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A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
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Abstract<p>Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data to train DL frameworks. Usually, manual labeling is needed to provide labeled data, which typically involves human annotators with a vast background of knowledge. This annotation process is costly, time-consuming, and error-prone. Usually, every DL framework is fed by a significant amount of labeled data to automatically learn representations. Ultimately, a larger amount of data would generate a better DL model and its performance is also application dependent. This issue is the main barrier for many applications dismissing the use of DL. Having sufficient data is the first step toward any successful and trustworthy DL application. This paper presents a holistic survey on state-of-the-art techniques to deal with training DL models to overcome three challenges including small, imbalanced datasets, and lack of generalization. This survey starts by listing the learning techniques. Next, the types of DL architectures are introduced. After that, state-of-the-art solutions to address the issue of lack of training data are listed, such as Transfer Learning (TL), Self-Supervised Learning (SSL), Generative Adversarial Networks (GANs), Model Architecture (MA), Physics-Informed Neural Network (PINN), and Deep Synthetic Minority Oversampling Technique (DeepSMOTE). Then, these solutions were followed by some related tips about data acquisition needed prior to training purposes, as well as recommendations for ensuring the trustworthiness of the training dataset. The survey ends with a list of applications that suffer from data scarcity, several alternatives are proposed in order to generate more data in each application including Electromagnetic Imaging (EMI), Civil Structural Health Monitoring, Medical imaging, Meteorology, Wireless Communications, Fluid Mechanics, Microelectromechanical system, and Cybersecurity. To the best of the authors’ knowledge, this is the first review that offers a comprehensive overview on strategies to tackle data scarcity in DL.</p>
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Publication Date
Sat Mar 30 2013
Journal Name
Mathematical Problems In Engineering
CFD analysis of Heat transfer and friction factor characteristics in a circular tube fitted with Quadrant-cut twisted tape inserts
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Publication Date
Mon Dec 07 2020
Journal Name
Iranian Journal Of Parasitology
Serum levels of il-12 and il-23 in breast cancer patients infected with toxoplasma gondii: A case-control study
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Publication Date
Fri Jul 01 2022
Journal Name
Rawal Medical Journal
Macular thickness correlation with gender and age in a sample of healthy eyes of Iraqi population utilizing optical coherence tomography
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Publication Date
Sun Jan 01 2017
Journal Name
Iraqi Journal Of Medical Sciences
ISOLATION, IDENTIFICATION AND DETERMINATION OF ANTIFUNGAL SENSITIVITY OF FUNGI ISOLATED FROM A SAMPLE OF PATIENTS WITH RHINOSINUSITIS IN BAGHDAD CITY
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Publication Date
Wed Aug 31 2022
Journal Name
F1000research
Inflammatory markers in patients who presented with acute coronary syndrome and history of COVID-19 infection: a cross-sectional study
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Background: During the COVID-19 outbreak, the number of patients who have developed acute coronary syndromes (ACS) has soared rapidly, cardiovascular disease and mortality are influenced by the elevated inflammatory biomarkers. The aim of this study is to compare inflammatory markers between patients with ACS who hadn’t previously had COVID-19 and those who’d be infected within the preceding three months; as well as, evaluating the effect of statins on inflammatory biomarkers.

Methods: This is a comparative cross-sectional study of 42 patients who presented with ACS and had previously had COVID-19 and 48 patient who had never had CO

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Publication Date
Mon Jan 01 2024
Journal Name
Oncology And Radiotherapy
Comparting study of cytokeratin 18 fragment M65 with CA19-9 and CEA as a biomarker in Iraqi colon cancer patients
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Publication Date
Thu Feb 19 2026
Journal Name
Journal Of Baghdad College Of Dentistry
Evaluation of treatment of intra-bony defects with a mixture of ?-tricalcium phosphate - hydroxyapatite granules and oily calcium hydroxide suspension
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Background: An oily calcium hydroxide formulation proved over the last years to be highly efficient in promoting bone regeneration in closed defects as periapical lesions, cysts, or post-extraction defects. The aim of the present study is the assessment of the outcome of treatment of deep intrabony periodontal defects with an Open Flap Debridement) (OFD) + combination of {(30% Hydroxyapatite HAp + 70% ?-Tricalcium Phosphate granules mixed with an Oily Calcium Hydroxide Suspension (OCHS )} and compare the results with {(OFD) alone)}. The combination of OCHS& TCP was used in humans with a sort of positive results, and more conduction of studies was recommended. Material and method: The sample of this study composed of sixteen patients;

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Publication Date
Mon Jun 01 2020
Journal Name
Iraqi Journal Of Physics
Theoretical Model for Spectroscopic Study of Cu+2, Co+2, and Fe+3 Dissolved in Ethanol with A Different Concentrations
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The absorption spectrum for three types of metal ions in different concentrations has been studying experimentally and theoretically. The examination model is by Gaius model in order to find the best fitting curve and the equation controlled with this behavior. The three metal ions are (Copper chloride Cu+2, Iron chloride Fe+3, and Cobalt chloride Co+2) with different concentrations (10-4, 10-5, 10-6, 10-7) gm/m3. The spectroscopic study included UV-visible and fluorescence spectrum for all different concentrations sample. The results refer to several peaks that appear from the absorption spectrum in the high concentration of all metal ions solution.

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Publication Date
Thu May 02 2013
Journal Name
Al-mustansiriyah
Synthesis, Spectroscopic and Biological Studies of a New some Complexes with N-Pyridine-2-Y1 methyl-benzene-1, 2-diamine.
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Publication Date
Fri Mar 01 2019
Journal Name
Archives Of Plastic Surgery
Surgical outcomes of 14 consecutive bilateral cleft lip patients treated with a modified version of the Millard and Manchester methods
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Background Bilateral cleft lip deformity is much more difficult to correct than unilateral cleft lip deformity. The complexity of the deformity and the sensitive relationships between the arrangement of the muscles and the characteristics of the external lip necessitate a comprehensive preoperative plan for management. The purpose of this study was to evaluate the repair of bilateral cleft lip using the Byrd modification of the traditional Millard and Manchester methods. A key component of this repair technique is focused on reconstruction of the central tubercle.

Methods Fourteen patients with mean age of 5.7 months presented with bilateral cleft lip deformity and were operated on using a mod

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