Huda Al-qozani - Academia.edu (original) (raw)
Papers by Huda Al-qozani
International Journal of Computer Applications Technology and Research, Feb 25, 2018
Text classification problem is a set of documents be classified into a predefined set of categori... more Text classification problem is a set of documents be classified into a predefined set of categories, each document is classified based on a set of features (words). However, some of the words not relevant to a category which causes a gap between words relevance in a document. A lot of research articles in public databases, and The digitization of critical medical information such as lab reports, patients records, research papers, and anatomic images tremendous amounts of biomedical research data are generated every day. So that, the classification this data and retrieving information relevant to information users' needs have been a primary research issue in the field of Information Retrieval, and the adoption of classification has been applied to tackle this particular problem. In this paper, we propose a hybrid model for the classification of biomedical texts according to their content, using Association Rules and Hidden Markov Model as classifier. In order to demonstrate it, we present a set of experiments performed on OHSUMED biomedical text corpora. Our classifier compared with Naive Bayes and Support Vector Machine models. The evaluation result shows that the proposed classification is complete and accurate when compared with Naive Bayes and Support Vector Machine models.
International Journal of Computer Applications Technology and Research, 2018
Text classification problem is a set of documents be classified into a predefined set of categori... more Text classification problem is a set of documents be classified into a predefined set of categories, each document is classified based on a set of features (words). However, some of the words not relevant to a category which causes a gap between words relevance in a document. A lot of research articles in public databases, and The digitization of critical medical information such as lab reports, patients records, research papers, and anatomic images tremendous amounts of biomedical research data are generated every day. So that, the classification this data and retrieving information relevant to information users' needs have been a primary research issue in the field of Information Retrieval, and the adoption of classification has been applied to tackle this particular problem. In this paper, we propose a hybrid model for the classification of biomedical texts according to their content, using Association Rules and Hidden Markov Model as classifier. In order to demonstrate it, we present a set of experiments performed on OHSUMED biomedical text corpora. Our classifier compared with Naive Bayes and Support Vector Machine models. The evaluation result shows that the proposed classification is complete and accurate when compared with Naive Bayes and Support Vector Machine models.
Saba Journal of Information Technology and Networking (SJITN), 2018
Abstract Internet of Things (IoT) is changing everything by its ability to connect devices (smar... more Abstract
Internet of Things (IoT) is changing everything by its ability to connect devices (smart watches, smart appliances, cars, light bulbs, buildings and an array of other devices that collect and transfer data, often without any human involvement ) to a digital network, at any time, from any device. In addition, providing people with the greater flexibility to consume content and knowledge when and where they would like. The IoT remains to confirm its important position in the context of Information and Communication Technologies and the development of society. In the higher education, more devices become connected; campus leaders will be able to extract much more value from the continuous stream of data and information, helping them move from a transactional relationship with students, faculty, administrators, and providers to an iterative process. The purpose of this study is to find out the impact of the IoT on higher education with future that brings every day new development, smart devices and advancement in technology. In addition, this paper presents a review of the traditional education previous (classroom education) and online education. To conclude, IoT has overcome the disadvantages of online education; moreover, The IoT removes the traditional barriers to teaching and learning. On the other hand, understanding IoT with its advantages and disadvantages will bring the real vision of it, and here we can benefit from it in great well.
The e-learning has become an important part of higher education in light of the crises facing hum... more The e-learning has become an important part of higher education in light of the crises facing humanity, including wars, displacement, and the epidemic. On the other hand, information, and communication technology increases the use of digital devices for many purposes in the world, especially education, through which learning can be achieved, such as higher satisfaction, motivation, and increased student participation. This paper provides a background for e-learning in higher education institutions and reviews the concept of e-learning, its requirements, and the various strategies of e-learning, in higher education institutions.
The e-learning has become an important part of higher education in light of the crises facing hum... more The e-learning has become an important part of higher education in light of the crises facing humanity, including wars, displacement, and the epidemic. On the other hand, information, and communication technology increases the use of digital devices for many purposes in the world, especially education, through which learning can be achieved, such as higher satisfaction, motivation, and increased student participation.
