Amira S Suitcase

Amira's Suitcase is a gentle, thoughtful story about a little girl who arrives at a settlement camp with her family and a few suitcases. Before long, she finds a sprouting seed growing inside her suitcase and lovingly begins to nurture and look after the seed, like a new friend. She waters it, talks to it and takes it to the light. As the seed grows and grows, so does Amira's happiness, her friendships and her way of life. The seed becomes a powerful symbol for hope and happiness. This story encourages children to think about the process of nurturing something and helping it to grow. Exploring the key themes of friendship and inclusivity, this story ultimately shows that kindness can flourish even in difficult circumstances.

Ramadan has come to an end, and Amira can't wait to stay home from school to celebrate Eid. There's just one hiccup: it's also school picture day. How can Amira be in two places at once? Just the thought of Eid makes Amira warm and tingly inside. From wearing new clothes to handing out goody bags at the mosque, Amira can't wait for the festivities to begin. But when a flier on the fridge catches her eye, Amira's stomach goes cold. Not only is it Eid, it's also school picture day. If she's not in her class picture, how will her classmates remember her? Won't her teacher wonder where she is? Though the day's celebrations at the mosque are everything Amira was dreaming of, her absence at picture day weighs on her. A last-minute idea on the car ride home might just provide the solution to everything in this delightful story from acclaimed author Reem Faruqi, illustrated with vibrant color by Fahmida Azim.

This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges. Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization. In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.

When his Uncle Hizkel is arrested, Kabi and his family face an uncertain future as do all Jews living in 1950s' Baghdad. Each member of Kabi's circle has a different dream: his mother wants to return to the Moslem quarter where she felt safer; his father wants to emigrate to Israel and grow rice there while Salim, his headmaster, wants Arabs and Jews to be equal, and Abu Edouard just wants to continue to care for his beloved doves.

A colorful workbook to help children learn addition and subtraction using the Math Mastery approach! It’s time to master the world of math with this brand new workbook developed by experts to cover all the essential skills for children in the first stages of their math journey. Specifically designed for children aged 10-11, this math exercise book can gently help your child develop knowledge of drawing line plots and solving word problems, using conversion facts to solve measurement problems, and exploring volume and capacity. Let Math — No Problem! open your eyes to the wonderful world of numbers! So what are you waiting for? Dive straight in to discover: - Topics include maths problem-solving using graphs, averaging, and measuring. -Character-led learning with fun and friendly illustrations. - Comprehensive and thorough coverage of key concepts. - Helpful hints for extra practice. Heard of Math Mastery but don’t know where to begin? Don’t worry, DK has got you covered! Math Mastery is a transformational approach to teaching mathematics that was developed in Singapore and is now used around the world, including in thousands of schools across the US. Children are taught multiple methods to solve math problems, enabling them to gain a thorough and adaptable understanding of topics, making it easier for them to apply their knowledge to different scenarios. Each topic is studied in depth to develop a secure understanding of math concepts. This leads to greater progress in math learning, as topics are well understood and therefore don’t need to be revised in great detail, meaning each new concept builds on prior learning. Based on this widely successful approach, this wonderful workbook is full of top tips led by appealing characters who offer useful guidance to parents and children alike with the goal of making learning math both accessible and interesting. This workbook is part of a new series developed in partnership with the award-winning educational publisher Math — No Problem! The books encourage a deep knowledge of core math concepts without fostering a reliance on memorization or rote learning. A must-have math book for children aged 10-11 at a Grade 5 level, as well as for adults who wish to become more familiar with math taught in schools, to better support their children at home. From getting to grips with graphs to analyzing data, this helpful workbook covers it all while incorporating an inclusive approach which builds self-confidence so that no child feels they ‘can’t do math’. At DK, we believe in the power of discovery. So why not explore the rest of the workbooks in our Math — No Problem! Master Math At Home series? Each workbook can be bought individually or as part of a collection, specifically targeted to early learners aged 10-11 at a Grade 5 level. Know your numbers like a pro with Math — No Problem! Numbers to 10 Million, Grade 5 Ages 10-11 or join the geometry journey with Math — No Problem! Geometry and Shape, Grade 5 Ages 10-11. It’s as easy as 1, 2, 3!

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers. Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains

Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networks Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change Covers the most recent research on social network analysis and includes applications to a number of domains