Takashi Michikata

Orcid: 0000-0003-2133-5953

According to our database1, Takashi Michikata authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
K-neighboring on Multi-weighted Graphs for Passenger Count Prediction on Railway Networks.
J. Inf. Process., 2024

IgnitusTracker: Tracking Bee Flights for Assessing the Activity of Bombus Ignitus Towards Keeping Optimal Pollination Environments.
IEEE Access, 2024

2023
Analyzing the Correlation of People Flow and Sales Using a Large Number of People Counters Installed in a Shopping Complex.
Proceedings of the IEEE International Smart Cities Conference, 2023

Architecture for Privacy-Preserving Greenhouse Gas Emissions Calculation Among Multiple Organizations Using Homomorphic Encryption.
Proceedings of the IEEE International Smart Cities Conference, 2023

Multi-Horizon Visitor Forecasting for a Shopping Mall with Limited Historical Data Under Covid -19 Pandemic.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Improving Long-Term Traffic Prediction with Online Search Log Data.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Applying Homomoprhic Encryption to Data Spaces Takashi Michikata.
Proceedings of the IEEE International Conference on Big Data, 2023

ITDT: International Testbed for Dataspace Technology.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Wi-Monitor: Wi-Fi Channel State Information-Based Crowd Counting with Lightweight and Low-Cost IoT Devices.
Proceedings of the Internet of Things, 2022

Detecting Door Operations Using Wearable Devices.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

Multi-weighted Graphs Learning for Passenger Count Prediction on Railway Network.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Traffic Congestion Prediction Using Toll and Route Search Log Data.
Proceedings of the IEEE International Conference on Big Data, 2022


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