Internet of Things (IoT) is changing everything through its ability to connect several devices (s... more Internet of Things (IoT) is changing everything through its ability to connect several devices (smart watches, smart appliances, cars, light bulbs, buildings and an array of other devices that collect and transfer data, often without any human involvement ) to a digital network, at any time, from any device. In addition to providing people with the greater flexibility to consume content and knowledge whenever and wherever they wish. The IoT confirms its important position in the context of Information and Communication Technologies and the development of society. In higher education, more devices are connected; campus leaders will be able to extract much more value from the continuous stream of data and information, helping them move from a transactional relationship with students, faculty, administrators, and providers to an iterative process. The purpose of this study is to find out the impact of the IoT on higher education on the future where new development, smart devices and advancement in technology advance every day. In addition, this paper presents a review of the traditional education (previous classroom education) and online education. In conclusion, IoT has overcome the disadvantages of online education; moreover, IoT removes the traditional barriers of teaching and learning. On a different note, understanding IoT with its advantages and disadvantages will help reach its aimed vision, and here we can benefit from it greatly.
Text classification problem is a set of documents be classified into a predefined set of categori... more Text classification problem is a set of documents be classified into a predefined set of categories, each document is classified based on a set of features (words). However, some of the words not relevant to a category which causes a gap between words relevance in a document. A lot of research articles in public databases, and The digitization of critical medical information such as lab reports, patients records, research papers, and anatomic images tremendous amounts of biomedical research data are generated every day. So that, the classification this data and retrieving information relevant to information users' needs have been a primary research issue in the field of Information Retrieval, and the adoption of classification has been applied to tackle this particular problem. In this paper, we propose a hybrid model for the classification of biomedical texts according to their content, using Association Rules and Hidden Markov Model as classifier. In order to demonstrate it, we present a set of experiments performed on OHSUMED biomedical text corpora. Our classifier compared with Naive Bayes and Support Vector Machine models. The evaluation result shows that the proposed classification is complete and accurate when compared with Naive Bayes and Support Vector Machine models.
articles by Huda Al-qozani
Kut University College Journal for Humanitarian Science, 2021
The e-learning has become an important part of higher education in light of the crises facing hum... more The e-learning has become an important part of higher education in light of the crises facing humanity, including wars, displacement, and the epidemic. On the other hand, information, and communication technology increases the use of digital devices for many purposes in the world, especially education, through which learning can be achieved, such as higher satisfaction, motivation, and increased student participation. This paper provides a background for e-learning in higher education institutions and reviews the concept of e-learning, its requirements, and the various strategies of e-learning, in higher education institutions.
International Journal of Computer Applications Technology and Research, Feb 25, 2018
Text classification problem is a set of documents be classified into a predefined set of categori... more Text classification problem is a set of documents be classified into a predefined set of categories, each document is classified based on a set of features (words). However, some of the words not relevant to a category which causes a gap between words relevance in a document. A lot of research articles in public databases, and The digitization of critical medical information such as lab reports, patients records, research papers, and anatomic images tremendous amounts of biomedical research data are generated every day. So that, the classification this data and retrieving information relevant to information users' needs have been a primary research issue in the field of Information Retrieval, and the adoption of classification has been applied to tackle this particular problem. In this paper, we propose a hybrid model for the classification of biomedical texts according to their content, using Association Rules and Hidden Markov Model as classifier. In order to demonstrate it, we present a set of experiments performed on OHSUMED biomedical text corpora. Our classifier compared with Naive Bayes and Support Vector Machine models. The evaluation result shows that the proposed classification is complete and accurate when compared with Naive Bayes and Support Vector Machine models.
International Journal of Computer Applications Technology and Research, 2018
Text classification problem is a set of documents be classified into a predefined set of categori... more Text classification problem is a set of documents be classified into a predefined set of categories, each document is classified based on a set of features (words). However, some of the words not relevant to a category which causes a gap between words relevance in a document. A lot of research articles in public databases, and The digitization of critical medical information such as lab reports, patients records, research papers, and anatomic images tremendous amounts of biomedical research data are generated every day. So that, the classification this data and retrieving information relevant to information users' needs have been a primary research issue in the field of Information Retrieval, and the adoption of classification has been applied to tackle this particular problem. In this paper, we propose a hybrid model for the classification of biomedical texts according to their content, using Association Rules and Hidden Markov Model as classifier. In order to demonstrate it, we present a set of experiments performed on OHSUMED biomedical text corpora. Our classifier compared with Naive Bayes and Support Vector Machine models. The evaluation result shows that the proposed classification is complete and accurate when compared with Naive Bayes and Support Vector Machine models.
