標(biāo)題: Titlebook: Artificial Intelligence in Medical Virology; Jyotir Moy Chatterjee,Shailendra K. Saxena Book 2023 The Editor(s) (if applicable) and The Au [打印本頁(yè)] 作者: 葉子 時(shí)間: 2025-3-21 17:46
書(shū)目名稱Artificial Intelligence in Medical Virology影響因子(影響力)
書(shū)目名稱Artificial Intelligence in Medical Virology影響因子(影響力)學(xué)科排名
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書(shū)目名稱Artificial Intelligence in Medical Virology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Artificial Intelligence in Medical Virology被引頻次
書(shū)目名稱Artificial Intelligence in Medical Virology被引頻次學(xué)科排名
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書(shū)目名稱Artificial Intelligence in Medical Virology讀者反饋
書(shū)目名稱Artificial Intelligence in Medical Virology讀者反饋學(xué)科排名
作者: Immortal 時(shí)間: 2025-3-22 00:14 作者: radiograph 時(shí)間: 2025-3-22 03:25
2662-981X l devices for Medical Virology.Discusses risks and remedies .This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structu作者: AMPLE 時(shí)間: 2025-3-22 08:30
Book 2023ogy. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare. The subsequent chapt作者: 膽大 時(shí)間: 2025-3-22 10:25
Saggi biologici (farmacologici)e discoursed. The main aim of this research?work is to highlight various techniques used to track COVID-19 also compassion has been done to find the overall performance, accuracy, correctness, F-I score, dice score, and limitations of these techniques.作者: deriver 時(shí)間: 2025-3-22 14:06 作者: 概觀 時(shí)間: 2025-3-22 17:42
The Role of Artificial Intelligence to Track COVID-19 Disease,e discoursed. The main aim of this research?work is to highlight various techniques used to track COVID-19 also compassion has been done to find the overall performance, accuracy, correctness, F-I score, dice score, and limitations of these techniques.作者: 蘆筍 時(shí)間: 2025-3-22 22:26
Stroke Disease Prediction Model Using ANOVA with Classification Algorithms, of approximately 97% without ANOVA and Decision Tree algorithm with ANOVA method gave 96%. The accuracy of the developed models employed in this study is substantially better, showing that the models employed in this study are much more reliable. And it can be deduced from previous existing works.作者: 補(bǔ)角 時(shí)間: 2025-3-23 03:35 作者: 鐵塔等 時(shí)間: 2025-3-23 05:41 作者: 奴才 時(shí)間: 2025-3-23 11:27
Artificial Intelligence in Rural Health in Developing Countries,a. This leaves them with a public health crisis where they are not able to get diagnostic and treatment facilities. This inequality is further increased by the lack of a working environment of doctors having a super specialty. With the advent of telemedicine, many of the rural health settings are no作者: EXCEL 時(shí)間: 2025-3-23 17:57
The Role of Artificial Intelligence to Track COVID-19 Disease, Disease by using assessment of Artificial Intelligence. Pharmaceutical images, for example, computed tomography (CT) and X-ray show a needed part in the universal contest in contradiction of COVID-19; however, in recent times, developing artificial intelligence (AI) machinery additionally reinforce作者: Schlemms-Canal 時(shí)間: 2025-3-23 19:56
Artificial Intelligence Techniques Based on K-MeansTwo Way Clustering and Greedy Triclustering Apprlgorithms, regression algorithms, and clustering algorithms have traditionally been the three basic pillars of AI. The use of K-Means. and Greedy approaches for the triclustering of 3D GED using Artificial Intelligence Techniques is discussed in this chapter. The main goal is to create a triclusteri作者: Impugn 時(shí)間: 2025-3-23 23:48
Detection of COVID-19 Cases from X-Ray and CT Images Using Transfer Learning and Deep Convolution N improving the precision of order or forecasts without measuring vulnerability in a choice. Knowing how much sureness there is in a PC-based clinical finding is crucial for getting clinicians’ confidence in the advancement and, in this way, further developing treatment. The COVID-19 pandemic has had作者: GRAIN 時(shí)間: 2025-3-24 03:10
,Computer Vision: A Detailed Review on?Augmented Reality (AR), Virtual Reality (VR), Telehealth, andinistrations are of extraordinary interest to specialist organizations, gadget designers, and clients. This paper recognizes computer vision from traditional informal community and gives an exhaustive review of computer vision with respect of their utilization, benefits, arrangement, and plan of the作者: MENT 時(shí)間: 2025-3-24 09:35 作者: ARY 時(shí)間: 2025-3-24 14:42
A Concise Review on Developmental and Evaluation Methods of Artificial Intelligence on COVID-19 Detonts to astound the unseen situation. Medical imaging modalities like computed tomography and X-ray play a critical role to combat COVID-19, whereas the intrusion of AI techniques strengthen further the diagnostic process and help medical experts. However, several obstacles inhibit greater implement作者: lymphedema 時(shí)間: 2025-3-24 17:03
Artificial Intelligence-Based Healthcare Industry 4.0 for Disease Detection Using Machine Learning nt Decision Support Systems and Recommendation Systems. The intelligence of these systems is backed by Machine Learning Techniques. Advancement in Machine Learning (ML) Techniques has led to the innovations in healthcare systems. Automatic intelligent systems are developed on the basis of multiple c作者: Fantasy 時(shí)間: 2025-3-24 22:50
