PQRS: Prediction of Applications Based on Cellular Network Traffic with Consideration of SNS Notification. - Michiki Hara; Masaru Onodera; Joe Ohara; Takumi Kondo; Kizito Nkurikiyeyezu; Guillaume Lopez; Hiroki Ishizuka; Yoshito Tobe (UbiComp/ISWC Adjunct, 2018)

Toward a Real-Time and Physiologically Controlled Thermal Comfort Provision in Office Buildings. - Kizito Nkurikiyeyezu; Guillaume Lopez (Intelligent Environments (Workshops), 2018)

Smartphone Application Usage Prediction Using Cellular Network Traffic. - Naoto Mizumura; Kizito Nkurikiyeyezu; Hiroki Ishizuka; Guillaume Lopez; Yoshito Tobe (PerCom Workshops, 2018)

Development and Evaluation of a Low-Energy Consumption Wearable Wrist Warming Device. - Guillaume Lopez; Takahiro Tokuda; Manami Oshima; Kizito Nkurikiyeyezu; Naoya Isoyama; Kiyoshi Itao (Int. J. Autom. Technol., 2018)

Heart rate variability as a predictive biomarker of thermal comfort. - Kizito Nkurikiyeyezu; Yuta Suzuki; Guillaume Lopez (J. Ambient Intell. Humaniz. Comput., 2018)

Affect-aware thermal comfort provision in intelligent buildings. - Kizito Nkurikiyeyezu; Anna Yokokubo; Guillaume Lopez (ACII Workshops, 2019)

Thermal Comfort and Stress Recognition in Office Environment. - Kizito Nkurikiyeyezu; Kana Shoji; Anna Yokokubo; Guillaume Lopez (HEALTHINF, 2019)

Importance of Individual Differences in Physiological-Based Stress Recognition Models. - Kizito Nkurikiyeyezu; Anna Yokokubo; Guillaume Lopez (Intelligent Environments, 2019)

An efficient thermal comfort delivery in workplaces. - Kizito Nkurikiyeyezu (PerCom Workshops, 2019)

The Influence of Person-Specific Biometrics in Improving Generic Stress Predictive Models. - Kizito Nkurikiyeyezu; Anna Yokokubo; Guillaume Lopez (CoRR, 2019)

Classification of Eating Behaviors in Unconstrained Environments. - Kizito Nkurikiyeyezu; Haruka Kamachi; Takumi Kondo; Archit Jain; Anna Yokokubo; Guillaume Lopez (BIOSTEC (Selected Papers), 2020)

Model for Thermal Comfort and Energy Saving Based on Individual Sensation Estimation. - Guillaume Lopez; Takuya Aoki; Kizito Nkurikiyeyezu; Anna Yokokubo (CoRR, 2020)

ExerSense: Real-Tme Physical Exercise Segmentation, Classification, and Counting Algorithm Using an IMU Sensor. - Shun Ishii; Kizito Nkurikiyeyezu; Anna Yokokubo; Guillaume Lopez (CoRR, 2020)

Offline Prediction of Cholera in Rural Communal Tap Waters Using Edge AI inference. - Marvin Muyonga Ogore; Kizito Nkurikiyeyezu; Jimmy Nsenga (GLOBECOM (Workshops), 2021)

Toward the Prediction of Environmental Thermal Comfort Sensation Using Wearables. - Tahera Hossain; Kizito Nkurikiyeyezu; Yusuke Kawasaki; Guillaume Lopez (Intelligent Environments (Workshops), 2022)

Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale. - Aurore Nishimwe; Charles Ruranga; Clarisse Musanabaganwa; Regine Mugeni; Muhammed Semakula; Joseph Nzabanita; Ignace H. Kabano; Annie Uwimana; Jean N. Utumatwishima; Jean Damascene Kabakambira; Annette Uwineza; Lars Halvorsen; et al. (BMC Medical Informatics Decis. Mak., 2022)

Correlation Analysis Model of Environment Parameters Using IoT Framework in a Biogas Energy Generation Context. - Angelique Mukasine; Louis Sibomana; Kayalvizhi Jayavel; Kizito Nkurikiyeyezu; Eric Hitimana (Future Internet, 2023)

State-of-the-Art Deep Learning Algorithms for Internet of Things-Based Detection of Crop Pests and Diseases: A Comprehensive Review. - Jean Pierre Nyakuri; Celestin Nkundineza; Omar Gatera; Kizito Nkurikiyeyezu (IEEE Access, 2024)

Tiny-MobileNet-SE: A Hybrid Lightweight CNN Architecture for Resource-Constrained IoT Devices. - Jean Pierre Nyakuri; Celestin Nkundineza; Omar Gatera; Kizito Nkurikiyeyezu (IEEE Access, 2025)