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標(biāo)題: Titlebook: Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis; Subhendu Kumar Pani,Sujata Dash,Fran [打印本頁(yè)]

作者: 是英寸    時(shí)間: 2025-3-21 19:05
書(shū)目名稱(chēng)Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis影響因子(影響力)




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書(shū)目名稱(chēng)Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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作者: Bridle    時(shí)間: 2025-3-21 22:49
Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis978-3-030-79753-9
作者: Confirm    時(shí)間: 2025-3-22 03:05

作者: alliance    時(shí)間: 2025-3-22 08:10

作者: 討好女人    時(shí)間: 2025-3-22 11:14

作者: FLORA    時(shí)間: 2025-3-22 16:49

作者: Limited    時(shí)間: 2025-3-22 19:24

作者: Fantasy    時(shí)間: 2025-3-22 23:11

作者: creatine-kinase    時(shí)間: 2025-3-23 02:35
IoT in Combating COVID-19 Pandemics: Lessons for Developing Countries,he society and economy of any country. In this regard, this paper highlights the role that digital technologies such as Internet of Things (IoT) play in mitigating the effect of the outbreak when combined with technologies such as artificial itelligence (AI) and Cloud which offer a wider application
作者: 的闡明    時(shí)間: 2025-3-23 06:27

作者: 虛弱    時(shí)間: 2025-3-23 13:28
Smart Sensing for COVID-19 Pandemic,process, surveillance, and health system. The role of artificial intelligence in technology framework and stratagems were highlighted in terms of rendering of medical assistance, forecasting infection threats, and investigating diagnosis outcomes. Furthermore, detailed information was provided on th
作者: Ballerina    時(shí)間: 2025-3-23 14:27
eHealth, mHealth, and Telemedicine for COVID-19 Pandemic, the role of relevant stakeholders, policy makers, and healthcare providers in obtaining relevant appreciated awareness in the regional dissemination of infection load and healthcare consumption that could enhanced the management of COVID-19 are discussed.
作者: vibrant    時(shí)間: 2025-3-23 20:27

作者: needle    時(shí)間: 2025-3-23 23:57
Bioinformatics in Diagnosis of COVID-19,o giving an impetus to therapeutics action plans due to identification of COVID-19 biomarkers. This has also paved the path for bioinformatics strategies for drug repurposing to combat this dreadful infection..This chapter focuses on the various bioinformatics and computational tools developed and u
作者: 菊花    時(shí)間: 2025-3-24 03:14

作者: 危機(jī)    時(shí)間: 2025-3-24 08:44

作者: 偽善    時(shí)間: 2025-3-24 13:07

作者: Oafishness    時(shí)間: 2025-3-24 16:46
Intelligent Systems for Dengue, Chikungunya, and Zika Temporal and Spatio-Temporal Forecasting: A Cs in basic sanitation also contribute to the vector’s proliferation in tropical and subtropical countries. Brazil, which is a tropical country, is very affected by arboviruses, such as dengue, malaria, and yellow fever. With climate change and the increase in the number and frequency of internationa
作者: certain    時(shí)間: 2025-3-24 21:29
Machine Learning Approaches for Temporal and Spatio-Temporal Covid-19 Forecasting: A Brief Review ato lead the decision-making during the pandemic. Several initiatives have made use of Artificial Intelligence, and models were designed using machine learning algorithms with features for temporal and spatio-temporal investigation and prediction of cases of Covid-19. Among the algorithms used are Su
作者: 制度    時(shí)間: 2025-3-25 00:08

作者: MORT    時(shí)間: 2025-3-25 03:52

作者: Influx    時(shí)間: 2025-3-25 08:23
https://doi.org/10.1007/978-1-4842-4982-6With this backdrop, we have summarised in this chapter the state-of-the-art applications of AI and big data analytics in combating the COVID-19 crisis up to now. The construction of a vast cyber-infrastructure has also been recommended to stimulate global collaborations for research on AI and big da
作者: Uncultured    時(shí)間: 2025-3-25 12:30

