ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
Effects of occupation on hearing in older adults: a Sri Lankan perspective. [PDF]
Dissanayake GS +4 more
europepmc +1 more source
Advancing Fruit Bioimpedance Monitoring With Sustainable, Soft, And Bio‐Based Electrodes Beyond ECG
Electrical impedance spectroscopy enables non‐destructive fruit quality monitoring, but conventional ECG and needle electrodes compromise signal stability, fruit physiology, and sustainability. This perspective highlights the transition toward soft, biocompatible, and biodegradable electrode interfaces based on natural substrates, bio‐derived ...
Sundus Riaz +6 more
wiley +1 more source
Bulk Tea Shoot Detection and Profiling Method for Tea Plucking Machines Using an RGB-D Camera. [PDF]
Cai Y, Li X, Yi W, Liu G.
europepmc +1 more source
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun +5 more
wiley +1 more source
Modelling habitat suitability and estimating protected areas coverage for Falco cherrug across its wintering habitats. [PDF]
Yousefi M +6 more
europepmc +1 more source
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Artificial intelligence-Driven detection and decision support system for precision management of maize downy mildew. [PDF]
G J, Dhole A, D D.
europepmc +1 more source
Smart control on agricultural machines [PDF]
openaire +2 more sources
Temperature Sensitivity and Adaptation of Cereal Yields: Empirical Evidence From Italy
ABSTRACT This paper investigates the evolving temperature sensitivity and climate adaptation of cereal yields in Italy from 1952 to 2023, using province‐level data for maize, common wheat, and durum wheat. Employing panel data econometric methods, we estimate yield responses to heat exposure, changes in sensitivity over time, and adaptation to climate ...
Paolo Nota +2 more
wiley +1 more source

