標(biāo)題: Titlebook: Signal Processing Techniques for Computational Health Informatics; Md Atiqur Rahman Ahad,Mosabber Uddin Ahmed Book 2021 Springer Nature Sw [打印本頁] 作者: 葉子 時(shí)間: 2025-3-21 16:19
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書目名稱Signal Processing Techniques for Computational Health Informatics讀者反饋
書目名稱Signal Processing Techniques for Computational Health Informatics讀者反饋學(xué)科排名
作者: Cirrhosis 時(shí)間: 2025-3-21 22:19 作者: Abbreviate 時(shí)間: 2025-3-22 00:51
Md. Kafiul Islam,Amir Rastegarnia,Saeid Saneiomers Giovanni Bianchini, Jacob von Speier, and Christian Roder.. Most of the correspondence consists of problems and solutions, above all in spherical astronomy, but also in commercial arithmetic, algebra, geometry, trigonometry, other aspects of astronomy such as eclipses and planetary theory, and作者: ascetic 時(shí)間: 2025-3-22 05:13 作者: 歡樂中國 時(shí)間: 2025-3-22 11:31
Mosabber Uddin Ahmedis the principal reason for honouring him with a festschrift) Stillman Drake is also notable as one of the greatest collectors of books and manuscripts of the twentieth century, an era which has produced a considerable number of renowned collections. When he came to University of Toronto in 1967 fro作者: paragon 時(shí)間: 2025-3-22 16:48 作者: NATAL 時(shí)間: 2025-3-22 18:02
Allam Shehata,Mahmoud Salem,Md Atiqur Rahman Ahad major phases. The first of these phases saw the emergence of three distinct traditions of visual theory in Greco-Roman antiquity: (1) the “philosophical” tradition, which was rooted primarily in Platonic, Aristotelian, and Stoic doctrine, (2) the “medical” tradition, represented by the early Alexan作者: zonules 時(shí)間: 2025-3-22 23:49
Mobyen Uddin Ahmed,Shaibal Barua,Shahina Begum have an initial position, they can often be interpreted from two perspectives. More precisely, the way they are construed allows for more than one interpretation from different perspectives of the same linguistic expression. This underlying feature is manifested in the dynamic view of construal, na作者: microscopic 時(shí)間: 2025-3-23 02:07
Md Shajalal,Masaki Aonorms of spatial grounding in folksongs is based on the presumption that the different configurations of spatial grounding have their metaphorical correspondences and take part in the construal schemas partly presented in the previous chapter. The analysis is focused on two issues, spatial deixis and 作者: 牙齒 時(shí)間: 2025-3-23 08:58 作者: NOT 時(shí)間: 2025-3-23 09:55 作者: Additive 時(shí)間: 2025-3-23 16:25 作者: 記憶 時(shí)間: 2025-3-23 20:51 作者: 向下 時(shí)間: 2025-3-24 01:37
Shelia Rahman,Md. Imran Khan,Md. Shahriare Satu,Mohammad Zoynul Abedin have an initial position, they can often be interpreted from two perspectives. More precisely, the way they are construed allows for more than one interpretation from different perspectives of the same linguistic expression. This underlying feature is manifested in the dynamic view of construal, na作者: Limerick 時(shí)間: 2025-3-24 04:41 作者: enormous 時(shí)間: 2025-3-24 10:17 作者: Enervate 時(shí)間: 2025-3-24 13:18 作者: 和諧 時(shí)間: 2025-3-24 17:30
Signal Processing Techniques for Computational Health Informatics978-3-030-54932-9Series ISSN 1868-4394 Series E-ISSN 1868-4408 作者: BLINK 時(shí)間: 2025-3-24 19:40 作者: LARK 時(shí)間: 2025-3-25 02:57 作者: Innovative 時(shí)間: 2025-3-25 04:14 作者: cutlery 時(shí)間: 2025-3-25 11:31 作者: gerrymander 時(shí)間: 2025-3-25 14:08
Time-Frequency Analysis in Health Informatics,ransform, Fourier transform, wavelet as conceptual foundation of those are especially important in health informatics. Then we discuss about time-frequency resolutions, windowing, filtering, microphone arrays and transducer arrays, correlation analysis as basic understanding of these techniques are 作者: Postulate 時(shí)間: 2025-3-25 16:08 作者: 珠寶 時(shí)間: 2025-3-25 21:12 作者: 銀版照相 時(shí)間: 2025-3-26 00:27
