A5056157061- Semantic Web and Ontologies
- Context-Aware Activity Recognition Systems
- Time Series Analysis and Forecasting
- Dementia and Cognitive Impairment Research
- IoT and Edge/Fog Computing
- Service-Oriented Architecture and Web Services
- Data Management and Algorithms
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning in Healthcare
- Human Mobility and Location-Based Analysis
- Sleep and related disorders
- Geriatric Care and Nursing Homes
- Video Analysis and Summarization
- Energy Efficient Wireless Sensor Networks
- Advanced Database Systems and Queries
- Advanced Text Analysis Techniques
- Multimedia Communication and Technology
- Big Data and Business Intelligence
- Data Quality and Management
- Mental Health Research Topics
- Topic Modeling
- Social Robot Interaction and HRI
- Domain Adaptation and Few-Shot Learning
- Smart Cities and Technologies
Imperial College London
2020-2025
UK Dementia Research Institute
2019-2025
Great Ormond Street Hospital for Children NHS Foundation Trust
2024-2025
Great Ormond Street Hospital
2024
University College London
2024
University of Surrey
2015-2024
Surrey and Borders Partnership NHS Foundation Trust
2024
Technology Centre Prague
2024
Bioengineering (Switzerland)
2022
University of California, San Francisco
2021
The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations — the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. can in terms of capabilities, measurement processes, deployments. This article describes ontology. It further gives example use recent research projects.
Rapid developments in hardware, software, and communication technologies have allowed the emergence of Internet-connected sensory devices that provide observation data measurement from physical world. By 2020, it is estimated total number being used will be between 25 50 billion. As numbers grow become more mature, volume published increase. technology, referred to as Internet Things (IoT), continues extend current by providing connectivity interaction cyber worlds. In addition increased...
The Internet of Things (IoT) has recently received considerable interest from both academia and industry that are working on technologies to develop the future Internet. It is a joint complex discipline requires synergetic efforts several communities such as telecommunication industry, device manufacturers, semantic Web, informatics engineering. Much IoT initiative supported by capabilities manufacturing low-cost energy-efficient hardware for devices with communication capacities, maturity...
Our world and our lives are changing in many ways. Communication, networking, computing technologies among the most influential enablers that shape today. Digital data connected worlds of physical objects, people, devices rapidly way we work, travel, socialize, interact with surroundings, they have a profound impact on different domains, such as healthcare, environmental monitoring, urban systems, control management applications, several other areas. Cities currently face an increasing...
Over the past few years semantics community has developed ontologies to describe concepts, relationships between different entities in various application domains, including Internet of Things (IoT) applications. A key problem is that most IoT related semantic descriptions are not as widely adopted expected. One main concerns users, developers techniques increase complexity, processing time, therefore they unsuitable for dynamic, responsive environments such IoT. To address this concern, we...
As COVID-19 hounds the world, common cause of finding a swift solution to manage pandemic has brought together researchers, institutions, governments, and society at large. The Internet Things (IoT), artificial intelligence (AI)-including machine learning (ML) Big Data analytics-as well as Robotics Blockchain, are four decisive areas technological innovation that have been ingenuity harnessed fight this future ones. While these highly interrelated smart connected health technologies cannot...
Probabilistic topic models were originally developed and utilized for document modeling extraction in Information Retrieval. In this paper, we describe a new approach automatic learning of terminological ontologies from text corpus based on such models. our approach, are used as efficient dimension reduction techniques, which able to capture semantic relationships between word-topic topic-document interpreted terms probability distributions. We propose two algorithms using the principle...
Extending the current Internet and providing connection, communication, internetworking between devices physical objects, or "things," is a growing trend that's often referred to as of Things (IoT). Integrating real-world data into Web, with its large repositories data, Web-based interactions humans IoT resources what Web (WoT) stands for. Here, guest editors describe Big Data issues in WoT, discuss challenges extracting actionable knowledge insights from raw sensor introduce theme articles...
The term Internet of Things (IoT) refers to the interaction and communication between billions devices that produce exchange data related real-world objects (i.e. things). Extracting higher level information from raw sensory captured by representing this as machine-interpretable or human-understandable has several interesting applications. Deriving into representations demands mechanisms find, extract, characterize meaningful abstractions data. This then have be presented in a human and/or...
