Rakiba Rayhana

23 papers B 1C 2Journal 14Unranked 6

Year	Rank	Type	Title / 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