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

"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.

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.

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

Dive into the future of education with "Teaching in the Digital Age: A Guide to Modernizing Higher Education." From traditional chalkboards to cutting-edge keyboards this enlightening guide is designed for educators navigating the digital realm. Through the lens of innovative tools like interactive whiteboards multimedia presentations and virtual reality educators are shown how technology can revolutionize higher education creating dynamic and inclusive learning environments. Packed with practical tips engaging case studies and inspiring examples this book empowers teachers to embrace learner-centric approaches and leverage technology for enhanced collaboration and personalized learning experiences. Whether you're a seasoned educator or just starting out join the digital revolution and transform your teaching with creativity adaptability and a growth mindset. Say farewell to the chalkboard and welcome the keyboard as you embark on a journey of discovery in the ever-evolving landscape of modern education.

Step into the future of pharmaceutical product management with The Pharma Product Manager: Handbook for Navigating the Digital Frontier. As the healthcare industry evolves rapidly pharmaceutical product managers are at the forefront of this transformation. This essential guide equips you with the knowledge skills and strategies needed to thrive in a digital age where innovation data and customer-centric approaches redefine success. Inside you'll discover: Core Competencies for Digital Mastery: Develop the critical skills and leadership capabilities to manage product lifecycles launch strategies and cross-functional teams. Scientific Regulatory Insights: Master the intricacies of drug development clinical trials and regulatory affairs to make informed decisions that drive growth. Navigating Digital Marketing Channels: Leverage digital tools AI and emerging technologies to design impactful marketing strategies and engage with key stakeholders. Effective Product Launch and Lifecycle Management: This section provides step-by-step guidance on launching and managing pharmaceutical products in a highly competitive fast-changing market. Real-World Case Studies: Learn from successful product launches lifecycle extensions and strategic marketing decisions leading pharma companies make.Whether you're a seasoned product manager or new to the field this handbook provides the essential roadmap to success in the pharmaceutical industry's dynamic digital frontier. Stay ahead of the curve and lead your product to success in an increasingly connected world.Prepare. Adapt. Lead. Welcome to the future of pharmaceutical product management.

Whispering to AI: Prompt Engineering for Pharma Brand Managers isn't just another marketing guide. It's your secret weapon to unlocking the power ofAI in pharma.Inside you'll learn how to use AI to: Craft messages that speak to yourpatients.Forget generic ads - let AI help you create personalized connected experiences. Unleash your creativity.AI isn't here to replace you;it's your partner for crafting amazing content that grabs attention. Stay ahead of the game. Learn how to use AI to analyze data understand your competitors and create marketing campaigns that truly stand out.This book isn't just about technology; it's about building stronger relationshipswith patients and revolutionizing the way you do pharma marketing.Ready to unlock the future? Get your copy today!

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!

Учебное пособие предназначено для изучения дисциплины «Медицинские информационные системы» для слушателей ординатуры.

Учебное пособие содержит подробные методические указания к практическим занятиям, темы рефератов, творческих заданий. Оно предназначено для изучения дисциплины «Информационные технологии в профессиональной деятельности», входящей в государственный образовательный стандарт подготовки специалистов по направлению 34.02.01 Сестринское дело. Учебное пособие направлено на развитие знаний, умений и навыков по информационным технологиям, необходимых квалифицированному работнику здравоохранения.

Учебное пособие предназначено для студентов первого курса лечебного факультета. Цель пособия состоит в формировании и развитии знаний, умений и практических навыков по современным информационным технологиям, в частности в умении использовать возможности системы «живой» математики GeoGebra для решения практических и прикладных задач, что является важным умением квалифицированного медицинского работника и способствует развитию исследовательской компетентности как важной составной части профессиональной компетентности будущего врача.

Учебное пособие утверждено УМС ФГБОУ ВО РязГМУ Минздрава России.

Биоинформатика - активная область исследований, в которой используется ряд простых и сложных вычислений для извлечения ценной информации из биологических данных. Из книги вы узнаете, как управлять этими задачами с помощью языка Python.

Вы рассмотрите ключевые методы секвенирования нового поколения, анализа отдельных клеток, геномики, метагеномики, а также узнаете, как применяются алгоритмы машинного обучения в биоинформатике.

Книга предназначена для аналитиков в области биоинформатики, специалистов по данным, вычислительных биологов, исследователей и разработчиков Python.