Rakiba Rayhana

23 papers B 1C 2Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
CrossRanker: Cross-dimensional vessel signals fusion for destination prediction.
Eng. Appl. Artif. Intell.
Chengkai Zhang, Rakiba Rayhana, Ling Bai, Zheng Liu
2025 J jnl
LSDC-RC-RAPID: An Improved Probabilistic Reconstruction Approach for Pipeline Corrosion Detection With UGWT.
IEEE Trans. Instrum. Meas.
Jiatong Ling, Rakiba Rayhana, Zheng Liu, Min Liao, Chunsheng Yang, Andreas Schnabel, Robert Neubeck, Christian Wunderlich
2025 J jnl
Multiserver Federated Learning for Building Energy Prediction With Wind Speed.
IEEE Trans. Instrum. Meas.
Rui Wang, Yanshuo Fan, Hongguang Yun, Rakiba Rayhana, Ling Bai, Zheng Liu
2025 J jnl
ViFusionTST: Deep Fusion of Time-Series Image Representations from Load Signals for Early Bed-Exit Prediction.
CoRR
Hao Liu, Yu Hu, Rakiba Rayhana, Ling Bai, Zheng Liu
2024 C conf
Digital Twin for Industrial Asset Management: A Case Study for Pipeline Maintenance.
IECON
Ling Bai, Rakiba Rayhana, Jiatong Ling, Teng Wang, Zheng Liu, Andreas Schnabel, Chunsheng Yang, Min Liao
2024 C conf
Distributed Predictive Maintenance through Edge Computing.
INDIN
Rakiba Rayhana, Hongguang Yun, Teng Wang, Johnson Chen, Yanshuo Fan, Zheng Liu, Wendy Gao
2024 — conf
TAME-Faster R-CNN model for Image-based Tea Diseases Detection.
CCECE
Tiancheng Liu, Ling Bai, Rakiba Rayhana, Xiuguo Zou, Zheng Liu
2024 J jnl
WaveCLR: Contrastive Learning of Guided Wave Representations for Composite Damage Identification.
IEEE Trans. Instrum. Meas.
Hongguang Yun, Rui Wang, Rakiba Rayhana, Shashank Pant, Marc Genest, Zheng Liu
2023 J jnl
A Multidimensional Data Fusion Neural Network for Damage Localization Using Ultrasonic Guided Wave.
IEEE Trans. Instrum. Meas.
Hongguang Yun, Ke Feng, Rakiba Rayhana, Shashank Pant, Marc Genest, Zheng Liu
2023 — conf
Automated Biomass Estimation through Depth Measurement with an OAK-D Camera.
ROSE
Zhenyu Ma, Yue Cao, Rakiba Rayhana, Zheng Liu, Gaozhi George Xiao, Yuefeng Ruan, Jatinder S. Sangha
2023 J jnl
Multi-Scale and Multi-Stream Fusion Network for Pansharpening.
Remote. Sens.
Lihua Jian, Shaowu Wu, Lihui Chen, Gemine Vivone, Rakiba Rayhana, Di Zhang
2023 B conf
Systematic Sensor Data-Driven Analysis Pipeline for Anomaly Monitoring of Bridges and Rails.
SAS
Ling Bai, Rakiba Rayhana, Zheng Liu, Chunsheng Yang, Min Liao, George Xiao
2022 — conf
Industrial Internet of Things (IoT) and 3D Reconstruction Empowered Smart Agriculture System.
IoTaIS
Zhenyu Ma, Rakiba Rayhana, Zheng Liu, Gaozhi George Xiao, Yuefeng Ruan, Jatinder S. Sangha
2022 J jnl
Infrared and Visible Image Fusion Based on Deep Decomposition Network and Saliency Analysis.
IEEE Trans. Multim.
Lihua Jian, Rakiba Rayhana, Ling Ma, Shaowu Wu, Zheng Liu, Huiqin Jiang
2022 J jnl
Real-time embedded system for valve detection in water pipelines.
J. Real Time Image Process.
Rakiba Rayhana, Yutong Jiao, Zheng Liu, Angie Wu, Xiangjie Kong
2021 J jnl
An HRCR-CNN Framework for Automated Security Seal Detection on the Shipping Container.
IEEE Trans. Instrum. Meas.
Zhila Bahrami, Ran Zhang, Rakiba Rayhana, Zheng Liu
2021 J jnl
Automated Vision Systems for Condition Assessment of Sewer and Water Pipelines.
IEEE Trans Autom. Sci. Eng.
Rakiba Rayhana, Yutong Jiao, Amir Hossein Zaji, Zheng Liu
2021 — conf
Environment Prediction to Enhance the Navigation System of Water Pipeline Inspection Platforms.
ISIE
Rakiba Rayhana, Zhila Bahrami, Teng Wang, Zheng Liu, Angie Wu, Xiangjie Kong
2021 J jnl
Printed Sensor Technologies for Monitoring Applications in Smart Farming: A Review.
IEEE Trans. Instrum. Meas.
Rakiba Rayhana, Gaozhi Xiao, Zheng Liu
2021 J jnl
RFID Sensing Technologies for Smart Agriculture.
IEEE Instrum. Meas. Mag.
Rakiba Rayhana, Gaozhi Xiao, Zheng Liu
2021 — conf
Smart Valve Detection System for Water Distribution Networks.
ICIT
Rakiba Rayhana, Yutong Jiao, Zhila Bahrami, Zheng Liu, Angie Wu, Xiangjie Kong
2020 — conf
Optimized Deep Neural Network Architectures with Anchor Box optimization for Shipping Container Corrosion Inspection.
SSCI
Zhila Bahrami, Ran Zhang, Rakiba Rayhana, Teng Wang, Zheng Liu
2019 J jnl
Spectral Efficiency of Energy Harvesting Random Cognitive Radio Networks in Dual-slope Model.
EAI Endorsed Trans. Cogn. Commun.
Saifur Rahman Sabuj, Rakiba Rayhana, Aldrin Nippon Bobby