Step into the captivating world of Show Strides, where two young horseback riders, Tally and Mac, learn important lessons at their stable: Quince Oaks. This series is a fresh and modern take on equestrian stories. The characters are modern, real, and grounded, navigating age-relatable issues of making new friends, waxing and waning confidence, family struggles, and discovering who they are. Show Strides introduces readers to characters who mirror their passion for horses and the challenges that come along with the sport. Mac Bennett, is carving her path in the medium pony hunter division. With determination and hard work, she's setting her sights on an extraordinary show goal that will test her limits. Can Mac defy expectations and achieve her goal? Will Tally continue riding sales ponies, or will she return to lessons on the barn's school horses? The anticipation is palpable as Tally and Mac grapple with uncertainty. In this next chapter of their stories, the two new friends, along with the rest of the Quince Oaks crew, will navigate the twists and turns of their equestrian aspirations, weaving a tale of friendship, determination, and the pursuit of their dreams. Join Tally, Mac, and the rest of their friends as they navigate the exciting world of equestrian competition! Unique paths converge, forming heartwarming friendships among riders and among riders and their horses.

The book reviews core concepts of machine learning (ML) while focusing on modern applications. It is aimed at those who want to advance their understanding of ML by providing technical and practical insights. It does not use complicated mathematics to explain how to benefit from ML algorithms. Unlike the existing literature, this work provides the core concepts with emphasis on fresh ideas and real application scenarios. It starts with the basic concepts of ML and extends the concepts to the different deep learning algorithms. The book provides an introduction and main elements of evaluation tools with Python and walks you through the recent applications of ML in self-driving cars, cognitive decision making, communication networks, security, and signal processing. The concept of generative networks is also presented and focuses on GANs as a tool to improve the performance of existing algorithms. In summary, this book provides a comprehensive technological path from fundamental theories to the categorization of existing algorithms, covers state-of-the-art, practical evaluation tools and methods to empower you to use synthetic data to improve the performance of applications.

In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance

The 2016 2nd International Conference on Energy Equipment Science and Engineering (ICEESE 2016) was held on November 12-14, 2016 in Guangzhou, China. ICEESE 2016 brought together innovative academics and industrial experts in the field of energy equipment science and engineering to a common forum. The primary goal of the conference is to promote research and developmental activities in energy equipment science and engineering and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in energy equipment science and engineering and related areas. This second volume of the two-volume set of proceedings covers the field of Structural and Materials Sciences, and Computer Simulation & Computer and Electrical Engineering.

This book covers a wide range of important topics including but not limited to Technology Trends, Computing, Artificial Intelligence, Machine Vision, Communication, Security, e-Learning, and Ambient Intelligence and their applications to the real world. The sixth Future Technologies Conference 2021 was organized virtually and received a total of 531 submissions from academic pioneering researchers, scientists, industrial engineers, and students from all over the world. After a double-blind peer review process, 191 submissions have been selected to be included in these proceedings. One of the meaningful and valuable dimensions of this conference is the way it brings together a large group of technology geniuses in one venue to not only present breakthrough research in future technologies, but also to promote discussions and debate of relevant issues, challenges, opportunities and research findings. We hope that readers find the book interesting, exciting, and inspiring; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.

This steamy collection includes the last four stories from the Bachelorette Party series. Slapped Into Love: This hot hockey player was skilled on and off the ice, but a sexy speedskater was going to make him even better. Married Into Love: What happens in Vegas doesn’t always stay there, and somehow this hockey hottie found himself married to a stranger. Chased Into Love: This steadfast guy stayed away from trouble, until it came barreling his way in a tempting package. Bounced Into Love: This smoking-hot bouncer felt like his hands were still dirty after the things he’d seen and done as a collector for a Las Vegas bookie, but that didn’t mean he was going to let his red-haired angel go.

Step into the captivating world of Show Strides, where two young horseback riders, Tally and Mac, learn important lessons at their stable: Quince Oaks. This series is a fresh and modern take on equestrian stories. The characters are modern, real, and grounded, navigating age-relatable issues of making new friends, waxing and waning confidence, family struggles, and discovering who they are. Show Strides introduces readers to characters who mirror their passion for horses and the challenges that come along with the sport. Show Strides is a middle-grade series that immerses readers in the thrilling world of riding, horsemanship, and the special connections formed with animal friends and fellow horse enthusiasts. Tally, a diligent working student, is working on refining her riding skills with the stable's school horses when she meets Mac, a new girl with big dreams who is pushing herself to improve alongside her trusty pony. As Tally tries to work hard to impress the new coach and prove she can take things to the next level, Mac prepares for more professional shows. Together, with their new trainer, they'll work toward their own goals, these girls will learn more about each other, themselves, and what it takes to chase their dreams and work for them, too. Join Tally, Mac, and the rest of their friends as they navigate the exciting world of equestrian competition! Unique paths converge, forming heartwarming friendships among riders and among riders and their horses.

In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance

In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance