Station-length requirements for reliable performance-based examination scores
John Shatzer+3 more
openalex +1 more source
Multipath propagation model of spatio-temporal dispersion observed at base station in urban areas [PDF]
S. Ichitsubo, K. Tsunekawa, Yoshio Ebine
openalex +1 more source
A multifunctional memristor is demonstrated for in‐memory sensing and computing, leveraging a MoWS₂/VOx heterojunction to enable high ON/OFF ratio up to 10⁸ with ultralow operating voltages of ±0.2 V. This bio‐inspired multimodal design exhibits tunable synaptic behavior across electrical, optical, and humidity stimuli, enabling in situ modulation of ...
Abdul Momin Syed+8 more
wiley +1 more source
Postwall waveguide slot array with cosecant radiation pattern and null filling for base station antennas in local multidistributed systems [PDF]
Jiro Hirokawa, C. Yamazaki, Makoto Ando
openalex +1 more source
Recent Advances in Wide‐Bandgap Perovskite Solar Cells
Ubiquitous defects predominately account for photo‐instability and open‐circuit voltage losses in wide‐bandgap perovskite solar cells (WBG PSCs). This review comprehensively presents the underlying impact mechanisms, summarizes the advanced optimization strategies across various functional layers and their interfaces to develop efficient and stable WBG
Jianjun Mei, Feng Yan
wiley +1 more source
Investigating the performance of smart antenna systems at the mobile and base stations in the down and uplinks [PDF]
Kai‐Kit Wong, K.B. Letaief, Ross Murch
openalex +1 more source
Carbon Fiber Reinforced Thermoplastics: From Materials to Manufacturing and Applications
A contemporary and critical review on carbon fiber reinforced thermoplastics. The common thermoplastic and carbon fiber applied in the manufacture of carbon fiber reinforced thermoplastics are summarized, and the processing and postprocessing methods are reviewed, with emphasis on state‐of‐the‐art welding techniques.
Howard (Hao) Wang+6 more
wiley +1 more source
Simulation and Analysis of Base Station Buffer in UMTS Systems [PDF]
Namgi Kim+3 more
openalex +1 more source
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin+7 more
wiley +1 more source