Image Processing in Health Informatics,t the corresponding scene. Recently, biomedical images-based applications have received more attention from the image processing and health informatics research communities. Principally, biomedical image processing has become interesting in its multidisciplinary nature. The medical image processing 作者: 文件夾 時(shí)間: 2025-3-26 05:08 作者: Intersect 時(shí)間: 2025-3-26 09:27 作者: anachronistic 時(shí)間: 2025-3-26 13:35
Reconfigurable Computing and Hardware Acceleration in Health Informatics,l processing. This “biosignal” is essentially an electrophysiological signal from a living organism. In practice, these signals are frequently used to assess patients’ health and to discover bio-physiological anonymities. However, as most of the biosignal processing units are multichannel systems wi作者: seruting 時(shí)間: 2025-3-26 18:56
Health Informatics: Challenges and Opportunities,orporate not only collection and accumulation of data but also data analysis and presentation. A plethora of research activities has been going on in the field of HI due to the widespread of its probable applications. This chapter presents a comprehensive treatise on HI, its potential challenges, op作者: 有花 時(shí)間: 2025-3-27 00:00 作者: Collar 時(shí)間: 2025-3-27 03:00
,Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies,ith multivariate information coming from heterogeneous sources e.g. sensor signals, text, etc. This book chapter presents the research development of AI, ML and MR as applications in health informatics. Five case studies on health informatics have been discussed and presented as (1) advanced Parkins作者: corpus-callosum 時(shí)間: 2025-3-27 06:05
Risk Prediction with Machine Learning in Cesarean Section: Optimizing Healthcare Operational Decisining (ML) algorithms, it is being used for the complex, multidimensional and large data in healthcare systems. Cesarean section or C-section is the widely used method when any abnormality affects the normal birth of a child. The aim of this research is to identify the cesarean section of child birth作者: 遷移 時(shí)間: 2025-3-27 12:06 作者: 啟發(fā) 時(shí)間: 2025-3-27 17:07
,Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—An Overview,or the ability to apply prior knowledge to new situations with adaptation and changes. This book chapter presents some AI, ML and MR techniques and approached those are widely used in health informatics domains. Here, the overview of each technique is discussed to show how they can be applied in the development of a decision support system.作者: 條約 時(shí)間: 2025-3-27 18:55
Mental Health and Sensing, toward these detection methods. We also see available methods of therapeutic treatment available through digital means. We highlight a few key intervention technologies that are being developed by researchers to fight against mental illness issues.作者: 舊石器時(shí)代 時(shí)間: 2025-3-27 22:05
1868-4394 rmatics in the big data age.Discusses the incorporation of r.This book focuses on?signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technolo作者: 過分 時(shí)間: 2025-3-28 04:54
Book 2021ary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care,?the book?covers a comprehensive and representative?range?of signal processing techniques used in biomedical applica作者: SHOCK 時(shí)間: 2025-3-28 06:23
Time-Frequency Analysis in Health Informatics,especially useful for health informatics. The last part of the chapter also addresses more advanced techniques and few examples. The chapter should come to be useful for those who consider these techniques for their applications.作者: 粘 時(shí)間: 2025-3-28 11:08
Entropy Analysis in Health Informatics,presented. Then, more and very recent entropy measures are exposed and some of their used in health informatics are listed. This is performed from two points of view: for time series (uni-dimensional data) and for images (bi-dimensional data).作者: corpuscle 時(shí)間: 2025-3-28 15:11
