The book "A Practitioner's Approach to Geographical Information Systems" is an exhaustive resource that offers a structured and logical learning experience for those seeking to master Geographical Information Systems (GIS). This textbook is designed as a hands-on guide providing step-by-step experiments and exercises that cover the foundational skills required to work with GIS software. The book's content is carefully curated to bridge the gap between theoretical GIS concepts and their real-world applications making it an ideal resource for students practitioners and researchers.

The book "AI and ML in Pharmaceutical Science" provide valuable insights for pharmacy students and healthcare professionals. It introduces key concepts of Artificial Intelligence (AI) and Machine Learning (ML) and demonstrates their applications in pharmaceutical and healthcare sector. This book serves as a comprehensive source of information to understand the advanced transformative technologies and their impact on the pharmaceutical sector. The key features of the book are Foundational Knowledge: To understand the basic principles of AI and ML which are crucial for pharmaceutical research and development. ;Real-World Applications: To explore how AI and ML are being used in drug discovery personalized medicine and clinical trials etc. Future Outlook: To provide the glimpse of future trends and how AI and ML will continue to influence the pharmaceutical sector.This book will help the students and professionals to gain the knowledge of fast-changing field of AI and ML in pharmaceuticals and health care field.

1. Analysis and Survey on Grammar Checking and Correction Approaches for Punjabi and Other Languages
2. Early Heart Disorder Prediction System using Artificial Neural Network and K- Fold Cross Validation Model
3. Offline Mobile Finder Application
4. Cognitive Horses of Deep Learning: Regularization and Optimization Practices
5. Transliteration of Sanskrit Scripts using Natural Language Processing and Meta-Heuristic Algorithms
6. A Data-Driven Research on Optimizing Supply Chain Logistics for Manufacturing Companies: A Predictive Modeling Approach
7. Impact of Meteorological Conditions on Air Quality Prediction using Deep Learning
8. ADA_ViT: Adaptive Drawer Algorithm for Vision Transformers to Detect the Severity of Diabetic Retinopathy
9. A Hybrid Deep Learning Model: Integration of CNN and BiLSTM for Malayalam Question Answering from Facebook bAbl Dataset Task 1
10. Evaluating Trade-offs between Model Precision and Traning Performance with Precision Variation
11. The NLP Quest: Unveiling Hidden Topics in 'Autobiography of a Yogi' using BER Topic
12. Revolutionizing Netflix Recommendations: The Power of Transfer Learning

"Basics of SIMULINK for Engineers" is a comprehensive guide exclusively designed for engineering students from all disciplines. The book is framed in a manner that makes it a perfect gateway for anyone interested in using Simulink. This software offers a Graphical User Interface (GUI) based platform where all functions are presented in the form of blocks. The book covers elementary level aspects such as basic mathematical operations matrices algebraic equations complex numbers interpolation and extrapolation of data. Apart from these higher order aspects like calculus plotting different signals solving differential equations are also given due importance. The book comprises of nine chapters with a detailed introduction to Simulink. All the models' block details are elaborated to a greater extent so that the reader can practice on their own. Worked out examples of simple variety are added to entrust comfort to the reader making him/her competent enough to develop Simulink models for any advanced application-oriented problems from any discipline. By the end of this book engineering students will have a strong understanding of Simulink software on self-study mode and will be equipped to use it for numerous disciplines. With a zeal for mastering Simulink software and in-depth knowledge learned through this book students can develop a comprehensive understanding of Simulink models for any advanced application-oriented problems.

"Computer Aided Drug Development" is an exhaustive resource that provides a comprehensive perspective on the integration of computational technologies with pharmaceutical sciences. The book is divided into five units each exploring a different aspect of computer-aided drug development. The units cover topics such as the role of computers in pharmaceutical research and development computational modeling for drug disposition formulation development biopharmaceutical characterization and the applications of Artificial Intelligence Robotics and Computational Fluid Dynamics in drug development. This book aims to provide readers with a thorough understanding of how computer-aided methods are transforming the drug development process making it an essential resource for students researchers and professionals in the field of pharmaceutical sciences.

Public libraries, by definition, are ‘social institutions’ that provide basic information for the social, economic, educational and cultural development of the citizen and promote lifelong learning of the poor and marginalized public. They also play a vital role in enabling the population to become ‘informed citizens’. Over the years, the public library system in India has deteriorated so much that it has almost become ‘defunct’. Today, only 25% of our population has access to public libraries in the country even after 75 years of Independence. There are many reasons attributed to this sorry state, the foremost being the lack of adequate funds and support from the respective state Governments. There is an urgent need to revive our public library system by adopting different or alternative methods.

