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2021

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Cover And Contents Jan 2021

Cover And Contents

Turkish Journal of Biology

No abstract provided.

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Prediction Of Host-Pathogen Protein Interactions By Extended Network Model, İrfan Kösesoy, Murat Gök, Tamer Kahveci̇ Jan 2021

Prediction Of Host-Pathogen Protein Interactions By Extended Network Model, İrfan Kösesoy, Murat Gök, Tamer Kahveci̇

Turkish Journal of Biology

Knowledge of the pathogen-host interactions between the species is essentialin order to develop a solution strategy against infectious diseases. In vitro methods take extended periods of time to detect interactions and provide very few of the possible interaction pairs. Hence, modelling interactions between proteins has necessitated the development of computational methods. The main scope of this paper is integrating the known protein interactions between thehost and pathogen organisms to improve the prediction success rate of unknown pathogen-host interactions. Thus, the truepositive rate of the predictions was expected to increase.In order to perform this study extensively, encoding methods and learning algorithms …

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Transcriptome Profiles Associated With Selenium-Deficiency-Dependent Oxidative Stress Identify Potential Diagnostic And Therapeutic Targets In Liver Cancer Cells, Damla Gözen, Deni̇z Cansen Kahraman, Kübra Narci, Huma Shehwana, Özlen Konu, Rengül Çeti̇n Atalay Jan 2021

Transcriptome Profiles Associated With Selenium-Deficiency-Dependent Oxidative Stress Identify Potential Diagnostic And Therapeutic Targets In Liver Cancer Cells, Damla Gözen, Deni̇z Cansen Kahraman, Kübra Narci, Huma Shehwana, Özlen Konu, Rengül Çeti̇n Atalay

Turkish Journal of Biology

Hepatocellular carcinoma (HCC) is one of the most common cancer types with high mortality rates and displays increased resistance to various stress conditions such as oxidative stress. Conventional therapies have low efficacies due to resistance and off-target effects in HCC. Here we aimed to analyze oxidative stress-related gene expression profiles of HCC cells and identify genes that could be crucial for novel diagnostic and therapeutic strategies. To identify important genes that cause resistance to reactive oxygen species (ROS), a model of oxidative stress upon selenium (Se) deficiency was utilized. The results of transcriptome-wide gene expression data were analyzed in which …

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Arid4b Physically Interacts With Tfap2c In Mouse Embryonic Stem Cells, Ezgi̇ Gül Keski̇n, Jialiang Huang, Ni̇hal Terzi̇ Çi̇zmeci̇oğlu Jan 2021

Arid4b Physically Interacts With Tfap2c In Mouse Embryonic Stem Cells, Ezgi̇ Gül Keski̇n, Jialiang Huang, Ni̇hal Terzi̇ Çi̇zmeci̇oğlu

Turkish Journal of Biology

Precise regulation of gene expression is required for embryonic stem cell (ESC) differentiation. Transcription factor (TF) networks coordinate the balance of pluripotency and differentiation in response to extracellular and intracellular signals. Chromatin factors work alongside TFs to achieve timely regulation of gene expression for differentiation process. Our previous studies showed that a member of the Sin3a corepressor complex, Arid4b, is critical for proper mouse ESC differentiation into mesoderm and endoderm. We found elevated histone 3 lysine 27 acetylation (H3K27Ac) in a subset of genomic loci in meso/endoderm directed arid4b? cells, coincident with their derepression. We reasoned that Sin3a complex may …

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Potential Effects Of Storage Period, Warehouse Locations, And Methyl Jasmonate In Long-Term Stored Garlic Bulbs, Selen Akan, Nurdan Tuna Güneş Jan 2021

Potential Effects Of Storage Period, Warehouse Locations, And Methyl Jasmonate In Long-Term Stored Garlic Bulbs, Selen Akan, Nurdan Tuna Güneş

Turkish Journal of Agriculture and Forestry

In this study, the effect of methyl jasmonate (MeJA) treatments (10-3 and 10-5 M) and two different storage locations such as Ankara and Taşköprü, on some quality parameters, such as weight loss, L* values, soluble solids content, firmness, titratable acidity, total phenolic content, antioxidant capacity, vitamin C and allicin content in garlic bulbs (Allium sativum cv. 'Taşköprü') were investigated during a storage period of six months with three replications (30 bulbs or 120 g cloves). Based on storage periods, storage locations and MeJA treatment effects, the results showed that the storage period significantly affected all parameters except allicin content. MeJA …

