What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Machine learning
The scientist’s investigation covers issues in Artificial intelligence, Artificial neural network, Bees algorithm, Manufacturing engineering and Machine learning.
His Artificial intelligence research incorporates themes from Identification and Pattern recognition.
His Artificial neural network study combines topics in areas such as Dynamical system, Control chart and Pattern recognition.
His Bees algorithm research entails a greater understanding of Mathematical optimization.
His Manufacturing engineering study combines topics from a wide range of disciplines, such as Quality, Rapid manufacturing, Grinding and Process.
His Continuous optimization study in the realm of Machine learning connects with subjects such as Multiple Models.
His most cited work include:
- THE BEES ALGORITHM, A NOVEL TOOL FOR COMPLEX OPTIMISATION PROBLEMS (802 citations)
- A comparison of rapid prototyping technologies (626 citations)
- Neural Networks for Identification, Prediction, and Control (406 citations)
What are the main themes of his work throughout his whole career to date?
Duc Truong Pham mainly focuses on Artificial intelligence, Artificial neural network, Bees algorithm, Robot and Manufacturing engineering.
His research investigates the connection with Artificial intelligence and areas like Machine learning which intersect with concerns in Data mining.
In his research, Pattern recognition is intimately related to Control chart, which falls under the overarching field of Artificial neural network.
His studies deal with areas such as Swarm intelligence and Benchmark as well as Bees algorithm.
As part of the same scientific family, Duc Truong Pham usually focuses on Robot, concentrating on Control engineering and intersecting with Control theory.
Many of his studies involve connections with topics such as Process and Manufacturing engineering.
He most often published in these fields:
- Artificial intelligence (30.49%)
- Artificial neural network (13.61%)
- Bees algorithm (13.97%)
What were the highlights of his more recent work (between 2014-2021)?
- Bees algorithm (13.97%)
- Robot (10.89%)
- Remanufacturing (3.81%)
In recent papers he was focusing on the following fields of study:
Duc Truong Pham focuses on Bees algorithm, Robot, Remanufacturing, Mathematical optimization and Manufacturing engineering.
His Bees algorithm research is within the category of Artificial intelligence.
His Artificial intelligence study integrates concerns from other disciplines, such as Control chart, Identification, Natural language processing, Machine learning and Pattern recognition.
The Robot study combines topics in areas such as Control engineering, Line balancing and Automation.
The study incorporates disciplines such as Line and Benchmark in addition to Mathematical optimization.
His research in Manufacturing engineering intersects with topics in Energy consumption and Process.
Between 2014 and 2021, his most popular works were:
- Self-healing composites : a review (65 citations)
- Cost models of additive manufacturing: A literature review (60 citations)
- Combining feed-in tariffs and net-metering schemes to balance development in adoption of photovoltaic energy: Comparative economic assessment and policy implications for European countries (56 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Machine learning
Duc Truong Pham mainly focuses on Bees algorithm, Remanufacturing, Manufacturing engineering, Mathematical optimization and Energy consumption.
His research integrates issues of Continuous type, Variable neighborhood search, Process and Analytic network process in his study of Bees algorithm.
His study looks at the relationship between Manufacturing engineering and topics such as Process, which overlap with Association rule learning, Industrial robot, System dynamics and Relation.
Duc Truong Pham has researched Mathematical optimization in several fields, including Single-machine scheduling and Crossover.
His Cloud robotics study results in a more complete grasp of Artificial intelligence.
His studies in Artificial intelligence integrate themes in fields like Value and Control theory.
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