar, S. Mohapatra, & K. Acharya (Eds.), Contaminants of Emerging Concerns and Reigning Removal Technologies. CRC Press. https://doi.org/10.1201/9781003247869-13

Unsatisfactory insubstantial infrastructure and restricted management systems increase the possibility of water stress and may lead to a predictable water crisis in many locations. The water stress arises due to massive urbanisation and industrialisa... Read More about Concern for heavy metal ion water pollution: Their strategic detection and removal opportunities.

Artificial Intelligence: Practical and Ethical Challenges (2022)
Book Chapter
Rice, S., & Maglaras, L. (2022). Artificial Intelligence: Practical and Ethical Challenges. In M. Ahmed, S. Rabiul Islam, A. Anwar, N. Moustafa, & A.-S. Khan Pathan (Eds.), Explainable Artificial Intelligence for Cyber Security (59-71). Springer. https://doi.org/10.1007/978-3-030-96630-0_3

Artificial Intelligence (AI) & Machine Learning (ML) is used everywhere in daily life from speech recognition on our phones, targeted marketing strategies & face recognition without the majority of society even realising it. The power of technology a... Read More about Artificial Intelligence: Practical and Ethical Challenges.

Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn (2022)
Book Chapter
Hart, E. (2022). Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn. In A. E. Smith (Ed.), Women in Computational Intelligence: Key Advances and Perspectives on Emerging Topics (187-203). Springer. https://doi.org/10.1007/978-3-030-79092-9_9

Standard approaches to developing optimisation algorithms tend to involve selecting an algorithm and tuning it to work well on a large set of problem instances from the domain of interest. Once deployed, the algorithm remains static, failing to impro... Read More about Lifelong Learning Machines: Towards Developing Optimisation Systems That Continually Learn.

Manufacturing A Biogenic Built Environment (2022)
Book Chapter
Hairstans, R. Manufacturing A Biogenic Built Environment. In Timber Industry Yearbook 2022 (77-81). BM TRADA

Robert Hairstans discusses the Biogenic Built Environment Framework: collaborative projects where research, innovation, commercialisation and education work in concert.

The need for latent variables for modelling decision-making in evacuation simulations (2022)
Book Chapter
Lovreglio, R., Borri, D., Ronchi, E., Fonzone, A., & dell’Olio, L. (2022). The need for latent variables for modelling decision-making in evacuation simulations. In C. De Lucia, D. Borri, A. Kubursi, & A. Khakee (Eds.), Economics and Engineering of Unpredictable Events: Modelling, Planning and Policies (82-96). Routledge. https://doi.org/10.4324/9781003123385-8

Evacuation models generally tend to make over-simplifications in the representation of human behaviour in fire due to the difficulties to capture its complexity. This work shows how discrete choice model approaches allow overcoming this issue. A desc... Read More about The need for latent variables for modelling decision-making in evacuation simulations.

Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed (2022)
Book Chapter
Alexy, M., & Horváth, T. Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed. In Tracing the Domestic Pig. IntechOpen. https://doi.org/10.5772/intechopen.101615

Pig farming is largely characterized by closed, large-scale housing technology. These systems are driven by resource efficiency. In intensive technologies, humans control almost completely. However, there are pig farming systems where humans have jus... Read More about Tracing the Local Breeds in an Outdoor System – A Hungarian Example with Mangalica Pig Breed.

Nondestructive Inspection (NDI) (2021)
Book Chapter
Mook, G., & Shyha, I. (2021). Nondestructive Inspection (NDI). In K.-H. Grote, & H. Hefazi (Eds.), Springer Handbook of Mechanical Engineering (215-232). Springer. https://doi.org/10.1007/978-3-030-47035-7_7

This chapter discusses various nondestructive inspection () methods. Nondestructive inspection includes all methods to characterize a material without indenting, extracting samples, reducing its service capabilities or destroying it. The following ch... Read More about Nondestructive Inspection (NDI).

A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things (2021)
Book Chapter
Farhad, A., Woolley, S. I., & Andras, P. (2021). A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. In J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, M. Crişan-Vida, E. Zoulias, & O. Sorina Chirila (Eds.), Public Health and Informatics (504-505). IOS Press. https://doi.org/10.3233/SHTI210216

This paper presents a scoping review of federated learning for the Internet of Medical Things (IoMT) and demonstrates the limited amount of research work in an area which has potential to improve patient care. Federated Learning and IoMT – as standal... Read More about A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things.

