Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka +7 more
wiley +1 more source
Cell formation in real manufacturing systems with complex flow and technological constraints. [PDF]
Petrini G, Sagawa JK.
europepmc +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Construction-induced soil compaction in agri-photovoltaic systems: evidence from an Arenosol. [PDF]
Grahmann K +4 more
europepmc +1 more source
Design and simulation of key components for mechanical transplanting of large pineapple seedlings. [PDF]
Guo J +8 more
europepmc +1 more source
Improving the estimation accuracy of rice leaf protein nitrogen using data augmentation, explainable machine learning, and UAV hyperspectral imagery. [PDF]
Peng Y +6 more
europepmc +1 more source
Editorial: Multi-modal learning with large-scale models. [PDF]
Wang X, Li J.
europepmc +1 more source
Editorial: Utilizing machine learning with phenotypic and genotypic data to enhance effective breeding in agricultural and horticultural crops. [PDF]
Barnaby JY, Cortés AJ.
europepmc +1 more source
Evaluating the potential for contamination of leafy greens with Listeria when using retrofitted washing machines. [PDF]
Kamarasu P +3 more
europepmc +1 more source
Designing Predictive Maintenance for Agricultural Machines.
Lüttenberg, Hedda +2 more
openaire +2 more sources

