Chaudhary ankit (72 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. Print on Demand.

Paperback. Condizione: Brand New. 172 pages. Gujarati language. 5.50x0.40x8.50 inches. In Stock.

Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | "A DIVINE LOVE STORY" is an enchanting tale of supernatural love. It revolves around Avantika, a sage maiden, who implores Mahadeva for a message to appease her father's jealousy. Mother Parvati, recognizing Avantika's devotion to Mahadeva, insists on sending a message to her. Consequently, Mahadeva dispatches a message to the Gandharva Abhiratha, who resides in Prithviloka, and their paths intertwine. Upon their meeting in Prithviloka, Abhiratha delivers Mahadeva's message to Avantika before returning to Mount Kailash. However, upon reaching Mount Kailash, he beseeches Mahadeva to allow him to return to Prithviloka, as he desires to continue his divine love story with Avantika. Touched by his sincerity, Mahadeva grants him permission to stay in Prithviloka, concealing his true identity as a Gandharva. Abhiratha then ventures back to Dhartiloka, where his enchanting love story with Avantika unfolds. As the narrative unfolds, Mahadeva and Mother Parvati bear witness to the union of Abhiratha and Avantika, marking the culmination of their divine love story. Their presence at the sacred ceremony signifies the profound blessing bestowed upon the couple by the divine entities themselves. The story of "A DIVINE LOVE STORY" serves as a testament to the enduring power of love, transcending mortal and celestial realms alike. It explores the depths of devotion, sacrifice, and the boundless nature of true love. Avantika's unwavering faith and Abhiratha's genuine affection intertwine to create a tale that captivates the hearts of its readers. Within the realm of this extraordinary love story, readers are transported to a world where the extraordinary becomes ordinary and where the impossible becomes attainable. Avantika's plea for a message, the celestial connection between Abhiratha and Mahadeva, and the divine intervention of Mother Parvati all serve as reminders that love can defy all odds and bridge the gap between different worlds. The union of Abhiratha and Avantika, witnessed by Mahadeva and Mother Parvati, signifies the harmonious alignment of mortal and divine realms. Their divine love story stands as a beacon of hope, inspiring others to embrace the transformative power of love and the significance of following one's true path. As the final chapter unfolds, the divine love story of "A DIVINE LOVE STORY" draws to a close, leaving an indelible mark on the hearts of those who have experienced its magic. The profound message it imparts is that love, guided by faith and nurtured by the divine, has the ability to transcend barriers and fulfill the deepest desires of the soul. In the annals of literature, "A DIVINE LOVE STORY" shines as a timeless testament to the enduring power of love. Its pages echo with the celestial melodies of devotion and the ethereal whispers of divine intervention. This captivating love story serves as a constant reminder that true love knows no boundaries and that the bonds of affection can transcend the realms of gods and mortals alike. As the story comes to a close, the legacy of "A DIVINE LOVE STORY" lives on, forever etched in the hearts of those who have embarked on this extraordinary journey.…

Hardcover. Condizione: new. Hardcover. This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. Observations and results have confirmed that this research work can be used to remotely control a robotic hand using hand gestures. The system developed here is also able to recognize hand gestures in different lighting conditions. The pre-processing is performed by developing an image-cropping algorithm that ensures only the area of interest is included in the segmented image. The segmented image is compared with a predefined gesture set which must be installed in the recognition system. These images are stored and feature vectors are extracted from them. These feature vectors are subsequently presented using an orientation histogram, which provides a view of the edges in the form of frequency. Thereby, if the same gesture is shown twice in different lighting intensities, both repetitions will map to the same gesture in the stored data. The mapping ofthe segmented image's orientation histogram is firstly done using the Euclidian distance method. Secondly, the supervised neural network is trained for the same, producing better recognition results. An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator. Such robotic hands have applications in commercial, military or emergency operations where human life cannot be risked. For such applications, an artificial robotic hand is required to perform real-time operations. This robotic hand should be able to move its fingers in the same manner as a human hand. For this purpose, hand geometry parameters are obtained using a webcam and also using KINECT. The parameter detection is direction invariant in both methods. Once the hand parameters are obtained, the fingers angle information is obtained by performing a geometrical analysis. An artificial neural network is also implemented to calculate the angles. These two methods can be used with only one hand, either right or left. A separate method that is applicable to both hands simultaneously is also developed and fingers angles are calculated. The contents of this book will be useful for researchers and professional engineers working on robotic arm/hand systems. This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Condizione: New.

