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The Legion of the Lost
As World War II enters the ‘beginning of the end’, Dr. Palfrey and Z5 are tasked with locating many of the doctors, scientists and other prominent people who have been imprisoned by the Nazis all over Europe. This action packed adventure follows progress as they proceed from the Baltic to the very heart of the enemy’s stronghold: Berlin.
Intellectics and Computational Logic
`Intellectics' seeks to understand the functions, structure and operation of the human intellect and to test artificial systems to see the extent to which they can substitute or complement such functions. The word itself was introduced in the early 1980s by Wolfgang Bibel to describe the united fields of artificial intelligence and cognitive science. The book collects papers by distinguished researchers, colleagues and former students of Bibel's, all of whom have worked together with him, and who present their work to him here to mark his 60th birthday. The papers discuss significant issues in intellectics and computational logic, ranging across automated deduction, logic programming, the logic-based approach to intellectics, cognitive robotics, knowledge representation and reasoning. Each paper contains new, previously unpublished, reviewed results. The collection is a state of the art account of the current capabilities and limitations of a computational-logic-based approach to intellectics. Readership: Researchers who are convinced that the intelligent behaviour of machines should be based on a rigid formal treatment of knowledge representation and reasoning.
Limited Information Shared Control and its Applications to Large Vehicle Manipulators
This work focuses on the Limited Information Shared Control and its controller design using potential games. Through the developed systematic controller design, the experiments demonstrate the effectiveness and superiority of this concept compared to traditional manual and non-cooperative control approaches in the application of large vehicle manipulators.
Advances in Information and Communication Networks
The book, gathering the proceedings of the Future of Information and Communication Conference (FICC) 2018, is a remarkable collection of chapters covering a wide range of topics in areas of information and communication technologies and their applications to the real world. It includes 104 papers and posters by pioneering academic researchers, scientists, industrial engineers, and students from all around the world, which contribute to our understanding of relevant trends of current research on communication, data science, ambient intelligence, networking, computing, security and Internet of Things. This book collects state of the art chapters on all aspects of information science and communication technologies, from classical to intelligent, and covers both theory and applications of the latest technologies and methodologies. Presenting state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research, this book is an interesting and useful resource.
Improving Cementitious Properties of Blended Pozzolan Based Materials for Construction of Low Cost Buildings in Mbeya Region, Tanzania
This study therefore investigated and improved cementitious properties of pozzolan blended with calcium hydroxide, gypsum and cement in order to extend its use from low strength mortars to concrete works which can be used for low to medium rise structural applications. Characterization, strength tests and durability tests were performed on pozzolan mixtures under laboratory conditions and the effects of adding gypsum to pozzolan and calcium hydroxide mixtures on the compressive strength and durability of cured concrete specimens were investigated.
Deep Neural Networks and Data for Automated Driving
This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence. Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and decrease memory usage? For inevitably poor conditions: How do we know that the network is uncertain about its decisions? Can we understand a bit more about what actually happens inside neural networks? This leads to a very practical problem particularly for DNNs employed in automated driving: What ...
German Americana
A comprehensive bibliography of books and scholarship on the United States produced in German-speaking countries from 1956-2005.
