Koleksi Perpustakaan
Applications of Computational Intelligence
Computational Intelligence (CI) is the theory, design, application, and development of biologically and linguistically motivated computational paradigms. Traditionally, the three main pillars of CI have been neural networks, fuzzy systems, and evolutionary computation. However, in time, many nature-inspired computing paradigms have evolved. Thus, CI is an evolving field, and, at present, in add…
Koleksi Perpustakaan
Deeper Learning, Dialogic Learning, and Critical Thinking
Deeper learning, dialogic learning, and critical thinking are essential capabilities in the 21st-century environments we now operate. Apart from being important in themselves, they are also crucial in enabling the acquisition of many other 21st-century skills/capabilities such as problem solving, collaborative learning, innovation, information and media literacy, and so on. However, the majorit…
Koleksi Perpustakaan
Emotion Intelligence Based on Smart Sensing
This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtu…
Koleksi Perpustakaan
High Accuracy Detection of Mobile Malware Using Machine Learning
As increasingly sophisticated and evasive malware attacks continue to emerge, more effective detection solutions to tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of generating adversarial samples through byte sequence feature extraction using deep learning; a state-…
Koleksi Perpustakaan
Sustainable E-learning and Education with Intelligence
In this era of rapid technological evolution, the landscape of education continually transforms. This compilation is a timely endeavor, capturing the intersection of technology and learning, a synergy pivotal for the future. This anthology, a mosaic of innovation and insight, beckons readers to witness the dawn of a transformative epoch in education.
Koleksi Perpustakaan
AI in Learning: Designing the Future
AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learn…
Koleksi Perpustakaan
Representation Learning for Natural Language Processing
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for th…
Koleksi Perpustakaan
Various Deep Learning Algorithms in Computational Intelligence
This reprint highlights the importance of Deep Learning (DL), which has garnered significant attention in science, industry, and academia. It draws inspiration from the functioning of the human brain and the concept of learning. Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analy…
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