https://dspace.qou.edu/handle/194/893 المجلة الفلسطينية للتكنولوجيا والعلوم التطبيقية Tue, 07 Apr 2026 18:36:48 GMT 2026-04-07T18:36:48Z https://dspace.qou.edu:443/xmlui/bitstream/id/050c284c-ff54-4844-81a8-3e8bdd87d62e/journalThumbnail_ar_IQ (2).jpg https://dspace.qou.edu/handle/194/893 https://dspace.qou.edu/handle/194/948 Predict the Main Factors that Affect the Vegetable Production in Palestine Using WEKA Data Mining Tool Abuzir, Dr. Yousef; Al-Quds Open University This research presents an applied study using data mining to discover some factors affecting agricultural vegetable production and predicting the yield production in Palestine. In this research, we are interested in finding some factors that will influence the agricultural production to increase the amount of production to benefit the farmers in particular and individual, society in general. To achieve this goal we used Waikato’s Knowledge Analysis Environment (WEKA) tool and algorithms such as K-Means, Kohonen’s Self Organizing Map (KSOM) and EM to identify the most influential factors that increase the production of agricultural vegetable. This research has proved that K-Means is worthwhile to increase the efficiency and reliability of the prediction process of determining the factors that affect the yield production and KSOM the most accurate to predict the yield production. https://dspace.qou.edu/handle/194/948 https://dspace.qou.edu/handle/194/947 Optimization of the Neural Networks Parameters Dweib, Dr.Mohammad; Al-Quds Open University; Abuzir, Dr. Yousef; Al-Quds Open University Neural Networks (NN) is an effective approach used in many fields such as medicine, industry, security, stock market prediction, character recognition, image processing and many other fields. The main problem in the use of Artificial Neural Networks (ANN) is the control of parameters, since there is no explicit and specific way to determine the optimal values of Neural Network parameters. The aim of this study is to choose the best parameters that can be used to model and optimize the number of hidden layers, number of neurons contained in there, momentum, delta rule, transition functions and multidimensional network. https://dspace.qou.edu/handle/194/947 https://dspace.qou.edu/handle/194/945 Effect of High Magnetic Field Annealing on Terfenol-D (Tb0.3Dy0.7Fe1.92) films Prepared by Sol-Gel Method El-Kawni, Dr. Marwan Izzat; Al-Quds Open University; Garmestani, Prof. Hamid; Al-Quds Open University Terfenol-D Tb0.3Dy0.7Fe1.92 films were deposited on cube textured Ni substrate by sol-gel dip coating process. The samples were annealed in high magnetic field (20 T) parallel and perpendicular to the surface of the film. The filmswere characterized using SEM, XRD and AFM analysis. It was observed that the direction of the applied magnetic field had a clear effect on the microstructure of the film. https://dspace.qou.edu/handle/194/945 https://dspace.qou.edu/handle/194/946 Java-based Program for Computing the Wiener Index of a Body - Centered Cubic Graph Mujahed, Dr. Hamzeh; Al-Quds Open University; Basbous, Dr. Raed; Al-Quds Open University In chemical graph theory, Wiener index is a topological index of a molecule. The Wiener index of a graph G is equal to the sum of distances between all pairs of distinct vertices of G. It has been one of main descriptors that correlate a chemical compound’s molecular graph with experimentally gathered data regarding the compound’s characteristics. In this paper we calculate the Wiener index for body-centered cubic grid connected in a line. A Java-based program is designed to automatically compute the distances between centers, centers and border vertices, border vertices and the sum of all distances (Wiener index) for such grid. https://dspace.qou.edu/handle/194/946