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21 produkter
21 produkter
Inbunden, Engelska, 2025
2 031 kr
Skickas inom 10-15 vardagar
The rapid technological advancements in the healthcare industry over recent decades have been transformative. These innovations have not only enhanced our understanding of the morphology and physiology of various organs but have also significantly improved the early diagnosis and treatment of numerous diseases across different medical specialties. This progress has been largely driven by advancements in artificial intelligence (AI) and computer vision (CV). AI and CV enable the real-time collection, processing, interpretation, and analysis of vast amounts of static and dynamic medical data, revolutionizing disease characterization and patient selection. Early detection is crucial in treating life-threatening illnesses such as COVID-19, pneumonia, and cancer. Computer-based medical imaging techniques, including CT scans and X-rays, play a vital role in diagnosing these conditions. Similarly, biological signals like electroencephalography (EEG) and electrocardiography (ECG) help anticipate brain anomalies and heart diseases. Machine learning further enhances the accuracy of disease prediction, assisting clinicians in making precise diagnoses. By facilitating faster disease recognition, these technologies also enable wider access to healthcare, including remote and underserved areas. This book aims to develop machine learning algorithms that analyze diverse medical data and predict diseases based on their characteristics, ultimately advancing healthcare diagnostics and treatment strategies.
E-bok
PDF, Engelska, 2025944 kr
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The rapid technological advancements in the healthcare industry over recent decades have been transformative. These innovations have not only enhanced our understanding of the morphology and physiology of various organs but have also significantly improved the early diagnosis and treatment of numerous diseases across different medical specialties. This progress has been largely driven by advancements in artificial intelligence (AI) and computer vision (CV). AI and CV enable the real-time collection, processing, interpretation, and analysis of vast amounts of static and dynamic medical data, revolutionizing disease characterization and patient selection. Early detection is crucial in treating life-threatening illnesses such as COVID-19, pneumonia, and cancer. Computer-based medical imaging techniques, including CT scans and X-rays, play a vital role in diagnosing these conditions. Similarly, biological signals like electroencephalography (EEG) and electrocardiography (ECG) help anticipate brain anomalies and heart diseases. Machine learning further enhances the accuracy of disease prediction, assisting clinicians in making precise diagnoses. By facilitating faster disease recognition, these technologies also enable wider access to healthcare, including remote and underserved areas. This book aims to develop machine learning algorithms that analyze diverse medical data and predict diseases based on their characteristics, ultimately advancing healthcare diagnostics and treatment strategies.
E-bok
Engelska, 2025936 kr
Läs direkt efter köp
The rapid technological advancements in the healthcare industry over recent decades have been transformative. These innovations have not only enhanced our understanding of the morphology and physiology of various organs but have also significantly improved the early diagnosis and treatment of numerous diseases across different medical specialties. This progress has been largely driven by advancements in artificial intelligence (AI) and computer vision (CV). AI and CV enable the real-time collection, processing, interpretation, and analysis of vast amounts of static and dynamic medical data, revolutionizing disease characterization and patient selection. Early detection is crucial in treating life-threatening illnesses such as COVID-19, pneumonia, and cancer. Computer-based medical imaging techniques, including CT scans and X-rays, play a vital role in diagnosing these conditions. Similarly, biological signals like electroencephalography (EEG) and electrocardiography (ECG) help anticipate brain anomalies and heart diseases. Machine learning further enhances the accuracy of disease prediction, assisting clinicians in making precise diagnoses. By facilitating faster disease recognition, these technologies also enable wider access to healthcare, including remote and underserved areas. This book aims to develop machine learning algorithms that analyze diverse medical data and predict diseases based on their characteristics, ultimately advancing healthcare diagnostics and treatment strategies.
E-bok
PDF, Engelska, 2025936 kr
Läs direkt efter köp
The technological advancements made in recent decades have not only helped us better comprehend the morphology and physiology of the organs of the human body, but they have also advanced the diagnosis and, therefore, the treatment of a number of diseases in a variety of medical specialties from very early stages. Artificial Intelligence (AI) and Computer Vision (CV) enable us to collect, process, interpret, and analyze a limitless quantity of static and dynamic medical data in real time, which improve the way each disease is characterized and the patients are chosen. Many potentially fatal illnesses, such as COVID-19, pneumonia, and cancer, can be cured if diagnosed in initial stages very early on. Computer-based medical imaging techniques, such as CT scan and X-rays are useful in detecting all of these illnesses. On the other hand, various brain anomalies and heart diseases can also be anticipated using biological signals, like electroencephalography (EEG), electrocardiogram (ECG) etc. The application of machine learning makes the predictions more accurate and help the clinician to detect appropriate one. This helps in faster recognition of disease as well as with the intervention of the technology, makes it feasible to spread to the remote places. The goal of the book is to create machine learning algorithms that aids in the analysis of diverse medical data and the prediction of diseases based on the characteristics of the data.
