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Zusammenfassung: This is an open access book. ICAMSAC 2023 Theme: Application of Mathematics and Computing in Multidisciplinary Research With Scope Application of Mathematics and Computing in Multidisciplinary Research The Subject Scope of The Conference Mathematical modeling, optimization, numerical analysis, differential equations, mathematical physics, and mathematical biology. probability theory, statistical modeling, experimental design, data visualization, multivariate analysis, machine learning, and applications of statistics in various domains such as finance, healthcare, social sciences, and engineering, cloud computing, programming languages, algorithms, artificial intelligence, data mining, high-performance computing, scientific computing, numerical simulations, and computational modeling. ICAMSAC 2023 aims to bring together leading academic scientists, researchers, andresearch scholars to exchance and share their experiences and research results on all aspects of Mathematics, Statistics, and Computing. It also provides a platform researchers, practitioners, and educators to present and discuss recent innovations, current issues, trends, and challenges faced
As in many other oil and gas dependent countries, Brunei Darussalam—a country with a small population but the second highest income per capita in Southeast Asia—has been diversifying its economy in three sectors: from oil and gas to other sectors of export/economic growth; from the dominance of public sector employment to a more balanced public and private sectors employment; and from heavy dependence on foreign labours to development of local talents. This book examines the current socio-economic development in the journey toward a diversified social economy, as targeted in Brunei Vision 2035. By examining the unique context of Brunei, this book fills in the gap on studies focusing on s...
We are delighted to introduce the proceedings of the first edition of Joint Workshop KO2PI and International Conference on Advance & Scientific Innovation 2018 (ICASI 2018). This conference has brought researchers, developers and practitioners around the world who are leveraging and developing scientific technology. The theme of ICASI 2018 was “Empowering Digital Society through Integration of Multidisciplinarity aspect”. The technical program of Joint Workshop KO2PI and ICASI 2018 consisted of 22 full papers, including 4 invited papers in oral presentation sessions at the main conference tracks. The conference tracks were: Track 1 – Computer Security; Track 2 – Big Data and Data Mining; Track 3 – Information Technology and Forecasting; and Track 4 – Social Media Analysis. We strongly believe that Joint Workshop and ICASI 2018 conference provides a good forum for all researcher, developers and practitioners to discuss all science and technology aspects that are relevant to Digital Society. We also expect that the future KO2PI Workshop and ICASI conference will be as successful and stimulating, as indicated by the contributions presented in this volume.
The great potential of remote sensing technologies for operational use in sustainable forest management is addressed in this book, which is the reprint of papers published in the Remote Sensing Special Issue “Operationalization of Remote Sensing Solutions for Sustainable Forest Management”. The studies come from three continents and cover multiple remote sensing systems (including terrestrial mobile laser scanning, unmanned aerial vehicles, airborne laser scanning, and satellite data acquisition) and a diversity of data processing algorithms, with a focus on machine learning approaches. The focus of the studies ranges from identification and characterization of individual trees to deriving national- or even continental-level forest attributes and maps. There are studies carefully describing exercises on the case study level, and there are also studies introducing new methodologies for transdisciplinary remote sensing applications. Even though most of the authors look forward to continuing their research, nearly all studies introduced are ready for operational use or have already been implemented in practical forestry.
The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.
Buku ini berisi contoh kasus dan penyelesaian menggunakan metode partial least squares structural equation modeling (PLS-SEM) dengan software WarpPLS. Beberapa contoh kasus diadopsi dari artikel jurnal nasional dan internasional. Di samping itu, beberapa contoh kasus dilengkapi penjelasan video Youtube. Data untuk setiap contoh kasus dapat didownload secara online. Buku ini juga membahas beberapa kesalahan yang sering terjadi saat pengolahan data menggunakan WarpPLS.
Buku ini berisi contoh kasus dan penyelesaian menggunakan metode partial least squares structural equation modeling (PLS-SEM) dengan software smartPLS. Beberapa contoh kasus diadopsi dari artikel jurnal nasional dan internasional. Di samping itu, beberapa contoh kasus dilengkapi penjelasan video Youtube. Data untuk setiap contoh kasus dapat didownload secara online. Buku ini juga membahas beberapa kesalahan yang sering terjadi saat pengolahan data menggunakan smartPLS.
Buku ini berisi berbagai contoh praktek untuk melakukan visualisasi data menggunakan software statistik STATCAL, seperti membuat grafik batang, garis, lingkaran, titik, scatterplot, korelasi dan time series. Software STATCAL dapat didownload gratis di https://statcal.com/.
Buku ini berisi berbagai contoh kode program R untuk melakukan visualisasi data, seperti grafik batang, grafik garis, grafik lingkaran, grafik boxplot, grafik time series, grafik scatter plot, grafik korelasi. Di samping itu, diberikan beberapa contoh praktek dalam memanipulasi data menggunakan berbagai fungsi R. Pekerjaan R dilakukan di R Notebook pada RStudio. Kode program R pada buku ini dapat diakses secara gratis di dalam isi buku ini.