Pedro Valente

ORCID: 0000-0003-2766-909X
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About
Contact & Profiles
Research Areas
  • Modeling, Simulation, and Optimization
  • Context-Aware Activity Recognition Systems
  • Biometric Identification and Security
  • Face recognition and analysis
  • Simulation Techniques and Applications
  • Face and Expression Recognition
  • Digestive system and related health
  • Helicobacter pylori-related gastroenterology studies
  • Logic, Reasoning, and Knowledge
  • Robotics and Automated Systems
  • Multi-Agent Systems and Negotiation
  • Semantic Web and Ontologies
  • Indoor and Outdoor Localization Technologies
  • Vascular Malformations and Hemangiomas
  • Oral and Maxillofacial Pathology
  • Geriatric Care and Nursing Homes
  • Genetic factors in colorectal cancer
  • IoT and Edge/Fog Computing
  • Head and Neck Surgical Oncology
  • Greenhouse Technology and Climate Control
  • Advanced Manufacturing and Logistics Optimization
  • Occupational Health and Safety in Workplaces
  • IoT-based Smart Home Systems
  • Occupational health in dentistry
  • Occupational Health and Burnout

Universidade Portucalense
2018

Universidade do Porto
2007-2014

University of Southern Denmark
2010-2012

Maersk (Denmark)
2010-2012

Intestinal metaplasia (IM), which results from de-novo expression of CDX2, and dysplasia are precursor lesions gastric cancer that associated with an increased risk for development. There is much evidence suggesting a role the transcription factor SOX2 in differentiation. The aim this study was to attempt establish relationship CDX2 differentiation reprogramming characterizes carcinogenesis, assess their involvement IM dysplasia.Characterization (SOX2, MUC5AC, MUC6) intestinal (CDX2 MUC2)...

10.1111/his.12544 article EN Histopathology 2014-09-06

In a recent past, face recognition was one of the most popular methods and successful application image processing field which is widely used in security biometric applications. The innovation new approaches to identification technologies continuously subject building much strong algorithms. Face real-time applications has been fast-growing challenging interesting. human process not trivial task especially different lighting poses are captured be matched. this study, proposed method tested...

10.25007/ajnu.v7n4a266 article EN cc-by-nc-nd Academic Journal of Nawroz University 2018-12-08

In a recent past, face recognition was one of the most popular methods and successful application image processing field which is widely used in security biometric applications. The innovation new approaches to identification technologies continuously subject building much strong algorithms. Face real-time applications has been fast-growing challenging interesting. human process not trivial task especially different lighting poses are captured be matched. this study, proposed method tested...

10.25007/ajnu.v6n4a266 article EN cc-by-nc-nd Academic Journal of Nawroz University 2018-12-01
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