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ORCIDIsmail Arai
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2020 – today
- 2024
[c34]Shin Hitomi, Ismail Arai, Arata Endo, Masatoshi Kakiuchi, Kazutoshi Fujikawa:
Assessing Initial Attacks and Defense with Retry Function in MQTT Over QUIC. COMPSAC 2024: 1592-1597- [c33]Takuya Matsunaga
, Ismail Arai, Atarashi Yutaro, Masaki Sanada, Arata Endo, Masatoshi Kakiuchi, Kazutoshi Fujikawa:
Developing Dense Wireless Signal and Magnetic Field Mapping Tool. PerCom Workshops 2024: 370-372 - [c32]Toyokazu Akiyama, Naoki Matsuo, Ismail Arai, Hiroshi Yamamoto:
Analysis for Automatic Extraction of Uncomfortable Driving by Constant Observation of Route Buses Using Anonymous Sensors. SM 2024: 40-47 - [c31]Arata Yoshihara, Ismail Arai, Arata Endo, Masatoshi Kakiuchi, Kazutoshi Fujikawa:
Enhanced Pedestrian Detection Model Transfer-Trained on YOLOv8 Using DenseFused RGB and FIR Images. SMARTCOMP 2024: 246-248 - 2023
- [j4]Ismail Arai:
Foreword. IEICE Trans. Inf. Syst. 106(5): 913 (2023) - [c30]Shuji Ohira, Araya Kibrom Desta, Ismail Arai, Kazutoshi Fujikawa:
IVNPROTECT: Isolable and Traceable Lightweight CAN-Bus Kernel-Level Protection for Securing in-Vehicle Communication. ICISSP 2023: 17-28 - [c29]Tatsuya Yamamura, Ismail Arai, Masatoshi Kakiuchi, Arata Endo, Kazutoshi Fujikawa:
Bus Ridership Prediction with Time Section, Weather, and Ridership Trend Aware Multiple LSTM. PerCom Workshops 2023: 509-514 - [c28]Takumi Fukuda, Ismail Arai, Arata Endo, Masatoshi Kakiuchi, Kazutoshi Fujikawa:
Benchmark of Deep Learning Visual and Far-Infrared Videos Toward Weather-tolerant Pedestrian Traffic Monitoring. SM 2023: 45-50 - [c27]Takumi Niwa, Ismail Arai, Arata Endo, Masatoshi Kakiuchi, Kazutoshi Fujikawa:
Improving Bus Arrival Time Prediction Accuracy with Daily Periodic Based Transportation Data Imputation. SM 2023: 126-131 - [i6]Tatsuya Yamamura, Ismail Arai, Masatoshi Kakiuchi, Arata Endo, Kazutoshi Fujikawa:
Bus Ridership Prediction with Time Section, Weather, and Ridership Trend Aware Multiple LSTM. CoRR abs/2304.08233 (2023) - 2022
- [j3]Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa:
Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots. Veh. Commun. 35: 100470 (2022) - [c26]Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa:
U-CAN: A Convolutional Neural Network Based Intrusion Detection for Controller Area Networks. COMPSAC 2022: 1481-1488 - [c25]Masato Kawashima, Ismail Arai, Arata Endo, Masatoshi Kakiuchi, Kazutoshi Fujikawa:
Origin Destination Estimation Carrying Over Rolling Proximity Identifiers with RSSI. GCAIoT 2022: 7-12 - [c24]Yusei Katsura, Arata Endo, Masatoshi Kakiuchi, Ismail Arai, Kazutoshi Fujikawa:
Lightweight Intrusion Detection Using Multiple Entropies of Traffic Behavior in IoT Networks. GCAIoT 2022: 138-145 - [c23]Rei Okumura, Ismail Arai, Atarashi Yutaro, Kaoru Kawabata, Kazutoshi Fujikawa:
Feasibility Study of Magnetism-based Indoor Positioning Methods in an Incineration Plant. PerCom Workshops 2022: 563-568 - [c22]Ahmed Elnoshokaty, Ismail Arai, Samy El-Tawab, Ahmad Salman:
Transit System Prediction for Real-time Weather Conditions: Fleet Management and Weather-related Ridership. SM 2022: 14-20 - [i5]Rei Okumura, Ismail Arai, Atarashi Yutaro, Kaoru Kawabata, Kazutoshi Fujikawa:
Feasibility Study of Magnetism-based Indoor Positioning Methods in an Incineration Plant. CoRR abs/2203.12952 (2022) - 2021
- [c21]Shuji Ohira, Araya Kibrom Desta, Ismail Arai, Kazutoshi Fujikawa:
PLI-TDC: Super Fine Delay-Time Based Physical-Layer Identification with Time-to-Digital Converter for In-Vehicle Networks. AsiaCCS 2021: 176-186 - [c20]Ismail Arai, Samy El-Tawab, Ahmad Salman, Ahmed Elnoshokaty:
The Effect of COVID-19 on the Transit System in Two Regions: Japan and USA. GCAIoT 2021: 51-56 - [c19]Ismail Arai, Ahmed Elnoshokaty, Samy El-Tawab:
Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus. PerCom Workshops 2021: 552-557 - [c18]Amr Hilal, Ismail Arai, Samy El-Tawab:
DataLoc+: A Data Augmentation Technique for Machine Learning in Room-Level Indoor Localization. WCNC 2021: 1-7 - [i4]Amr E. Hilal, Ismail Arai, Samy El-Tawab:
DataLoc+: A Data Augmentation Technique for Machine Learning in Room-Level Indoor Localization. CoRR abs/2101.10833 (2021) - [i3]Ismail Arai, Ahmed Elnoshokaty, Samy El-Tawab:
Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus. CoRR abs/2102.01364 (2021) - [i2]Ismail Arai, Samy El-Tawab, Ahmad Salman, Ahmed Elnoshokaty:
The Effect of COVID-19 on the Transit System in Two Regions: Japan and USA. CoRR abs/2112.01198 (2021) - 2020
- [j2]Shuji Ohira, Araya Kibrom Desta, Ismail Arai, Hiroyuki Inoue, Kazutoshi Fujikawa:
Normal and Malicious Sliding Windows Similarity Analysis Method for Fast and Accurate IDS Against DoS Attacks on In-Vehicle Networks. IEEE Access 8: 42422-42435 (2020) - [j1]Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa:
Long Short-Term Memory Networks for In-Vehicle Networks Intrusion Detection Using Reverse Engineered Automotive Packets. J. Inf. Process. 28: 611-622 (2020) - [c17]Shuji Ohira, Araya Kibrom Desta, Tomoya Kitagawa, Ismail Arai, Kazutoshi Fujikawa:
Divider: Delay-Time Based Sender Identification in Automotive Networks. COMPSAC 2020: 1490-1497 - [c16]Euclides Chauque, Ismail Arai, Kazutoshi Fujikawa:
Reducing Tail Latency In Cassandra Cluster Using Regression Based Replica Selection Algorithm. GCAIoT 2020: 1-7 - [c15]Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa:
MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks. ITNAC 2020: 1-7 - [c14]Araya Kibrom Desta, Shuji Ohira, Ismail Arai, Kazutoshi Fujikawa:
ID Sequence Analysis for Intrusion Detection in the CAN bus using Long Short Term Memory Networks. PerCom Workshops 2020: 1-6 - [c13]Samy El-Tawab, Ismail Arai, Ahmad Salman, B. Brian Park:
A Framework for Transit Monitoring System Using IoT Technology: Two Case Studies. PerCom Workshops 2020: 1-6 - [c12]Koji Harada, Ismail Arai, Shigeru Kashihara, Kazutoshi Fujikawa:
A performance investigation of thermal infrared camera and optical camera for searching victims with an unmanned aerial vehicle: poster abstract. SenSys 2020: 647-648 - [c11]Ismail Arai, Masahiro Kametani, Norihiko Honda, Toyokazu Akiyama:
DOCOR: Sensing Everything From Route Buses. WF-IoT 2020: 1-2 - [i1]Shuji Ohira, Araya Kibrom Desta, Tomoya Kitagawa, Ismail Arai, Kazutoshi Fujikawa:
Divider: Delay-Time Based Sender Identification in Automotive Networks. CoRR abs/2008.10941 (2020)
2010 – 2019
- 2019
- [c10]Hayato Nakashima, Ismail Arai, Kazutoshi Fujikawa:
Passenger Counter Based on Random Forest Regressor Using Drive Recorder and Sensors in Buses. PerCom Workshops 2019: 561-566 - 2018
- [c9]Hayato Nakashima, Ismail Arai, Kazutoshi Fujikawa:
Proposal of a Method for Estimating the Number of Passengers with Using Drive Recorder and Sensors Equipped in Buses. IEEE BigData 2018: 5396-5398 - [c8]Takuya Yonezawa, Ismail Arai, Toyokazu Akiyama, Kazutoshi Fujikawa:
Random Forest Based Bus Operation States Classification Using Vehicle Sensor Data. PerCom Workshops 2018: 747-752 - 2017
- [c7]Takuya Yonezawa, Ismail Arai, Toyokazu Akiyama, Kazutoshi Fujikawa:
Proposal of classification method of bus operation states using sensor data. IEEE BigData 2017: 4863-4865 - [c6]Ryota Jinnai, Atsuo Inomata, Ismail Arai, Kazutoshi Fujikawa:
Proposal of hardware device model for IoT endpoint security and its implementation. PerCom Workshops 2017: 91-93 - 2016
- [c5]Yuki Matsuda, Takashi Hasegawa, Ismail Arai, Yutaka Arakawa, Keiichi Yasumoto:
Waistonbelt 2: a belt-type wearable device for monitoring abdominal circumference, posture and activity. ICMU 2016: 1-6 - 2015
- [c4]Yuki Matsuda, Takashi Hasegawa, Keiichiro Iwanami, Naoya Saito, Takuya Ishioka, Ismail Arai, Yutaka Arakawa, Keiichi Yasumoto:
WaistonBelt: a belt for monitoring your real abdominal circumference forever. UbiComp/ISWC Adjunct 2015: 329-331 - [c3]Kiri Nakata, Tsuyoshi Tatsukawa, Ismail Arai:
A tree style visualization method for cell divisions of embryos. SIGGRAPH Asia Visualization in High Performance Computing 2015: 19:1-19:2 - 2014
- [c2]Yuki Matsuda, Ismail Arai:
A safety assessment system for sidewalks at night utilizing smartphones' light sensors. UbiComp Adjunct 2014: 115-118 - 2010
- [c1]Ismail Arai, Maiya Hori, Norihiko Kawai, Yohei Abe, Masahiro Ichikawa, Yusuke Satonaka, Tatsuki Nitta, Tomoyuki Nitta, Harumitsu Fujii, Masaki Mukai, Soichiro Horimi, Koji Makita, Masayuki Kanbara, Nobuhiko Nishio, Naokazu Yokoya:
Pano UMECHIKA: A Crowded Underground City Panoramic View System. DCAI 2010: 173-180
Coauthor Index
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last updated on 2024-11-11 22:26 CET by the dblp team
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