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102. Introduction

Author

Azad, Mohammad, Chikalov, Igor, Hussain, Shahid, Moshkov, Mikhail, Zielosko, Beata, Kacprzyk, Janusz, Series Editor, Azad, Mohammad, Chikalov, Igor, Hussain, Shahid, Moshkov, Mikhail, and Zielosko, Beata

Published
2022
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103. Main Notions

Author

Azad, Mohammad, Chikalov, Igor, Hussain, Shahid, Moshkov, Mikhail, Zielosko, Beata, Kacprzyk, Janusz, Series Editor, Azad, Mohammad, Chikalov, Igor, Hussain, Shahid, Moshkov, Mikhail, and Zielosko, Beata

Published
2022
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105. A COMPARATIVE STUDY ON PERFORMANCE OF BASIC AND ENSEMBLE CLASSIFIERS WITH VARIOUS DATASETS

Author

Archana GUNAKALA and Afzal Hussain SHAHID

Subjects
classification, naïve bayes, neural network, support vector machine, decision tree, ensemble learning, random forest, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95
Abstract

Classification plays a critical role in machine learning (ML) systems for processing images, text and high -dimensional data. Predicting class labels from training data is the primary goal of classification. An optimal model for a particular classification problem is chosen based on the model's performance and execution time. This paper compares and analyzes the performance of basic as well as ensemble classifiers utilizing 10-fold cross validation and also discusses their essential concepts, advantages, and disadvantages. In this study five basic classifiers namely Naïve Bayes (NB), Multi-layer Perceptron (MLP), Support Vector Machine (SVM), Decision Tree (DT), and Random Forest (RF) and the ensemble of all the five classifiers along with few more combinations are compared with five University of California Irvine (UCI) ML Repository datasets and a Diabetes Health Indicators dataset from Kaggle repository. To analyze and compare the performance of classifiers, evaluation metrics like Accuracy, Recall, Precision, Area Under Curve (AUC) and F-Score are used. Experimental results showed that SVM performs best on two out of the six datasets (Diabetes Health Indicators and waveform), RF performs best for Arrhythmia, Sonar, Tic-tac-toe datasets, and the best ensemble combination is found to be DT+SVM+RF on Ionosphere dataset having respective accuracies 72.58%, 90.38%, 81.63%, 73.59%, 94.78% and 94.01%. The proposed ensemble combinations outperformed the conven¬tional models for few datasets.

Published
2023
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121. An Analysis of Government Primary Schools' Characteristics Influencing Student Achievement in Northern Sindh

Author

Hussain, Shahid

Abstract

The study aimed to measure the characteristics of government primary schools and to evaluate class IV students' performance in mathematics and science standardized achievement tests. Three instruments were used to collect data from fifty- five government primary schools of district Sukkur. Data were analyzed for frequencies, percentages, mean and standard deviation. Tests were administered to 1073 students. The overall students mean score was found 31.68 and standard deviation 10.32. The mean score in science was 32.55% and in mathematics 31.46%. Based on the percentage mean score of Science and Mathematics, schools were categorized accordingly. Schools where students' performance was satisfactory in tests were found to have more capacity in terms of availability of physical facilities, teaching resources, level of professional support, teachers' and head teachers' own professional commitment. Schools, where students' performance was unsatisfactory, a few of the inhibiting factors were evidenced. In the light of the findings, the study has made several recommendations for the improvement of the quality of education in primary schools.

Published
2018

122. Factors Influencing the Adoption of e-Learning in an Open and Distance Learning Institution of Pakistan

Author

Ahmed, Moiz Uddin, Hussain, Shahid, and Farid, Shahid

Abstract

The revolution in technology has led to new approaches toward open and distance learning, particularly in the form of e-learning. E-learning governs the system of modern education by using Information and Communication Technology (ICT). There are different design approaches and interpretations of e-learning, primarily involving variations in instructional strategies and pedagogical models employed with the technology. These innovations offer compelling opportunities to educational institutions, students and faculty alike, yet they have also posed formidable challenges for e-learning. This is especially the case in the developing countries. This paper engages the concept and aims of e-learning with regard to the issues in the developing countries. The next part of the paper presents the need of e-learning in Pakistan and describes the major institutes offering e-learning and distance education as an alternate mode of education. The paper also elaborates major challenges of e-learning and explores the influencing factors for the adoption of e-learning in Pakistan. The important factors are investigated in terms of available ICT infrastructure and other country specific parameters. The paper also presents results of a survey that was conducted to evaluate students' preferences regarding e-learning. The survey result demonstrates a strong preference for e-learning by the students. The paper concludes by presenting a generalized model of e-learning that can fulfill the needs of learners under available technology infrastructure.