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Helicobacter-Stimulated Il-10-Producing B Cells Suppress Differentiation Of Lipopolysaccharide/Helicobacter Felis-Activated Stimulatory Dendritic Cells, Doğuş Altunöz, Ayça Sayi Yazgan Jan 2021

Helicobacter-Stimulated Il-10-Producing B Cells Suppress Differentiation Of Lipopolysaccharide/Helicobacter Felis-Activated Stimulatory Dendritic Cells, Doğuş Altunöz, Ayça Sayi Yazgan

Turkish Journal of Biology

Regulatory B cells (Bregs) produce antiinflammatory cytokines and inhibits proinflammatory response. Recently, immunosuppressive roles of Bregs in the effector functions of dendritic cells (DCs) were demonstrated. However, cross talk between Bregs and DCs in Helicobacter infection remains unknown. Here, we showed that direct stimulation of bone marrow-derived DCs (BMDCs) with Helicobacter felis (H. felis) antigen upregulates their CD86 surface expression and causes the production of interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-α), interleukin-12 (IL-12), and interleukin-10 (IL-10). Furthermore, prestimulation of DCs with supernatants derived from both Helicobacter-stimulated IL-10- B (Hfstim-IL-10- B) or IL-10+ B (Hfstim-IL-10+) cells suppresses the secretion of …

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Gene Expression Profiles Of Hsp Family Members In Different Poplar Taxa Under Cadmium Stress, Esra Nurten Yer Çeli̇k, Mehmet Cengi̇z Baloğlu, Sezgi̇n Ayan Jan 2021

Gene Expression Profiles Of Hsp Family Members In Different Poplar Taxa Under Cadmium Stress, Esra Nurten Yer Çeli̇k, Mehmet Cengi̇z Baloğlu, Sezgi̇n Ayan

Turkish Journal of Agriculture and Forestry

Heat shock proteins (Hsps), also known as stress proteins, are expressed by living organisms. Hsp genes play key roles in the regulation of change in response to various abiotic stresses (e.g., salinity, drought, heavy metal, and extreme temperatures). In our previous studies, all Hsp family gene members were determined and named using bioinformatics approaches. We also examined their expression profiles under different stress conditions. In this study, the aim was to indicate the expression pattern of Hsp family genes under cadmium (Cd) stress in different poplar taxa which are resistant to various stresses. Firstly, transcriptome data including RNA-seq and microarray …

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Investigation Of Some Enthomopathogens As Biocontrol Agents Of Tinocallis (Sappocallis) Saltans (Nevsky, 1929) (Hemiptera: Aphididae), Eli̇f Tozlu, Göksel Tozlu, Recep Kotan, Önder Çalmaşur, Fati̇h Dadaşoğlu Jan 2021

Investigation Of Some Enthomopathogens As Biocontrol Agents Of Tinocallis (Sappocallis) Saltans (Nevsky, 1929) (Hemiptera: Aphididae), Eli̇f Tozlu, Göksel Tozlu, Recep Kotan, Önder Çalmaşur, Fati̇h Dadaşoğlu

Turkish Journal of Agriculture and Forestry

In Turkey, Tinocallis (Sappocallis) saltans (Nevsky) on Ulmus glabra Hudson was detected for the first time, and it was determined that it caused a considerable amount of damage. The study was conducted for the purpose of determining the usability of enthomopathogens in the control against it, while avoiding the negative effects of chemicals on the environment and human health. A total of 12 bacteria strains were tested for control efficacy and verified: Brevibacillus brevis (2), Bacillus thuringiensis (1), Bacillus thuringiensis subsp. kenyae (2), Bacillus thuringiensis subsp. kurstakii (2), Bacillus subtilis (1), Pseudomonas chlororaphis (1), Bacillus sphaericus GC subgroup D (1), …

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Quality Retention Of Minimally Processed Spinach Using Low-Dose Ozonated Water During Storage, Esra Mersi̇nli̇, Mehmet Ali̇ Koyuncu, Derya Erbaş Jan 2021

Quality Retention Of Minimally Processed Spinach Using Low-Dose Ozonated Water During Storage, Esra Mersi̇nli̇, Mehmet Ali̇ Koyuncu, Derya Erbaş

