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| 1 | Subwave- length, compact, resonant patch antennas loaded with metamaterials 显示文摘 | ALUA BILOTTI F ENGHETA N | 2007 | IEEE Trans Antennas Propag2007，55，1： | 1 |
| 2 | Design of miniatur- ized metamaterial patch antennas with μ-negative load- ing显示文摘 | BILOTTI F ALUA VEGNI L | 2008 | IEEETrans Antennas Propag2008，56，6： | 1 |
| 3 | Guided modes in a waveguide filled with a pair of single-negative (SNG), double-negative ( DNG), and/or double-positive ( DPS ) layers 显示文摘 | AluA Engheta N | 2004 | IEEE Transactions on Microwave Theory and Techniques2004，52，1： | 1 |
| 4 | Pairing an epsilon-negative slab with a munegative slab: Resonance, tunneling and transparency 显示文摘 | AluA Engheta N | 2003 | IEEE Trans Antennas and Propagation ( Special Issue)2003，51，10： | 1 |
| 5 | Multidisciplinary re- search network on health and disability training on the International Classification of Functioning, Disability and Health, Ethics, and Hu- man Rights 显示文摘 | Ajovalasit D Cerniauskaite M Aluas M | 2012 | Am J Phys Med Rehabil2012，91，13： | 1 |
| 6 | A Deep Learning-Based Approach for Road Surface Damage Detection显示文摘Timely detection and elimination of damage in areas with excessive vehicle loading can reduce the risk of road accidents.Currently,various methods of photo and video surveillance are used to monitor the condition of the road surface.The manual approach to evaluation and analysis of the received data can take a protracted period of time.Thus,it is necessary to improve the procedures for inspection and assessment of the condition of control objects with the help of computer vision and deep learning techniques.In this paper,we propose a model based on Mask Region-based Convolutional Neural Network(Mask R-CNN)architecture for identifying defects of the road surface in the real-time mode.It shows the process of collecting and the features of the training samples and the deep neural network(DNN)training process,taking into account the specifics of the problems posed.For the software implementation of the proposed architecture,the Python programming language and the TensorFlow framework were utilized.The use of the proposed model is effective even in conditions of a limited amount of source data.Also as a result of experiments,a high degree of repeatability of the results was noted.According to the metrics,Mask R-CNN gave the high detection and segmentation results showing 0.9214,0.9876,0.9571 precision,recall,and F1-score respectively in road damage detection,and Intersection over Union(IoU)-0.3488 and Dice similarity coefficient-0.7381 in segmentation of road damages. | Bakhytzhan Kulambayev Gulbakhram Beissenova Nazbek Katayev Bayan Abduraimova Lyazzat Zhaidakbayeva Alua Sarbassova Oxana Akhmetova Sapar Issayev Laura Suleimenova Syrym Kasenov Kunsulu Shadinova Abay Shyrakbayev | 2022 | Computers, Materials & Continua2022，，11： | 0 |
| 7 | Influence of seven levels of chemical/biostimulator protection on amino acid profile and yield traits in wheat显示文摘Biostimulators combined with pesticides can reduce the need for chemical crop protection to yield healthy wheat with high grain quality and nutritional value.The goal of this four-year field study was an assessment of the effects of seven levels of sulfonylurea herbicide,morpholine and triazole fungicides,and humic biostimulator protection on concentrations of 20 amino acids(AAs)and on yield parameters under diverse climatic conditions.Application of pesticides and biostimulators reduced amino acid concentrations.Sulfonylurea applied alone reduced AAs least.Chemical(herbicide+fungicide)protection or its combination with humic biostimulator were the most effective strategies for increasing yield,thousand-kernel weight,spike number,grain surface area,and wet gluten.Reduced dosages of fungicides showed effects on AA content and crop parameter values similar to those of the recommended dosages of fungicides and are in line with the European Commission’s “From Farm to Fork”strategy.Humic biostimulators as agents supporting pesticide protection should be optimized for wheat growth stage to achieve the most desirable wheat parameters and implemented in agricultural practice. | Piotr Iwaniuk Rafal Konecki Piotr Kaczynski Alua Rysbekova Bozena Lozowicka | 2022 | The Crop Journal2022，10，4： | 0 |
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