Results 111 to 120 of about 1,831,408 (276)

Risk Assessment and Diagnosis Model for Real‐Time Flood Control Operation of a Multi‐Reservoir System

Land Degradation &Development, EarlyView.
ABSTRACT Real‐time flood control operation of multi‐reservoir systems is affected by multiple sources of hydrological and operational uncertainties, which increase the complexity of risk propagation and decision‐making processes. Therefore, effective risk assessment and diagnosis are essential for supporting risk‐informed flood control operation.
Juan Chen, Ruping Fu, Ruxia Deng, Jianjie Tong, Jun Zhang, Ping‐An Zhong   +5 more
wiley   +1 more source

Data-driven approach to machine condition prognosis using least square regression trees [PDF]

, 2007
Machine fault prognosis techniques have been considered profoundly in the recent time due to their profit for reducing unexpected faults or unscheduled maintenance.
Tran, Van Tung
core   +1 more source

Integrating Machine Learning and StoDyM for Check Dam Site Selection on the Loess Plateau, China

Land Degradation &Development, EarlyView.
ABSTRACT Severe soil erosion in the Loess Plateau has led to significant land degradation, threatening agricultural productivity and ecosystem stability. Check dams, as a critical soil–water conservation measure, have proven effective in mitigating sediment loss and reclaiming farmland.
Hongwei Ma, Liquan Sun, Huili Guo, Shufang Wu   +3 more
wiley   +1 more source

Optimization of Land Pattern in Mining Area Based on the Improvement of Ecosystem Service Function—A Case Study of Fushun Mining Area

Land Degradation &Development, EarlyView.
ABSTRACT Mining activities are prevalent worldwide and pose significant threats to the supply of ecosystem services (ESs) for humanity. Many mining areas face challenges related to recovery and reclamation following resource depletion. A key challenge for the sustainable development of these areas is how to achieve collaborative optimization of land ...
Luge Rong, Changwei An
wiley   +1 more source

Harnessing Spatial and Multi‐Criteria Decision Analysis (MCDA) to Optimize Land Suitability for Kenaf Cultivation in Kelantan: Pathways for Sustainable Economic Development

Land Degradation &Development, EarlyView.
ABSTRACT In Kelantan, entrenched land degradation and extensive idling of agricultural lands exacerbate rural poverty. Current top‐down planning often overlooks local geographic and social constraints, despite state initiatives to convert idle lands and strengthen rural livelihoods.
Nur Afiqah Ariffin, Zainol Jamil, Yaniza Shaira Zakaria, Nur Ain Che Mat Ali, Azizul Ahmad   +4 more
wiley   +1 more source

Estimating Land Degradation Level Using Remote Sensing Data and Fuzzy AHP Technique

Land Degradation &Development, EarlyView.
ABSTRACT Land degradation is a critical global environmental concern that significantly impacts ecosystem services, agricultural productivity, weather patterns, human livelihoods and overall well‐being. Prompt and precise assessments of land degradation status are crucial for environmental governance and sustainable development. Remote sensing data can
Mohamed Mustafa Ali, Hamed Faroqi
wiley   +1 more source

Trade‐Policy Exposure and Managerial Adjustment Margins: Regime‐Dependent Evidence From Corporate Tax‐Base Outcomes

Managerial and Decision Economics, EarlyView.
ABSTRACT Trade‐policy shocks raise visible operating pressure on firms through sourcing costs, supplier exposure, and market‐serving choices. A direct operating‐margin interpretation points to production reconfiguration, pricing changes, or supply‐chain adjustment.
Garros Gong, Stanko Dimitrov
wiley   +1 more source

Advancing Artificial Intelligence in Myopia Management: From Predicting Progression to Supporting Clinical Decisions

Med Research, EarlyView.
The AI‐enabled multimodal framework for whole‐life myopia management. Graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be ...
Zewei Zhang, Yun Wang, Lifei Zhang, Dongmei Chen, Weijie Zhang, Fang Li, Jibo Zhou   +6 more
wiley   +1 more source

Why Use Immersive Virtual Reality to Assess Gait in Functional Motor Disorders?

Movement Disorders, EarlyView.
Abstract Background Functional motor disorders (FMD) are disabling conditions modulated by attentional demands. Immersive virtual reality (iVR) engages multiple attentional and sensory networks, but its application in people with FMD (PwFMD) remains limited.
Marialuisa Gandolfi, Chiara Bonetto, Corrado Perin, Angela Sandri, Giulia Bonardi, Ilaria Antonella Di Vico, Laura Avanzino, Elisa Pelosin, Mauro Crestani, Christian Geroin, Denis Vidale, Marco Pirini, Mirta Fiorio, Michele Tinazzi, Francesca Salaorni   +14 more
wiley   +1 more source

Respiratory‐Resolved Isotropic 3D T1 Mapping of the Carotid Vessel Wall With B1+ Correction (CARISMAT1C)

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop, optimize, and characterize a respiratory motion‐resolved free‐running isotropic 3D carotid vessel wall T1 mapping technique named CARISMAT1C. Methods An inversion‐recovery gradient‐echo free‐running pulse sequence with interleaved double flip‐angle (2FA) was implemented, and an extended‐phase‐graph dictionary was used to ...
Isabel Montón Quesada, Céline Hirsch, Pauline Calarnou, Jean‐Baptiste Ledoux, Jérôme Yerly, Christopher W. Roy, Augustin C. Ogier, Ruud B. van Heeswijk   +7 more
wiley   +1 more source