Results 81 to 90 of about 219,190 (262)

Comparative analysis of machine learning algorithms for predicting Dubai property prices

Frontiers in Applied Mathematics and Statistics
IntroductionPredicting property prices is a crucial task in the real estate market, and machine learning algorithms offer valuable tools for accurate predictions. In this study, we introduce a comprehensive comparison of eight well-known machine learning
Abdulsalam Elnaeem Balila, Ani Bin Shabri   +1 more
doaj   +1 more source

Palaeoproteomic Deconvolution of Physical and Genetic Collagen Mixtures

Advanced Science, EarlyView.
ClassiCOL_v2 uses a novel “peptide patching” framework that treats any collagen sample as a patchwork of peptide sequences derived from phylogenetically related species. This allows the algorithm to simultaneously resolve two previously intractable problems: multi‐species samples and/or database deficiencies.
Ian Engels, Tristan Dedrie, Synnøve K. Mo, Simon Van de Vyver, Thijs R. A. Vandenbroucke, Kévin Di Modíca, Jan Decher, Alice Toso, Dieter Deforce, Simon Daled, Alexandra Burnett, Grégory Abrams, Maarten Dhaenens   +12 more
wiley   +1 more source

IMPLEMENTASI METODE RANDOM FOREST DALAM MEMPREDIKSI SINYAL PERGERAKAN SAHAM

E-Jurnal Matematika
Trading involves purchasing stocks at low prices and then selling them at high prices to generate profits in a short period. Although it offers significant gains, trading is considered a high-risk activity.
MOCH. ANJAS APRIHARTHA, M. HUSNIYADI, TAUFIK NUR ALAM   +2 more
doaj   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Machine Learning in Slope Stability: A Review with Implications for Landslide Hazard Assessment

GeoHazards
Slope failures represent one of the most serious geotechnical hazards, which can have severe consequences for personnel, equipment, infrastructure, and other aspects of a mining operation.
Miguel Trinidad, Moe Momayez
doaj   +1 more source

How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang, Lena Kuhn, Hang Xiong, Zhanli Sun, Thomas Glauben   +4 more
wiley   +1 more source

Auditable PQD Classification and Domain Transfer Analysis With Explainable Boosting Machines

IEEE Access
Power quality disturbance (PQD) classifiers operate as decision support tools in protection systems, yet high-accuracy models provide no mechanism for engineers to verify that a classification is grounded in the physical thresholds of IEEE Std 1159 ...
Edson Jose Pacheco, Carlos Marcelo Pedroso, Roman Kuiava   +2 more
doaj   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source