Pano UMECHIKA: A Crowded Underground City Panoramic View System. - Ismail Arai; Maiya Hori; Norihiko Kawai; Yohei Abe; Masahiro Ichikawa; Yusuke Satonaka; Tatsuki Nitta; Tomoyuki Nitta; Harumitsu Fujii; Masaki Mukai; Soichiro Horimi; Koji Makita; et al. (DCAI, 2010)

A safety assessment system for sidewalks at night utilizing smartphones' light sensors. - Yuki Matsuda 001; Ismail Arai (UbiComp Adjunct, 2014)

WaistonBelt: a belt for monitoring your real abdominal circumference forever. - Yuki Matsuda 001; Takashi Hasegawa; Keiichiro Iwanami; Naoya Saito; Takuya Ishioka; Ismail Arai; Yutaka Arakawa; Keiichi Yasumoto (UbiComp/ISWC Adjunct, 2015)

A tree style visualization method for cell divisions of embryos. - Kiri Nakata; Tsuyoshi Tatsukawa; Ismail Arai (SIGGRAPH Asia Visualization in High Performance Computing, 2015)

Waistonbelt 2: a belt-type wearable device for monitoring abdominal circumference, posture and activity. - Yuki Matsuda 001; Takashi Hasegawa; Ismail Arai; Yutaka Arakawa; Keiichi Yasumoto (ICMU, 2016)

Proposal of classification method of bus operation states using sensor data. - Takuya Yonezawa; Ismail Arai; Toyokazu Akiyama; Kazutoshi Fujikawa (IEEE BigData, 2017)

Proposal of hardware device model for IoT endpoint security and its implementation. - Ryota Jinnai; Atsuo Inomata; Ismail Arai; Kazutoshi Fujikawa (PerCom Workshops, 2017)

Proposal of a Method for Estimating the Number of Passengers with Using Drive Recorder and Sensors Equipped in Buses. - Hayato Nakashima; Ismail Arai; Kazutoshi Fujikawa (IEEE BigData, 2018)

Random Forest Based Bus Operation States Classification Using Vehicle Sensor Data. - Takuya Yonezawa; Ismail Arai; Toyokazu Akiyama; Kazutoshi Fujikawa (PerCom Workshops, 2018)

Passenger Counter Based on Random Forest Regressor Using Drive Recorder and Sensors in Buses. - Hayato Nakashima; Ismail Arai; Kazutoshi Fujikawa (PerCom Workshops, 2019)

Divider: Delay-Time Based Sender Identification in Automotive Networks. - Shuji Ohira; Araya Kibrom Desta; Tomoya Kitagawa; Ismail Arai; Kazutoshi Fujikawa (COMPSAC, 2020)

Reducing Tail Latency In Cassandra Cluster Using Regression Based Replica Selection Algorithm. - Euclides Chauque; Ismail Arai; Kazutoshi Fujikawa (GCAIoT, 2020)

MLIDS: Handling Raw High-Dimensional CAN Bus Data Using Long Short-Term Memory Networks for Intrusion Detection in In-Vehicle Networks. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (ITNAC, 2020)

ID Sequence Analysis for Intrusion Detection in the CAN bus using Long Short Term Memory Networks. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (PerCom Workshops, 2020)

A Framework for Transit Monitoring System Using IoT Technology: Two Case Studies. - Samy El-Tawab; Ismail Arai; Ahmad Salman; B. Brian Park (PerCom Workshops, 2020)

A performance investigation of thermal infrared camera and optical camera for searching victims with an unmanned aerial vehicle: poster abstract. - Koji Harada; Ismail Arai; Shigeru Kashihara; Kazutoshi Fujikawa (SenSys, 2020)

DOCOR: Sensing Everything From Route Buses. - Ismail Arai; Masahiro Kametani; Norihiko Honda; Toyokazu Akiyama (WF-IoT, 2020)

Normal and Malicious Sliding Windows Similarity Analysis Method for Fast and Accurate IDS Against DoS Attacks on In-Vehicle Networks. - Shuji Ohira; Araya Kibrom Desta; Ismail Arai; Hiroyuki Inoue; Kazutoshi Fujikawa (IEEE Access, 2020)

Long Short-Term Memory Networks for In-Vehicle Networks Intrusion Detection Using Reverse Engineered Automotive Packets. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (J. Inf. Process., 2020)

PLI-TDC: Super Fine Delay-Time Based Physical-Layer Identification with Time-to-Digital Converter for In-Vehicle Networks. - Shuji Ohira; Araya Kibrom Desta; Ismail Arai; Kazutoshi Fujikawa (AsiaCCS, 2021)

The Effect of COVID-19 on the Transit System in Two Regions: Japan and USA. - Ismail Arai; Samy El-Tawab; Ahmad Salman; Ahmed Elnoshokaty (GCAIoT, 2021)

