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Smart Education and Sustainable Learning Environments in Smart Cities
As urbanization accelerates and technological advancements continue to reshape our cities, the integration of smart technologies into urban development has become prominent. At the same time, the education sector faces challenges in adapting to the demands of a rapidly changing world. There is a growing need to prepare students for the digital age while fostering environmental consciousness and sustainability. These smart learning environments are designed to be flexible, accessible, and sustainable, aligning with the broader goals of smart cities to optimize resources, reduce environmental impact, and promote social equity. As cities evolve, the creation of sustainable learning environments...
Innovative Systems for Intelligent Health Informatics
This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020. The main theme of the book is “Innovative Systems for Intelligent Health Informatics”. A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.
Dasar-dasar Pembelajaran Mesin
Istilah Machine Learning mengacu pada deteksi otomatis pola yang bermakna dalam data. Beberapa dekade terakhir ini telah menjadi suatu hal yang umum di hampir semua lini kehidupan yang membutuhkan ekstraksi informasi dari kumpulan data besar. Machine Learning banyak digunakan dalam aplikasi ilmiah seperti bioinformatika, kedokteran, dan astronomi. Buku Dasar – Dasar Pembelajaran Mesin (Foundations of Machine Learning) ini mencakup perihal terkait pengenalan Machine Learning, Kerangka Pembelajaran PAC (The PAC Learning Framework), Support Vector Machine, Metode Kernel, Pembelajaran Online, Ranking, Regresi, Model Entropi Maksimum Bersyarat, dan Reinforcement Learning. Semoga kehadiran buku ini mampu untuk menambah wawasan dan ilmu pengetahuan terkait Machine Learning serta berkontribusi terhadap ilmu pengetahuan.
Smart Education and Sustainable Learning Environments in Smart Cities
As urbanization accelerates and technological advancements continue to reshape our cities, the integration of smart technologies into urban development has become prominent. At the same time, the education sector faces challenges in adapting to the demands of a rapidly changing world. There is a growing need to prepare students for the digital age while fostering environmental consciousness and sustainability. These smart learning environments are designed to be flexible, accessible, and sustainable, aligning with the broader goals of smart cities to optimize resources, reduce environmental impact, and promote social equity. As cities evolve, the creation of sustainable learning environments...
Syllabus Design
Demonstrates the principles involved in planning and designing an effective syllabus. This book examines important concepts, such as needs analysis, goal-setting, and content specification, and serves as a useful introduction for teachers who want to gain an understanding of syllabus design in order to modify the syllabuses with which they work.
Blended Learning in Practice
A guide to both theory and practice of blended learning offering rigorous research, case studies, and methods for the assessment of educational effectiveness. Blended learning combines traditional in-person learning with technology-enabled education. Its pedagogical aim is to merge the scale, asynchrony, and flexibility of online learning with the benefits of the traditional classroom—content-rich instruction and the development of learning relationships. This book offers a guide to both theory and practice of blended learning, offering rigorous research, case studies, and methods for the assessment of educational effectiveness. The contributors to this volume adopt a range of approaches t...
Index Medicus
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The Routledge Course in Translation Annotation
The Routledge Course in Translation Annotation: Arabic-English-Arabic is a key coursebook for students and practitioners of translation studies. Focusing on one of the most prominent developments in translation studies, annotation for translation purposes, it provides the reader with the theoretical framework for annotating their own, or commenting on others', translations. The book: presents a systematic and thorough explanation of translation strategies, supported throughout by bi-directional examples from and into English features authentic materials taken from a wide range of sources, including literary, journalistic, religious, legal, technical and commercial texts brings the theory and...
