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Electrochemical Strategies in Detection Science
Electrochemical methods of chemical analysis have been widely used for many years, the purpose of this volume is to address research and development advances based on new and re-vitalised methods, new materials with enhanced properties and new devices that achieve better electroanalytical signal generation.
Euro-Par'96 - Parallel Processing
Content Description #Includes bibliographical references and index.
Artificial Intelligence Research and Development
Artificial Intelligence (AI) has started the evolution in computer science. It is in good health, as many companies qualify their novelties as ‘smart’ or ‘intelligent’. The term ‘society of knowledge’ draws society nearer to the future and is a symbol of breakthrough. From this perspective, AI has reached maturity and has exploded into an endless set of sub-areas, getting in touch with all other disciplines, such as situation assessment, analysis and interpretation of music, management of environmental and biological systems, planning trains, routing of communication networks, assisting medical diagnosis or powering auctions. The wide variety of Artificial Intelligence applicatio...
Electrochemistry
This volume is a key reference in the field of electrochemistry, allowing the reader to easily become acquainted with the latest research and opinion.
Electrochemistry
Approaching the literature in a subject such as electrochemistry can be daunting. Specialist Periodical Reports present comprehensive and critical reviews of the current literature, with contributions from across the globe, providing the reader with an informed digest of the most important research currently carried out in the field. Re-launched in 2012 with a new editorial team (Compton and Wadhawan), this latest volume covers a broad range of topics, all with an emphasis on the nano aspects of electrochemistry. Aside from the applied chapters, contributions have also been submitted which examine eletrochemistry in specific regions; China and India are covered in this volume.
Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems
Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems will cover the up-to-date biosensor technologies used for the detection of bacteria. Written by the world's most renowned and learned scientists each in their own area of expertise, Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems is the first title to cover this expanding research field.
Biodiversity of the Gulf of Guinea Oceanic Islands
This open access book presents a comprehensive synthesis of the biodiversity of the oceanic islands of the Gulf of Guinea, a biodiversity hotspot off the west coast of Central Africa. Written by experts, the book compiles data from a plethora of sources – archives, museums, bibliography, official reports and previously unpublished data – to provide readers with the most updated information about the biological richness of these islands and the conservation issues they face. The Gulf of Guinea Oceanic Islands (Príncipe, São Tomé and Annobón and surrounding islets) present extraordinary levels of endemism across different animal, fungi and plant groups. This very high endemism likely r...
Journal of the Executive Proceedings of the Senate of the United States
description not available right now.
God in the Rainforest
In January of 1956, five young evangelical missionaries were speared to death by a band of the Waorani people in the Ecuadorian Amazon. Two years later, two missionary women--the widow of one of the slain men and the sister of another--with the help of a Wao woman were able to establish peaceful relations with the same people who had killed their loved ones. The highly publicized deaths of the five men and the subsequent efforts to Christianize the Waorani quickly became the defining missionary narrative for American evangelicals during the second half of the twentieth century. God in the Rainforest traces the formation of this story and shows how Protestant missionary work among the Waorani...
Prediction and Analysis for Knowledge Representation and Machine Learning
A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the system’s perceived data, assisting scientists in the generation or refinement of current models. Machine learning is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to machine learning algorithms. It h...
