A5102991530- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Bioinformatics and Genomic Networks
- Data Quality and Management
- Privacy-Preserving Technologies in Data
- Single-cell and spatial transcriptomics
- Environmental Monitoring and Data Management
- Advanced Database Systems and Queries
- Gene expression and cancer classification
- Cryptography and Data Security
- Business Process Modeling and Analysis
- Service-Oriented Architecture and Web Services
- Perfectionism, Procrastination, Anxiety Studies
- Stochastic Gradient Optimization Techniques
- Advanced Neural Network Applications
- Ferroptosis and cancer prognosis
- Chronic Disease Management Strategies
- Electronic Health Records Systems
- Genomics and Phylogenetic Studies
- Obesity, Physical Activity, Diet
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
- Blockchain Technology Applications and Security
- Caching and Content Delivery
- Internet Traffic Analysis and Secure E-voting
University of Derby
2024
NED University of Engineering and Technology
2022
Bahauddin Zakariya University
2022
Ollscoil na Gaillimhe – University of Galway
2013-2017
University of Delhi
2015
University of Kaiserslautern
2013-2014
Daimler (Germany)
2013
Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these is tightly controlled by stakeholders; consequently, privacy a major concern when federating queries over such datasets. In the Healthcare Life Sciences (HCLS) domain real-world datasets contain statistical information: strict ownership granted individuals working hospitals, research labs, clinical trial organisers, etc....
Next Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing massive amount of sequencing datasets. Often, these datasets published from isolated different facilities. Consequently, process sharing aggregating multisite thwarted by issues such as need to discover relevant data sources, built scalable repositories, automation linkage, volume data, efficient querying mechanism, information rich...
A significant portion of the LOD cloud consists Life Sciences data sets, which together contain billions clinical facts that interlink to form a "Web Clinical Data". However, tools for new publishers find relevant datasets could potentially be linked are missing, particularly in specialist domain-specific settings. Based on set keywords extracted from local dataset, this paper proposes methods automatically identify public SPARQL endpoints list candidates.
The dynamicity of sensor data sources and publishing real-time over a generalised infrastructure like the Web pose new set integration challenges. Semantic Sensor Networks demand excessive expressivity for efficient formal analysis data. This article specifically addresses problem adapting model specific or context-specific properties in automatic generation multidimensional cubes. idea is to generate cubes on-the-fly from syntactic sustain decision making, event processing publish this as...
Biosimulation models have been recently introduced to understand the exact causative factors that give rise impairment in human organs. Finite Element Method (FEM) provides a mathematical framework simulate dynamic biological systems, with applications ranging from ear, cardiovascular, neurovascular research. Due lack of well-integrated data infrastructure, steps involved execution and comparative evaluation large (FE) simulations are time consuming performed isolated environments. In this...
The LOD cloud comprises of billions facts covering hundreds datasets. In accordance with the Linked Data principles, these datasets are connected by a variety typed links, forming an interlinked "Web Data". growing diversity Web makes it more and challenging for publishers to find relevant that could be linked to, particularly in specialist domain-specific settings. This paper thus proposes baseline method automatically identify list public SPARQL endpoints whose content is deemed local...
Healthcare experts have recently turned towards the use of Biosimulation models to understand multiple or different causative factors that cause impairment in human organs. The applications biosimulations been applied biological systems ranging from ear, cardiovascular, neurovascular research using Finite Element Method (FEM). FEM provide a mathematical framework simulate these dynamic systems. Visualizing and analyzing huge amounts (FE) numerical data is strenuous task. In this paper, we...
Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework simulate dynamic biological systems, with applications ranging from ear, cardiovascular, neurovascular research. (FE) experiments produce huge amounts of numerical data. Visualizing and analyzing this biosimulation data is strenuous task. In paper, we present Linked Data Visualiser - called SIFEM help...
Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework simulate dynamic biological systems, with applications ranging from ear, cardiovascular, neurovascular research. (FE) experiments produce huge amounts of numerical data. Visualising and analysing this biosimulation data is strenuous task. In paper, we present Linked Data Visualiser–called SIFEM...
This paper performs the sentiment analysis on tweets and social media posts of general people Pakistan about one Pakistan’s political party i.e. Democratic Movement (PDM). PDM is a movement comprised 11 parties founded against current government Pakistan. focus analyzing sentiments common Pakistanis towards PDM. Sentiment also called opinion mining or text mining. It way to find out public their reaction particular entity topic. In proposed system, data extracted from Facebook using instant...
The inner ear is physically inaccessible in living humans, which leads to unique difficulties studying its normal function and pathology as other human organs. Recently, biosimulation model has gained a significant attention understand the exact causative factors that give rise impairment However, build for organ concepts their topological relationships from multiple semantically overlapping domains such biology, anatomy, geometrical, mathematical, physical models are required. In this...