Anupam Kumar – författare

This book aims to be a complete guide to diagnose, manage, and treat rare lung diseases encountered by practicing pulmonologists and trainees. It extensively covers the "more common" of the rare lung diseases, categorizing them based on developmental lung anomalies in adults, airway disorders, diffuse parenchymal lung diseases, neoplasms, rare vascular disorders, and other miscellaneous conditions. This comprehensive review facilitates the study and understanding of this complex and diverse set of disorders, focusing on differential diagnosis, evidence-based discussions of management algorithms, and thoughtful analysis of treatment options.Key Features* Reviews multiple rare lung diseases, including ones acquired congenitally to be expressed in old age* Enriched with case studies and illustrations to guide respiratory physicians and trainees to devise an effective treatment plan*Focuses on concerned investigations, with a section on the role of new procedures in management

This book aims to be a complete guide to diagnose, manage, and treat rare lung diseases encountered by practicing pulmonologists and trainees. It extensively covers the "more common" of the rare lung diseases, categorizing them based on developmental lung anomalies in adults, airway disorders, diffuse parenchymal lung diseases, neoplasms, rare vascular disorders, and other miscellaneous conditions. This comprehensive review facilitates the study and understanding of this complex and diverse set of disorders, focusing on differential diagnosis, evidence-based discussions of management algorithms, and thoughtful analysis of treatment options.Key Features* Reviews multiple rare lung diseases, including ones acquired congenitally to be expressed in old age* Enriched with case studies and illustrations to guide respiratory physicians and trainees to devise an effective treatment plan*Focuses on concerned investigations, with a section on the role of new procedures in management

Advances in Materials and Pavement Performance Prediction contains the papers presented at the International Conference on Advances in Materials and Pavement Performance Prediction (AM3P, Doha, Qatar, 16- 18 April 2018). There has been an increasing emphasis internationally in the design and construction of sustainable pavement systems. Advances in Materials and Pavement Prediction reflects this development highlighting various approaches to predict pavement performance. The contributions discuss links and interactions between material characterization methods, empirical predictions, mechanistic modeling, and statistically-sound calibration and validation methods. There is also emphasis on comparisons between modeling results and observed performance. The topics of the book include (but are not limited to):• Experimental laboratory material characterization• Field measurements and in situ material characterization• Constitutive modeling and simulation• Innovative pavement materials and interface systems• Non-destructive measurement techniques• Surface characterization, tire-surface interaction, pavement noise• Pavement rehabilitation• Case studiesAdvances in Materials and Pavement Performance Prediction will be of interest to academics and engineers involved in pavement engineering.

This book covers the introduction, theory, development and applications of type-2 fuzzy logic systems, which represent the current state-of-the-art in various domains such as control applications, power plants, health care, image processing, mathematical applications etc.

This book covers the introduction, theory, development and applications of type-2 fuzzy logic systems, which represent the current state-of-the-art in various domains such as control applications, power plants, health care, image processing, mathematical applications etc.

This book discusses real applications of soft computing (SC) in power systems. These SC techniques, inspired by the human mind and biological behavior, have proven to be excellent tools to overcome the challenges faced in power systems and related areas. The techniques are robust and provide low-cost solutions while also offering an effective solution for studying and modeling the behavior of renewable energy generation, operation of grid-connected renewable energy systems, and sustainable decision-making among alternatives. The tolerance of SC techniques to imprecision, uncertainty, partial truth, and approximation makes them highly useful alternatives to conventional techniques.The rapid growth in SC techniques plays an important role in powerful representation, modeling paradigms and optimization mechanisms for solving power system issues such as power quality, reactive power control, oscillation and stability problems, renewable energy resource eval-uation, design of energy efficiency systems, economic load dispatch problems or very different energy system applications in smart grids.