Titlebook: 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering; ICAIAME 2022 D. Jude Hemanth,Tuncay Yigit,U

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https://doi.org/10.1007/978-3-662-24869-070 MHz and 500 MHz respectively. In the text, the main performance quality values of the antenna as ., radiation patterns and gain are investigated and results are given systematically. The presented antenna has a low profile and basic structure which makes it suitable for the RFID systems.

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Conference proceedings 2023atics for engineering problems. The papers included in the book were accepted and presented in the 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2022), which was held in Baku, Azerbaijan (Azerbaijan Technical University) between May 20 and 22

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https://doi.org/10.1007/978-3-662-24857-7anced. Individuals can share their thoughts, complaints, feelings, and views on a wide range of topics. Because it seeks to identify the orientation of the sentiment present in source materials, sentiment analysis is a key field of research in natural language processing. Sentiment analysis is a nat

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https://doi.org/10.1007/978-3-662-24861-4upling coefficient and the level of the branched power (points) on the height and length of the inhomogeneity, as well as the distribution of the heights of the inhomogeneities, the amplitude distribution of the antenna device with direct and reverse excitation, the calculated radiation patterns of

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https://doi.org/10.1007/978-3-662-24861-4rned by a non-linear system of partial differential equations known as a Brusselator system. The method proposed is based on a combination of higher-order Compact Finite Difference (CFD) scheme and stable time integration scheme which is known as adaptive step-size Runge-Kutta method. The performanc

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https://doi.org/10.1007/978-3-662-24863-8ajor challenge. Using deep learning techniques has remarkably increased the performance of intrusion detection systems due to their high accuracy levels and effectiveness. However, with their complex architectures, deep learning models are black-boxes since their working mechanism for making predict

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https://doi.org/10.1007/978-3-662-24863-8 and quality than direct triangulation of the main image. Different tessellation, point selection and coloring techniques were used for the research, and which technique was better at which point and the advantages it provided were investigated. Image channels are generally used in areas such as imp

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