Turkish Journal of Agriculture and Forestry

The use of ozone for the sanitization of fresh-cut produce has been postulated during all steps of the cold chain from harvest to consumption. However, little is known about its effects on the postharvest quality of minimally processed spinach. In the present study, the effects of different doses of ozone on the storage life and quality of minimally processed spinach were determined and compared with sodium hypochlorite. Minimally processed spinach samples were subjected to 4 treatments: immersion in sodium hypochlorite solution (100 ppm) as control, and exposure to 3 different ozonated water (0.5,1 and 2 ppm) for 10 min. Treated …

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Crosstalk Between Autophagy And Dna Repair Systems, Si̇nem Sarikaya, Hati̇ce Çakir, Devri̇m Gözüaçik, Yunus Akkoç Jan 2021

Crosstalk Between Autophagy And Dna Repair Systems, Si̇nem Sarikaya, Hati̇ce Çakir, Devri̇m Gözüaçik, Yunus Akkoç

Turkish Journal of Biology

Autophagy and DNA repair are two essential biological mechanisms that maintain cellular homeostasis. Impairment of these mechanisms was associated with several pathologies such as premature aging, neurodegenerative diseases, and cancer. Intrinsic or extrinsic stress stimuli (e.g., reactive oxygen species or ionizing radiation) cause DNA damage. As a biological stress response, autophagy is activated following insults that threaten DNA integrity. Hence, in collaboration with DNA damage repair and response mechanisms, autophagy contributes to the maintenance of genomic stability and integrity. Yet, connections and interactions between these two systems are not fully understood. In this review article, current status of the associations …

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Identification Of Differentially Expressed Micrornas In Primary Esophageal Achalasia By Next-Generation Sequencing, Mahin Gholipour, Javad Mikaeli, Seyed Javad Mowla, Mohammad Reza Bakhtiarzadeh, Marie Saghaeian Jazi, Naeme Javid, Narges Fazlollahi, Masoud Khoshnia, Naser Behnampour, Abdolvahab Moradi Jan 2021

Identification Of Differentially Expressed Micrornas In Primary Esophageal Achalasia By Next-Generation Sequencing, Mahin Gholipour, Javad Mikaeli, Seyed Javad Mowla, Mohammad Reza Bakhtiarzadeh, Marie Saghaeian Jazi, Naeme Javid, Narges Fazlollahi, Masoud Khoshnia, Naser Behnampour, Abdolvahab Moradi

Turkish Journal of Biology

Molecular knowledge regarding the primary esophageal achalasia is essential for the early diagnosis and treatment of this neurodegenerative motility disorder. Therefore, there is a need to find the main microRNAs (miRNAs) contributing to the mechanisms of achalasia. This study was conducted to determine some patterns of deregulated miRNAs in achalasia. This case-control study was performed on 52 patients with achalasia and 50 nonachalasia controls. The miRNA expression profiling was conducted on the esophageal tissue samples using the next-generation sequencing (NGS). Differential expression of miRNAs was analyzed by the edgeR software. The selected dysregulated miRNAs were additionally confirmed using the quantitative …

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Floristic Diversity Of Threatened Woodlands Of Kazakhstan Formed By Populus Pruinosa Schrenk, Tamara Stikhareva, Anna Ivashchenko, Vitaliy Kirillov, Alimzhan Rakhimzhanov Jan 2021

Floristic Diversity Of Threatened Woodlands Of Kazakhstan Formed By Populus Pruinosa Schrenk, Tamara Stikhareva, Anna Ivashchenko, Vitaliy Kirillov, Alimzhan Rakhimzhanov

Turkish Journal of Agriculture and Forestry

Climate aridization and increased anthropogenic pressure pose a severe threat to natural vegetation, including coastal plant communities. Those located in river basins of the desert zone of Central Asia are among the most vulnerable. Of the variety of ecosystems of the Ili-Balkhash region of Kazakhstan, forests dominated by a rare relict species Populus pruinosa Schrenk are of particular concern. This species occupies a very narrow ecological niche associated with river banks of the arid zone, which makes it very vulnerable to adverse natural and anthropogenic factors. The main objective of the research conducted was to fill the knowledge gap related …