作者: 提名的名單    時(shí)間: 2025-3-25 17:19
https://doi.org/10.1007/978-1-4842-4982-6. Every day, many researchers are putting efforts and publishing articles in the journals regarding this. Hence, it is difficult to track every article. This makes somewhat difficult for upcoming researchers who want to give their contribution and understanding the start point. Aiming to provide kno
作者: Etching    時(shí)間: 2025-3-25 22:51
https://doi.org/10.1007/978-1-4842-4982-6mined more easily. These techniques enable data derived from numerous sources to be integrated for adequate identification of patient health status and prediction of possible anticipatory actions. The recent global problem of pandemic triggered by the novel severe respiratory syndrome coronavirus ha
作者: 半導(dǎo)體    時(shí)間: 2025-3-26 00:18

作者: LAST    時(shí)間: 2025-3-26 04:27

作者: Buttress    時(shí)間: 2025-3-26 11:03
https://doi.org/10.1007/978-1-4842-4982-6respiratory-related diseases were highlighted. Detailed information was also provided on techniques, models, theories, intelligent solutions/systems as well as provides cognitive systems in Next Generation Networks (NGN) that needs be planned, established, and assessed while replacing and handling c
作者: 污點(diǎn)    時(shí)間: 2025-3-26 15:48
https://doi.org/10.1007/978-1-4842-4982-6process, surveillance, and health system. The role of artificial intelligence in technology framework and stratagems were highlighted in terms of rendering of medical assistance, forecasting infection threats, and investigating diagnosis outcomes. Furthermore, detailed information was provided on th
作者: GRATE    時(shí)間: 2025-3-26 20:24

作者: 馬具    時(shí)間: 2025-3-26 22:15

作者: 橡子    時(shí)間: 2025-3-27 03:23
https://doi.org/10.1007/978-1-4842-4982-6o giving an impetus to therapeutics action plans due to identification of COVID-19 biomarkers. This has also paved the path for bioinformatics strategies for drug repurposing to combat this dreadful infection..This chapter focuses on the various bioinformatics and computational tools developed and u
作者: Urologist    時(shí)間: 2025-3-27 05:31

作者: 橡子    時(shí)間: 2025-3-27 12:30

作者: SHOCK    時(shí)間: 2025-3-27 16:06
Fluvial geomorphology of north-east England,alled HECERA). Second, the study helps in distinguishing key factors of blockchain-backed data and centralized data. Third, the COVID-19 data provided by Mipasa is analyzed and knowledge tree of COVID-19 cases is generated to visualize the COVID-19 situation of most affected places in the world, the
作者: 骨    時(shí)間: 2025-3-27 18:56

作者: 一個(gè)攪動(dòng)不安    時(shí)間: 2025-3-28 01:42
https://doi.org/10.1007/978-94-011-5816-9to lead the decision-making during the pandemic. Several initiatives have made use of Artificial Intelligence, and models were designed using machine learning algorithms with features for temporal and spatio-temporal investigation and prediction of cases of Covid-19. Among the algorithms used are Su
作者: 混雜人    時(shí)間: 2025-3-28 03:36

作者: 輕浮女    時(shí)間: 2025-3-28 08:22

作者: Foolproof    時(shí)間: 2025-3-28 14:09
http://image.papertrans.cn/b/image/163227.jpg
作者: 危機(jī)    時(shí)間: 2025-3-28 14:58

