Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Turkey (102)
- Deep learning (85)
- Machine learning (75)
- Optimization (74)
- Classification (72)
-
- Genetic algorithm (60)
- Particle swarm optimization (53)
- COVID-19 (44)
- Artificial neural network (41)
- Support vector machine (39)
- Feature extraction (33)
- Artificial neural networks (32)
- Cytotoxicity (32)
- Adsorption (31)
- Feature selection (31)
- Wireless sensor networks (31)
- Power quality (28)
- Fuzzy logic (27)
- Oxidative stress (26)
- Breast cancer (25)
- Convolutional neural network (25)
- Distributed generation (25)
- Geochemistry (25)
- Image processing (25)
- SARS-CoV-2 (25)
- Stability (25)
- Antioxidant (24)
- Electrospinning (24)
- Induction motor (24)
- Artificial intelligence (22)
- Publication Year
Articles 781 - 810 of 8705
Full-Text Articles in Entire DC Network
Antiviral And Cytotoxic Activities And Chemical Profiles Of Two Species Of Abies Nordmanniana From Türkiye, Nazli Sarikahya, Gaye Sümer Okkali, Furkan Ozan Çöven, Sevda Zeinali̇, Gülce Gucur, Ayşe Di̇la Çağlar, Ece Uyar, Ahmet Ceyhan Gören, Ayşe Nalbantsoy
Antiviral And Cytotoxic Activities And Chemical Profiles Of Two Species Of Abies Nordmanniana From Türkiye, Nazli Sarikahya, Gaye Sümer Okkali, Furkan Ozan Çöven, Sevda Zeinali̇, Gülce Gucur, Ayşe Di̇la Çağlar, Ece Uyar, Ahmet Ceyhan Gören, Ayşe Nalbantsoy
Turkish Journal of Chemistry
Abies is an important genus of the family Pinaceae, with about 50 species found in the highlands of Asia, Europe, North Africa, and North and Central America. The principal aim of the present work was to investigate the chemical content and biological potential of the resin and cone from Abies nordmanniana subsp. bornmulleriana and Abies nordmanniana subsp. equi-trojani, respectively. The flavonoid and phenolic contents of the resin and cones were evaluated using liquid chromatography-high resolution mass spectrometry (LC-HRMS). Additionally, the essential oil and fatty acid compositions were analyzed using gas chromatography-mass spectrometry (GC-MS) and gas chromatography-flame ionization detector (GC-FID).. Cytotoxicity …
Theoretical Study On The Insertion Reaction Of The Stannylenoid H2snlif With X-H Bonds (X = N, O, F), Shuo Wu, Bingfei Yan, Shaoli Liu, Wenzuo Li
Theoretical Study On The Insertion Reaction Of The Stannylenoid H2snlif With X-H Bonds (X = N, O, F), Shuo Wu, Bingfei Yan, Shaoli Liu, Wenzuo Li
Turkish Journal of Chemistry
The insertion reactions of p-complex (RP) and three-membered ring configuration (RS) of stannylenoid H2SnLiF with NH3, H2O and HF have been studied theoretically by quantum chemical calculation. The structures of reactants, precursors, transition states, intermediates and products have been fully optimized at the M06-2X/def2-TZVP level. The single point energy of all fixed points were calculated using the QCISD method. The calculation results show that the three-membered ring configuration is easier to conduct the insertion reaction. Comparing the reaction energy barriers of RP, RS to NH3, H2O and HF, we found that the difficulty of the insertion reaction is NH3 > H2O …
Senggani Fruit (Melastoma Malabathricum Linn.) Extract As A Natural Indicator In Ph-Responsive Pva-Taro Starch Plastic Packaging, Rika Risma Dewi, Intan Syahbanu, Winda Rahmalia
Senggani Fruit (Melastoma Malabathricum Linn.) Extract As A Natural Indicator In Ph-Responsive Pva-Taro Starch Plastic Packaging, Rika Risma Dewi, Intan Syahbanu, Winda Rahmalia
Turkish Journal of Chemistry
Polyvinyl alcohol (PVA)-starch-based bioplastics are widely used in many applications. pH-responsive plastic packaging was produced through the incorporation of senggani (Melastoma malabathricum Linn.) fruit extract into PVA-taro starch-based plastic packaging. The objective of this research was to examine the characteristics of senggani fruit extract under different pH conditions and explore its application as a pH indicator in intelligent packaging. The senggani fruit was extracted through the maceration method using a solvent comprising 96% ethanol and 3% citric acid, with a ratio of 85:15 (v/v). The senggani fruit extract solution underwent color changes, appearing pink at pH levels below 6, pale …
Design And Characterization Of Phosphonic Acid-Functionalized Grafted Sepiolite Nanohybrids And Their Adsorption Studies For Removal Of Copper Ions From Aqueous Solution, Mehwish Tahir, Asif Raza, Amara Nasir, Tariq Yasin, Shamila Imtiaz
Design And Characterization Of Phosphonic Acid-Functionalized Grafted Sepiolite Nanohybrids And Their Adsorption Studies For Removal Of Copper Ions From Aqueous Solution, Mehwish Tahir, Asif Raza, Amara Nasir, Tariq Yasin, Shamila Imtiaz
Turkish Journal of Chemistry
In this study, we synthesized novel, economically efficient phosphonic acid-functionalized grafted sepiolite nanohybrids for selective elimination of copper ions from water. These nanohybrids were prepared by graft polymerization of glycidyl methacrylate onto sepiolite. We utilized free radical graft polymerization to graft glycidyl methacrylate (GMA) onto silanized sepiolite. The nanohybrids obtained exhibited a grafting percentage of 479% at 0.3 g of KPS initiator, 15% GMA monomer, and after 4 h of reaction. In pursuit of selectively removing metal ions from water, the nanohybrid with the highest grafting (PGE3) was chemically treated with phosphoric acid to introduce phosphonic acid groups on it. …
Rapid Synthesis Of Azoindolizine Derivatives Via Aryldiazonium Salts, Ferruh Lafzi̇
Rapid Synthesis Of Azoindolizine Derivatives Via Aryldiazonium Salts, Ferruh Lafzi̇
Turkish Journal of Chemistry
A practical, rapid, and efficient method for the synthesis of azoindolizine derivatives via aryldiazonium salts with excellent yields was reported. Firstly, the corresponding aniline derivatives were synthesized via a simple and rapid method. Then, the optimal reaction conditions were investigated using a variety of protic and aprotic solvents that demonstrating the robustness of the approach. Finally, the applicability of this method to various sources of indolizine and phenyldiazonium tetrafluoroborate salts was expanded.
