Broadband multi-beam lens-assisted mmID enabling multi-gigabit backscatter data rates for next-generation wireless networks. [PDF]
Joshi M +5 more
europepmc +1 more source
Blockchain for Future Wireless Networks: A Decade Survey. [PDF]
Rathod T +6 more
europepmc +1 more source
Autonomous field robots equipped with ISFET‐based sensors enable rapid, spatially resolved soil nutrient analysis directly in the field. An automated system based on the BoniRob platform is presented for standardized on‐site extraction and measurement of key macronutrients and soil pH.
Vadim Riedel +3 more
wiley +1 more source
Enhancing reliability and spectral efficiency in future wireless networks via intelligent omni-surface enhanced MU-MIMO cooperative hybrid NOMA. [PDF]
Kennedy HSJ +4 more
europepmc +1 more source
Enhanced Slime Mould Optimization with Deep-Learning-Based Resource Allocation in UAV-Enabled Wireless Networks. [PDF]
Alkanhel R +5 more
europepmc +1 more source
We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li +5 more
wiley +1 more source
Retraction notice to "An efficient algorithm for resource optimization in IRS-mmWave-NOMA B5G wireless networks" [Heliyon 10 (2024) e25107]. [PDF]
Liang W +3 more
europepmc +1 more source
Research on Throughput-Guaranteed MAC Scheduling Policies in Wireless Networks. [PDF]
Zhang F, Li B, Yang G.
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
A physics-informed Airy beam learning framework for blockage avoidance in sub-terahertz wireless networks. [PDF]
Chen H, Kludze A, Ghasempour Y.
europepmc +1 more source

