Results 41 to 50 of about 6,708 (208)
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Electricity is the most widely used type of energy in the production sector. It has a direct impact on the cost of electrical energy and sustainability in production processes. In order to ensure electricity supply security, accurate forecasting methods must be applied.
Ayse Irem Kilitci, Irem Duzdar
openaire +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Purpose: Digital innovation and AI are transforming the Indian white goods industry, aligning product discovery and purchasing with the needs of a new generation of consumers. This paper examines inbound marketing, a strategy that attracts customers through valuable digital content rather than traditional advertising.
Shantilal Jadhav, Anand Deshmukh
openaire +3 more sources
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
This work reports a strategy of engineering charge‐assisted hydrogen bonds to tailor charge transfer channels in HOFs, significantly improving their performance in photocatalytic H2O2 production. ABSTRACT The production of H2O2 via artificial photosynthesis is often limited by inefficient charge‐carrier separation, causing significant charge ...
Yajun Zhao +7 more
wiley +1 more source
Dominant antimicrobial resistance reservoirs in Klebsiella pneumoniae vary across eco‐geographic settings rather than following a universal pattern. Integrated One Health and global genomic analyses show that lineage structure, integron load, and cross‐niche connectivity shape whether AMR burden accumulates primarily in human or nonhuman compartments ...
Hui Lin +12 more
wiley +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
This study demonstrates, for the first time, the use of a large‐format high‐pressure press to modify synthesized Li2SrSiO4:Eu2+,Cs+ phosphors after its preparation. The pressure treatment results in the formation of new materials with distinctive optical properties, opening pathways for the development of advanced LED devices and high‐performance ...
Przemysław Woźny +9 more
wiley +1 more source

