What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Telecommunications
His primary scientific interests are in Electronic engineering, Communication channel, Bit error rate, Computer network and Artificial intelligence.
Particularly relevant to Code division multiple access is his body of work in Electronic engineering.
Tomoaki Ohtsuki has included themes like Optical communication and Frequency domain in his Communication channel study.
Tomoaki Ohtsuki interconnects Serial concatenated convolutional codes, Concatenated error correction code, Pulse-position modulation and Decoding methods, Turbo code in the investigation of issues within Bit error rate.
His Computer network research incorporates themes from Q-learning and Throughput.
His work deals with themes such as Computer vision and Natural language processing, which intersect with Artificial intelligence.
His most cited work include:
- A Novel Blockchain-Based Product Ownership Management System (POMS) for Anti-Counterfeits in the Post Supply Chain (177 citations)
- Performance analysis of direct-detection optical asynchronous CDMA systems with double optical hard-limiters (96 citations)
- A Pattern-Based Approach for Sarcasm Detection on Twitter (91 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Electronic engineering, Algorithm, Communication channel, Computer network and Telecommunications.
His biological study spans a wide range of topics, including Transmission, Bit error rate, Orthogonal frequency-division multiplexing and Fading.
As a part of the same scientific study, he usually deals with the Algorithm, concentrating on Real-time computing and frequently concerns with Antenna array.
His research in Communication channel tackles topics such as Pulse-position modulation which are related to areas like Optics.
His study in Computer network is interdisciplinary in nature, drawing from both Cognitive radio, Relay, Throughput and Transmitter power output.
His studies in Telecommunications integrate themes in fields like Optical communication and Interference.
He most often published in these fields:
- Electronic engineering (27.95%)
- Algorithm (27.51%)
- Communication channel (23.29%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (11.50%)
- Algorithm (27.51%)
- Communication channel (23.29%)
In recent papers he was focusing on the following fields of study:
Tomoaki Ohtsuki focuses on Artificial intelligence, Algorithm, Communication channel, Computer network and Pattern recognition.
His Artificial intelligence research is multidisciplinary, relying on both Radar, Signal and Computer vision.
His Algorithm research incorporates elements of Blind signal separation, Feature vector, Precoding, Bit error rate and Robustness.
His research integrates issues of Computational complexity theory, Belief propagation and Interference in his study of Communication channel.
His Computer network study combines topics in areas such as Cognitive radio, Wireless, Transmission and Information sharing.
His Wireless research includes elements of Relay and Transmitter power output.
Between 2016 and 2021, his most popular works were:
- A Novel Blockchain-Based Product Ownership Management System (POMS) for Anti-Counterfeits in the Post Supply Chain (177 citations)
- Hate Speech on Twitter: A Pragmatic Approach to Collect Hateful and Offensive Expressions and Perform Hate Speech Detection (89 citations)
- A Pattern-Based Approach for Multi-Class Sentiment Analysis in Twitter (53 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Telecommunications
Tomoaki Ohtsuki mainly focuses on Computer network, Communication channel, Artificial intelligence, Base station and Computer security.
The concepts of his Computer network study are interwoven with issues in Energy consumption, Transmission, Key and Efficient energy use.
His study on MIMO, Channel state information, Cognitive radio and Nakagami distribution is often connected to Rendezvous problem as part of broader study in Communication channel.
The various areas that Tomoaki Ohtsuki examines in his Artificial intelligence study include Natural language processing, Machine learning and Pattern recognition.
His Base station study combines topics from a wide range of disciplines, such as Cellular network and Heterogeneous network.
His Spectrogram course of study focuses on Doppler radar and Algorithm.
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