Spectral Efficiency of Energy Harvesting Random Cognitive Radio Networks in Dual-slope Model. - Saifur Rahman Sabuj; Rakiba Rayhana; Aldrin Nippon Bobby (EAI Endorsed Trans. Cogn. Commun., 2019)

Optimized Deep Neural Network Architectures with Anchor Box optimization for Shipping Container Corrosion Inspection. - Zhila Bahrami; Ran Zhang 011; Rakiba Rayhana; Teng Wang 002; Zheng Liu 002 (SSCI, 2020)

Smart Valve Detection System for Water Distribution Networks. - Rakiba Rayhana; Yutong Jiao; Zhila Bahrami; Zheng Liu 002; Angie Wu; Xiangjie Kong 003 (ICIT, 2021)

Environment Prediction to Enhance the Navigation System of Water Pipeline Inspection Platforms. - Rakiba Rayhana; Zhila Bahrami; Teng Wang 002; Zheng Liu 002; Angie Wu; Xiangjie Kong 003 (ISIE, 2021)

RFID Sensing Technologies for Smart Agriculture. - Rakiba Rayhana; Gaozhi Xiao 001; Zheng Liu 002 (IEEE Instrum. Meas. Mag., 2021)

Automated Vision Systems for Condition Assessment of Sewer and Water Pipelines. - Rakiba Rayhana; Yutong Jiao; Amir Hossein Zaji; Zheng Liu 002 (IEEE Trans Autom. Sci. Eng., 2021)

An HRCR-CNN Framework for Automated Security Seal Detection on the Shipping Container. - Zhila Bahrami; Ran Zhang 011; Rakiba Rayhana; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2021)

Printed Sensor Technologies for Monitoring Applications in Smart Farming: A Review. - Rakiba Rayhana; Gaozhi Xiao 001; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2021)

Industrial Internet of Things (IoT) and 3D Reconstruction Empowered Smart Agriculture System. - Zhenyu Ma; Rakiba Rayhana; Zheng Liu 002; Gaozhi George Xiao; Yuefeng Ruan; Jatinder S. Sangha (IoTaIS, 2022)

Real-time embedded system for valve detection in water pipelines. - Rakiba Rayhana; Yutong Jiao; Zheng Liu 002; Angie Wu; Xiangjie Kong 003 (J. Real Time Image Process., 2022)

Infrared and Visible Image Fusion Based on Deep Decomposition Network and Saliency Analysis. - Lihua Jian; Rakiba Rayhana; Ling Ma 005; Shaowu Wu; Zheng Liu 002; Huiqin Jiang (IEEE Trans. Multim., 2022)

Automated Biomass Estimation through Depth Measurement with an OAK-D Camera. - Zhenyu Ma; Yue Cao; Rakiba Rayhana; Zheng Liu 002; Gaozhi George Xiao; Yuefeng Ruan; Jatinder S. Sangha (ROSE, 2023)

Systematic Sensor Data-Driven Analysis Pipeline for Anomaly Monitoring of Bridges and Rails. - Ling Bai; Rakiba Rayhana; Zheng Liu 002; Chunsheng Yang; Min Liao; George Xiao 001 (SAS, 2023)

A Multidimensional Data Fusion Neural Network for Damage Localization Using Ultrasonic Guided Wave. - Hongguang Yun; Ke Feng; Rakiba Rayhana; Shashank Pant; Marc Genest; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2023)

Multi-Scale and Multi-Stream Fusion Network for Pansharpening. - Lihua Jian; Shaowu Wu; Lihui Chen 002; Gemine Vivone; Rakiba Rayhana; Di Zhang 002 (Remote. Sens., 2023)

TAME-Faster R-CNN model for Image-based Tea Diseases Detection. - Tiancheng Liu; Ling Bai; Rakiba Rayhana; Xiuguo Zou; Zheng Liu 002 (CCECE, 2024)

Digital Twin for Industrial Asset Management: A Case Study for Pipeline Maintenance. - Ling Bai; Rakiba Rayhana; Jiatong Ling; Teng Wang 002; Zheng Liu 002; Andreas Schnabel; Chunsheng Yang; Min Liao (IECON, 2024)

Distributed Predictive Maintenance through Edge Computing. - Rakiba Rayhana; Hongguang Yun; Teng Wang 002; Johnson Chen; Yanshuo Fan; Zheng Liu 002; Wendy Gao (INDIN, 2024)

WaveCLR: Contrastive Learning of Guided Wave Representations for Composite Damage Identification. - Hongguang Yun; Rui Wang; Rakiba Rayhana; Shashank Pant; Marc Genest; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2024)

LSDC-RC-RAPID: An Improved Probabilistic Reconstruction Approach for Pipeline Corrosion Detection With UGWT. - Jiatong Ling; Rakiba Rayhana; Zheng Liu 002; Min Liao; Chunsheng Yang; Andreas Schnabel; Robert Neubeck; Christian Wunderlich (IEEE Trans. Instrum. Meas., 2025)

Multiserver Federated Learning for Building Energy Prediction With Wind Speed. - Rui Wang; Yanshuo Fan; Hongguang Yun; Rakiba Rayhana; Ling Bai; Zheng Liu 002 (IEEE Trans. Instrum. Meas., 2025)

ViFusionTST: Deep Fusion of Time-Series Image Representations from Load Signals for Early Bed-Exit Prediction. - Hao Liu; Yu Hu; Rakiba Rayhana; Ling Bai; Zheng Liu (CoRR, 2025)