Geographic Information Systems (GIS) are obtaining a significant role in handling strategic applications in which data are organized as records of multiple layers in a database. Furthermore, GIS provide multi-functions like data collection, analysis, and presentation. Geographic information systems have assured their competence in diverse fields of study via handling various problems for numerous applications. However, handling a large volume of data in the GIS remains an important issue. The biggest obstacle is designing a spatial decision-making framework focused on GIS that manages a broad range of specific data to achieve the right performance. It is very useful to support decision-makers by providing GIS-based decision support syste

 

    The combination of wavelet theory and neural networks has lead to the development of wavelet networks. Wavelet networks are feed-forward neural networks using wavelets as activation function. Wavelets networks have been used in classification and identification problems with some success.

  In this work we proposed a fuzzy wavenet network (FWN), which learns by common back-propagation algorithm to classify medical images. The library of medical image has been analyzed, first. Second, Two experimental tables’ rules provide an excellent opportunity to test the ability of fuzzy wavenet network due to the high level of information variability often experienced with this type of images.

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The aim of the research is to show the importance of international auditing standards and the effect of this in reducing the incidence of financial irregularities in government service units and how to address them. The research adopted the descriptive, analytical and inductive approaches. In the analytical approach, a questionnaire model was designed and distributed to internal auditors in some of the subordinate government units. For the Ministry of Health, appropriate statistical methods were used that showed the extent of the general understanding of the internal auditor’s relationship with international standards and the impact of this on preserving public money and the role of the internal auditor in detecting financial irregulariti

In this paper, the goal of proposed method is to protect data against different types of attacks by unauthorized parties. The basic idea of proposed method is generating a private key from a specific features of digital color image such as color (Red, Green and Blue); the generating process of private key from colors of digital color image performed via the computing process of color frequencies for blue color of an image then computing the maximum frequency of blue color, multiplying it by its number and adding process will performed to produce a generated key. After that the private key is generated, must be converting it into the binary representation form. The generated key is extracted from blue color of keyed image then we selects a c

Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

ان العلاقة ما بين الحكومة المركزية واقليم كردستان يحكمها نوعا من مظاهر التوتر الذي يتعلق بالاختصاصات الموزعة ما بينهما، والمشكلة الاساسية ذات علاقة بالتأويل الدستوري، فمنذ العام 2003 ومروراً بالإعلان الدستوري ونحن نعاني من قضية شائكة وهي ما الصلاحيات التي تتمتع بها الحكومة المركزية قياسا بالصلاحيات التي يتمتع بها اقليم كردستان، وتوزيع الثروات والموارد الطبيعية وغيرها من المسائل الخلافية بين ممثلي الكتل ال