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A Novel Binary Emperor Penguin Optimizer for Feature Selection Tasks
(Tech Science Press, 2022)Nowadays, due to the increase in information resources, the number of parameters and complexity of feature vectors increases. Optimization methods offer more practical solutions instead of exact solutions for the solution ... -
A novel classification framework using multiple bandwidth method with optimized CNN for brain-computer interfaces with EEG-fNIRS signals
(Springer London Ltd, 2021)The most effective way to communicate between the brain and electronic devices in the outside world is the brain-computer interface (BCI) systems. BCI systems use signals of being through neural activity in the brain to ... -
A novel copper (II) complex containing pyrimidine-4-carboxylic acid: Synthesis, crystal structure, DFT studies, and molecular docking
(Elsevier, 2022)A new Cu(II) complex of pyrimidine-4-carboxylic acid was synthesized and characterized through a combination of single-crystal XRD, Ultraviolet-Visible (UV-Vis), and Fourier Transform Infrared Spectroscopy (FT-IR). The ... -
A novel feature and class-based globalization technique for text classification
(Springer, 2023)Text classification is a very important topic in the current era due to the high volume of textual data and handling. Feature selection is one of the most important steps in text classification studies, as well as significantly ... -
A novel feature ranking algorithm for text classification: Brilliant probabilistic feature selector (BPFS)
(Wiley, 2023)Text classification (TC) is a very crucial task in this century of high-volume text datasets. Feature selection (FS) is one of the most important stages in TC studies. In the literature, numerous feature selection methods ... -
A novel filter feature selection method for text classification: Extensive Feature Selector
(Sage Publications Ltd, 2023)As the huge dimensionality of textual data restrains the classification accuracy, it is essential to apply feature selection (FS) methods as dimension reduction step in text classification (TC) domain. Most of the FS methods ... -
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification
(Pergamon-Elsevier Science Ltd, 2021)As a result of the widespread use of power electronic equipment and the increase in consumption, the importance of effective energy policies and the smart grid begins to increase. Nonlinear loads and other loads in electric ... -
A novel improved chef-based optimization algorithm with Gaussian random walk-based diffusion process for global optimization and engineering problems
(Elsevier, 2023)The chef-based optimization algorithm (CBOA) is a human-based method inspired by the relationship between culinary students and chef instructors. The original CBOA does not have a process that separately controls population ... -
A Novel Method for Nasal Dorsal Reconstruction: Permanent Fixation Using Kirschner Wire-Guided Hidden Sutures
(LIPPINCOTT WILLIAMS & WILKINS, 2015)Background: In this study, we aimed to present a novel application and use of Kirschner wire-guided suturing that is less invasive and allows permanent fixation for nasal dorsal reconstruction. Methods: A total of 23 ... -
A novel method to investigate nonlinear advection-diffusion processes
(Elsevier, 2023)In this study, a new approach called the reversed fixed point iteration method (RFPIM) is implemented to solve a class of fundamental partial differential equations, namely viscous and inviscid Burgers equations. The results ... -
A novel molecularly imprinted electrochemical sensor based on graphitic carbon nitride nanosheets decorated bovine serum albumin@MnO2 nanocomposite for zearalenone detection
(Academic Press Inc Elsevier Science, 2024)Zearalenone (ZEA), as a carcinogenic mycotoxin, is widely found in a wide variety of food products such as grains and its carcinogenicity, neurotoxicity, and estrogenic effects on humans were reported. In this report, a ... -
A novel NEUROG3 mutation in neonatal diabetes associated with a neuro-intestinal syndrome
(WILEY, 2018)Neonatal diabetes mellitus (NDM) is a rare form of non-autoimmune diabetes usually diagnosed in the first 6months of life. Various genetic defects have been shown to cause NDM with diverse clinical presentations and variable ... -
A novel nomogram and a simple scoring system for urinary leakage after percutaneous nephrolithotomy
(Brazilian Soc Urol, 2022)Introduction: The present study aimed to investigate the factors of prolonged urinary leakage (PUL) after percutaneous nephrolithotomy (PCNL) and develop a new and simple scoring system to predict it. Patients and Methods: ... -
A Novel Parameter Identification Method for Single-Phase Transformers by Using Real-Time Data
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2014)Equivalent circuit parameters of transformers are related to the condition of their windings. Information concerning winding deformations, failures, and temperature can be acquired by monitoring these parameters. Methods ... -
Novel pH-responsive mixed-charge copolymer brushes based on carboxylic acid and quaternary amine monomers
(WILEY-BLACKWELL, 2013)In this study, we report on the fabrication of tunable mixed-charged copolymer brushes consisting of negatively charged carboxylic acid monomer (4-vinylbenzoic acid, VBA) and positively charged quaternary amine monomer ... -
A novel pipeline on medical object detection for bias reduction: Preliminary study for brain MRI
(Institute of Electrical and Electronics Engineers Inc., 2021)Medical object detection is one of the important methods used in the detection and diagnosis of diseases. In this study, a solution was sought for a bias problem that was not noticed in the testing environment from object ... -
A novel polyp segmentation approach using U-net with saliency-like feature fusion
(Elsevier, 2023)Polyps that pose a serious threat to human life, some of which are not detectable during a colonoscopy. This situation not only reduces the quality of life but also significantly raises healthcare costs. Polyp detection ... -
A novel version of slime mould algorithm for global optimization and real world engineering problems Enhanced slime mould algorithm
(Elsevier, 2022)The slime mould algorithm is a stochastic optimization algorithm based on the oscillation mode of nature's slime mould, and it has effective convergence. On the other hand, it gets stuck at the local optimum and struggles ... -
A novelty optimization approach for drilling of CFRP nanocomposite laminates
(SPRINGER LONDON LTD, 2019)Numerous problems are encountered in drilling of carbon fiber-reinforced polymer composite materials (CFRP) such as delamination, tool wear etc. Delamination has been recognized as a major damage encountered when drilling ... -
Null Cartan curve variations in 3D semi-Riemannian manifold
(Hacettepe Univ, Fac Sci, 2021)The aim of this study is to investigate the variations of the Bishop frame curvatures for null Cartan curves in semi-Riemannian manifolds. The Killing equations in terms of the variations of the Bishop curvatures along the ...