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Co2 Respiration Rates Of Einkorn Wheat At Different Temperature And Moisture Contents, Hakan Ki̇bar Jan 2021

Co2 Respiration Rates Of Einkorn Wheat At Different Temperature And Moisture Contents, Hakan Ki̇bar

Turkish Journal of Agriculture and Forestry

Temperature and grain moisture content are the main factors affecting grain spoilage in storage. These factors have a significant impact on the maintenance of quality, insect, fungus, and pest development. The main objective of this study was to determine the CO2 concentration and respiration rate of hulled einkorn wheat in different temperatures (5, 10, 15, 20, 25, 30, and 35 °C) and grain moisture contents (9.1%, 11.5%, 13.8%, and 15.9%, wet basis) by means of CO2 sensors. Multiple polynomial regression equation was developed to predict respiration as affected by temperature and grain moisture content. The CO2 concentrations and respiration rates …

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Effects Of Position Angles In Twin-Jet Spray Applications On Droplet Penetration Of Hydraulic Nozzles, Bahadir Sayinci, Bünyami̇n Demi̇r, Emel Çeti̇n Jan 2021

Effects Of Position Angles In Twin-Jet Spray Applications On Droplet Penetration Of Hydraulic Nozzles, Bahadir Sayinci, Bünyami̇n Demi̇r, Emel Çeti̇n

Turkish Journal of Agriculture and Forestry

This study was conducted to determine the effects of different position angles in twin-jet spray applications on droplet penetration of different nozzle types. Seven different nozzle types (standard flat fan, ST; narrow flat fan, STN; multirange, LU; low-drift potential, AD; air-induction, IDK; twin-jet air-induction, IDKT) were used and nozzles were positioned +15° along the forward direction, perpendicular to ground surface 0? and reverse direction of forward -15°. Spray experiments at 100 L/ha constant application volume were conducted under controlled conditions of a closed facility. Water sensitive paper (WSP) was used as sampling surface. WSP samples were placed vertically and horizontally …

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Cover And Contents Jan 2021

Cover And Contents

Turkish Journal of Biology

No abstract provided.

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Bioerosional Structures From The Late Pleistocene Coral Reef, Red Sea Coast, Northwest Saudi Arabia, Huri̇ye Demi̇rcan, Abdelbaset El Sorogy, Talal Alharbi Jan 2021

Bioerosional Structures From The Late Pleistocene Coral Reef, Red Sea Coast, Northwest Saudi Arabia, Huri̇ye Demi̇rcan, Abdelbaset El Sorogy, Talal Alharbi

Turkish Journal of Earth Sciences

Herein, 20 ichnospecies belonging to 8 ichnogenera were identified in bivalves, gastropods, and corals (n = 701) from the Late Pleistocene coral reef along the Red Sea coast, northwest Saudi Arabia. The trace fossils were produced by clionid sponges (47.39%), endolithic bivalves (42.17%), polychaete annelids (5.42%), vermetid gastropods (3.81%), and acrothoracican barnacles (1.21%). The recognized ichnotaxa were Entobia geometrica, E. ovula, E. cf. goniodes, E. cf. retiformis, E. cretacea, Entobia isp., Gastrochaenolites torpedo, G. lapidicus, G. cf. dijugus, Gastrochaenolites isp., Oichnus paraboloides, O. simplex, Oichnus isp., Caulostrepsis taeniola, Caulostrepsis isp., Maeandropolydora cf. sulcans, Maeandropolydora isp., Renichnus isp., Centrichnus isp., and …

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Fibroin Nanofibers Production By Electrospinning Method, Derya Saltik Çi̇rki̇n, Meti̇n Yüksek Jan 2021

Fibroin Nanofibers Production By Electrospinning Method, Derya Saltik Çi̇rki̇n, Meti̇n Yüksek

Turkish Journal of Chemistry

Silk fibroin, which has many characteristic properties such as low inflammation reaction, biodegradation, suppleness, good antithrombogenic details, biocompatibility and high tensile strength is a very good candidate for biomedical applications. Electrospinning procures high surface area, porous, nanofiber dimension fiber generation, which is a plain method. An experimental study was carried out to produce nanofiber structure from silk fibroin by electrospinning and the electrospinning parameters for the spinning of uniform, continuous and silk fibroin fibers were optimized. As a result, the effect of variables of concentration, distance and applied voltage on the strength, thickness, surface structure, fiber diameter of nanomaterial was …