E-bok
Engelska, 2025944 kr
Läs direkt efter köp
The technological advancements made in recent decades have not only helped us better comprehend the morphology and physiology of the organs of the human body, but they have also advanced the diagnosis and, therefore, the treatment of a number of diseases in a variety of medical specialties from very early stages. Artificial Intelligence (AI) and Computer Vision (CV) enable us to collect, process, interpret, and analyze a limitless quantity of static and dynamic medical data in real time, which improve the way each disease is characterized and the patients are chosen. Many potentially fatal illnesses, such as COVID-19, pneumonia, and cancer, can be cured if diagnosed in initial stages very early on. Computer-based medical imaging techniques, such as CT scan and X-rays are useful in detecting all of these illnesses. On the other hand, various brain anomalies and heart diseases can also be anticipated using biological signals, like electroencephalography (EEG), electrocardiogram (ECG) etc. The application of machine learning makes the predictions more accurate and help the clinician to detect appropriate one. This helps in faster recognition of disease as well as with the intervention of the technology, makes it feasible to spread to the remote places. The goal of the book is to create machine learning algorithms that aids in the analysis of diverse medical data and the prediction of diseases based on the characteristics of the data.
Inbunden, Engelska, 2025
1 670 kr
Skickas inom 10-15 vardagar
The technological advancements made in recent decades have not only helped us better comprehend the morphology and physiology of the organs of the human body, but they have also advanced the diagnosis and, therefore, the treatment of a number of diseases in a variety of medical specialties from very early stages. Artificial Intelligence (AI) and Computer Vision (CV) enable us to collect, process, interpret, and analyze a limitless quantity of static and dynamic medical data in real time, which improve the way each disease is characterized and the patients are chosen. Many potentially fatal illnesses, such as COVID-19, pneumonia, and cancer, can be cured if diagnosed in initial stages very early on. Computer-based medical imaging techniques, such as CT scan and X-rays are useful in detecting all of these illnesses. On the other hand, various brain anomalies and heart diseases can also be anticipated using biological signals, like electroencephalography (EEG), electrocardiogram (ECG) etc. The application of machine learning makes the predictions more accurate and help the clinician to detect appropriate one. This helps in faster recognition of disease as well as with the intervention of the technology, makes it feasible to spread to the remote places. The goal of the book is to create machine learning algorithms that aids in the analysis of diverse medical data and the prediction of diseases based on the characteristics of the data.
Häftad, Engelska, 2017
125 kr
Skickas inom 5-8 vardagar
E-bok
Engelska, 201772 kr
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Loving someone is never easy. Love has its own trials and tribulations. But what if you lose the person you love? What if you come to know that everything you knew about him was a lie? Does it make you love him less? Is it easy coping up with such loss and betrayala betrayal that comes to light after the person ceases to exist?The choices Maya has to make arent easy. Forgetting him isnt easy. Forgiving him isnt easy either. This is her story. The story of her love, the story of how she lost people whom she loved, and the story of how she rediscovered herself. This is the story of Vivaans betrayal. And this is the story of Anshs choiceschoices that changed lives.Maya and Ansh are bound together by a lot more than memories. It is loss that unites them and that connects them. But sometimes even love isnt enough.Will Maya find the love of her life? Will she ever forgive Ansh and Vivaan? Will Maya find happiness in the quest of her dreams?Will Ansh find his way back to the love of his life? Will love stay? Will destiny bring them together?
Inbunden, Engelska, 2017
253 kr
Skickas inom 5-8 vardagar
Del 16357 - Lecture Notes in Computer Science
Pattern Recognition and Machine Intelligence
11th International Conference, PReMI 2025, Delhi, India, December 11–14, 2025, Proceedings, Part I
Häftad, Engelska, 2026
918 kr
Skickas inom 5-8 vardagar
This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.
E-bok
Engelska, 20261 101 kr
Läs direkt efter köp
This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.
