Tiếng Việt
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Kỷ yếu hội thảo khoa học An ninh phi truyền thống, cơ hội và thách thức đối với nhiệm vụ giáo dục quốc phòng và an ninh
Tạp chí Khoa học & Công nghệ Đại học Thái Nguyên (Số 228.16)
Trước diễn biến phức tạp của dịch bệnh COVID-19, việc trang bị những kiến thức cơ bản để các cơ quan, doanh nghiệp, người lao động đảm bảo sức khỏe phòng tránh bị lây nhiễm là điều hết sức cần thiết. Thực hiện chỉ đạo của Lãnh đạo Bộ Thông tin và Truyền thông; nhằm đẩy mạnh tuyên truyền về phòng, chống dịch COVID-19 đến từng người lao động, đóng góp thiết thực và công cuộc phòng, chống dịch bệnh của cả nước; Nhà xuất bản Thông tin và Truyền thông đã phối hợp với các chuyên gia đầu ngành trong công tác phòng, chống dịch COVID-19 biên soạn, xuất bản cuốn sách "Cẩm nang phòng, chống COVID-19 trong đảm bảo an toàn, vệ sinh lao động" (Sách in và Sách điện tử)
Tạp chí Khoa học & Công nghệ Đại học Thái Nguyên (Số 229.11-Q1)
In an era where technology and artificial intelligence (AI) are rapidly reshaping scientific disciplines, the fields of the Earth and environmental sciences, and geotechnical engineering are experiencing unprecedented advancements. This book, Advanced Technologies and Artificial Intelligence in the Earth and Environmental Sciences, marks the inaugural volume in the series Advances in the Earth, Mining and Environmental Sciences for Safe and Sustainable Development. It features a selection of high-quality research papers presented at the GeoAI2024 International Conference.
This publication represents the collaborative efforts of VNU University of Science, Vietnam National University, Hanoi, the Interdisciplinary Professor Council of the Earth and Mining Sciences, and a broad network of esteemed institutions and organizations, including the Vietnam Union of Geological Sciences, Vietnam Association of Engineering Geology and Environment, Institute of Geological Sciences - Vietnam Academy of Science and Technology, Norwegian Geotechnical Institute, Vietnam Atomic Energy Institute, Hanoi University of Mining and Geology, and Dong Nai Technology University.
The support and cooperation of these institutions have been instrumental in bringing this volume to fruition.
This book represents a focused exploration of the transformative role of technology and AI in addressing critical challenges in sustainability and environmental resilience. The content is organized into three thematic sections: Part 1: Earth Technology and Geotechnical Engineering This section explores innovative methods for addressing geotechnical and geological challenges with a focus on sustainability, resilience, and safety. The studies of this part demonstrate how modern technologies and engineering can advance infrastructural development while minimizing environmental risks.
Part 2: Environment and Recycled Materials This section addresses environmental challenges through creative approaches, including pollution control, resource recovery, and sustainable materials. The research in this part highlights innovative ways to restore and protect the environment, contributing to a more sustainable future.
Part 3: Digital Transformation and GeoAI The final section demonstrates the transformative power of AI, machine learning, and digital technologies in the Earth and environmental sciences. Contributions cover a wide spectrum of applications, including IoT-based environmental monitoring and AI-assisted disaster detection. This section exemplifies the role of GeoAI in reshaping our understanding of natural processes and improving decision-making for sustainable development.
We express our sincere gratitude to the authors, researchers, and practitioners whose works have shaped this volume. Special thanks go to the GeoAI2024 International Conference, which provided a vibrant platform for collaboration, innovation, and knowledge exchange. The collective efforts of contributors and organizers have ensured that this book captures the forefront of technological innovation in the Earth and environmental sciences.
This volume aims to inspire researchers, practitioners, and policymakers, encouraging them to explore and implement advanced technologies and AI in tackling some of the most pressing challenges of our time. As the inaugural volume in the book series, it sets the stage for future explorations into the intersections of the Earth and environmental sciences.
We hope the insights shared in this book will contribute to advancing global efforts toward safe and sustainable development.
Editorial Board
The emergence of artificial intelligence and digital technology has profoundly changed Asian cultural and social values, becoming one of the most concerned topics today in Vietnam as well as in the world. In response to that practical requirement, from November 22 to 24, 2024, the Institute of Cultural Anthropology, Hanoi, in collaboration with Hue College, Malang National University, Indonesia, Hyderabad University, India, and Mahasarakham University, Thailand, organized the 7th International Conference on Asian Culture and Society in the Digital Context (with the general theme of “Language, Society, and Culture in Asian Contexts - LSCAC 2024”).
The College of Hue is honored to host the 7th international conference on Language, Society, and Culture in Asian Contexts in Hue city. The main objective of this conference is to analyze the impact of digital technology in the comprehensive application and development of Asian society and culture. It also identifies the characteristics that constitute the strength of Asian society, such as its multicultural and multilingual social structure, diversity, and resilience of these countries.
Tạp chí Khoa học & Công nghệ Đại học Thái Nguyên (Số 228.01/Q1)
Kỉ yếu Hội thảo khoa học quốc gia Đại học Thái Nguyên gắn với phát triển kinh tế - xã hội vùng trung du và miền núi phía Bắc
TOPICS OF THE WORKSHOP
1. Materials for Electronics and Photonics (code: MEP)
2. Nanostructured Materials and Devices (code: NMD)
3. Materials and Technologies for Green Energy and Decarbonization (code: MED)
4. Materials and Nanotechnologies for Life Sciences (code: MLS)
5. Materials and Ecological Technologies for Environment (code: MEE)
6. Advanced Engineering Materials (code: AEM)
7. Materials Data and Machine Learning (code: MDM)
Tạp chí Khoa học & Công nghệ Đại học Thái Nguyên (Số 229.01/Q1)
Tạp chí Khoa học & Công nghệ Đại học Thái Nguyên (Số 229.09-Q2)
Tạp chí Khoa học & Công nghệ Đại học Thái Nguyên (Số 228.03)
Tạp chí Khoa học & Công nghệ Đại học Thái Nguyên (Số 228/S1)