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Enhancement Of Dispersion Stability Of Inorganic Additives Via Poly(Sodium-4-Styrenesulfonate) Treatment Geared To Hydrogel Applications, Fi̇li̇z Boran, Merve Okutan Jan 2021

Enhancement Of Dispersion Stability Of Inorganic Additives Via Poly(Sodium-4-Styrenesulfonate) Treatment Geared To Hydrogel Applications, Fi̇li̇z Boran, Merve Okutan

Turkish Journal of Chemistry

This study reports the preparation of poly(sodium-4-styrene sulfonate) (PSS) treated bentonite and clinoptilolite to prevent the agglomeration and sedimentation of these inorganic fillers during the preparation of hydrogel. For this purpose PSS treated fillers were prepared by using various techniques (dip and dry, hydrothermal, one-step ball milling and ultrasonication methods). The most suitable technique for preparing these PSS treated inorganic fillers (abbreviated as BP-dip and CP-dip) was the dip and dry method. BP-dip and CP-dip based polyvinyl alcohol/polyvinylpyrrolidone (PVA/PVP) composite hydrogels were prepared using the freeze/ thawing method after the addition of one of BP-dip and CP-dip inorganic fillers in …

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Cover And Contents Jan 2021

Cover And Contents

Turkish Journal of Chemistry

No abstract provided.

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Clustering Ensemble Selection Based On The Extended Jaccard Measure, Hajar Khalili, Mohsen Rabbani, Ebrahim Akbari Jan 2021

Clustering Ensemble Selection Based On The Extended Jaccard Measure, Hajar Khalili, Mohsen Rabbani, Ebrahim Akbari

Turkish Journal of Electrical Engineering and Computer Sciences

Clustering ensemble selection has shown high efficiency in the improvement of the quality of clustering solutions. This technique comprises two important metrics: diversity and quality. It has been empirically proved that ensembles of higher effectiveness can be achieved through taking into consideration the diversity and quality simultaneously. However, the relationships between these two metrics in base clusterings have remained uncertain. This paper suggests a new hierarchical selection algorithm using a diversity/quality measure based on the Jaccard similarity measure. In the proposed algorithm, the selection of the subsets of the clustering partitions is done based on their diversity measures. The proposed …

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Exploring The Attention Process Differentiation Of Attention Deficit Hyperactivity Disorder (Adhd) Symptomatic Adults Using Artificial Intelligence Onelectroencephalography (Eeg) Signals, Gökhan Güney, Esra Kisacik, Canan Kalaycioğlu, Görkem Saygili Jan 2021

Exploring The Attention Process Differentiation Of Attention Deficit Hyperactivity Disorder (Adhd) Symptomatic Adults Using Artificial Intelligence Onelectroencephalography (Eeg) Signals, Gökhan Güney, Esra Kisacik, Canan Kalaycioğlu, Görkem Saygili

Turkish Journal of Electrical Engineering and Computer Sciences

Attention deficit and hyperactivity disorder (ADHD) onset in childhood and its symptoms can last up till adulthood. Recently, electroencephalography (EEG) has emerged as a tool to investigate the neurophysiological connection of ADHD and the brain. In this study, we investigated the differentiation of attention process of healthy subjects with or without ADHD symptoms under visual continuous performance test (VCPT). In our experiments, artificial neural network (ANN) algorithm achieved 98.4% classification accuracy with 0.98 sensitivity when P2 event related potential (ERP) was used. Additionally, our experimental results showed that fronto-central channels were the most contributing. Overall, we conclude that the attention …

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Evaluation Of Mother Wavelets On Steady-State Visually-Evoked Potentials Fortriple-Command Brain-Computer Interfaces, Ebru Sayilgan, Yilmaz Kemal Yüce, Yalçin İşler Jan 2021

Evaluation Of Mother Wavelets On Steady-State Visually-Evoked Potentials Fortriple-Command Brain-Computer Interfaces, Ebru Sayilgan, Yilmaz Kemal Yüce, Yalçin İşler

