74 hasil untuk "Sultan"
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A new mobile application of agricultural pests recognition using deep learning in cloud computing system
Agricultural pests cause between 20 and 40 percent loss of global crop production every year as reported by the Food and Agriculture Organization (FAO). Therefore, smart agriculture presents the best option for farmers to apply artificial intelligence techniques integrated with modern information…
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COVID-19 vaccines: comparison of biological, pharmacological characteristics and adverse effects of Pfizer/BioNTech and Moderna Vaccines.
OBJECTIVE: The "Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)" disease has caused a worldwide challenging and threatening pandemic (COVID-19), with huge health and economic losses. The US Food and Drug Administration, (FDA) has granted emergency use authorization for treatment with…
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Anomaly-Based Intrusion Detection From Network Flow Features Using Variational Autoencoder
The rapid increase in network traffic has recently led to the importance of flow-based intrusion detection systems processing a small amount of traffic data. Furthermore, anomaly-based methods, which can identify unknown attacks are also integrated into these systems. In this study, the focus is…
Dari koleksi institusi
- Dasar-Dasar Pengamanan HutanSudirman Sultan · 2017 · UNILAK
- Pembangunan kawasan timur Indonesia (dalam konteks kekinian Indonesia)Djunaidi Dachlan; Sultan Suhab · 2014 · Universitas Riau (UNRI)
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MANAGING THE COVID-19 INFODEMIC: PROMOTING HEALTHY BEHAVIOURS AND MITIGATING THE HARM FROM MISINFORMATION AND DISINFORMATION
Joint statement by WHO, UN, UNICEF, UNDP, UNESCO, UNAIDS, ITU, UN Global Pulse, and IFRC 23 September 2020 Statement - The Coronavirus disease (COVID-19) is the first pandemic in history in which technology and social media are being used on a massive scale to keep people safe, informed,
Juga tersedia di: OpenAlex
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Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective
Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) and big data analytics have been applied within the…
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Circular Digital Built Environment: An Emerging Framework
Digital technologies are considered to be an essential enabler of the circular economy in various industries. However, to date, very few studies have investigated which digital technologies could enable the circular economy in the built environment. This study specifically focuses on the built…
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Medication errors in a health care facility in southern Saudi Arabia
Purpose: To identify medication errors at Aseer Central Hospital (ACH, Abha) in the southern province of Saudi Arabia. Methods: A cross-sectional retrospective study was conducted by reviewing adult patients’ records (> 15 years old) at ACH’s inpatient and outpatients settings over an 8-week period…
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A Review of the Progress and Challenges of Developing a Vaccine for COVID-19
A novel coronavirus, which has been designated as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first detected in December 2019 in Wuhan China and causes the highly infectious disease referred to as COVID-19. COVID-19 has now spread worldwide to become a global pandemic…
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Phytochemical Screening and Antimicrobial Activity Evaluation of Selected Medicinal Plants in Ethiopia
Background: The emergence and spread of resistant microbes continue to be a major public health concern. Effective treatment alternatives, particularly from traditionally used medicinal plants, are needed. Objective: The main objective of this study was to conduct phytochemical screening and…
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State-of-art review of traffic signal control methods: challenges and opportunities
Abstract Introduction Due to the menacing increase in the number of vehicles on a daily basis, abating road congestion is becoming a key challenge these years. To cope-up with the prevailing traffic scenarios and to meet the ever-increasing demand for traffic, the urban transportation system needs…
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Agriculture-Food Supply Chain Management Based on Blockchain and IoT: A Narrative on Enterprise Blockchain Interoperability
Modern-day agriculture supply chains have evolved from sovereign and autonomous local stakeholders to a worldwide interconnected system of multiple participants linked by complicated interactions, impacting the production, processing, transportation, and delivery of food to end consumers. Regular…
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Current Update on Intrinsic and Acquired Colistin Resistance Mechanisms in Bacteria
Colistin regained global interest as a consequence of the rising prevalence of multidrug-resistant Gram-negative Enterobacteriaceae . In parallel, colistin-resistant bacteria emerged in response to the unregulated use of this antibiotic. However, some Gram-negative species are intrinsically…
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A Case Report of COVID-19 in Yemen: Detailed Clinical Observations
Coronavirus (COVID-19) is an infectious disease caused by a newly discovered coronavirus. We reported a 59-year-old Yemeni physician who was treated at home with complaints of COVID-19 symptoms. After receiving the treatment according to the COVID-19 guidelines established in Yemen, the patient…
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Exploring the effect of digital transformation on Firms’ innovation performance
The influence of digital industry and firm digitization on enterprise innovation has emerged as a critical research topic. To assess the impact of digital transformation on enhancing innovation output, we propose a game model of two organisations investing in digital transformation, analyze the…
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Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases
Cardiovascular diseases present a significant global health challenge that emphasizes the critical need for developing accurate and more effective detection methods. Several studies have contributed valuable insights in this field, but it is still necessary to advance the predictive models and…
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Polymeric Lipid Hybrid Nanoparticles (PLNs) as Emerging Drug Delivery Platform—A Comprehensive Review of Their Properties, Preparation Methods, and Therapeutic Applications
Polymeric lipid hybrid nanoparticles (PLNs) are core-shell nanoparticles made up of a polymeric kernel and lipid/lipid-PEG shells that have the physical stability and biocompatibility of both polymeric nanoparticles and liposomes. PLNs have emerged as a highly potent and promising nanocarrier for a…
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A survey of data partitioning and sampling methods to support big data analysis
Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two fundamental strategies to speed up the computation of big data and increase scalability. In this paper, we…
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Omicron SARS-CoV-2 new variant: global prevalence and biological and clinical characteristics.
OBJECTIVE: The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has created a challenging and threatening situation worldwide. The SARS-CoV-2 embodies diverse epidemiological trends, alongside emerging and reemerging pathogenic characteristics, which have raised great public health…