A measurement development study on charismatic prophet image: sample of the prophet muhammad by Hakkı KARAŞAHİN

“…This research tries to show how can a valid and reliable measurement tool be developed in understanding and explaining attitudes and behaviors related to Muhammad's (pbuh) charismatic structural features? It seeks to understand the problem of what are the different factors or components of the charisma of the Prophet? …”
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The influence of corporate governance international models on the development of accounting practice by V.Yu. Tsaruk

“…The characteristic features of the domestic model of corporate governance have been analyzed. …”
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Complex dark environment-oriented object detection method based on YOLO-AS by Bin Ren, Zhaohui Xu, Junwu Zhao, Rujiang Hao, Jianchao Zhang

“…Abstract For object detection in complex dark environments, the existing methods generally have problems such as low detection accuracy, false detection and missed detection. …”
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Blind audio watermarking mechanism based on variational Bayesian learning by Xin TANG, Zhao-feng MA, Xin-xin NIU, Yi-xian YANG

“…In order to improve the performance of audio watermarking detection,a blind audio watermarking mechanism using the statistical characteristics based on MFCC features of audio frames was proposed.The spread spectrum watermarking was embedded in the DCT coefficients of audio frames.MFCC features extracted from watermarked audio frames as well as un-watermarked ones were trained to establish their Gaussian mixture models and to estimate the parameters by vatiational Bayesian learning method respectively.The watermarking was detected according to the maximum likelihood principle.The experimental results show that our method can lower the false detection rate compared with the method using EM algorithm when the audio signal was under noise and malicious attacks.Also,the experiments show that the proposed method achieves better performance in handling insufficient training data as well as getting rid of over-fitting problem.…”
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Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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VMD and CNN-Based Classification Model for Infrasound Signal by Quanbo LU, Mei LI

“…The traditional classification approach extracts the features and classifies the infrasound events. However, due to the manual feature extraction, its classification performance is not satisfactory. …”
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Inter-Episodic Relationshi ps in Children's Narrative by Ann Darnton

“…It is, therefore, of considerable importance that the teachers of young children develop an awareness of the main features of narrative discourse, an understanding of the way in which those discourse features may be organised in order to create a coherent text and some knowledge of the likely evelopmental progression of the child's awareness of narrative discourse organisation. …”
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Study on domain adaptation of medical data based on generative adversarial network by Hufei YU, Jingxi WEN, Jiang XIN, Yan TANG

“…In the study of medical imaging aided diagnosis,researchers often collect a lot of training data coming from different hospitals (named variety fields).But because of the certain field has insufficient training data,the deep learning model would get very poor performance on the test data of this field.To mitigate this problem,a method to study domain adaptation of the difference between male and female brain images based on the generative adversarial network was proposed.The data distribution of different domains was learned and the key features were extracted by using the generative adversarial network,and then the differences between male and female brain images in different domains were studied based on the extracted key features.Experiments show that the method can also achieve more than 80% recognition accuracy in the domain with only a small amount of data involved in training.…”
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Deep learning autoencoder approach: Automatic recognition of artistic Arabic calligraphy types by Rami Al-Hmouz

“…Recognition of Arabic calligraphy types is a challenging problem. Difficulties include similarities among different types, overlap between letters, and letters that assume different shapes. …”
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BLSTM based night-time wildfire detection from video. by Ahmet K Agirman, Kasim Tasdemir

“…Distinguishing fire from non-fire objects in night videos is problematic if only spatial features are to be used. Those features are highly disrupted under low-lit environments because of several factors, such as the dynamic range limitations of the cameras. …”
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Facial Emotion Images Recognition Based On Binarized Genetic Algorithm-Random Forest by Murad Ibrahim Husin Alzawali, Yusliza Yusoff, Razana Alwee, Zuriahati Mohd Yunos, Mohamad Shukor Talib, Haswadi Hassan, Fahad Taha AL-Dhief, Musatafa Abbas Abbood Albadr, Majid Razaq Mohamed Alsemawi, Sharifah Zarith Rahmah Syed Ahmad

“…Moreover, the most common problem that must be resolved in face emotion recognition systems is the feature extraction methods, which is comparable to traditional manual feature extraction methods. …”
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Nightmarish Traits in psychological film by Asia Ali Mahmoud, Alaa El Din Abdul Majeed Jassim

“…With an expressive artistic vision. Hence, the research problem presented was crystallized in the following question: What are the mechanisms by which nightmarish features operate in psychological films? …”
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INTERACTION IN AN EDUCATIONAL ENVIRONMENT WITH VIRTUAL AND AUGMENTED REALITY by Svitlana H. Lytvynova, Natalia V. Soroko

“… The article is devoted to the problem and features of the use of virtual and augmented reality at general school. …”
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Joint simplification of various types spatial objects while preserving topological relationships by Olga P. Yakimova, Dmitriy M. Murin, Vladislav G. Gorshkov

“…Considering coverings and mesh structures allows us to reduce the more general problem of topological conflict correction to the problem of resolving topological conflicts within a single mesh cell. …”
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Identifying factors affecting the distribution strategy in the food industry with the attitude of marketing and online sales by solmaz seyedghafouri, Vahid nasehifar, Farid askari

“…According to the results of the research, the following suggestions are presented: - Examine the features, characteristics and benefits of their product in detail. …”
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Forecast of oil and gas reservoirs of the Sea of Okhotsk based on interpretation processing of seismic material by А. К. Shatyrov

“…This article analyses the results of geological and geophysical studies conducted in the Okhotsk Sea area with the purpose of developing methods for processing seismic information in combination with other data to solve the problems of forecasting hydrocarbon deposits.Aim. Solving problems of forecasting hydrocarbon deposits through the development of a structural and technological scheme for prospecting and evaluation of a geological and geophysical model to identify images of oil and gas deposits.Materials and methods. …”
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Neology of Arabic in Indonesia by Uki Sukiman

“…Many of these new words and terms have been featured in one of the Arabic language magazines which is Alo Indonesia. …”
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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

“…Bayesian image analysis methods are commonly applied to solve image analysis problems such as noise reduction, feature enhancement, and object detection. …”
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SIFO: Secure Computational Infrastructure Using FPGA Overlays by Xin Fang, Stratis Ioannidis, Miriam Leeser

“…However, these implementations are inefficient, and therefore GC is not widely used, especially for large problems. This research investigates, implements, and evaluates secure computation generation using a heterogeneous computing platform featuring FPGAs. …”
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THE METOD OF SYNTHESIS OF QUASI-DUAL-BAND MATCHING DEVICE by M. A. Yantsevich, H. A. Filipovich

“…The modified frequency transformation can be applied to all types oftraditional approximations of arbitrary orders in synthesizing broadband frequency-selective matching devices. The distinctive feature of this technique is in the use of generalized Darlington’s synthesis for solving the problems of broadband matching of resistances in a lumped element basis with the application of frequency reponses obtained through modified frequency transformation. …”
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