Research and publications in Islamic perspective (part 2: experimental results)

This article is part 2 of “Research and Publications in Islamic Perspective” and is focuses on the experimental results, while part 1 was an introductory on this topic. Hence, Islam emphases the need to establish facts based on experience. The Prophet (peace and blessings be upon him) said in the case of date trees pollination: “You have better knowledge (of a technical skill) in the affairs of your professions” (Muslim)

A model of using social media for collaborative learning to enhance learners’ performance on learning

Social media has been always described as the channel through which knowledge is transmitted between communities and learners. This social media has been utilized by colleges in a way to encourage collaborative learning and social interaction. This study explores the use of social media in the process of collaborative learning through learning Quran and Hadith. Through this investigation, different factors enhancing collaborative learning in learning Quran and Hadith in the context of using social media are going to be examined. 340 respondents participated in this study. The structural equation modeling (SEM) was used to analyze the data obtained. Upon analysis and structural model validities, the study resulted in a model used for measuring the influences of the different variables. The study reported direct and indirect significant impacts of these variables on collaborative learning through the use of social media which might lead to a better performance by learner

Classification of Qur’anic topics based on imbalanced classification

Imbalanced classification techniques have been applied widely in the field of data mining. It is used to classify the imbalanced classes that are not equal in the number of samples. The problem of imbalanced classes is that the classification performance tends to the class with more samples while the class with few samples will obtain poor performance. This problem can be occurred in the Qur’anic classification due to the different in the number of verses. Many studies classified Qur’anic verses, which depended on the traditional classification. However, no study classified Qur’anic topics based on the techniques of imbalanced classification. Therefore, this paper aims to apply the methods of imbalanced classification as synthetic minority oversampling technique (SMOTE), random over sample (ROS), and random under sample (RUS) methods to classify the Qur’anic topics that are imbalanced. Many metrics were used in this research to evaluate the experimental results. These metrics are sensitivity/recall, specificity, overall accuracy, f-measure, g-mean, and matthews correlation coefficient (MCC). The results showed that the Qur’anic classification performance improved when imbalanced classification techniques were applied

Classification of Quranic topics using ensemble learning

Abstract—the real datasets in the world usually are imbalanced; the number of samples for their classes is not equal. Classifying these datasets makes the classifiers pay attention to the class with more samples than the classes with fewer samples. The Qur’anic dataset can be considered an imbalanced dataset because verses of the Qur’anic topics are not equal. Many studies have been performed to classify Qur’anic text using different classifiers. However, few studies classified the Qur’anic verses based on Imbalanced Learning (IL). So, this work aims to classify the Qur’anic text using Ensemble methods, Boosting and Bagging. The base classifiers of these methods were LibSVM, Naïve Bayes, KNN, and J48. Three techniques are conducted in this paper based on the standard classifiers. The three techniques are: implementing the base classifiers alone, implementing these classifiers with the Boosting method, and implementing the classifiers with the Bagging method. The results showed that the Quranic classification performance was improved when the ensemble methods were applied for the imbalanced Qur’anic verses in the standard classifiers

تعلم اللغة العربية بمساعدة الحاسب عن طريق الكلمات المتشابهة = Computer assisted language learning for Arabic using cognates