From a PhD to Assisting BioMusic Research (2021)
Book Chapter
Di Donato, B. (2021). From a PhD to Assisting BioMusic Research. In C. Vear (Ed.), The Routledge International Handbook of Practice-Based Research (642-649). Routledge. https://doi.org/10.4324/9780429324154-50

This chapter describes the author’s practice and experience in transitioning from being a PhD in Music Technology candidate to a research assistant on a large-scale funded project. Both research works were delivered in a multidisciplinary environment... Read More about From a PhD to Assisting BioMusic Research.

Decentralised Privacy: A Distributed Ledger Approach (2021)
Book Chapter
Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (2021). Decentralised Privacy: A Distributed Ledger Approach. In C. Mustansar Hussain, & P. Di Sia (Eds.), Handbook of Smart Materials, Technologies, and Devices (1-26). Springer. https://doi.org/10.1007/978-3-030-58675-1_58-1

Our world due to the technological progress became fast-paced and is constantly evolving, thus changing every single day. Consequently, the most valuable asset on earth is not gold or oil anymore but data. Big data companies try to take advantage of... Read More about Decentralised Privacy: A Distributed Ledger Approach.

Multiscale Modeling for the Statics of Nanostructures (2021)
Book Chapter
Hoang, K.-Q., & Kadapa, C. (2021). Multiscale Modeling for the Statics of Nanostructures. In S. Chakraverty (Ed.), Nano Scaled Structural Problems: Static and Dynamic Behaviors (1-38). AIP Publishing. https://doi.org/10.1063/9780735422865_002

Characterization of mechanical properties of materials is essential toward understanding their deformation behavior when subjected to external forces. For a complete understanding of the behavior of materials from the interaction of atoms at the nano... Read More about Multiscale Modeling for the Statics of Nanostructures.

Algorithmic machines: From binary communication designs to human-robot interactions (2021)
Book Chapter
Zeller, F. (2021). Algorithmic machines: From binary communication designs to human-robot interactions. In M. Taddicken, & C. Schumann (Eds.), Algorithms and Communication (95-132). Digital Communication Research. https://doi.org/10.48541/dcr.v9.4

This article discusses aspects of future research in communication sciences related to a popular and omnipresent artefact of algorithmic machines, social robots. Social robots are defined in this article as physical entities or machines, which may re... Read More about Algorithmic machines: From binary communication designs to human-robot interactions.

Recorded performance as digital content: Perspectives from Fringe 2020 (2021)
Book Chapter
Elsden, C., Yu, D., Piccio, B., Helgason, I., & Terras, M. (2021). Recorded performance as digital content: Perspectives from Fringe 2020. In L. Bissell, & L. Weir (Eds.), Performance in a Pandemic. Routledge. https://doi.org/10.4324/9781003165644

Within days of performance venues being forced to close their doors in 2020, the National Theatre began broadcasting high-quality recordings of the best of London’s West End. Few other companies could dream of having such rich recorded archives to dr... Read More about Recorded performance as digital content: Perspectives from Fringe 2020.

Mapping the Anthropocene: The Harrisons’ and The Deep Wealth of this Nation, Scotland (2021)
Book Chapter
Panneels, I. (2021). Mapping the Anthropocene: The Harrisons’ and The Deep Wealth of this Nation, Scotland. In C. Travis, & V. Valentino (Eds.), Narratives in the Anthropocene era (321-342). Il Silent Edizioni

Mapping the Anthropocene considers The Deep Wealth of this Nation, Scotland (2018) by eco-art pioneers Helen Mayer and Newton Harrison. Known as the Harrisons, they deploy mapping to explore how a future Scotland could thrive and create surplus of ec... Read More about Mapping the Anthropocene: The Harrisons’ and The Deep Wealth of this Nation, Scotland.

Linear Concept Approximation for Multilingual Document Recommendation (2021)
Book Chapter
Salamon, V. T., Tashu, T. M., & Horváth, T. (2021). Linear Concept Approximation for Multilingual Document Recommendation. . Springer. https://doi.org/10.1007/978-3-030-91608-4_15

In this paper, we proposed Linear Concept Approximation, a novel multilingual document representation approach for the task of multilingual document representation and recommendation. The main idea is in creating representations by using mappings to... Read More about Linear Concept Approximation for Multilingual Document Recommendation.