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Toplam kayıt 648, listelenen: 521-530
A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor
(ELSEVIER, 2023)
The identification of vehicle types plays a critical role in Intelligent Transportation Systems. In this study, battery-operated, easy-to-install, low-cost 3-D magnetic traffic sensors have been developed for vehicle type ...
Dynamic Tuning of Plasmonic Hot-Spot Generation through Cilia-Inspired Magnetic Actuators
(WILEY, 2023)
Soft actuators that draw inspiration from nature are powerful and versatile tools for both technological applications and fundamental research, yet their use in hot-spot engineering is very limited. Conventional hot-spot ...
Parameter uncertainties in evaluating climate policies with dynamic integrated climate-economy model
(SPRINGER, 2024)
Climate change is a complex issue with signifcant scientifc and socio-economic uncertainties, making it difcult to assess
the efectiveness of climate policies. Dynamic Integrated Climate-Economy Models (DICE models) have ...
Electret vibration energy harvesters with symmetrically configured curved-beam hinges
(SPRINGER, 2024)
For vibration energy harvesters, broadband power spectral characteristics are often desirable. One way of achieving
broadband spectrum is to employ curved-beam hinges, utilizing their nonlinear spring characteristics. In ...
Triple Sampling Inference Procedures for the Mean of the Normal Distribution When the Population Coefficient of Variation Is Known
(MDPI, 2023)
This paper discusses the triple sampling inference procedures for the mean of a symmetric distribution-the normal distribution when the coefficient of variation is known. We use the Searls' estimator as an initial estimate ...
HER2-Specific Peptide (LTVSPWY) and Antibody (Herceptin) Targeted Core Cross-Linked Micelles for Breast Cancer: A Comparative Study
(MDPI, 2023)
This study aims to prepare a novel breast cancer-targeted micelle-based nanocarrier,
which is stable in circulation, allowing intracellular drug release, and to investigate its cytotoxicity,
apoptosis, and cytostatic ...
Prediction of Linear Cationic Antimicrobial Peptides Active against Gram-Negative and Gram-Positive Bacteria Based on Machine Learning Models
(MDPI, 2022)
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing ...
Stress Regulation via Being in Nature and Social Support in Adults, a Meta-analysis
(UNIV CALIFORNIA PRESS, 2023)
In this meta-analysis, the authors investigated whether being in nature and emotional social support are reliable strategies to downregulate stress. We retrieved all the relevant articles that investigated a connection ...
Normal Mixture Model-Based Clustering of Data Using Genetic Algorithm
(SPRINGER INTERNATIONAL PUBLISHING AG, 2020)
In this study, a new algorithm was developed for clustering multivariate big data. Normal mixture distributions are used to determine the partitions of variables. Normal mixture models obtained from the partitions of
variables ...
An introduction to non-smooth convex analysis via multiplicative derivative
(TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND, 2019)
In this study, *-directional derivative and *-subgradient are defined using the multiplicative derivative, making a new contribution to non-Newtonian calculus for use in non-smooth analysis. As for directional derivative ...