Turkish Journal of Electrical Engineering and Computer Sciences

Wavelet transform (WT) is an important tool to analyze the time-frequency structure of a signal. The WT relies on a prototype signal that is called the mother wavelet. However, there is no single universal wavelet that fits all signals. Thus, the selection of mother wavelet function might be challenging to represent the signal to achieve the optimum performance. There are some studies to determine the optimal mother wavelet for other biomedical signals; however, there exists no evaluation for steady-state visually-evoked potentials (SSVEP) signals that becomes very popular among signals manipulated for brain-computer interfaces (BCIs) recently. This study aims to explore, …

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Sleep Staging With Deep Structured Neural Net Using Gabor Layer And Dataaugmentation, Ali Erfani Sholeyan, Fereidoun Nowshiravan Rahatabad, Kamal Setaredan Jan 2021

Sleep Staging With Deep Structured Neural Net Using Gabor Layer And Dataaugmentation, Ali Erfani Sholeyan, Fereidoun Nowshiravan Rahatabad, Kamal Setaredan

Turkish Journal of Electrical Engineering and Computer Sciences

Slow wave sleep (SWS) and rapid eye movement (REM) are two of the most important sleep stages that are considered in many studies. Detection of these two sleep stages will help researchers in many applications to detect sleeprelated diseases and disorders and also in many fields of neuroscience studies such as cognitive impairment and memory consolidation. Since manual sleep staging is time-consuming, subjective, and expensive; designing an efficient automatic sleep scoring system will overcome some of these difficulties. Many studies have proposed automatic sleep staging systems with different methods. In recent years, deep learning methods show their potential in different …

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Gene Expression Data Classification Using Genetic Algorithm-Basedfeature Selection, Öznur Si̇nem Sönmez, Mustafa Dağteki̇n, Tolga Ensari̇ Jan 2021

Gene Expression Data Classification Using Genetic Algorithm-Basedfeature Selection, Öznur Si̇nem Sönmez, Mustafa Dağteki̇n, Tolga Ensari̇

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, hybrid methods are proposed for feature selection and classification of gene expression datasets. In the proposed genetic algorithm/support vector machine (GA-SVM) and genetic algorithm/k nearest neighbor (GA-KNN) hybrid methods, genetic algorithm is improved using Pearson's correlation coefficient, Relief-F, or mutual information. Crossover and selection operations of the genetic algorithm are specialized. Eight different gene expression datasets are used for classification process. The classification performances of the proposed methods are compared with the traditional GA-KNN and GA-SVM wrapper methods and other studies in the literature. Classification results demonstrate that higher accuracy rates are obtained with the proposed methods …

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Presentation Attack Detection For Face Recognition Using Remotephotoplethysmography And Cascaded Fusion, Mehmet Fati̇h Gündoğar, Çi̇ğdem Eroğlu Erdem Jan 2021

Presentation Attack Detection For Face Recognition Using Remotephotoplethysmography And Cascaded Fusion, Mehmet Fati̇h Gündoğar, Çi̇ğdem Eroğlu Erdem

Turkish Journal of Electrical Engineering and Computer Sciences

Spoofing (presentation) attacks are important threats for face recognition and authentication systems, which try to deceive them by presenting an image or video of a different subject, or by using a 3D mask. Remote (non-contact) photoplethysmography (rPPG) is useful for liveness detection using a facial video by estimating the heart-rate of the subject. In this paper, we first compare the presentation attack detection performance of three different rPPG-based heart rate estimation methods on four datasets (3DMAD, Replay-Attack, Replay-Mobile, and MSU-MFSD). We also present a cascaded fusion system, which utilizes a multistage ensemble of classifiers using rPPG, motion-based (including head-pose, eye-gaze …

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A Hybrid Convolutional Neural Network Approach For Feature Selection Anddisease Classification, Prajna Paramita Debata, Puspanjali Mohapatra Jan 2021

A Hybrid Convolutional Neural Network Approach For Feature Selection Anddisease Classification, Prajna Paramita Debata, Puspanjali Mohapatra

Turkish Journal of Electrical Engineering and Computer Sciences

: Many researchers have analyzed the high dimensional gene expression data for disease classification using several conventional and machine learning-based approaches, but still there exists some issues which make this task nontrivial. Due to the growing complexities of the unstructured data, the researchers focus on the deep learning approach, which is the latest form of machine learning algorithm. In the presented work, a kernel-based Fisher score (KFS) approach is implemented to extract the notable genes, and an improvised chaotic Jaya (CJaya) algorithm optimized convolutional neural network (CJaya-CNN) model is applied to classify high dimensional gene expression or microarray data. This …

