Results 121 to 130 of about 16,517,842 (295)
The conventional quasi z-source inverters (QZSIs) are not capable of producing DC-side voltage gain through duty ratio control of switching pulses during non-shoot-through operation. This restricts freedom of control. In consequence, decoupled control between modulation index and duty ratio for producing DC-side voltage gain is not ...
openaire +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
Near‐Infrared Imaging of H2O2 in Plants With Nanosensors Under Environmentally Changing Conditions
This paper reports a ratiometric nanosensor enabling robust, multivariate detection of stress signals (H2O2) in plants, with high resistance to light fluctuations and mechanical disturbances. Single‐walled carbon nanotubes serve as the sensor, Egyptian Blue nanosheets serve as a stable reference, and plant autofluorescence serves as a label‐free ...
Jiaqi Li +8 more
wiley +1 more source
Orthogonal Passivation of Polar Facets for Efficient InSb Quantum Dot SWIR Photodetectors
An orthogonal passivation strategy is developed for indium antimonide (InSb) colloidal quantum dots (CQDs): a metal halide passivates Sb‐terminated surface sites, while thiol ligands passivate In‐terminated sites. This site‐specific passivation reduces trap density, prolonging carrier lifetime and increasing carrier mobility, and enables InSb CQD ...
Sile Hu +7 more
wiley +1 more source
Vertically oriented van der Waals MoS2 thin films enable a mechanically programmable crack network for strain sensing. The initial mechanical programming protocol establishes a programmed crack configuration along weak interlayer and interdomain interfaces.
Yinli Wang, Hiroyuki Hirakata
wiley +1 more source
Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi +6 more
wiley +1 more source
Single‐filament material extrusion enables spatial stiffness programming through locally controlled thermal foaming of TPU. A data‐driven G‐code framework tunes porosity from 15.7% to 40.7% and hardness from 90 to 63 Shore A within and across layers. Monolithic hands and soft actuators consequently achieve distinct programmed motions without material ...
Rosanna Rifino +3 more
wiley +1 more source
An All‐Fabric Wearable System for Human‐Machine Interaction
An all‐fabric sensing system enables wearable human–machine interaction through a breathable, stretchable, and scalable design. The all‐fabric capacitive sensor achieves a gauge factor of 2.03 over 72% strain and supports body‐motion tracking, 90.5% hand gesture recognition, and real‐time prosthetic hand control, demonstrating a promising pathway ...
Rayane Tchantchane +3 more
wiley +1 more source
Rigid Boron‐Fused Frameworks for Efficient Near‐Infrared Emission and Optical Gain Beyond 900 nm
Multiple‐resonance (MR)‐derived boron‐fused frameworks were integrated into narrow‐gap, long‐range charge‐transfer emitters to reduce structural relaxation and electron‐vibrational coupling. This strategy significantly decreases nonradiative losses, leading to improved near‐infrared (NIR) luminescence efficiency and low‐threshold amplified spontaneous ...
Masashi Mamada +6 more
wiley +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source

