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Prosiding Use Cases Artificial Intelligence Indonesia: Embracing Collaboration for Research and Industrial Innovation in Artificial Intelligence
Prosiding Use Cases Artificial Intelligence Indonesia adalah buku yang mengumpulkan hasil-hasil kajian dan liputan 26 use cases inovasi dan 4 inisiatif pemanfaatan kecerdasan artifisial yang kemudian dipetakan menjadi lima klaster bidang kecerdasan artifisial, yakni: riset industri dan hankam, layanan publik dan kesehatan, kota cerdas dan kebencanaan, ketahanan pangan dan maritim, serta klaster inisiatif pemanfaatan kecerdasan artifisial. Materi buku diperoleh dari para kontributor seluruh anggota quadhelix dan para narasumber pegiat kecerdasan artifisial di Indonesia. Buku ini akan membantu masyarakat dalam mendapatkan pengetahuan dan pencerahan tentang seluruh teknologi kecerdasan artifisial yang membantu sektor-sektor terkait dalam hal otomatisasi, alat bantu untuk menganalisis, membuat rekomendasi serta keputusan, memprediksi dan sebagainya.
Strategi dan pemikiran perpustakaan
Biography of Hernandono, Head of National Library of Indonesia.
Panji masyarakat
None
Embedded System Applications
Embedded systems encompass a variety of hardware and software components which perform specific functions in host systems, for example, satellites, washing machines, hand-held telephones and automobiles. Embedded systems have become increasingly digital with a non-digital periphery (analog power) and therefore, both hardware and software codesign are relevant. The vast majority of computers manufactured are used in such systems. They are called `embedded' to distinguish them from standard mainframes, workstations, and PCs. Athough the design of embedded systems has been used in industrial practice for decades, the systematic design of such systems has only recently gained increased attention...
2018 Indonesian Association for Pattern Recognition International Conference (INAPR)
The conference has scope in Computational Intelligence, Artificial Intelligence, Soft Computing with specific in Pattern Recognition, Data Mining, Knowledge Data Discovery, Machine Learning, Deep Learning, Text Mining, Information Retrieval, Natural Language Processing, Gesture recognition, Image recognition, Video recognition, Computer vision, Script recognition, Document recognition, symbol equation sketch and drawing recognition, Handwriting recognition
Checking for Understanding
A teacher presents a lesson, and at the end asks students if they understand the material. The students nod and say they get it. Later, the teacher is dismayed when many of the students fail a test on the material. Why aren’t students getting it? And, just as important, why didn’t the teacher recognize the problem? In Checking for Understanding, Douglas Fisher and Nancy Frey show how to increase students’ understanding with the help of creative formative assessments. When used regularly, formative assessments enable every teacher to determine what students know and what they still need to learn. Fisher and Frey explore a variety of engaging activities that check for and increase unders...
Fish to 2020
The seemingly inexhaustible oceans have proved to be finite after all. Capture of wild fish have leveled off since the mid-1980s, and many stocks of fish are fished so heavily that their future is threatened. And yet the world's appetite for fish has continued to increase, particularly as urban populations and incomes grow in developing countries. Aquaculture--fish farming--has arrived to meet this increased demand. Production of fish from aquaculture has exploded in the past 20 years and continues to expand around the world. But will aquaculture be sufficient to provide affordable fish to the world over the next 20 years? And what environmental and poverty problems will aquaculture face as ...
Mapping Biology Knowledge
Mapping Biology Knowledge addresses two key topics in the context of biology, promoting meaningful learning and knowledge mapping as a strategy for achieving this goal. Meaning-making and meaning-building are examined from multiple perspectives throughout the book. In many biology courses, students become so mired in detail that they fail to grasp the big picture. Various strategies are proposed for helping instructors focus on the big picture, using the `need to know' principle to decide the level of detail students must have in a given situation. The metacognitive tools described here serve as support systems for the mind, creating an arena in which learners can operate on ideas. They include concept maps, cluster maps, webs, semantic networks, and conceptual graphs. These tools, compared and contrasted in this book, are also useful for building and assessing students' content and cognitive skills. The expanding role of computers in mapping biology knowledge is also explored.
Complete Guide for Growing Plants Hydroponically
With the continued implementation of new equipment and new concepts and methods, such as hydroponics and soilless practices, crop growth has improved and become more efficient. Focusing on the basic principles and practical growth requirements, the Complete Guide for Growing Plants Hydroponically offers valuable information for the commercial growe
