Results 61 to 70 of about 427,183 (276)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Support vector machines for optimal channel decoding
EURASIP Journal on Wireless Communications and NetworkingIn this work, we investigate channel decoding techniques based on machine learning, and more specifically, on support vector machines (SVMs). Existing SVM-based decoders suffer from a scalability problem, characterized by the exponential growth of both ...
Gastón De Boni Rovella +3 more
doaj +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Aplikasi Metode Cross Entropy untuk Support Vector Machines
Jurnal Teknik Industri, 2012 Support vector machines (SVM) is a robust method for classification problem. In the original formulation, the dual form of SVM must be solved by a quadratic programming in order to get the optimal solution.
Budi Santosa, Tiananda Widyarini
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Advanced Engineering Materials, EarlyView.Stabilization of L‐PBF Ni50.7Ti49.3 under low‐cycle loading was investigated. Recoverable strain after cycling was dependent on the amount of applied load. Recovery ratio was 53.4% and 35.1% at intermediate and high load, respectively. The maximum total strain reached 10.3% at a high load of 1200 MPa.
Ondřej Červinek +5 more
wiley +1 more source
Complex Support Vector Machines for Regression and Quaternary Classification
, 2014 The paper presents a new framework for complex Support Vector Regression as well as Support Vector Machines for quaternary classification. The method exploits the notion of widely linear estimation to model the input-out relation for complex-valued data ...
Bouboulis, Pantelis +3 more
core +1 more source
Predicting Tunnel Squeezing Using Multiclass Support Vector Machines
Advances in Civil Engineering, 2018 Tunnel squeezing is one of the major geological disasters that often occur during the construction of tunnels in weak rock masses subjected to high in situ stresses.
Yang Sun, Xianda Feng, Lingqiang Yang
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Support vector machines in structural engineering: a review
Journal of Civil Engineering and Management, 2015 Recent development in data processing systems had directed study and research of engineering towards the creation of intelligent systems to evolve models for a wide range of engineering problems.
Abdulkadir Çevik +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Nickel‐based alloys are widely used in high‐temperature applications due to their excellent mechanical strength and oxidation resistance. However, properties such as high‐temperature strength and pronounced work‐hardening make them difficult to machine.
Soheil Rooein +2 more
wiley +1 more source
Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys
Advanced Engineering Materials, EarlyView.This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa +9 more
wiley +1 more source