Hardback. Condizione: New. Computer vision is an interdisciplinary scientific field that deals with how computers obtain, store, interpret and understand digital images or videos using artificial intelligence based on neural networks, machine learning and deep learning methodologies. They are used in countless applications such as image retrieval and classification, driving and transport monitoring, medical diagnostics and aerial monitoring. Written by a team of international experts, this edited book covers the state-of-the-art of advanced research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real world applications including object detection, biometrics, Deepfake detection, sentiment and emotion analysis, traffic enforcement camera monitoring, vehicle control and aerial remote sensing imagery. The book will be useful for industry and academic researchers, scientists and engineers in the fields of computer vision, machine vision, image processing and recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It will also make a great course reference for advanced students and lecturers in these fields of research.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 120.

Condizione: New.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. Observations and results have confirmed that this research work can be used to remotely control a robotic hand using hand gestures. The system developed here is also able to recognize hand gestures in different lighting conditions. The pre-processing is performed by developing animage-croppingalgorithm that ensures only the area of interest is included in the segmented image. The segmented image is compared with a predefined gesture set which must be installed in the recognition system. These images are stored and feature vectors are extracted from them. These feature vectors are subsequently presented using an orientation histogram, which provides a view of the edges in the form of frequency. Thereby, if the same gesture is shown twice in different lighting intensities, both repetitions will map to the same gesture in the stored data. The mapping ofthe segmented image's orientation histogram is firstly done using the Euclidian distance method. Secondly, the supervised neural network is trained for the same, producing better recognition results.An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator. Such robotic hands have applications in commercial, military or emergency operations where human life cannot be risked. For such applications, an artificial robotic hand is required to perform real-time operations. This robotic hand should be able to move its fingers in the same manner as a human hand. For this purpose, hand geometry parameters are obtained using a webcam and also using KINECT. The parameter detection is direction invariant in both methods. Once the hand parameters are obtained, the fingers' angle information is obtained by performing a geometrical analysis. An artificial neural network is also implemented to calculate the angles. These two methods can be used with only one hand, either right or left. A separate method that is applicable to both hands simultaneously is also developed and fingers angles are calculated. The contents of this book will be useful for researchers and professional engineers working on robotic arm/hand systems.…

Hardcover. Condizione: Brand New. 96 pages. 9.50x6.25x0.50 inches. In Stock.

Condizione: New. pp. 109.

Taschenbuch. Condizione: Neu. Robust Hand Gesture Recognition for Robotic Hand Control | Ankit Chaudhary | Taschenbuch | xxi | Englisch | 2019 | Springer | EAN 9789811352348 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 342 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condizione: New.

Paperback. Condizione: New. IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.…

Paperback. Condizione: Brand New. reprint edition. 120 pages. 9.25x6.10x0.28 inches. In Stock.

Condizione: New.

Hardback. Condizione: New. Computer vision is an interdisciplinary scientific field that deals with how computers obtain, store, interpret and understand digital images or videos using artificial intelligence based on neural networks, machine learning and deep learning methodologies. They are used in countless applications such as image retrieval and classification, driving and transport monitoring, medical diagnostics and aerial monitoring. Written by a team of international experts, this edited book covers the state-of-the-art of advanced research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real world applications including object detection, biometrics, Deepfake detection, sentiment and emotion analysis, traffic enforcement camera monitoring, vehicle control and aerial remote sensing imagery. The book will be useful for industry and academic researchers, scientists and engineers in the fields of computer vision, machine vision, image processing and recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It will also make a great course reference for advanced students and lecturers in these fields of research.…