Results 171 to 180 of about 80,218 (288)

Modeling Soil Erosion Susceptibility Using Machine Learning Techniques: Rud‐e‐Faryab Basin, Iran

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion poses a significant threat to water and soil resources, affecting agricultural productivity, infrastructure, and environmental stability. This study models erosion susceptibility in the Rud‐e‐Faryab basin (Bushehr province, Iran) using the BIOMOD‐2 package in R (an ensemble of 10 machine learning algorithms) applied to 10 ...
Javad Momeni Damaneh, Ali Akbar Safdari, Nazanin Azarnejad, Majid Ghorbani, Fatemeh Panahi, Sayed Fakhreddin Afzali, Stefano Loppi   +6 more
wiley   +1 more source

Deep Learning-Based Evaluation of Postural Control Impairments Caused by Stroke Under Altered Sensory Conditions. [PDF]

Biomimetics (Basel)
Najipour A, Khorramymehr S, Razeghi M, Hassani K.   +3 more
europepmc   +1 more source

Integrating phytoplankton phenology, traits, and model‐data fusion to advance bloom prediction

Limnology and Oceanography Letters, EarlyView.
Abstract While there is a diversity of approaches for modeling phytoplankton blooms, their accuracy in predicting the onset and manifestation of a bloom is still lagging behind what is needed to support effective management. We outline a framework that integrates trait theory and ecosystem modeling to improve bloom prediction.
Matthew R. Hipsey, Cayelan C. Carey, Justin D. Brookes, Michele A. Burford, Hoang V. Dang, Bas W. Ibelings, David P. Hamilton   +6 more
wiley   +1 more source

Partial Discharge-Based Cable Vulnerability Ranking with Fuzzy and FAHP Models: Application in a Danish Distribution Network. [PDF]

Sensors (Basel)
Shadi MR, Mirshekali H, Shaker HR.
europepmc   +1 more source

A novel artificial intelligence–powered cell counting tool coupled with digital microscopy for rapid field‐assessment of harmful cyanobacterial blooms

Limnology and Oceanography: Methods, EarlyView.
ABSTRACT Historical quantification of cyanobacterial harmful algal blooms (cHABs) typically involved labor‐intensive manual cell counting. We developed a novel, cost‐effective, field‐validated system to perform cell counts of six common toxin‐producing cyanobacterial genera within 30 s of upload with 10‐min sample preparation.
Igor Mrdjen, Zacharias J. Smith, Abby M. Webster, Christopher C. Nack, Bryan Arndt, Danara Dormaeva, Gregory L. Boyer, N. Roxanna Razavi, Stephen B. Shaw   +8 more
wiley   +1 more source

FLPSO-AMPS: an optimized WSN model for air quality monitoring in tier-2 smart cities. [PDF]

Sci Rep
K L, Malghan RL, Rao M C K, Garg L, R H M SS, H M V.   +5 more
europepmc   +1 more source

Immersive and Generative Technology: New Tools for Marketing, New Tools for Consumer Response

Psychology &Marketing, EarlyView.
ABSTRACT Immersive technologies, including AR, VR, XR, and generative technologies such as Gen‐AI, are reinventing marketing practice and consumer experience. In this article we provide an introductory review of how these technologies are (re)shaping consumer behavior in domains where the physical and digital converge, and consumers' response to them ...
Gabriele Pizzi, Shashi Matta, Federica Caboni, David W. Stewart   +3 more
wiley   +1 more source

Preset-Time Convergence Fuzzy Zeroing Neural Network for Chaotic System Synchronization: FPGA Validation and Secure Communication Applications. [PDF]

Sensors (Basel)
Xiao L, Zhao L, Jin J.
europepmc   +1 more source

Advancing Theoretical Integration of Distrust: A Multilevel Examination of Its Theoretical Foundations, Dynamics, and Mechanisms

Psychology &Marketing, EarlyView.
ABSTRACT This paper addresses persistent gaps in distrust scholarship by systematically reviewing studies published from 1998 to 2024. We refine distrust as a construct distinct from trust, mistrust, and suspicion, shaped by unique cognitive, emotional, and behavioral mechanisms.
Xiaolan Chen, George Balabanis, Shuai Qin   +2 more
wiley   +1 more source

The role of product art design based on a fuzzy decision support system in improving user interaction experience. [PDF]

PLoS One
Liu Y, Zhang S.
europepmc   +1 more source