You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
None
With the world facing increasingly serious global climate change and resource scarcity issues, ecology and the environment have received much attention in recent years. As a major factor in human activity, design plays an important part in protecting the environment, as does the role of digital technology in finding solutions to the pressing problems faced in this regard. This book presents the proceedings of ISWED2023, the International Symposium on World Ecological Design, held on 17 December 2023 in Guangzhou, China. Sponsored by the World Eco-Design Conference (a UN Consultative NGO), the conference provides a platform for professionals and researchers from industry and academia to prese...
The lymphatic system plays a key role in fighting out the bacteria infested in the human body. More importantly, it aids in the fight against disease. Inside the lymphatic system, lymph vessels widen to produce lymph nodes. These lymph nodes usually appear under the arm or neck of those who are sick or infected. If cells continue to swell or multiply, they can often be considered as cancerous. Lymphoma is the actual type of cancerous cell that spreads throughout the lymphatic system. One main group of cells that spread within lymphatic system is Hodgkin's Disease, which is recognised by its growth of Reed-Sternberg cells. This book presents cutting edge research from around the world.
This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.
In the era of technology and big data, advanced and innovative research methods and conducting effective research to solve emerging problems in tourism and hospitality is critical, making Advanced Research Methods in Hospitality and Tourism a necessity for academics and practitioners.