Results 161 to 170 of about 1,169,808 (377)

AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration

Advanced Healthcare Materials, EarlyView.
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer, Muhammad Hassan Razzaq, Mehmet Fatih Aycan, Yogendra Kumar Mishra   +3 more
wiley   +1 more source

Redox‐Active Polyphenol Red Molecularly Imprinted Polymers on Porous Gold Electrodes for Ultrasensitive, AI‐Assisted Detection of Alzheimer's Biomarkers in Undiluted Biofluids

Advanced Healthcare Materials, EarlyView.
This work presents a low‐cost, reagent‐free point‐of‐care biosensor integrating redox‐active polyphenol red molecularly imprinted polymers (pPhR MIPs) on highly porous gold (HPG) electrodes for ultrasensitive detection of phosphorylated tau 181 (p‐Tau 181), an Alzheimer’s disease biomarker, in undiluted biofluids.
Sudhaunsh Deshpande, Ajith Mohan Arjun, Guoyi Liu, Kryztof Pawlak, Sanjiv Sharma   +4 more
wiley   +1 more source

Benchmarking Assessment of Supervised Machine Learning Algorithms of K-Nearest Neighbor, Random Forest, Decision Tree and Its Variants Based On Efficiency and Performance Metrics

Journal of Applied Sciences and Environmental Management
Machine learning provides more verbose algorithms capable of accurately predicting, classifying groups as needed. Consequently, the objective of this paper is to assess the benchmarking of Supervised Machine Learning Algorithms of K-Nearest Neighbor ...
Y. Y. Abdullahi, A. S. Nur, A. Sale
doaj  

Selecting effective siRNA sequences by using radial basis function network and decision tree learning [PDF]

, 2006
Shigeru Takasaki, Yoshihiro Kawamura, Akihiko Konagaya   +2 more
openalex   +1 more source

Lazy Learning for Improving Ranking of Decision Trees

, 2006
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based ranking. In this paper, we aim to improve probability-based ranking under decision tree paradigms using AUC as the evaluation metric. We deploy a lazy probability estimator at
Liang, H., Yan, Y.
openaire   +3 more sources

Molecular Simulations of Polymer‐based Drug Nanocarriers: From Physical and Structural Properties to Controlled Release

Advanced Healthcare Materials, EarlyView.
Polymer‐based drug delivery systems can effectively overcome the limitations of free drugs in terms of solubility, stability, and plasma half‐life, yet their development has traditionally relied on time‐consuming trial‐and‐error approaches. This review highlights recent advances in applying molecular simulation to the design of polymer‐based drug ...
Ping Gao, Xin Jiang, Jinyu Li, Julien Nicolas, Tâp Ha‐Duong   +4 more
wiley   +1 more source

Robust Machine Learning Applied to Astronomical Data Sets. I. Star‐Galaxy Classification of the Sloan Digital Sky Survey DR3 Using Decision Trees [PDF]

, 2006
Nicholas M. Ball, Robert J. Brunner, Adam D. Myers, David Tcheng   +3 more
openalex   +1 more source

Hierarchically MOF‐Based Porous Monolith Composites for Atmospheric Water Harvesting

Advanced Materials, EarlyView.
This review explores the design of hierarchical porous materials for atmospheric water harvesting, focusing on metal‐organic frameworks (MOFs) and porous monoliths. Emphasis is placed on integrating MOF nanoscale porosity with the microscale channels of monolithic scaffolds to enhance sorption‐desorption performance.
Mahyar Panahi‐Sarmad, Tianyu Guo, Seyyed Alireza Hashemi, Ahmadreza Ghaffarkhah, Stefan Wuttke, Mohammad Arjmand, Orlando J. Rojas, Feng Jiang   +7 more
wiley   +1 more source

Classification of LED Packages for Quality Control by Discriminant Analysis, Neural Network and Decision Tree

Micromachines
This study investigates supervised learning to improve LED classification. A hardware system for testing was built. The data for learning were acquired and then analyzed to show their characteristics.
Heesoo Shim, Sun Kyoung Kim
doaj   +1 more source

State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials

Advanced Materials, EarlyView.
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis, Subhajit Dutta, Saqib Kamal, Sergio Gómez‐Graña, Isabel Pastoriza‐Santos, Stefan Wuttke, Lakshminarayana Polavarapu   +6 more
wiley   +1 more source