الصفحة 1
الصفحة 1
Neural Network Driven Artificial Intelligence : Decision Making Based On Fuzzy Logic
Artificial Intelligence, Computer Science and Internet, Computer Science, Technology and Applications, Mathematics Research Developments
Internet of Things and Machine Learning in Agriculture
Machine Learning (ML) and the Internet of Things (IoT) can play a very promising role in the agricultural industry. Some examples include: an AI-powered drone to monitor the field, an IoT-designed automated crop watering system, sensors embedded in the field to monitor temperature and humidity, etc. The agriculture industry is the largest in the world, but when it comes to innovation there is a lot more to explore. IoT devices can be used to analyze the status of crops. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield. In this book, we will point out the challenges facing the agro-industry that can be addressed by ML and IoT and explore the impacts of these technologies in the agriculture sector.
Image recognition : progress, trends and challenges
Focuses on research trends in image processing and recognition and corresponding developments. Among them, the book focuses on recent research, especially in the field of advanced human-computer interaction and intelligent computing. Given the existing interaction and recognition of the station, some novel topics are proposed, including how to establish a cognitive model in human-computer interaction and how to express and transfer human knowledge into human-machine image recognition. In an interactive implementation, how to implement user experience through image recognition during machine interaction
Deep Learning and its Applications
Presents an introduction to deep learning and various applications of deep learning such as recommendation systems, text recognition, diabetic retinopathy prediction of breast cancer, prediction of epilepsy, sentiment, fake news detection, software defect prediction and protein function prediction.
Curcumin : clinical uses, health effects and potential complications
Curcumin is a natural product with polyphenolic structure. It is used in therapeutic remedies alone or in combination with other natural substances. Many researchers are investigating it because of its biological activities such as: anti-inflammatory, anti-cancer, anti-protozoal, anti-viral, anti-bacterial and has been found to be effective for treatment of Alzheimer, depression, headaches, fibromyalgia, leprosy, fever, menstrual problems, water retention, worms and kidney problems etc. It is an active ingredient in dietary spice, turmeric. It has reactive functional groups: a diketone moiety and two phenolic groups. Despite its unique biological activities, it suffers from some shortcomings which include: gastrointestinal problems, poor bioavailability due to its poor absorption, short half-life, poor solubility in aqueous solutions, rapid systemic elimination and antithrombotic activity which can interfere with blood clotting. The first chapter of this book reviews the different delivery systems used for incorporation of curcumin and its derivatives, release kinetics and up to date in vivo results. Chapter two discusses curcumin nano and microencapsulation and its implications on clinical uses.
Conservative Treatment of Pulp Tissue : Indications, Materials and Techniques
Addresses the physiology and pathology of pulp tissue in order to communicate the importance, indications, and techniques of conservative treatments to be performed, especially in young patients, as well as the most suitable biomaterials
Computer Aided Bridge Engineering : Detail Design of Pre-Stressed Concrete I-Girder / Box-Girder Bridges
Real project design calculations for a deck-girder superstructure are presented along with the design of an abutment and pier with pile foundation as the bridge substructure. The book is proposed to be read in association with processing the design work by using the computer software ASTRA Pro as referred to in the book. The book describes two essential facets of the work, which are 'Analysis of the Grillage Model of the Deck-Girder Superstructure' and the subsequent 'Design of Deck Slab and PSC I-Girder'. The software provides three facets of the work: first is the 'Analysis of the Grillage Model of the Deck-Girder Superstructure', second is the 'Design of Deck Slab and PSC I-Girder, Abutment, Piers along with Pile Foundation', and the third is a 'Set of Sample Editable CAD Drawings for the work'. The drawings may be modified as per the design work and be submitted as required for the construction. The drawings contain information on dimensions, structural detailing, bar-bending schedules, pre-stressing details and construction guides.
Combating Antibiotic Resistance : Report to the President and National Strategy
Antibiotics, in particular, have saved millions of lives. This book discusses combating antibiotic resistance and provides reports to the presidents and national strategies.
Cloud Computing Infrastructure for Enabling Future Technology Advancement
Presents the most up-to-date information about cloud computing technologies and applications. This book provides a detailed introduction of the research fields, recent work, and open research questions in the emerging field of cloud computing. Also, the present book will look for potential research areas and technologies that will make it easier to build a global market for cloud computing services that support scientific, industrial, business, and consumer applications. The benefits associated with cloud computing are enormous, and for rapid development, there is a massive requirement of research and development in this field.
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.
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.
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.
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.
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.
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.
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.
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.