Leveraging IoT and Weather Conditions to Estimate the Riders Waiting for the Bus Transit on Campus. - Ismail Arai; Ahmed Elnoshokaty; Samy El-Tawab (PerCom Workshops, 2021)

DataLoc+: A Data Augmentation Technique for Machine Learning in Room-Level Indoor Localization. - Amr Hilal; Ismail Arai; Samy El-Tawab (WCNC, 2021)

U-CAN: A Convolutional Neural Network Based Intrusion Detection for Controller Area Networks. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (COMPSAC, 2022)

Lightweight Intrusion Detection Using Multiple Entropies of Traffic Behavior in IoT Networks. - Yusei Katsura; Arata Endo; Masatoshi Kakiuchi; Ismail Arai; Kazutoshi Fujikawa (GCAIoT, 2022)

Origin Destination Estimation Carrying Over Rolling Proximity Identifiers with RSSI. - Masato Kawashima; Ismail Arai; Arata Endo; Masatoshi Kakiuchi; Kazutoshi Fujikawa (GCAIoT, 2022)

Feasibility Study of Magnetism-based Indoor Positioning Methods in an Incineration Plant. - Rei Okumura; Ismail Arai; Yutaro Atarashi; Kaoru Kawabata; Kazutoshi Fujikawa (PerCom Workshops, 2022)

Transit System Prediction for Real-time Weather Conditions: Fleet Management and Weather-related Ridership. - Ahmed Elnoshokaty; Ismail Arai; Samy El-Tawab; Ahmad Salman (SM, 2022)

Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots. - Araya Kibrom Desta; Shuji Ohira; Ismail Arai; Kazutoshi Fujikawa (Veh. Commun., 2022)

IVNPROTECT: Isolable and Traceable Lightweight CAN-Bus Kernel-Level Protection for Securing in-Vehicle Communication. - Shuji Ohira; Araya Kibrom Desta; Ismail Arai; Kazutoshi Fujikawa (ICISSP, 2023)

Bus Ridership Prediction with Time Section, Weather, and Ridership Trend Aware Multiple LSTM. - Tatsuya Yamamura; Ismail Arai; Masatoshi Kakiuchi; Arata Endo; Kazutoshi Fujikawa (PerCom Workshops, 2023)

Benchmark of Deep Learning Visual and Far-Infrared Videos Toward Weather-tolerant Pedestrian Traffic Monitoring. - Takumi Fukuda; Ismail Arai; Arata Endo; Masatoshi Kakiuchi; Kazutoshi Fujikawa (SM, 2023)

Improving Bus Arrival Time Prediction Accuracy with Daily Periodic Based Transportation Data Imputation. - Takumi Niwa; Ismail Arai; Arata Endo; Masatoshi Kakiuchi; Kazutoshi Fujikawa (SM, 2023)

Foreword. - Ismail Arai (IEICE Trans. Inf. Syst., 2023)

Assessing Initial Attacks and Defense with Retry Function in MQTT Over QUIC. - Shin Hitomi; Ismail Arai; Arata Endo; Masatoshi Kakiuchi; Kazutoshi Fujikawa (COMPSAC, 2024)

Performance Evaluation of Fingerprint-Based Indoor Positioning Using RSSI in 802.11ah. - Takuya Matsunaga; Ismail Arai; Yutaro Atarashi; Arata Endo; Kazutoshi Fujikawa (IPIN, 2024)

Developing Dense Wireless Signal and Magnetic Field Mapping Tool. - Takuya Matsunaga; Ismail Arai; Yutaro Atarashi; Masaki Sanada; Arata Endo; Masatoshi Kakiuchi; Kazutoshi Fujikawa (PerCom Workshops, 2024)

Analysis for Automatic Extraction of Uncomfortable Driving by Constant Observation of Route Buses Using Anonymous Sensors. - Toyokazu Akiyama; Naoki Matsuo; Ismail Arai; Hiroshi Yamamoto (SM, 2024)

Enhanced Pedestrian Detection Model Transfer-Trained on YOLOv8 Using DenseFused RGB and FIR Images. - Arata Yoshihara; Ismail Arai; Arata Endo; Masatoshi Kakiuchi; Kazutoshi Fujikawa (SMARTCOMP, 2024)

Forecasting Road Traffic Volume Using Temporal-Only Time Series Models. - Araya Kibrom Desta; Ismail Arai (PerCom Workshops, 2025)

Efficient IDS for IoT Networks Using Host-Based Data Aggregation and Multi-Entropy Analysis. - Yusei Katsura; Arata Endo; Ismail Arai; Kazutoshi Fujikawa (IEEE Access, 2025)