Performance analysis of LoRaWAN underground-to-satellite connectivity: An urban underground pipelines monitoring case study
Efficient NeRF Optimization – Not All Samples Remain Equally Hard
Fundamental Matrix Estimation Using Relative Depths
A Web-Based Solution for Federated Learning With LLM-Based Automation
Federated Learning (FL) offers a promising approach for collaborative machine learning across distributed devices. However, its adoption is hindered by the complexity […]
SDRS: Sentiment-Aware Disentangled Representation Shifting for Multimodal Sentiment Analysis
Adaptive and Self-Tuning SBL with Total Variation Priors for Block-Sparse Signal Recovery
This letter addresses the problem of estimating block sparse signal with unknown group partitions in a multiple measurement vector (MMV) setup. We […]
Efficient Channel Prediction for Beyond Diagonal RIS-Assisted MIMO Systems with Channel Aging
Novel reconfigurable intelligent surface (RIS) architectures, known as beyond diagonal RISs (BD-RISs), have been proposed to enhance reflection efficiency and expand RIS […]
Optimizing TTD-based Wideband Hybrid Beamforming for Energy-Efficient Wireless Power Transfer
ML-Aided 2D Indoor Positioning Using Energy Harvesters and Optical Detectors for Self Powered Light-based IoT Sensors
Advancements in 6G and IoT sensor networks prioritise sustainability and energy efficiency, with positioning services essential for improved functionality. Light-based IoT (LIoT) […]
Performance Analysis and Power Allocation for Massive MIMO ISAC Systems
Integrated sensing and communications (ISAC) is envisioned as a key feature in future wireless communications networks. Its integration with massive multiple-input-multiple-output (MIMO) […]