Results 161 to 170 of about 16,711 (313)
Transportation Indicators: November 2000
This statistical series was published between 2000 and 2015, under these series titles: "Transportation Indicators," "White House Economic Statistics Briefing Room: Transportation," "Key Transportation Indicators," and "Multimodal Transportation ...
United States. Department of Transportation. Bureau of Transportation Statistics
core +1 more source
Advanced Materials Technologies, EarlyView.This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Urban multimodal traffic assignment
Multimodal Transportation, 2022 Yu Jiang, Otto Anker Nielsen
doaj +1 more source
Transportation Indicators: November 2001
This statistical series was published between 2000 and 2015, under these series titles: "Transportation Indicators," "White House Economic Statistics Briefing Room: Transportation," "Key Transportation Indicators," and "Multimodal Transportation ...
United States. Department of Transportation. Bureau of Transportation Statistics
core +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Transportation Indicators: September 2002
This statistical series was published between 2000 and 2015, under these series titles: "Transportation Indicators," "White House Economic Statistics Briefing Room: Transportation," "Key Transportation Indicators," and "Multimodal Transportation ...
United States. Department of Transportation. Bureau of Transportation Statistics
core +1 more source
Advanced Materials Technologies, EarlyView.Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
A data-driven framework for measuring multimodal transport success in smart cities: the case of Dubai. [PDF]
Sci RepEl Jallad AY +3 more
europepmc +1 more source
Transportation Indicators: January 2002
This statistical series was published between 2000 and 2015, under these series titles: "Transportation Indicators," "White House Economic Statistics Briefing Room: Transportation," "Key Transportation Indicators," and "Multimodal Transportation ...
United States. Department of Transportation. Bureau of Transportation Statistics
core +1 more source
Skin‐Like Tri‐Modal Sensors Based on Soft Piezoelectric and Ionic Composites
Advanced Materials Technologies, EarlyView.Inspired by the multimodal perception of human skin, a soft, skin‐like tri‐modal sensor is presented. The device incorporates an ionically conductive, piezoelectric, elastic composite as its active layer, enabling independent detection of temperature, static strain, and dynamic strain within a single two‐terminal architecture.
Liren Wang +9 more
wiley +1 more source