Results 221 to 230 of about 186,627 (254)

Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade

Agribusiness, EarlyView.
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci, Md Deluair Hossen, Andrew Muhammad, Seong‐Hoon Cho   +3 more
wiley   +1 more source

Anomaly Detection in Nuclear Power Production Based on Neural Normal Stochastic Process. [PDF]

Sensors (Basel)
Liu L, Liu S, He S, Xu K, Lan Y, Fang H.
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

A Golden Jackal based optimal operation and optimization of a virtual power plant involving renewable resources. [PDF]

Sci Rep
Pandey AK, Mansour C, K NK, Jadoun VK, S JN.   +4 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

The arbuscular mycorrhizal fungal communities associated with Taxus brevifolia (western yew) are sensitive to soil pH and neighborhood forest composition. [PDF]

Sci Rep
Snyder E, Simard SW, Guichon S.
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Benchmarking the Structure-Based Virtual Screening Performance of Wild-Type and Resistant PfDHFR Using Docking and Machine Learning Re-Scoring. [PDF]

Drug Des Devel Ther
Hany MS, Ahmed NS, Boeckler FM, Ibrahim TM.   +3 more
europepmc   +1 more source

Optimal electric vehicle charging stations and distributed generation placement by partitioning the distribution network using the modified newman fast algorithm. [PDF]

Sci Rep
Mohamed MAE, Gawish ANA, Metwally ME.
europepmc   +1 more source

<i>In silico</i> based exploration of natural and synthetic antidiabetic compounds: A comprehensive review of computational approaches. [PDF]

ADMET DMPK
Maulana AF, Sriwidodo S, Maksum IP, Rukayadi Y.   +3 more
europepmc   +1 more source