Results 121 to 130 of about 1,263,282 (314)
Stock Market Prediction Using a Hybrid of Deep Learning Models
Financial markets play an essential role in developing modern society and enabling the deployment of economic resources. This study focuses on predicting stock prices using deep learning models.
Chika Yinka-Banjo +2 more
doaj
Impact of renewable energy in the future smart power system
Current power systems create environmental impacts due to utilization of fossil fuels, especially coal, as carbon dioxide is emitted into the atmosphere.
Ali, A. +4 more
core +1 more source
Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro +4 more
wiley +1 more source
Considering that wind power is proportional to the cube of the wind speed variable, which is highly random, complex power grid management tasks have arisen as a result.
Khathutshelo Steven Sivhugwana +1 more
doaj +1 more source
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp +7 more
wiley +1 more source
Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen +4 more
wiley +1 more source
Low‐Symmetry Weyl Semimetals: A Path to Ideal Topological States
This study presents a theoretical framework for realizing ideal Weyl semimetals, where Weyl nodes are well‐isolated at the Fermi level. The approach is exemplified in the low‐symmetry material Cu2SnSe3, which exhibits tunable topological phases, current‐induced orbital magnetization, and a strong circular photogalvanic effect, making it a promising ...
Darius‐Alexandru Deaconu +3 more
wiley +1 more source
Load forecasting is crucial in power system energy management, aiding planning and operations. The latest modified forecasting methods are important for best prediction of the electric power consumption of the load which nowadays are not practically ...
Molla Addisu Mossie +3 more
doaj +1 more source
Reliable instantaneous high-power supply remains a critical technological bottleneck for deep space exploration. Here, we propose a novel hybrid microgrid architecture tailored for areostationary orbit applications, integrating a miniaturized nuclear ...
Xingju Du +6 more
doaj +1 more source
Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr +7 more
wiley +1 more source