Health Informatics: Challenges and Opportunities,portunities and some recommendations as the future directions for HI. All the pertinent aspects are discussed in this chapter with a view to relating their significance in HI and its applications. On the whole, the chapter ensures the fundamental information one needs to step into the world of HI.作者: nepotism 時(shí)間: 2025-3-28 19:03
,Artificial Intelligence, Machine Learning and Reasoning in Health Informatics—Case Studies,on’s disease, (2) stress management, (3) postoperative pain treatment, (4) driver monitoring, and (5) remote health monitoring. Here, the challenges, solutions, models, results, limitations are discussed with future wishes.作者: Muffle 時(shí)間: 2025-3-29 02:47
Risk Prediction with Machine Learning in Cesarean Section: Optimizing Healthcare Operational Decisi by considering some important situations of pregnant women using different ML algorithms. In this situation, several data imbalanced techniques were implemented in the cesarean data. Then, various classifiers were applied to the derived balanced and base cesarean sample. After applying ML classifiers, we have received a success rate over 95%.作者: 性別 時(shí)間: 2025-3-29 06:55 作者: 大炮 時(shí)間: 2025-3-29 07:47
Health Information Retrieval,d techniques for health information retrieval are generally categorized into (a) general classical retrieval models and (b) advanced re-ranking techniques. This chapter also presents the details of the datasets, evaluation metrics and procedures to validate the performance of any HIR methods.作者: obligation 時(shí)間: 2025-3-29 15:12
Origin and Dynamics of Biomedical Signals,ending on external impulse and signal acquisition site, of prominent bioelectrical signals require thorough analysis. Apart from the above mentioned?ones, there are other bioelectrical signals, originating from various parts and systems of the body, such as the EOG, ECoG and EGG. Furthermore, the dy作者: 脫毛 時(shí)間: 2025-3-29 17:05 作者: UTTER 時(shí)間: 2025-3-29 23:47
Image Processing in Health Informatics, in such surgery systems. Therefore, in this chapter, we shortly cover core principal medical image processing techniques, image enhancement, and compression. We consider to cover these techniques as they handle the most two challenges in biomedical imaging, which are image quality and image storage作者: Lumbar-Stenosis 時(shí)間: 2025-3-30 03:09
Reconfigurable Computing and Hardware Acceleration in Health Informatics,s the technique of designing application-specific circuits rather than using the general purpose processors to do the signal processing. Because of its low cost and fast computation property, reconfigurable architecture is characteristically suitable for Health Informatics and has become one of the 作者: amputation 時(shí)間: 2025-3-30 04:34
Automatic Epileptic Seizures Detection and EEG Signals Classification Based on Multi-domain Featureon, three-class and five-class classification of the EEG signals. The dataset has been collected from the University of Bonn. This method attained an accuracy of 99.54%, sensitivity of 98.56% and specificity of 99.76% for epileptic seizures detection. For three-class and five-class classification, a作者: conifer 時(shí)間: 2025-3-30 08:21
Book 2021age,?and addresses the incorporation of?recent techniques from the areas?of artificial intelligence, deep learning and human–computer interaction. The systematic analysis of the state-of-the-art techniques covered?here?helps to further our understanding?of the physiological processes?involved?and?ex作者: Hallmark 時(shí)間: 2025-3-30 13:45
Signal Processing Techniques for Computational Health Informatics作者: 有毒 時(shí)間: 2025-3-30 20:03
Abdul Kawsar Tushar,Muhammad Ashad Kabir,Syed Ishtiaque Ahmednstrual in folksongs. It provides a detailed example, based on over 1000 folksongs, of how a cultural group’s cognition can be analyzed and better understood through a representative corpus-based linguistic app978-981-13-5481-6978-981-10-5753-3Series ISSN 2520-145X Series E-ISSN 2520-1468 作者: 縮短 時(shí)間: 2025-3-31 00:24
