Ensembling Probabilistic Regressors for Path Loss Prediction
Proceedings of the 4th URSI Atlantic RadioScience Conference – AT-RASC 2024Machine Learning (ML) based Path Loss (PL) prediction is of great importance when designing modern communications networks. As a result of providing a framework for understanding what learning entails, probabilistic modeling has become one of the most prominent theoretical and practical methods for developing machines that acquire knowledge from ...
Sotiroudis, Sotirios +5 more
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Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies
Advanced Functional Materials, EarlyView.Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke +3 more
wiley +1 more source
Path Loss Measurements and Model Analysis in an Indoor Corridor Environment at 28 GHz and 38 GHz. [PDF]
Sensors (Basel), 2022 Oladimeji TT, Kumar P, Elmezughi MK.
europepmc +1 more source
Advanced Functional Materials, EarlyView.Photoaligned and photopatterned liquid crystal platforms provide programmable control of optical phase, polarization, and spin‐orbit interactions, enabling compact generation of structured light and complex wavefronts. This review highlights how tailored molecular orientations transform simple beams into designed optical fields, opening versatile ...
Le Zhou +6 more
wiley +1 more source
Multi-Boundary Empirical Path Loss Model for 433 MHz WSN in Agriculture Areas Using Fuzzy Linear Regression. [PDF]
Sensors (Basel), 2023 Phaiboon S, Phokharatkul P.
europepmc +1 more source
Correlated Metal LaNiO3 as a p‐Type Transparent Conductor
Advanced Functional Materials, EarlyView.p‐type transparent conducting oxides are needed to enable superstrate solar cell geometries with n‐type absorbers. The p‐type correlated metal LaNiO3 combines high optical transmission with low electrical resistivity and is compatible with a range of scalable deposition processes.
Shivang Beniwal +8 more
wiley +1 more source
Performance analysis of improved path loss models for millimeter-wave wireless network channels at 28 GHz and 38 GHz. [PDF]
PLoS One, 2023 Oladimeji TT, Kumar P, Elmezughi MK.
europepmc +1 more source
Tuning Redox Dynamics in Cu‐Based Electrocatalysts: Effect of Secondary Metals
Advanced Functional Materials, EarlyView.Advanced analysis of operando X‐ray absorption spectroscopy data reveals that secondary metals affect the redox processes in Cu‐based catalysts for electrocatalytic CO2 reduction. This influences the amount of oxides formed under pulsed reaction conditions and the distribution of reaction products.
Martina Rüscher +17 more
wiley +1 more source
Performance Analysis of Multihop Full-Duplex NOMA Systems with Imperfect Interference Cancellation and Near-Field Path-Loss. [PDF]
Sensors (Basel), 2023 Tu LT +7 more
europepmc +1 more source
Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing
Advanced Functional Materials, EarlyView.A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee +10 more
wiley +1 more source