Results 161 to 170 of about 14,663 (269)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

A hybrid AI-Blockchain security framework for smart grids. [PDF]

Sci Rep
Ghadi YY, Mazhar T, Shahzad T, Jaghdam IH, Khan S, Khan MA, Hamam H.   +6 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

FalsEye: proactive detection of false data injection attacks in smart grids using IceCube-optimised ensemble learning. [PDF]

Sci Rep
Sheta AN, Osman SF, Eladl AA, Sedhom BE, El-Afifi MI.   +4 more
europepmc   +1 more source

Uncovering renewable energy policy impact channels on land values, the local farm structure, and farmland heterogeneity

American Journal of Agricultural Economics, EarlyView.
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt, Stefan Seifert, Saskia Wolff, Tobia Lakes, Marten Graubner, Axel Werwatz, Silke Hüttel   +6 more
wiley   +1 more source

Cyber-resilient machine learning framework for accurate individual load forecasting and anomaly detection in smart grids. [PDF]

Sci Rep
Tayseer M, Talaat M, Zamel AA, Sedhom BE, Elgamal M, Senjyu T, Song D, Ibrahim IM, Elkholy MH.   +8 more
europepmc   +1 more source

Biophysical Characterization and Proteomic Analysis of Small Extracellular Vesicles Derived From Different Neural Cell Lines

Advanced NanoBiomed Research, EarlyView.
This study systematically compares small extracellular vesicles (sEVs) derived from four neural cell lines, revealing how cellular origin shapes vesicle biophysical properties and proteomic cargo. Distinct, lineage‐specific signatures linked to neuronal, astrocytic, and microglial functions are identified, highlighting the importance of cell source ...
Muhammad Waqas Salim, Wei Zhang, Lyndsey E. Collins‐Praino, Andrew Care, Yuling Wang   +4 more
wiley   +1 more source

IoT-Enabled Fog-Based Secure Aggregation in Smart Grids Supporting Data Analytics. [PDF]

Sensors (Basel)
Khan HM, Jabeen F, Khan A, Waqar M, Kim A.   +4 more
europepmc   +1 more source

Encoding and Encryption via Dual‐Wavelength 3D Digital Light Processing

Angewandte Chemie International Edition, EarlyView.
Multi‐wavelength 3D DLP printing enables information encoding that can be encrypted on demand by applying orthogonal stimuli within a single material to trigger complementary responses. The 405 nm LED of the printer fabricates complex 3D geometries, while the 365 nm LED activates spiropyrans photochromism to program information into the structure ...
Finn Kröger, Michał P. Świątek, Eva Blasco   +2 more
wiley   +1 more source

Smart Grid Innovations: Increasing Resilience, Security, and Sustainability in the Era of Energy Transition

Engineering
Yixin Yu, Yanli Liu, Didi Yu
doaj   +1 more source