作者: 無(wú)可爭(zhēng)辯    時(shí)間: 2025-3-28 20:19

作者: 掃興    時(shí)間: 2025-3-29 00:41
https://doi.org/10.1007/978-1-4842-4982-6.95 million deaths worldwide by the middle of April 2021. Throughout the world, numerous scientists, clinicians, and policymakers are constantly looking for new ways to track and manage the recent global emergency. Since the knowledge regarding genome sequence, chemistry, the protein structure of Se
作者: 脊椎動(dòng)物    時(shí)間: 2025-3-29 04:13
https://doi.org/10.1007/978-1-4842-4982-6 public transport. The COVID-19 pandemic is a worldwide pandemic because of which it became risky to allow public transportation without the proper mechanism to maintain social distancing. So to resolve this problem we came up with an idea of making an intelligent application to schedule the timings
作者: 灰心喪氣    時(shí)間: 2025-3-29 07:13

作者: 兒童    時(shí)間: 2025-3-29 12:10

作者: refine    時(shí)間: 2025-3-29 15:55

作者: 任命    時(shí)間: 2025-3-29 23:31

作者: critique    時(shí)間: 2025-3-30 02:04
https://doi.org/10.1007/978-1-4842-4982-6ring and still coming to terms with the impact of coronavirus (COVID-19) that claimed hundreds of thousands of life in a short span of time compared to any natural or man-made catastrophe in the last century. While the search for potential cure continues, digital systems have now been heavily embrac
作者: flimsy    時(shí)間: 2025-3-30 04:20

作者: 障礙    時(shí)間: 2025-3-30 10:28

作者: foppish    時(shí)間: 2025-3-30 14:17

作者: GNAT    時(shí)間: 2025-3-30 19:20

作者: 怎樣才咆哮    時(shí)間: 2025-3-30 22:30
https://doi.org/10.1007/978-1-4842-4982-6D-19) pandemic. These has also improved the understanding of virology of other infectious viral particles such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus..The undying efforts of the scientific community of various streams including the medicine, biology, public health,
作者: facetious    時(shí)間: 2025-3-31 01:38

作者: 平項(xiàng)山    時(shí)間: 2025-3-31 08:21
Allogenic Sedimentary Controls,sease is already declared as pandemic by WHO as it is highly transmittable and pathogenic virus which can cause severe infection to our respiratory system. Although a few vaccines are available in the market (very limited countries), its access is still limited to selected people such as healthcare
作者: Ibd810    時(shí)間: 2025-3-31 10:09
Large Rivers and Their Depositional Systems,Acute Respiratory Syndrome (SARS) the virus was named SARS-CoV-2. The new coronavirus is responsible for 2019 coronavirus disease (Covid-19). Until August 20, the world has counted more than 22.5 million Covid-19 positive cases, about 14.4 million recovered cases, and more than 790 thousand deaths.
作者: Heresy    時(shí)間: 2025-3-31 15:01
Fluvial geomorphology of north-east England,t of data is being collected from different parts of the world by WHO and also by governments around the world. The data is being analyzed by researchers around the world, with the help of advanced machine learning models for identifying outbreaks. This process of collection of massive datasets resu
作者: 物質(zhì)    時(shí)間: 2025-3-31 17:46

作者: Ascendancy    時(shí)間: 2025-3-31 21:49

作者: BAIT    時(shí)間: 2025-4-1 02:58

作者: prosperity    時(shí)間: 2025-4-1 06:22

作者: 花束    時(shí)間: 2025-4-1 11:21
COVID-19 TravelCover: Post-Lockdown Smart Transportation Management System, public transport. The COVID-19 pandemic is a worldwide pandemic because of which it became risky to allow public transportation without the proper mechanism to maintain social distancing. So to resolve this problem we came up with an idea of making an intelligent application to schedule the timings
作者: 泥沼    時(shí)間: 2025-4-1 17:45

作者: MEEK    時(shí)間: 2025-4-1 20:02
A Review on Detection of COVID-19 Patients Using Deep Learning Techniques,plications because it reduces the burden of the medical professionals in this kind of pandemic situation and helps to control it in remote areas where medical facilities are least available. Several successful researches have been conducted for detection of breast cancer, lung cancer, diabetics, pne




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