Results 161 to 170 of about 3,638,639 (284)
Agribusiness, EarlyView.ABSTRACT This study examines food price inflation rate convergence among EU27 Member States from 2005 to 2024, focusing on structural breaks, external shocks, and regional disparities. Using panel unit root tests and club convergence analysis, the findings reveal no overall convergence but identify multiple convergence clubs.
Tibor Bareith, Imre Fertő
wiley +1 more source
Li-Fi and VLC for Smart Environments
International Journal for Research in Applied Science and Engineering TechnologyThis research paper presents an in-depth review and analysis of Light Fidelity (Li-Fi) and Visible Light Communication (VLC), highlighting their increasing significance in next-generation smart environments. Unlike traditional radio frequency (RF) systems, these technologies utilize the visible light spectrum—primarily via LED infrastructure—for ...
openaire +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
Advanced Intelligent Discovery, EarlyView.We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
, 2014 Wireless sensors have been increasingly utilized in the design of next generation high performance buildings. When deploying wireless sensors, energy supply and data communication are the major concerns.
Li, Xiaohang +2 more
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DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validation. [PDF]
Sci RepAbdelhakim E +3 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
A robust machine learning approach for DC bias prediction in DCO-OFDM based Li-Fi systems. [PDF]
PLoS OneSalman M, Siddle D, Gao Y.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Li-Fi application using ambient light sensor
, 2019 Light is the fastest medium that data can be transferred through. Potential transfer speeds are 1000 times faster than radio waves can achieve. NASA claims to have had success with transferring data from spacecraft to earth and back using lasers. Space-X
Shingala, Khushal
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