Results 121 to 130 of about 54,415 (225)

Defense Strategies for Epidemic Cyber Security Threats: Modeling and Analysis by Using a Machine Learning Approach

IEEE Access
This paper investigates the mathematical modelling of cybercrime attacks on multiple devices connected to the server. This model is a very successful way for cybercrime, bio-mathematics, and artificial intelligence to investigate and comprehend the ...
Muhammad Sulaiman, Muhammad Waseem, Addisu Negash Ali, Ghaylen Laouini, Fahad Sameer Alshammari   +4 more
doaj   +1 more source

Downscaling Daily Discharge to Sub‐Daily Scales for Alpine Glacierized Catchments

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Hydrological dynamics in glacierized catchments of the Alps are shaped by temperature‐driven processes, including snow and ice melt as well as precipitation, leading to diel streamflow cycles that vary in intensity within‐ and among‐the seasons.
Anne‐Laure Argentin, Mattia Gianini, Bettina Schaefli, Pascal Horton, Valérie Chavez‐Demoulin, Felix Pitscheider, Leona Repnik, Simone Bizzi, Stuart N. Lane, Francesco Comiti   +9 more
wiley   +1 more source

Endocrine‐Nutritional Synergy Between Sex Inversion and Microencapsulated Bioactives Enhances Growth, Intestinal Development, and Oxidative Stability in Nile Tilapia Larvae

Journal of Animal Physiology and Animal Nutrition, Volume 110, Issue 3, Page 339-350, May 2026.
ABSTRACT This study evaluated the combined effects of sex inversion and microencapsulated supplementation with organic acids and essential oils on growth performance, tissue morphology, gene expression, and oxidative status in Nile tilapia (Oreochromis niloticus) larvae.
Jaísa Casetta, Eliane Gasparino, Caroline Isabela da Silva, Simone Siemer, Gabriela Hernandes Cangianelli, Ricardo Souza Vasconcellos, Ricardo Pereira Ribeiro, Graciele Caroline Mari, Jaqueline Roesler, Juliana Sofientini, Diogo de Oliveira Marques, Stefania Claudino‐Silva   +11 more
wiley   +1 more source

A Novel Technique for Extracting the Tidal Magnetic Field: Methodology and Application to a Pre‐Processed Dataset of CSES and Swarm

Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract The oceanic tidal magnetic field, mainly driven by the circular orbital motion of the Moon, is an essential part of the time‐varying geomagnetic field. The previously adopted time‐harmonic (TH) base worked well in fitting the primary M2 ${M}_{2}$ tidal field, but extracting the other weaker modes like the N2 ${N}_{2}$ was difficult with only a
Haoren Ma, Yanyan Yang, Zhaojin Rong, Dongquan Wang, Jiawei Gao, Zeren Zhima, Jie Wang, Bin Zhou, Werner Magnes, Fei He, Y. Wei   +10 more
wiley   +1 more source

Solid Particle Erosion and Predictive Modeling of Epoxy Composites Reinforced With Diatom Frustules

Polymer Composites, Volume 47, Issue 8, Page 7094-7108, 20 April 2026.
Schematic representation of the solid particle erosion process and predictive modeling workflow for diatom frustule‐reinforced epoxy composites, illustrating the test setup, erosion response curve, and filler‐matrix interaction. ABSTRACT This study examines the solid particle erosion wear behavior of epoxy composites reinforced with 5–20 wt% calcined ...
Elif Gültürk, Eser Yarar, Orkan Baran Korkusuz, Aleyna Kara, Tamer Sınmazçelik   +4 more
wiley   +1 more source

Exploring the Implications of the Russo‐Ukrainian War on Natural Gas Usage and Consequent Impacts on Air Quality in Northern Italy

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.
Abstract This study examines how the Russo‐Ukrainian war affected natural gas consumption and air quality in northern Italy. The conflict disrupted European natural gas supplies, leading to a reduction in residential natural gas use. We investigated how this reduction affected air quality, focusing on residential wood combustion (RWC) as an alternative
Manuel Bettineschi, Giancarlo Ciarelli, Tuukka Petäjä, Markku Kulmala, Arineh Cholakian, Alessandro Bigi, Federico Bianchi   +6 more
wiley   +1 more source

Improved Dust Microphysical Retrieval From LiDAR by Introducing a Priori Constraints From In Situ and Laboratory Measurements

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.
Abstract The accuracy of height‐resolved dust microphysical retrieval from LiDARs has been greatly improved by the recently developed BOREAL (Basic algOrithm for REtrieval of Aerosol with LiDAR) algorithm which describes non‐spherical dust particles with the Irregular‐Hexahedral (IH) model and inverts 3β (backscattering at 355, 532, and 1,064 nm) + 2α (
Yuyang Chang, Qiaoyun Hu, Philippe Goloub, Thierry Podvin   +3 more
wiley   +1 more source

Tailored Dual Responsive Hybrid Gelatin Methacryloyl/Poly[2‐(Dimethylamino)Ethyl Methacrylate] Hydrogels for Efficient Ibuprofen Release in Topical Applications

Journal of Applied Polymer Science, Volume 143, Issue 15, April 15, 2026.
GelMA/DMAEMA hybrid hydrogels for release of ibuprofen. ABSTRACT In this study, biocompatible hydrogels intended for topical delivery of ibuprofen were synthesized from gelatin methacryloyl (GelMA) and 2‐(dimethylamino)ethyl methacrylate (DMAEMA) by varying their proportions. The impact of different GelMA and DMAEMA ratios was comprehensively evaluated
Guilherme Frey Schutz, Ana Luiza Assis Coutinho, Carolina Coli Zuliani, Ibsen Bellini Coimbra, Jéssica Heline Lopes da Fonseca, Marcos Akira d'Ávila, Ângela Maria Moraes, Roniérik Pioli Vieira   +7 more
wiley   +1 more source

SMART ANTENNA ADAPTIVE BEAM FORMING BASE ON NEURAL NETWORK WITH DIFFERENT TRAINING ALGORITHIMS

Journal of Engineering and Sustainable Development, 2016
In this paper, an artificial Feed Forward Neural Network(FFNN) is used for smart antenna adaptive beamforming. Neural network is used to calculate the optimum weights that adapt the radiation pattern of the antenna by directing multiple narrow beams ...
Adheed Hassan Sallomi, Sulaiman A.G. Albanee   +1 more
doaj  

Neuron count impact on NNTS-based energy management in hybrid-powered renewable microgrids

Journal of Engineering and Applied Science
Efficient energy-storage management is critical for enhancing the reliability and sustainability of hybrid microgrid systems. This study examines the influence of neuron number in a Neural Network Time Series (NNTS) model on prediction quality and ...
Ismail Elabbassi, Omar Eloutassi, Youssef El hassouani   +2 more
doaj   +1 more source