Учебное пособие направлено на комплексное развитие основных навыков владения иностранным языком. Пособие содержит упражнения для работы по видам речевой деятельности; состоит из семи тематических разделов, направленных на развитие познавательной активности обучающихся, англо–русского словаря.
Учебное пособие предназначено для студентов, обучающихся по специальностям 31.05.01 Лечебное дело, 31.05.02 Педиатрия, 32.05.01 Медико-профилактическое дело, 33.05.01 Фармация, 30.05.01 Медицинская биохимия, а также для тех, кто овладевает профессиональным английским языком в области цифровой медицины.

"Finite Element Analysis of Structures using MATLAB" is an essential guide for students delving into the world of finite element analysis. This comprehensive resource offers clear explanations relevant examples and practical MATLAB code to enhance understanding and application. From the historical foundation of Finite Element Analysis to the exploration of thin and thick plates and structural dynamics. This comprehensive resource spans twelve chapters and two appendices. Appendix A provides MATLAB code for problem-solving while Appendix B guides you through using ABAQUS. Begin with a historical introduction and explore the essentials of finite element analysis. Dive into nodes elements interpolation functions and FEA formalization. Focus on one-dimensional and two-dimensional elements and learn numerical integration with Gaussian quadrature. Discover axisymmetric and three-dimensional elements and apply FEA to analyze thin and thick plates. Explore structural dynamics and vibrations in the final chapter. Appendix A contains MATLAB code for seventeen numerical examples and Appendix B offers a step-by-step ABAQUS procedure. 'Finite Element Analysis of Structures using MATLAB' is your ultimate resource for practical understanding. Whether it's coursework or deeper exploration this book with clear explanations and relevant examples is your invaluable companion."

"Fundamentals of LiDAR Remote Sensing" by P.K. Garg and Arti Tiwari is a thorough exploration of LiDAR technology its principles and its applications. The book covers the basics of LiDAR including its components systems and data processing techniques as well as its applications in various domains such as agriculture forestry urban planning and autonomous vehicles. With a focus on providing a deep understanding of laser scanning and its data processing techniques the book addresses theories and practices of information extraction from LiDAR data including terrain surface generation forest inventory and 3D modeling. Written by experts in the field this comprehensive book is an essential resource for students and professionals working in diverse disciplines including geomatics civil engineering earth sciences and computer science.

About the Book In "Mastering Data Science Using R Programming " embark on a comprehensive journey through the fundamental concepts and techniques of data science. Designed as a practical guide for students and professionals alike this textbook breaks down the intricacies of data science into seven units. From delving into Linear Algebra and Eigenvalues to exploring Random Variables and Hypothesis Testing each unit builds upon the last to create a seamless learning experience. Dive into the world of R Programming mastering Variables Functions Control Structures and Simulation. With insights into Classification Clustering Association Rule Mining and real-world Case Studies this book equips you with the tools to apply data science effectively. Clear explanations and relevant examples make complex topics easily digestible ensuring that you emerge well-versed in the art of data science. "Mastering Data Science Using R Programming" is a must-have resource for aspiring data scientists eager to excel in this dynamic field. Start your journey to mastery today!

This book gives a systemic account of major concepts methodologies of artificial neural networks and to present a unified frame work that makes the subject more accessible to students and practitioners. The book emphasizes fundamental theoretical aspects of the computational capabilities and learning abilities of artificial neural networks. It integrates important theoretical results on artificial neural networks and uses them to explain a wide range of existing empirical observations and commonly used heuristics. The main audience of the book is undergraduate students in electrical engineering computer science and engineering. It can also be used as a valuable resource for practical engineering computer scientists and others involved in research of artificial neural networks

This book aims at the delivery of the content in a lucid manner; builds the understanding level of the reader in a well-structured manner and thus will be very good resource in the area of Digital Communication. It will be a one point contact for all the contents of the course on Digital Communication as per the prescribed syllabus for B.Tech (Electronics and Communication Engineering.) in many universities across the country. All the concepts discussed in theory are well established through a good number of numerical examples. The book enables the reader to attempt various question of Higher Order Thinking with confidence in the proposed area. To provide a good insight for the subject the concept discussed are validated through Matlab/Scilab simulations. This Book will be an excellent aid for the students preparing for various national level competitive Examinations in Engineering (ECE stream). Questions (including short answer questions) from previous such examinations are provided at the end of each chapter along with solutions.Contents:1. Introduction to a Digital Communication System2. Some Random Variables3. Sampling Theorem4. Analog to Digital Conversion5. Bandpass Digital Communication6. Baseband Signal Receiver7. Noise Performance of Digital Modulation Schemes8. Information Theory9. Source Coding.