What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Artificial intelligence
- Ecology
His primary scientific interests are in Renewable energy, Environmental economics, Artificial intelligence, Segmentation and Energy planning.
His work deals with themes such as Peak demand, Electricity retailing, Demand response and Environmental resource management, which intersect with Renewable energy.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Pattern recognition.
His work in Segmentation addresses issues such as Magnetic resonance imaging, which are connected to fields such as Tumour segmentation.
As a part of the same scientific family, Carlos A. Silva mostly works in the field of Image segmentation, focusing on Brain tumor and, on occasion, Intensity normalization, Scale-space segmentation and Segmentation-based object categorization.
The Benchmark study combines topics in areas such as Data mining, Medical imaging, Set, Cut and Predictive modelling.
His most cited work include:
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (1985 citations)
- Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images (1032 citations)
- Informing network users of television programming viewed by other network users (455 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Renewable energy, Artificial intelligence, Environmental economics, Internal medicine and Endocrinology.
The concepts of his Renewable energy study are interwoven with issues in Electricity, Demand response, Environmental resource management, Natural resource economics and Fossil fuel.
Demand response is frequently linked to Peak demand in his study.
His Artificial intelligence study combines topics in areas such as Magnetic resonance imaging, Computer vision and Pattern recognition.
Carlos A. Silva works in the field of Internal medicine, focusing on Heart rate in particular.
His study in Glycogen and Soleus muscle is carried out as part of his studies in Endocrinology.
He most often published in these fields:
- Renewable energy (12.59%)
- Artificial intelligence (10.45%)
- Environmental economics (9.98%)
What were the highlights of his more recent work (between 2018-2021)?
- Environmental economics (9.98%)
- Artificial intelligence (10.45%)
- Renewable energy (12.59%)
In recent papers he was focusing on the following fields of study:
Carlos A. Silva mainly investigates Environmental economics, Artificial intelligence, Renewable energy, Pattern recognition and Electricity.
His Environmental economics research is multidisciplinary, incorporating elements of Photovoltaic system and Energy system.
In general Artificial intelligence, his work in Deep learning is often linked to Neuroimaging linking many areas of study.
His research in Renewable energy tackles topics such as Electric power system which are related to areas like Energy storage.
Segmentation and Image segmentation are among the areas of Pattern recognition where Carlos A. Silva concentrates his study.
His work carried out in the field of Electricity brings together such families of science as Natural resource economics and Investment.
Between 2018 and 2021, his most popular works were:
- The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography (82 citations)
- Overview of the JET preparation for deuterium–tritium operation with the ITER like-wall (35 citations)
- On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities (28 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Artificial intelligence
- Ecology
The scientist’s investigation covers issues in Environmental economics, Nuclear engineering, Jet, Electricity and Tokamak.
Carlos A. Silva works mostly in the field of Environmental economics, limiting it down to concerns involving Net present value and, occasionally, Peak demand.
His work in Peak demand covers topics such as Cluster analysis which are related to areas like Renewable energy.
The various areas that Carlos A. Silva examines in his Nuclear engineering study include Neutron, Nuclear fusion and Divertor.
His Electricity study integrates concerns from other disciplines, such as Electricity demand, Energy system and Gross domestic product.
Carlos A. Silva works mostly in the field of Tokamak, limiting it down to topics relating to Sawtooth wave and, in certain cases, Plasma.
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