Results 171 to 180 of about 2,209,897 (270)

Path Loss Prediction Model of 5G Signal Based on Fusing Data and XGBoost-SHAP Method. [PDF]

Sensors (Basel)
Xu T, Xu N, Gao J, Zhou Y, Ma H.
europepmc   +1 more source

Phase Change Material‐Driven Tunable Metasurface for Adaptive Terahertz Sensing and Communication in 6G Perceptive Networks

Advanced Functional Materials, EarlyView.
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To, Jiachen Du, Cyril Decroze, Laure Huitema, Aurelian Crunteanu, Hang Wong   +5 more
wiley   +1 more source

High-accuracy iterative localization algorithm for underground mine WSNs with dynamic path loss optimization and RSSI clustering. [PDF]

Sci Rep
Wu B.
europepmc   +1 more source

Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami

Advanced Functional Materials, EarlyView.
A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding, Zhong Zhang, Zeang Zhao, Shengyu Duan, Panding Wang, Xiaogang Guo, Hongshuai Lei, Daining Fang   +7 more
wiley   +1 more source

Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems. [PDF]

Front Artif Intell
Ben Ameur M, Chebil J, Habaebi MH, Tahar JBH.   +3 more
europepmc   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source

Path Loss Modeling for RIS-Assisted Wireless Communication in Tunnel Scenarios. [PDF]

Sensors (Basel)
Yang Q, Wu Y, Zhao H, Feng Y, Sun Y, Fang Z, Zheng G.   +6 more
europepmc   +1 more source

The Realization of Multidirectional, Free‐Standing 3D Plasmonic Nanostructures via 3D Nanoprinting: A Case Study of Fractal Antennas

Advanced Functional Materials, EarlyView.
Free‐standing plasmonic gold‐based fractal antennas are fabricated by 3D nanoprinting, employing focused electron beam induced deposition and an optimized purification method to remove carbon while conserving structural fidelity. Simulation and experiment show broadband plasmonic activity, including customizable polarizability, thereby paving the way ...
Verena Reisecker, Robert Winkler, Ulrich Hohenester, Evelin Fisslthaler, Daniel Knez, Gerald Kothleitner, Georg Haberfehlner   +6 more
wiley   +1 more source

Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore

Advanced Functional Materials, EarlyView.
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul, Archith Rayabharam, Lisa Almonte, Eveline Rigo, Joshy Joseph, Ashutosh Kumar, Zhuxin Dong, Narayana Aluru, Gregory Timp   +8 more
wiley   +1 more source

A Machine Learning Approach for Path Loss Prediction Using Combination of Regression and Classification Models. [PDF]

Sensors (Basel)
Iliev I, Velchev Y, Petkov PZ, Bonev B, Iliev G, Nachev I.   +5 more
europepmc   +1 more source