يتحدث الناس حول العالم بالعديد من اللغات المختلفة والتي تمتد بعض منها إلى مئات أو الآف السنين، ونشأت هذه اللغات بطرق مختلفة وانحدر بعض منها من لغات أخرى، ومع مرور الوقت توسع استخدام بعض هذه اللغات لتصبح لغات عالمية بينما تعرضت لغات أخرى إلى الاندثار. كما أن العديد من اللغات قد تعرضت للتحوير الذي يطرأ بشكل طبيعي على أي لغة مع مرور الوقت وبنفس الوقت تمت ولادة لغات جديدة من أعقاب لغات أخرى ولا شك ان هناك تشابهًا كبيرًا بين هذه اللغات الطبيعية، وتختلف نسبة التشابه ليشكل في بعض الأحيان ما يزيد عن نصف كلمات بعض اللغات والتي تعتبر مستلة من لغات أخرى. توسع استخدامات الحاسب الآلي في السنوات الماضية بشكل كبير حتى شملت استخداماته تعلم وتعليم اللغات الحية، ومن هذه اللغات حظيت اللغة الانجليزية بجانب كبير من هذا الاهتمام بينما لم تحظ اللغة العربية إلا على جانب قليل منه، وقد طورت في السنوات القليلة الماضية العديد من البرنامج والتطبيقات المستخدمة لتعليم اللغات ومنها اللغة العربية عن طريق الدروس والأمثلة والمسابقات والأسئلة والأجوبة والألعاب الحيوية التعليمية، بينما لا يوجد أي برنامج يقوم باكتشاف الكلمات المتشابهة في اللفظ والمعنى بين اللغة العربية واللغات الأخرىبشكل تلقائي ويستفيد من ذلك في تعليم اللغة، والتي تساعد هذه العملية على تسريع التعلم بشكل سهل وفعال وممتع، حيث ان المستخدم سيسهل عليه تذكر الكلمات ذات اللفظ المتشابه مع لغته الأم. يهدف هذا البحث إلى استخدام الحاسب وتقنية المعلومات لتسريع تعلم وتعليم اللغة العربية للمتحدثين بغيرها (اللغة الانجليزية أنموذجا في هذا البحث) وذلك عن طريق التركيز على الكلمات المتشابهة بين اللغة العربية واللغة الانجليزية، سيتمكن المتعلم عن طريق البرنامج من إنشاء وإضافة الدروس وسيتم استخراج الكلمات المتشابهة آلياً عن طريق الحاسب، سيتم استخدام المنهج التحليلي لدراسة وتحليل الطرق والخوارزميات المستخدمة لإيجاد التشابه بين اللغات المختلفة ومن ثم تطوير نظام لإيجاد التشابه بين اللغة العربية والانجليزية. وتعد هذه الأنظمة إحدى طرائق معالجة اللغات الطبيعية. ***** People around the world speak many different languages, some of which extend back to hundreds or thousands of years, and these languages arose in different ways and some of them descended from other languages. Many languages have undergone modification that occurs naturally in any language with time. At the same time, new languages were born from other languages, and for sure there are large similarities between these languages, and the similarity rate varies. Therefore, it sometimes can be more than half of the language’s words, which are considered derived from other languages. The use of computers in the past years has expanded greatly to be used in various aspects of human life including learning and teaching living languages. Among these languages, English language received a large part of this attention, while the Arabic language received only a small part of it. In the past few years, many programs and applications used to teach Languages, including the Arabic language, through lessons, examples, competitions, questions and answers in addition to educational games. While there is no program that detects words that are similar in pronunciation and meaning between Arabic and other languages, this process helps to accelerate learning in an easy, effective and enjoyable way. Thus, the learner will find it easier for him to remember words with pronunciation similar to his mother tongue. This research aims to use the computer and information technology to accelerate the learning and teaching of the Arabic language to non-native speakers (the English language is a model in this research) by focusing on the similar words (cognates) between Arabic and English, through the program, the learner will be able to create and add lessons, then the cognates will be extracted automatically by computer. The analytical approach will be used to study the methods and algorithms used to find similarities between different languages, and then developing a new algorithm to find similarities between Arabic and English languages, and this method is considered one of the Natural Language Processing techniques

Regularized multiframe super-resolution image reconstruction using linear and nonlinear filters

The primary goal of the multiframe super-resolution image reconstruction is to produce an image with a higher resolution by integrating information extracted from a set of corresponding images with low resolution, which is used in various fields. However, super-resolution image reconstruction approaches are typically affected by annoying restorative artifacts, including blurring, noise, and staircasing effect. Accordingly, it is always difficult to balance between smoothness and edge preservation. In this paper, we intend to enhance the efficiency of multiframe super-resolution image reconstruction in order to optimize both analysis and human interpretation processes by improving the pictorial information and enhancing the automatic machine perception. As a result, we propose new approaches that firstly rely on estimating the initial high-resolution image through preprocessing of the reference low-resolution image based on median, mean, Lucy-Richardson, and Wiener filters. )is preprocessing stage is used to overcome the degradation present in the reference low-resolution image, which is a suitable kernel for producing the initial high-resolution image to be used in the reconstruction phase of the final image. then, L2 norm is employed for the data-fidelity term to minimize the residual among the predicted high-resolution image and the observed low-resolution images. Finally, bilateral total variation prior model is utilized to restrict the minimization function to a stable state of the generated HR image. )e experimental results of the synthetic data indicate that the proposed approaches have enhanced efficiency visually and quantitatively compared to other existing approaches

Research and publications in Islamic perspective (part 4: publications)

This article is the 4th part in the series of the “Research and Publications in Islamic Perspective”, while part 1 was about the introductory on this topic, part 2 was focusing on experimental results of the research, and part 3 discussed the presentation issues which is needed in any research, in this article (part 4) we are going to discuss the publication of the results & finding of any research and the important of this matter from Islamic perspective

Research and publications in Islamic perspective (part 3: presentation)

This article is the 3rd part of the “Research and Publications in Islamic Perspective”, since part 1 was an introductory on this topic, while part 2 was focusing on experimental results of the research. This part focuses on the presentation, which is needed in any research and publication, the presentation of the work should be clear, simple and transparent., in this article we are going to discuss some of these issues from Islamic perspective

Research and publications in Islamic perspective (part 5: innovation and creativity)

This is the fifth article in the series titled "Research and Publications in Islamic Perspective." While the first article discussed the introduction to this subject, the second article focused on the experimental results of the research, the third article discussed the presentation issues that are necessary in any research, and the fourth article discussed the importance of publishing research work and sharing one's knowledge with others, in this article (part 5), we are going to talk about the innovation and creativity that goes into conducting any research