Published
2018

139. Hope, Love, and Curriculum

Author

Kohli, Wendy, primary, McKnight, Douglas, additional, Trueit, Donna, additional, DeMoor, Emily, additional, Beal, Heather K. Olson, additional, Melancon, Kristi, additional, Petitfils, Brad, additional, Comeaux, Valerie Meiners, additional, Hart, Dana, additional, Fasching-Varner, Kenneth J., additional, Le, Chau, additional, and Hussain, Shahid, additional

Published
2023
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140. List of contributors

Author

Aamir, Muhammad, primary, Adeel, Muhammad, additional, Ahmed, Shuja, additional, Ahmmed, Raju, additional, Ajjarapu, Srinivas, additional, Akhtar, Javeed, additional, Akhter, Mohammed Salim, additional, Akram, Bilal, additional, Ali, Farman, additional, Ali, Nisar, additional, Asare, Magdalene A., additional, Ashraf, Muhammad, additional, Ayaz, Muhammad, additional, Bakhtiar, Manahil, additional, Basim, Pratap, additional, Bhaliya, Jaydip, additional, Bhargava, Ram Naresh, additional, Biasotto, Glenda, additional, Bilal, Muhammad, additional, Bin Emran, Talha, additional, Camargo, Emerson Rodrigues, additional, Choi, Jonghyun, additional, Cruz, Sandra Andrea, additional, da Rosa, Cezar Augusto, additional, da Silva, Caio Marcio Paranhos, additional, de Souza, Felipe M., additional, de Souza Neto, Francisco Nunes, additional, Faniband, Basheerabegum, additional, Farhat, Rana, additional, Ferreira, Gabriella Ribeiro, additional, Ferreira, Luiz Fernando Romanholo, additional, Gimenez, Jessica Caroline Ferreira, additional, Gonçalves, Roger, additional, Gorup, Luiz Fernando, additional, Gouthami, Kuruvalli, additional, Gupta, Ram K., additional, Hussain, Nazim, additional, Hussain, Shahid, additional, Imran, Muhammad, additional, Iqbal, Hafiz M.N., additional, Izhar, Fatima, additional, Jabeen, Uzma, additional, Jacinto-Hernández, C., additional, Jara-Cornejo, Eduardo EJ, additional, Kakkameli, Siddappa, additional, Khan, Abdullah, additional, Khan, Adnan, additional, Khan, Ezzat, additional, Khan, Ibrahim, additional, Khan, Idrees, additional, Khan, Mohammad Mansoob, additional, Khan, Sabir, additional, Khan, Shahab, additional, Kurakula, Mallesh, additional, Lakshminarayana, Lavanya, additional, Latif, Shoomaila, additional, Liu, Junqiu, additional, López, Rosario, additional, Mahmood, Tehreem, additional, Malik, Sumeet, additional, Mohamed, Ahmed A., additional, Mondal, Shakti Chandra, additional, Mortari, Bianca, additional, Mulla, Sikandar I., additional, Munawar, Junaid, additional, Naseer, Sania, additional, Nawaz, Shahid, additional, Nguyen, Tuan Anh, additional, Nikita, K.M., additional, Panicker, Seema, additional, Patel, Gautam M., additional, Pathan, Pinaz, additional, Picasso, Gino, additional, Pizan-Aquino, Charles, additional, Rahdar, Abbas, additional, Rana, Juwel, additional, Rasheed, Tahir, additional, Rashid, Ehsan Ullah, additional, Rasool, Atta, additional, Raza, Mohsin, additional, Rizwan, Muhammad, additional, Rodrigues, Gustavo Villela, additional, Rtimi, Sami, additional, Ruiz-Córdova, Gerson A., additional, Saeed, Khalid, additional, Saeed, Shaukat, additional, Sarfraz, Nafeesa, additional, Sarker, Aniruddha, additional, Scuracchio, Carlos Henrique, additional, Sequinel, Thiago, additional, Shah, Vraj, additional, Shahbaz, Areej, additional, Shjua, Ahmed, additional, Show, Pau Loke, additional, Sotomayor, Maria D.P.T., additional, Suthar, Vishwa D., additional, Thang, Tran Hong, additional, Torres, Sergio Espinoza, additional, ur Rehman Qureshi, Anees, additional, Veeraraghavan, V., additional, Vega-Chacón, Jaime, additional, Villa, Javier E.L., additional, Waheda Rahman Ansary, Most., additional, Wong, Ademar, additional, Yasin, Ghulam, additional, Zada, Noor, additional, Zeb, Shakeel, additional, and Zhao, Linlu, additional

Published
2023
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142. List of contributors

Author

Ahmad, Awais, primary, Ahmad, Ikram, additional, Ahmed, Muhammad Ashfaq, additional, Arsh E., Noor, additional, Asiri, Abdullah M., additional, Bibi, Faiza, additional, Gilani, Mazhar Amjad, additional, Hamza, Muhammad, additional, Hussain, Shahid, additional, Kamal, Tahseen, additional, Khalid, Muhammad, additional, Khan, Mariam, additional, Khan, Muhammad Inam, additional, Khan, Safia, additional, Khan, Zaib Ullah, additional, Luque, Rafael, additional, Muhammad, Nawshad, additional, Rahim, Abdul, additional, Rahim, Abdur, additional, Riaz, Sara, additional, Sabahat, Sana, additional, Tariq, Ayesha, additional, Tariq, Muhammad, additional, Tariq, Sadaf, additional, and Tayyab, Muhammad, additional

Published
2023
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146. Organic and inorganic nanoparticles

Author

Rashid, Ehsan Ullah, primary, Nawaz, Shahid, additional, Munawar, Junaid, additional, Sarker, Aniruddha, additional, Hussain, Shahid, additional, Iqbal, Hafiz M.N., additional, and Bilal, Muhammad, additional

Published
2023
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147. A Blockchain-Enabled Fog Computing Model for Peer-To-Peer Energy Trading in Smart Grid

Author

Shukla, Saurabh, Thakur, Subhasis, Hussain, Shahid, Breslin, John G., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Prieto, Javier, editor, Partida, Alberto, editor, Leitão, Paulo, editor, and Pinto, António, editor

Published
2022
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