Results 51 to 60 of about 64,572 (274)

Feature selection for modular GA-based classification [PDF]

, 2004
Genetic algorithms (GAs) have been used as conventional methods for classifiers to adaptively evolve solutions for classification problems. Feature selection plays an important role in finding relevant features in classification.
Anand, Battiti, Brameier, Falco, Fangming Zhu, Gonzalez, Guan, Guan, Ishibuchi, Jenkins, Kwak, Lerner, Lu, Pal, Setiono, Setnes, Steven Guan, Verikas   +17 more
core   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Metode Urutan Parsial Untuk Menyelesaikan Masalah Program Linier Fuzzy Tidak Penuh [PDF]

, 2017
Not fully fuzzylinear programming problem have two shapes of objecyive function. that is triangular fuzzy number and trapezoidal fuzzy number. The decision variables and constants right segment only has a triangular fuzzy number. Partial order method can
Djuwandi, D. (Djuwandi), Irawanto, B. (Bambang), Jiwangga, S. S. (Sesar)   +2 more
core  

Statistical relational learning with soft quantifiers [PDF]

, 2016
Quantification in statistical relational learning (SRL) is either existential or universal, however humans might be more inclined to express knowledge using soft quantifiers, such as ``most'' and ``a few''.
B Huang, D Poole, F Heider, G Klir, H Prade, J Pujara, JR Isbell, L Getoor, LA Zadeh, M Delgado, M Richardson, P Victor, R West, RR Yager, S Fakhraei, S Muggleton, TH Cao   +16 more
core   +2 more sources

Imaging of Biphoton States: Fundamentals and Applications

Advanced Functional Materials, EarlyView.
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley   +1 more source

VIVID: A qPCR‐Based Platform for Sensitive and Quantitative In Vivo Tracking of Extracellular Vesicles

Advanced Functional Materials, EarlyView.
This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian, Talin Ebrahimian, Jonathan Miranda O'Connor, Janusz Rak, Stephanie Lehoux, Maryam Tabrizian   +5 more
wiley   +1 more source

Generalized Heptagonal Membership Function for Fully Fuzzy Linear Fractional Programming Problems

Ibn Al-Haitham Journal for Pure and Applied Sciences
    Identifying the optimum solution that satisfies the restrictions and maximizes or minimizes the objective function is the aim of fully fuzzy fractional programming (FFFLP). Due to the inclusion of both fuzzy parameters and fractional variables, this
Israa Hadi, Iden H. Al Kanani
doaj   +1 more source

Metode Dekomposisi Dan Metode Big-muntuk Menyelesaikan Program Linier Variabel Fuzzy Triangular Studi Kasus: Home Industri Borobudur Furniture, Bogor, Indonesia [PDF]

, 2016
Fuzzy Variable Linear Programming (FVLP) with triangular fuzzy variable is part of not fully fuzzy linear programming with decision variables and the right side is a fuzzy number.
Irawanto, B. (bambang), Puspitasari, N. (Nanda), Widowati, W. (Widowati)   +2 more
core  

Automatic epilepsy detection using fractal dimensions segmentation and GP-SVM classification [PDF]

, 2018
Objective: The most important part of signal processing for classification is feature extraction as a mapping from original input electroencephalographic (EEG) data space to new features space with the biggest class separability value.
Jirka, Jakub, Krejcar, Ondřej, Kuča, Kamil, Prauzek, Michal   +3 more
core   +1 more source

Nanodiamond‐Based Quantum Sensing Reveals Changes in Endo‐Lysosomal Activity of Stimulated Cardiac Fibroblasts in a Cellular Fibrosis Model

Advanced Functional Materials, EarlyView.
Quantum sensing reveals intricate patterns linking endo‐lysosomal maturation to cardiac fibrosis progression, highlighting complexity in cellular remodeling. This study investigates fibroblast‐to‐myofibroblast transition under cell aging, stiffness, and TGF‐β stimulation, comparing nanodiamond uptake, endo‐lysosomal dynamics, and free radical ...
Aldona Mzyk, Ezgi Yilmaz, Giovanni D Angelo, Kirstine Berg‐Sørensen   +3 more
wiley   +1 more source