Deep Autoencoder Neural Networks for Heart Sound Classification,cular diseases (CVDs). Recent advances in deep learning have led to the development of efficient classification algorithms with enhanced classification rates and accuracy compared to traditional methods. In this book chapter, we have attempted to analyze PCG signals by using time–frequency represent作者: conception 時(shí)間: 2025-3-25 00:01 作者: 象形文字 時(shí)間: 2025-3-25 03:53 作者: exhilaration 時(shí)間: 2025-3-25 08:59 作者: vasculitis 時(shí)間: 2025-3-25 11:53 作者: Exploit 時(shí)間: 2025-3-25 17:15
978-981-99-0371-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: WAX 時(shí)間: 2025-3-25 21:51
Saggi biologici (farmacologici)-middle income countries. Artificial intelligence’s potential has created an opportunity for the global population health. AI has benefited from the global digital theme that has been central in most of the societies around the world. With growing expectations and acceptance of digital life around t作者: 遺忘 時(shí)間: 2025-3-26 02:56 作者: 運(yùn)氣 時(shí)間: 2025-3-26 07:04 作者: 場(chǎng)所 時(shí)間: 2025-3-26 10:26 作者: heart-murmur 時(shí)間: 2025-3-26 13:32
https://doi.org/10.1007/978-88-470-0663-8lgorithms, regression algorithms, and clustering algorithms have traditionally been the three basic pillars of AI. The use of K-Means. and Greedy approaches for the triclustering of 3D GED using Artificial Intelligence Techniques is discussed in this chapter. The main goal is to create a triclusteri作者: mediocrity 時(shí)間: 2025-3-26 17:55
https://doi.org/10.1007/978-88-470-0663-8 improving the precision of order or forecasts without measuring vulnerability in a choice. Knowing how much sureness there is in a PC-based clinical finding is crucial for getting clinicians’ confidence in the advancement and, in this way, further developing treatment. The COVID-19 pandemic has had作者: 谷物 時(shí)間: 2025-3-26 21:42
https://doi.org/10.1007/978-88-470-0663-8inistrations are of extraordinary interest to specialist organizations, gadget designers, and clients. This paper recognizes computer vision from traditional informal community and gives an exhaustive review of computer vision with respect of their utilization, benefits, arrangement, and plan of the作者: 運(yùn)動(dòng)吧 時(shí)間: 2025-3-27 04:35
https://doi.org/10.1007/978-88-470-0663-8lood flow and other nutrients are disrupted. Stroke is the leading cause of bereavement and disability universally, according to the World Health Organization. To predict a patient’s risk of having stroke, this project used machine learning (ML) approach on a stroke dataset obtained from Kaggle, the作者: 組成 時(shí)間: 2025-3-27 07:39
Saggi biologici (farmacologici)onts to astound the unseen situation. Medical imaging modalities like computed tomography and X-ray play a critical role to combat COVID-19, whereas the intrusion of AI techniques strengthen further the diagnostic process and help medical experts. However, several obstacles inhibit greater implement作者: Aviary 時(shí)間: 2025-3-27 12:00
https://doi.org/10.1007/978-88-470-0663-8nt Decision Support Systems and Recommendation Systems. The intelligence of these systems is backed by Machine Learning Techniques. Advancement in Machine Learning (ML) Techniques has led to the innovations in healthcare systems. Automatic intelligent systems are developed on the basis of multiple c作者: Scintigraphy 時(shí)間: 2025-3-27 14:46
https://doi.org/10.1007/978-90-313-8126-5cular diseases (CVDs). Recent advances in deep learning have led to the development of efficient classification algorithms with enhanced classification rates and accuracy compared to traditional methods. In this book chapter, we have attempted to analyze PCG signals by using time–frequency represent作者: 確定無(wú)疑 時(shí)間: 2025-3-27 19:07
Book 2023ruses in translational research and human healthcare...Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and bi作者: 加花粗鄙人 時(shí)間: 2025-3-27 23:48
2662-981X plications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and bi978-981-99-0371-9978-981-99-0369-6Series ISSN 2662-981X Series E-ISSN 2662-9828 作者: 為敵 時(shí)間: 2025-3-28 05:38 作者: GILD 時(shí)間: 2025-3-28 08:18 作者: 一回合 時(shí)間: 2025-3-28 12:06 作者: blight 時(shí)間: 2025-3-28 14:44 作者: adulterant 時(shí)間: 2025-3-28 19:41
,Computer Vision: A Detailed Review on?Augmented Reality (AR), Virtual Reality (VR), Telehealth, ands of computer vision, we present eventual fate of computer vision as CV will be profoundly significant for self-driving vehicle or in facial acknowledgment. Then at that point, we talk about how augmented reality and practically reality work with computer vision as well as CV perceives things and il作者: 淘氣 時(shí)間: 2025-3-28 23:14
A Concise Review on Developmental and Evaluation Methods of Artificial Intelligence on COVID-19 Detd rapid diagnosis of the lung disorders with COVID-19 on primary focus. Several information relevant to detection of outbreak, tracing contact, forecasting models, prognostication as well as drug and vaccination development are incorporated. Finally, the paper discussed the major challenges and limi作者: strain 時(shí)間: 2025-3-29 03:53 作者: freight 時(shí)間: 2025-3-29 11:01 作者: 熔巖 時(shí)間: 2025-3-29 12:29