Saba Journal of Information Technology and Networking (SJITN), 2018
Abstract Internet of Things (IoT) is changing everything by its ability to connect devices (smar... more Abstract
Internet of Things (IoT) is changing everything by its ability to connect devices (smart watches, smart appliances, cars, light bulbs, buildings and an array of other devices that collect and transfer data, often without any human involvement ) to a digital network, at any time, from any device. In addition, providing people with the greater flexibility to consume content and knowledge when and where they would like. The IoT remains to confirm its important position in the context of Information and Communication Technologies and the development of society. In the higher education, more devices become connected; campus leaders will be able to extract much more value from the continuous stream of data and information, helping them move from a transactional relationship with students, faculty, administrators, and providers to an iterative process. The purpose of this study is to find out the impact of the IoT on higher education with future that brings every day new development, smart devices and advancement in technology. In addition, this paper presents a review of the traditional education previous (classroom education) and online education. To conclude, IoT has overcome the disadvantages of online education; moreover, The IoT removes the traditional barriers to teaching and learning. On the other hand, understanding IoT with its advantages and disadvantages will bring the real vision of it, and here we can benefit from it in great well.
The e-learning has become an important part of higher education in light of the crises facing hum... more The e-learning has become an important part of higher education in light of the crises facing humanity, including wars, displacement, and the epidemic. On the other hand, information, and communication technology increases the use of digital devices for many purposes in the world, especially education, through which learning can be achieved, such as higher satisfaction, motivation, and increased student participation. This paper provides a background for e-learning in higher education institutions and reviews the concept of e-learning, its requirements, and the various strategies of e-learning, in higher education institutions.
The e-learning has become an important part of higher education in light of the crises facing hum... more The e-learning has become an important part of higher education in light of the crises facing humanity, including wars, displacement, and the epidemic. On the other hand, information, and communication technology increases the use of digital devices for many purposes in the world, especially education, through which learning can be achieved, such as higher satisfaction, motivation, and increased student participation.
Internet of Things (IoT) is changing everything through its ability to connect several devices (s... more Internet of Things (IoT) is changing everything through its ability to connect several devices (smart watches, smart appliances, cars, light bulbs, buildings and an array of other devices that collect and transfer data, often without any human involvement ) to a digital network, at any time, from any device. In addition to providing people with the greater flexibility to consume content and knowledge whenever and wherever they wish. The IoT confirms its important position in the context of Information and Communication Technologies and the development of society. In higher education, more devices are connected; campus leaders will be able to extract much more value from the continuous stream of data and information, helping them move from a transactional relationship with students, faculty, administrators, and providers to an iterative process. The purpose of this study is to find out the impact of the IoT on higher education on the future where new development, smart devices and advancement in technology advance every day. In addition, this paper presents a review of the traditional education (previous classroom education) and online education. In conclusion, IoT has overcome the disadvantages of online education; moreover, IoT removes the traditional barriers of teaching and learning. On a different note, understanding IoT with its advantages and disadvantages will help reach its aimed vision, and here we can benefit from it greatly.
Text classification problem is a set of documents be classified into a predefined set of categori... more Text classification problem is a set of documents be classified into a predefined set of categories, each document is classified based on a set of features (words). However, some of the words not relevant to a category which causes a gap between words relevance in a document. A lot of research articles in public databases, and The digitization of critical medical information such as lab reports, patients records, research papers, and anatomic images tremendous amounts of biomedical research data are generated every day. So that, the classification this data and retrieving information relevant to information users' needs have been a primary research issue in the field of Information Retrieval, and the adoption of classification has been applied to tackle this particular problem. In this paper, we propose a hybrid model for the classification of biomedical texts according to their content, using Association Rules and Hidden Markov Model as classifier. In order to demonstrate it, we present a set of experiments performed on OHSUMED biomedical text corpora. Our classifier compared with Naive Bayes and Support Vector Machine models. The evaluation result shows that the proposed classification is complete and accurate when compared with Naive Bayes and Support Vector Machine models.
Kut University College Journal for Humanitarian Science, 2021
The e-learning has become an important part of higher education in light of the crises facing hum... more The e-learning has become an important part of higher education in light of the crises facing humanity, including wars, displacement, and the epidemic. On the other hand, information, and communication technology increases the use of digital devices for many purposes in the world, especially education, through which learning can be achieved, such as higher satisfaction, motivation, and increased student participation. This paper provides a background for e-learning in higher education institutions and reviews the concept of e-learning, its requirements, and the various strategies of e-learning, in higher education institutions.