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Malignant Skin Melanoma Detection Using Image Augmentation By Oversamplingin Nonlinear Lower-Dimensional Embedding Manifold, Olusola Oluwakemi Abayomi-Alli, Robertas Damasevicius, Sanjay Misra, Rytis Maskeliunas, Adebayo Abayomi-Alli Jan 2021

Malignant Skin Melanoma Detection Using Image Augmentation By Oversamplingin Nonlinear Lower-Dimensional Embedding Manifold, Olusola Oluwakemi Abayomi-Alli, Robertas Damasevicius, Sanjay Misra, Rytis Maskeliunas, Adebayo Abayomi-Alli

Turkish Journal of Electrical Engineering and Computer Sciences

The continuous rise in skin cancer cases, especially in malignant melanoma, has resulted in a high mortality rate of the affected patients due to late detection. Some challenges affecting the success of skin cancer detection include small datasets or data scarcity problem, noisy data, imbalanced data, inconsistency in image sizes and resolutions, unavailability of data, reliability of labeled data (ground truth), and imbalance of skin cancer datasets. This study presents a novel data augmentation technique based on covariant Synthetic Minority Oversampling Technique (SMOTE) to address the data scarcity and class imbalance problem. We propose an improved data augmentation model for …

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Brain Tumor Detection From Mri Images With Using Proposed Deep Learningmodel: The Partial Correlation-Based Channel Selection, Atinç Yilmaz Jan 2021

Brain Tumor Detection From Mri Images With Using Proposed Deep Learningmodel: The Partial Correlation-Based Channel Selection, Atinç Yilmaz

Turkish Journal of Electrical Engineering and Computer Sciences

A brain tumor is an abnormal growth of a mass or cell in the brain. Early diagnosis of the tumor significantly increases the chances of successful treatment. Artificial intelligence-based systems can detect the tumor in early stages. In this way, it could be possible to detect a tumor and resolve this problem that may endanger human life early. In the study, the partial correlation-based channel selection formula was presented that allowed the selection of the most prominent feature that differs from the other studies in the literature. Additionally, the multi-channel convolution structure was proposed for the feature network phase of …

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A Deep Transfer Learning Based Model For Automatic Detection Of Covid-19from Chest X-Rays, Prateek Chhikara, Prakhar Gupta, Prabhjot Singh, Tarunpreet Bhatia Jan 2021

A Deep Transfer Learning Based Model For Automatic Detection Of Covid-19from Chest X-Rays, Prateek Chhikara, Prakhar Gupta, Prabhjot Singh, Tarunpreet Bhatia

Turkish Journal of Electrical Engineering and Computer Sciences

Deep learning in medical imaging has revolutionized the way we interpret medical data, as high computational devices' capabilities are far more than their creators. With the pandemic causing havoc for the second straight year, the findings in our paper will allow researchers worldwide to use and create state-of-the-art models to detect affected persons before it reaches the R number. The paper proposes an automated diagnostic tool using the deep learning models on chest x-rays as an input to reach a point where we surpass this pandemic (COVID-19 disease). A deep transfer learning-based model for automatic detection of COVID-19 from chest …

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Deep Learning-Based Covid-19 Detection System Using Pulmonary Ct Scans, Rajit Nair, Adi Alhudhaif, Deepika Koundal, Rumi Iqbal Doewes, Preeti Sharma Jan 2021

Deep Learning-Based Covid-19 Detection System Using Pulmonary Ct Scans, Rajit Nair, Adi Alhudhaif, Deepika Koundal, Rumi Iqbal Doewes, Preeti Sharma

Turkish Journal of Electrical Engineering and Computer Sciences

One of the most significant pandemics has been raised in the form of Coronavirus disease 2019 (COVID19). Many researchers have faced various types of challenges for finding the accurate model, which can automatically detect the COVID-19 using computed pulmonary tomography (CT) scans of the chest. This paper has also focused on the same area, and a fully automatic model has been developed, which can predict the COVID-19 using the chest CT scans. The performance of the proposed method has been evaluated by classifying the CT scans of community-acquired pneumonia (CAP) and other non-pneumonia. The proposed deep learning model is based …

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