A5040185015- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Anomaly Detection Techniques and Applications
- Stock Market Forecasting Methods
- Web Data Mining and Analysis
- Data Quality and Management
- Cybercrime and Law Enforcement Studies
- Advanced Malware Detection Techniques
- Complex Network Analysis Techniques
- Bayesian Modeling and Causal Inference
- Discourse Analysis in Language Studies
- Fault Detection and Control Systems
- Risk and Safety Analysis
- Advanced Neural Network Applications
- Advanced Database Systems and Queries
- Data Mining Algorithms and Applications
- Machine Learning in Bioinformatics
- Financial Markets and Investment Strategies
- Service-Oriented Architecture and Web Services
- Rough Sets and Fuzzy Logic
- Scientific Computing and Data Management
- Protein Structure and Dynamics
Liverpool Hope University
2022-2024
Rothamsted Research
2024
INESC TEC
2019-2024
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2009-2022
Gold Coast Hospital
2022
Ollscoil na Gaillimhe – University of Galway
2017-2021
Universidade de São Paulo
2011-2017
University of Beira Interior
2011
Institute for Systems Engineering and Computers
2011
Instituto Politécnico de Tomar
2011
Semantic web technologies have become a popular technique to apply meaning unstructured data. They been infrequently applied problems within the agricultural domain when compared complementary domains. Despite this lack of application, agriculture has large number semantic resources that developed by NGOs such as Food and Agriculture Organization (FAO). This survey is intended motivate further research in application for problems, making available self contained reference provides:...
Climate change has driven agriculture to alter farming methods for food production. This paper presents a new concept monitoring, acquisition, management, analysis, and synthesis of ecological data, which captures the environmental determinants direct gradients suited particular requirement specific plant cultivation sustainable agriculture. The purpose this study is investigate smart seablite system. A novel digital agricultural method was developed applied digitised cultivation. Machine...
Abstract Causationin written natural language can express a strong relationship between events and facts. Causation in the form be referred to as causal relation where cause event entails occurrence of an effect event. A is stronger than correlation events, therefore aggregated relations extracted from large corpora used numerous applications such question-answering summarisation produce superior results traditional approaches. Techniques like logical consequence allow niche practical...
The analysis of business/financial news has become a popular area research because the possibility to infer future prospects companies, economies and economic actors in general on information contained media. classical approaches rely upon coarse polarity classification story, however this may not be an optimal solution form assigns same all entities story. A story which contains multiple contain varying for each individual entity. In addition,coarse ignore sentiment modifiers alter strength...
This survey aimed to acquire and generate significant information on coffee cultivation in high low elevations support agriculture during climate change. dataset helps understand highland lowland areas with diverse climates environmental conditions for researchers use this data improve production techniques. In the business scope, provides a critical vision value proposition of maintain conservation wealth creation chain. Similarly, chains can as an example assess sustainability carbon...
Sugarcane is an important product to the Brazilian economy because it primary ingredient of ethanol which used as a gasoline substitute. affected by many factors can be modelled in Bayesian Graph. This paper describes technique build Causal Network from information news stories. The technique: extracts causal relations stories, converts them into event graph, removes irrelevant information, solves structure problems, and clusters graph topic distribution. Finally, method for generating...
The multilevel graph partitioning strategy aims to reduce the computational cost of algorithm by applying it on a coarsened version original graph. This is very useful when large-scale networks are analyzed. To improve solution, refinement algorithms have been used in uncorsening phase. Typical exploit network properties, for example minimum cut or modularity, but they do not features from domain specific networks. For instance, social partitions with high clustering coefficient similarity...
Disulfide bonds provide an inexhaustible source of information on molecular evolution and biological specificity. In this work, we described the amino acid composition around disulfide in a set disulfide-rich proteins using appropriate descriptors, based ANOVA (for all twenty natural acids or classes clustered according to their chemical similarities) Scheffé superfamilies) statistics. We found that weakly hydrophilic aromatic are quite abundant regions bonds, contrary aliphatic hydrophobic...
Accidents and attacks that involve chemical, biological, radiological/nuclear or explosive (CBRNE) substances are rare, but can be of high consequence. Since the investigation such events is not anybody's routine work, a range AI techniques reduce investigators' cognitive load support decision-making, including: planning assessment scene; ongoing evaluation updating risks; control autonomous vehicles for collecting images sensor data; reviewing images/videos items interest; identification...