The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL~2 ontology to describe sensors and observations --- the SSN ontology. can in terms of capabilities, measurement processes, deployments. This article describes It further gives example use recent research projects.
The number of people diagnosed with dementia is expected to rise in the coming years. Given that there currently no definite cure for and cost care this condition soars dramatically, slowing decline maintaining independent living are important goals supporting dementia. This paper discusses a study called Technology Integrated Health Management (TIHM). TIHM technology assisted monitoring system uses Internet Things (IoT) enabled solutions continuous their own homes. We have developed machine...
The emergence of the Internet Things (IoT) has led to production huge volumes real-world streaming data. We need effective techniques process IoT data streams and gain insights actionable information from observations measurements. Most existing approaches are application or domain dependent. propose a method which determines how many different clusters can be found in stream based on distribution. After selecting number clusters, we use an online clustering mechanism cluster incoming...
Internet of Things is a generic term that refers to interconnection real-world services which are provided by smart objects and sensors enable interaction with the physical world. Cities also evolving into large interconnected ecosystems in an effort improve sustainability operational efficiency city infrastructure. However, it often difficult perform real-time analysis amount heterogeneous data sensory information various sources. This paper describes framework for semantic annotation...
Abstract Oncology patients undergoing cancer treatment experience an average of fifteen unrelieved symptoms that are highly variable in both their severity and distress. Recent advances Network Analysis (NA) provide a novel approach to gain insights into the complex nature co-occurring symptom clusters identify core symptoms. We present findings from first study used NA examine relationships among 38 common large sample oncology chemotherapy. Using two different models Pairwise Markov Random...
Cities are composed of complex systems with physical, cyber, and social components. Current works on extracting understanding city events mainly rely technology-enabled infrastructure to observe record events. In this work, we propose an approach leverage citizen observations various services, such as traffic, public transport, water supply, weather, sewage, safety, a source We investigate the feasibility using textual streams for from annotated text. formalize problem annotating microblogs...
Federated learning is proposed as an alternative to centralized machine since its client-server structure provides better privacy protection and scalability in real-world applications. In many applications, such smart homes with Internet-of-Things (IoT) devices, local data on clients are generated from different modalities sensory, visual, audio data. Existing federated systems only work a single modality, which limits the of systems. this paper, we propose multimodal semi-supervised...
In the field of medical diagnosis and patient monitoring, effective pattern recognition in neurological time-series data is essential. Traditional methods predominantly based on statistical or probabilistic learning inference often struggle with multivariate, multi-source, state-varying, noisy while also posing privacy risks due to excessive information collection modeling. Furthermore, these overlook critical information, such as distribution points inherent uncertainties. To address...
The Internet extends its reach to the real world through innovations collectively termed of Things (IoT). IoT aims at integrating technologies such as radio frequency identification, wireless sensor and actuator networks (WSANs), networked embedded devices. Recent ideas envision an all encompassing infrastructure that connects physical into digital world: (RWI). European project SENSEI plays a leading role within current efforts create underlying architecture services for future realize vision RWI.
The vision of the Internet Things (IoT) relies on provisioning real-world services, which are provided by smart objects that directly related to physical world. A structured, machine-processible approach provision such services is needed make heterogeneous accessible a large scale and integrate them with digital incorporation observation measurement data obtained from Web data, using information processing knowledge engineering methods, enables construction intelligent interconnected things....
Internet of Things (IoT) data services are designed to be available devices and users on request at any time location. Quality, latency, trust, availability, reliability, continuity among the key parameters that impact efficient access use IoT services. However, current service search, discovery, methods solutions more suited for fewer and/or static (or stored) resources. resources differ in terms number complexity amount data. Efficient ranking, selection, access, integration,...
Dementia is a neurological and cognitive condition that affects millions of people around the world. At any given time in United Kingdom, 1 4 hospital beds are occupied by person with dementia, while about 22% these admissions due to preventable causes. In this paper we discuss using Internet Things (IoT) technologies in-home sensory devices combination machine learning techniques monitor health well-being dementia. This will allow us provide more effective preventative care reduce...