What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- Telecommunications
His main research concerns Wireless, Embedded system, Wireless sensor network, Signal processing and Key distribution in wireless sensor networks.
His study in Wireless is interdisciplinary in nature, drawing from both Link protection, Communication channel and Algorithm.
His biological study spans a wide range of topics, including Intelligent decision support system, Internet access, IVMS and Reconfigurability.
His Wireless sensor network study combines topics from a wide range of disciplines, such as Real-time computing and Distributed computing.
Gregory J. Pottie usually deals with Signal processing and limits it to topics linked to CMOS and Variety.
His Key distribution in wireless sensor networks research is multidisciplinary, incorporating elements of Wi-Fi array and Computer network.
His most cited work include:
- Wireless integrated network sensors (3031 citations)
- Protocols for self-organization of a wireless sensor network (1957 citations)
- Instrumenting the world with wireless sensor networks (1097 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Wireless, Wireless sensor network, Computer network, Communication channel and Electronic engineering.
As a part of the same scientific family, Gregory J. Pottie mostly works in the field of Wireless, focusing on Embedded system and, on occasion, Internet access and The Internet.
As a part of the same scientific study, he usually deals with the Internet access, concentrating on Intelligent decision support system and frequently concerns with Reconfigurability.
Gregory J. Pottie has researched Wireless sensor network in several fields, including Distributed computing, Key distribution in wireless sensor networks, Wireless network, Real-time computing and Sensor fusion.
His Heterogeneous network research extends to the thematically linked field of Key distribution in wireless sensor networks.
Much of his study explores Computer network relationship to Power control.
He most often published in these fields:
- Wireless (27.83%)
- Wireless sensor network (27.39%)
- Computer network (21.74%)
What were the highlights of his more recent work (between 2010-2020)?
- Communication channel (15.65%)
- Artificial intelligence (6.09%)
- Computer vision (3.48%)
In recent papers he was focusing on the following fields of study:
Gregory J. Pottie spends much of his time researching Communication channel, Artificial intelligence, Computer vision, Algorithm and Decoding methods.
He combines subjects such as Interference, Resource allocation, Mathematical optimization and Throughput with his study of Communication channel.
His Artificial intelligence research also works with subjects such as
- Machine learning and related Wireless sensor network and Feature extraction,
- Wearable computer that intertwine with fields like Data processing, Gyroscope, Signal processing and Key.
He has included themes like Wireless, Workspace and Task in his Wireless sensor network study.
His research on Wireless focuses in particular on Wireless network.
His work in the fields of Algorithm, such as Channel code, intersects with other areas such as Information theory.
Between 2010 and 2020, his most popular works were:
- Method for vehicle internetworks (207 citations)
- On the Maximum Achievable Sum-Rate With Successive Decoding in Interference Channels (36 citations)
- A universal hybrid decision tree classifier design for human activity classification (25 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- Artificial intelligence
Communication channel, Decoding methods, Artificial intelligence, Algorithm and Software are his primary areas of study.
The study incorporates disciplines such as Transmitter, Mobile ad hoc network, Covariance matrix and Real-time computing in addition to Communication channel.
His work on Channel code as part of his general Algorithm study is frequently connected to Information theory, thereby bridging the divide between different branches of science.
His study in Software is interdisciplinary in nature, drawing from both Cross-validation, The Internet, Embedded system, Electronics and IVMS.
His work investigates the relationship between Feature extraction and topics such as Inertial measurement unit that intersect with problems in Wireless sensor network.
While working on this project, Gregory J. Pottie studies both Wireless sensor network and Resource management.
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