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19 results for “Cure Model”
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Research ArticleOpen accessPhrase in the titleAn Extended Semi-Parametric Accelerated Failure Time Cure Model for Partial Cure Information KnownYu Wu, Yong Lin, Shou-En Lu et al.Cure model is a useful model for analyzing failure time data when there is evidence of long-term survivors. In traditional cure models, it is assumed that the cured or uncured status in the censored set cannot be distinguished. However, in many occasions, data of some diagnostic procedures, with some sensitivity and specificity, may have provided partial information about the cured … …Current Research in Biostatistics, Vol. 8, Issue 1 · 11 Dec 2018 · 7,618 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOVID-19 in the Era of Artificial Intelligence: Existing Technologies and A Strategic Model for Mitigating Future PandemicsBandar Mzel AlshammariPandemics have existed since the existence of life and will continue as life continues. Throughout many of the previous pandemics, what played a major role in decreasing their severity is how we mitigated and controlled them. The main reason for this is the time it takes for treatments and vaccinations to be developed, which usually takes a long time. Therefore, … …Journal of Computer Science, Vol. 20, Issue 5 · 20 Feb 2024 · 5,368 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlock Optimization Algorithm-Based Deep Learning Model for Diabetic Disease Detection ImprovementDivager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha et al.Worldwide, 422 million people suffer from diabetic disease, and 1.5 million die yearly. Diabetes is a threat to people who still fail to cure or maintain it, so it is challenging to predict this disease accurately. The existing systems face data over-fitting issues, convergence problems, non-converging optimization complex predictions, and latent and predominant feature extraction. These issues affect the system's … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,208 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Intrusion Detection System to Alleviate Attacks on DNS ServiceHani Mahmoud Al-Mimi, Nesreen Adnan Hamad, Mosleh Mohammad Abualhaj et al.Cybercriminals continuously devise new and more sophisticated ways to attack their targets’ security and cyberattacks are on the rise. One of the earliest and most vulnerable network services is the Domain Name System (DNS), which has had several security issues that have been repeatedly exploited over time. Building a strong Intrusion Detection System (IDS) that guards against unwanted access to … …Journal of Computer Science, Vol. 19, Issue 12 · 9 Nov 2023 · 5,786 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of the Presence of the "Swollen Shoot" Disease in Endemic Areas in Côte d'Ivoire Via Convolutional Neural NetworksCoulibaly Mamadou, Silue Kolo, Konan Hyacinthe Kouassi et al.The detection of Swollen Shoot disease and its control is one of the major objectives of research related to sustainable cocoa farming in Côte d'Ivoire. To contain the epidemic, the Cocoa Coffee Council (CCC) in collaboration with the National Agency for Support to Rural Development (ANADER) is responsible for prospecting and delimiting the infected areas as well as for uprooting … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 3 · 1 Oct 2023 · 6,064 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Classification Model using CNN for Detection of Alzheimer’s DiseaseRagavamsi Davuluri, Ragupathy RengaswamyAlzheimer’s Disease (AD) is commonly called a neurodegenerative disorder and it is a common form of dementia. There is no permanent cure for this brain disease hence the early diagnosis of such disease using medical imaging system is highly significant. Machine learning models play a vital role in the detection of AD. Since most of the conventional machine learning models … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 6,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CURE Algorithm for Vietnamese Sentiment Classification in a Parallel EnvironmentVo Ngoc Phu, Vo Thi Ngoc Tran, Jack MaxSolutions to process big data are imperative and beneficial for numerous fields of research and commercial applications. Thus, a new model has been proposed in this paper to be used for big data set sentiment classification in the Cloudera parallel network environment. Clustering Using Representatives (CURE), combined with Hadoop MAP (M) / REDUCE (R) in Cloudera – a parallel network … …Journal of Computer Science, Vol. 15, Issue 10 · 19 Apr 2018 · 7,437 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart-Factory: Optimization and Process Control of Composite Centrifuged PipesRaffaella Aversa, Relly Victoria V. Petrescu, Florian Ion T. Petrescu, Antonio ApicellaProcess optimization strategies and intelligent control algorithms for an industrial centrifugal pipe production are presented. The chemo-rheological and thermo-kinetic features of the polymerization of unsaturated polyester based composites are analyzed by means of a mathematical model that uses the heat transfer and generation properties of polymerizable systems. The evolution of the system temperature, viscosity and degree of cure profiles in … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 29 Nov 2016 · 8,906 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Potential of VipAlbumin® to Chronic Inflammation in Type 2 Diabetes Mellitus Balb/C Mice ModelDinia Rizqi Dwijayanti, M. Sasmito Djati, Mansur Ibrahim, Muhaimin Rifa’iDiabetes Mellitus (DM) is one of diseases which have increasing number of sufferers every year. Almost all DM patients are type 2 DM. One of the causes of type 2 DM is a chronic inflammation due to an increase of circulating proinflammatory cytokines such as TNF-α, IFN-γ and IL-6. VipAlbumin® from snakehead fish extract is expected to be useful as … …American Journal of Immunology, Vol. 11, Issue 2 · 13 Jul 2015 · 7,612 accessesView PDFCite