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Mannitol : Chemistry, Uses and Potential Side Effects
Presents topical research in the study of the chemistry, uses and potential side effects of mannitol. Topics discussed include the utilization and production of D-mannitol by bacteria; concentration of mannitol and other soluble carbohydrates in the crustose lichen rhizocarpon geographicum; disease-related changes and mannitols use for clinical disorders; use of mannitol in thermal energy storage applications; and chiral phosphorous ligands derived from D-mannitol.
Artificial intelligence in the financial services industry
Today, the financial services sector is facing a period of rapid disruption and innovation, and artificial intelligence (AI) is at the heart of these changes. Artificial intelligence can be used to gather enormous amounts of data, detect abnormalities, and solve complex problems. Financial institutions are already experimenting extensively with AI strategies to enhance and streamline financial institutions, BSA and AML compliance, CRA requirements, fraud detection, and real estate valuations, all while reducing cost levels. This book looks at how artificial intelligence is affecting the financial services industry.
Machine Learning Algorithms Using Python Programming
Presents the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning.
Anomaly Detection : Techniques and Applications
When information in the data warehouse is processed, it follows a definite pattern. An unexpected deviation in the data pattern from the usual behavior is called an anomaly. The anomaly in the data is also referred to as noise, outlier, spammer, deviations, novelties and exceptions. Identification of the rare items, events, observations, patterns which raise suspension by differing significantly from the majority of data is called anomaly detection. With progress in the technologies and the widespread use of data for the purpose for business the increase in the spams faced by the individuals and the companies are increasing day by day. This noisy data has boomed as a major problem in various areas such as Internet of Things, web service, Machine Learning, Artificial Intelligence, Deep learning, Image Processing, Cloud Computing, Audio processing, Video Processing, VoIP, Data Science, Wireless Sensor etc. Identifying the anomaly data and filtering them before processing is a major challenge for the data analyst. This anomaly is unavoidable in all areas of research. This book covers the techniques and algorithms for detecting the deviated data.
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms : A Practical Approach Using Python
Describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalise these strategies.
Lecture Notes on General Medicine for Dental Practice : A System based Approach with Dental Management Considerations
Offers a system based approach covering a broad range of topics in general medicine for dental practice. The book includes chapters on history taking and patient interview, general physical examination, system specific examination, common health related complaints, systemic infections, and diseases of the gastrointestinal, cardiovascular, respiratory, neurological, immunological, renal, endocrinal, dermatological and musculoskeletal systems. Nutritional disorders, psychiatric disorders, the female patient with menstrual, menopause and pregnancy related disorders, dental management of patients taking medications for systemic conditions and medical emergencies in dental practice have also been discussed in some detail.
Bioactive Materials in Dentistry : Remineralization and Biomineralization
Addresses the use of different bioactive materials in dentistry, considering the performance of these biomaterials in the hard tissues of the tooth, and the response of the dental pulp, as well as the influence of the composition of these materials and of the individual’s systemic alterations in bioactivity and in antimicrobial activity. The several in vivo and in vitro tests to evaluate the bioactivity of a biomaterial will also be addressed.
A compendium of principles and practice of laser biophotonics in oral medicine
The application of photonics technologies and principles to medicine and life sciences is known as biophotonics. Laser is one of the most important inventions of the twentieth century in biophotonic technology. This book a concise but comprehensive body of information, written in a simple tone, attempting to cruise the readers' vision through every perspective, to seek objective information on all aspects of the instrument and its uses, fostering a preliminary step towards efficient laser diagnosis and therapy.
Advances in sustainable materials and technology
Discusses numerous relevant areas and innovative technologies, such as key construction materials and production, materials with lower energy impact, production processes encouraging less use of ever-depleting natural raw materials, minimization of the generation of greenhouse gases, development of new, environmentally friendly materials and agents, characterization of the properties of construction materials, and methodologies applied in the building of structures.
