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Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)
This book highlights the recent research on soft computing and pattern recognition and their various practical applications. It presents 62 selected papers from the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) and 35 papers from the 16th International Conference on Information Assurance and Security (IAS 2020), which was held online, from December 15 to 18, 2020. A premier conference in the field of artificial intelligence, SoCPaR-IAS 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Data Intelligence and Cognitive Informatics
The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 16–17, 2021. This book discusses new cognitive informatics tools, algorithms, and methods that mimic the mechanisms of the human brain which leads to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning, and cognitive science to study and develop a deeper understanding of the information processing systems.
Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)
This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing, and their various practical applications. It presents 69 selected papers from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) and 19 papers from the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022), which was held online, from December 14 to 16, 2022. A premier conference in the field of soft computing, artificial intelligence, and machine learning applications, SoCPaR-NaBIC 2022 brought together researchers, engineers, and practitioners whose work involves intelligent systems, network security, and their applications in industry. Including contributions by authors from over 25 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.
Buku Ajar Pengolahan Citra Digital
Pengenalan Citra Digital adalah materi yang membahas tentang gambar yang direpresentasikan dalam format digital, dimana gambar terdiri kumpul piksel dengan nilai numerik yang menunjukkan intensitas dan warna. Pengolahan citra digital telah menjadi salah satu bidang yang penting di era informasi saat ini, dengan aplikasinya yang luas mulai dari medis, pengawasan keamanan, otomotif, hinga forensik. Buku ini dirancang untuk memberikan pemahaman yang komprehensif tentang konsep-konsep dasar, metode-metode dasar dan lanjutan, serta aplikasi praktis pengolahan citra digital.
STATISTIK MENGGUNAKAN R
Buku ini membahas tentang statistik dasar dan R yang digunakan sebagai perangkat lunak untuk pengolahan data statistik. Sehingga, buku ini sangat cocok dipergunakan sebagai referensi bagi pemula untuk memahami dasar-dasar statistik dan mengenal R sebagai perangkat lunak untuk menganalisis data statistik.
Pengembangan Media Pembelajaran Bahasa Inggris
Secara umum buku ini bercerita tentang bagaimana mengelola pembelajaran Bahasa Inggris yang baik dengan memanfaatkan media yang tepat. Apalagi perkembangan teknologi saat ini sangat mendukung terhadap berbagai kemudahan dan kelancaran proses pembelajaran Bahasa Inggris yang baik tersebut. Misalnya dengan menggunakan media berbasis ICT sebagaimana yang diulas dalam buku ini.
Machine Learning aplicado al rendimiento académico en educación superior: factores, variables y herramientas
Las herramientas de aprendizaje automático están siendo muy utilizadas por sus buenas aproximaciones al predecir el rendimiento académico de los estudiantes. Se analiza información de la última década con el objetivo de identificar los factores que influyen sobre el rendimiento académico en el nivel superior, a partir de modelos realizados por medio de técnicas de aprendizaje automático. Se plantea una clasificación en factores académicos, sociodemográficos, de aprendizaje en línea, de gestión académica, psicosocial y de entorno académico. También se identifican los algoritmos más usados en su predicción. Adicionalmente, la detección de las variables que más influyen en el fenómeno permitirá implementar algoritmos de Machine Learning pertenecientes a otras ramas de este campo. Así pues, al ahondar un poco más sobre la aplicación de herramientas de Machine Learning en educación superior, este trabajo servirá a docentes e investigadores que deseen investigar estos temas.
2018 International Conference on Intelligent Autonomous Systems (ICoIAS)
The main goal of ICIAS 2018 is to address latest original results in advanced intelligent control of autonomous systems, including both theoretical advances and practical implementations, which are becoming more and more popular in industry and in our daily lives Invited sessions focusing on Autonomous Systems including, but are not limited to Artificial Intelligence, Machine Learning, Intelligent Robotics, Cognitive Computing, Smart Manufacturing, Advanced Signal Processing and Communications, Bio signal Processing and Control, etc are welcome
Automatic Cyberbullying Detection: Emerging Research and Opportunities
Due to the prevalence of social network service and social media, the problem of cyberbullying has risen to the forefront as a major social issue over the last decade. Internet hate, harassment, cyberstalking, cyberbullying—these terms, which were almost unknown 10 years ago—are in the everyday lexicon of all internet users. Unfortunately, it is becoming increasingly difficult to undertake continuous surveillance of websites as new ones are appearing daily. Methods for automatic detection and mitigation for online bullying have become necessary in order to protect the online user experience. Automatic Cyberbullying Detection: Emerging Research and Opportunities provides innovative insigh...
