Enhanced maximum power point tracking using hippopotamus optimization algorithm for grid-connected photovoltaic system. [PDF]
Taha SA +4 more
europepmc +1 more source
In designing any power generation system that incorporates photovoltaics (PV) there is a basic requirement to accurately estimate the output from the proposed PV array under operating conditions.
Carr, Anna Judith
core
Highly Flexible and Conformable ZnO/FeGa Magnetoelectric Heterostructures for Skin wound Healing
The magnetic field‐induced electric field generated by a highly flexile ZnO(piezoelectric)/FeGa(magnetostrictive) magnetoelectric heterostructure embedded in the low Young's modulus elastomer PDMS has been used to stimulate the wound healing processes.
Filippos Perdikos +17 more
wiley +1 more source
Nature of innovations affecting photovoltaic system costs. [PDF]
Kavlak G +5 more
europepmc +1 more source
An improved grasshopper-based MPPT approach to reduce tracking time and startup oscillations in photovoltaic system under partial shading conditions. [PDF]
Wasim MS +4 more
europepmc +1 more source
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
Enhanced adaptive control techniques for extracting maximum power from photovoltaic system. [PDF]
Hafez AO, Attia MA, El-Ebiary AH.
europepmc +1 more source
Power optimization of a photovoltaic system with artificial intelligence algorithms over two seasons in tropical area. [PDF]
Ba A, Ndiaye A, Ndiaye EHM, Mbodji S.
europepmc +1 more source
Designing photovolaic/thermal solar collectors for building integration
With concern growing over the environment and resource use, there has been greater emphasis placed on sustainability, particularly in the built environment.
Carson, James K. +2 more
core
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source