Del 16358 - Lecture Notes in Computer Science
Pattern Recognition and Machine Intelligence
11th International Conference, PReMI 2025, Delhi, India, December 11–14, 2025, Proceedings, Part II
Häftad, Engelska, 2026
833 kr
Skickas inom 10-15 vardagar
This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.
E-bok
Engelska, 20261 022 kr
Läs direkt efter köp
This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.
Inbunden, Engelska, 2017
1 681 kr
Skickas inom 10-15 vardagar
This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis, type-2 fuzzy logic, neural networks and evolutionary computation for classification of gestural data. The application areas include the recognition of primitive postures in ballet/classical Indian dances, detection of pathological disorders from gestural data of elderly people, controlling motion of cars in gesture-driven gaming and gesture-commanded robot control for people with neuro-motor disability. The book is unique in terms of its content, originality and lucid writing style. Primarily intended for graduate students and researchers in the field of electrical/computer engineering, the book will prove equally useful to computer hobbyists and professionals engaged in building firmware for human-computer interfaces. A prerequisite of high school level mathematics issufficient to understand most of the chapters in the book. A basic background in image processing, although not mandatory, would be an added advantage for certain sections.
E-bok
PDF, Engelska, 20171 622 kr
Läs direkt efter köp
This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis, type-2 fuzzy logic, neural networks and evolutionary computation for classification of gestural data. The application areas include the recognition of primitive postures in ballet/classical Indian dances, detection of pathological disorders from gestural data of elderly people, controlling motion of cars in gesture-driven gaming and gesture-commanded robot control for people with neuro-motor disability.
The book is unique in terms of its content, originality and lucid writing style. Primarily intended for graduate students and researchers in the field of electrical/computer engineering, the book will prove equally useful to computer hobbyists and professionals engaged in building firmware for human-computer interfaces. A prerequisite of high school level mathematics issufficient to understand most of the chapters in the book. A basic background in image processing, although not mandatory, would be an added advantage for certain sections.
Häftad, Engelska, 2018
1 235 kr
Skickas inom 10-15 vardagar
This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis, type-2 fuzzy logic, neural networks and evolutionary computation for classification of gestural data. The application areas include the recognition of primitive postures in ballet/classical Indian dances, detection of pathological disorders from gestural data of elderly people, controlling motion of cars in gesture-driven gaming and gesture-commanded robot control for people with neuro-motor disability. The book is unique in terms of its content, originality and lucid writing style. Primarily intended for graduate students and researchers in the field of electrical/computer engineering, the book will prove equally useful to computer hobbyists and professionals engaged in building firmware for human-computer interfaces. A prerequisite of high school level mathematics issufficient to understand most of the chapters in the book. A basic background in image processing, although not mandatory, would be an added advantage for certain sections.
Inbunden, Engelska, 2012
549 kr
Skickas inom 10-15 vardagar
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection.The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.
E-bok
PDF, Engelska, 2012687 kr
Läs direkt efter köp
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.
This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection.
The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.
Häftad, Engelska, 2015
549 kr
Skickas inom 10-15 vardagar
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection.The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.
Del 1378 - Lecture Notes in Networks and Systems
Modern Practices and Trends in Expert Applications and Security
Proceedings of MP-TEAS 2024, Volume 1
Häftad, Engelska, 2025
2 797 kr
Skickas inom 10-15 vardagar
This book is a collection of best selected research papers presented at the International Conference on Modern Practices and Trends in Expert Applications and Security (MP-TEAS 2024). This book contains articles on current trends of machine learning, internet of things, and smart cities applications emphasizing on multi-disciplinary research in the areas of artificial intelligence and cyber physical systems. The book is a great resource for scientists, research scholars, and PG students to formulate their research ideas and find future directions in these areas.
Modern Practices and Trends in Expert Applications and Security
Proceedings of MP-TEAS 2024, Volume 1
E-bok
Engelska, 20253 482 kr
Läs direkt efter köp
This book is a collection of best selected research papers presented at the International Conference on Modern Practices and Trends in Expert Applications and Security (MP-TEAS 2024). This book contains articles on current trends of machine learning, internet of things, and smart cities applications emphasizing on multi-disciplinary research in the areas of artificial intelligence and cyber physical systems. The book is a great resource for scientists, research scholars, and PG students to formulate their research ideas and find future directions in these areas.