Mechanical Calculations On Atomically Thin Membranes, Burak Aslan
Mechanical Calculations On Atomically Thin Membranes, Burak Aslan
Turkish Journal of Physics
No abstract provided.
Sting Activation Increases The Efficiency Of Temozolomide In Pten Harbouring Glioblastoma Cells, Zafer Yildirim, Eda Doğan, Hale Güler Kara, Buket Kosova, Vi̇ldan Bozok
Sting Activation Increases The Efficiency Of Temozolomide In Pten Harbouring Glioblastoma Cells, Zafer Yildirim, Eda Doğan, Hale Güler Kara, Buket Kosova, Vi̇ldan Bozok
Turkish Journal of Medical Sciences
Background/aim: Glioblastoma is one of the most aggressive tumours, resistant to all applied therapy regiments and prone to relapse. Median survival rates are therefore only expressed as months. STING agonists are immunomodulatory molecules that activate type I interferon expression, making them potentially useful in regulating the tumour microenvironment. Since PTEN serves as a critical phosphatase in activating interferon-regulating transcription factors and is frequently mutated in glioblastoma cells, this study aimed to investigate STING activation in glioblastoma cell lines, examining whether they harbour the PTEN protein or not.°Materials and methods: T98G and U118MG glioblastoma cell lines were treated with the 2ʹ3ʹ-c-di-AM(PS)2(Rp,Rp) …
Comparative Analysis Of Closed Hydroponic Systems And Planting Seasons For Lettuces, Demet Çeki̇n, Mostafa Hassanen, Mariam Hassanen, Nayira Hassan, Ricarda Lothmann, Hani Sewilam
Comparative Analysis Of Closed Hydroponic Systems And Planting Seasons For Lettuces, Demet Çeki̇n, Mostafa Hassanen, Mariam Hassanen, Nayira Hassan, Ricarda Lothmann, Hani Sewilam
Turkish Journal of Agriculture and Forestry
Hydroponic cultivation techniques offer innovative solutions to address challenges in conventional agriculture, such as soil infertility, disease outbreaks, and poor drainage. This study focuses on comparing the performance of different closed hydroponic systems for lettuce cultivation across distinct winter and summer planting seasons. Four closed hydroponic systems—Deep Water Culture (DWC), Nutrient Film Technique (NFT), Media-bed system (MB), and Sandponic (SP)—were evaluated for their impact on vegetative growth parameters, leaf nutrient content, chlorophyll and carotene levels, and water consumption. Our findings reveal that the DWC and NFT systems exhibited greater yield increases in winter (81.90% and 75.64%, respectively) and in summer …
Evaluation Of Arginine Decarboxylase (Fvadc) And Spermidine Synthase (Fvspds) Genes Of Woodland Strawberry (Fragaria Vesca L.) In Nicotiana Tabacum, Ákos Mendel, Erzsebet Kiss
Evaluation Of Arginine Decarboxylase (Fvadc) And Spermidine Synthase (Fvspds) Genes Of Woodland Strawberry (Fragaria Vesca L.) In Nicotiana Tabacum, Ákos Mendel, Erzsebet Kiss
Turkish Journal of Agriculture and Forestry
A comparative analysis was performed under in vitro conditions using Nicotiana tabacum lines overexpressing the genes of arginine decarboxylase (FvADC) and spermidine synthase (FvSPDS) enzymes. The transgenic and native lines were tested under controlled conditions and exposed to long-term treatment of arginine (150 mg/L), putrescine (10 mg/L), and spermidine (10 mg/L). Chlorophyll and lignin contents of the samples were measured spectrophotometrically, while proline, putrescine, spermidine, and spermine contents were determined using high-performance liquid chromatography methods. The experimental results showed that the arginine decarboxylase enzyme affects polyamine metabolism. As it is involved in several other biosynthetic pathways, this effect is significant …
Local Organic And Inorganic Amendments To Improve Table Grape Production In Mediterranean Vineyards Of Southern Türkiye, Semi̇h Tangolar, Simone Priori, Serpi̇l Tangolar, Meti̇n Turan, Erhan Akça
Local Organic And Inorganic Amendments To Improve Table Grape Production In Mediterranean Vineyards Of Southern Türkiye, Semi̇h Tangolar, Simone Priori, Serpi̇l Tangolar, Meti̇n Turan, Erhan Akça
Turkish Journal of Agriculture and Forestry
In the Mediterranean Region, calcareous soils are generally considered to be of low fertility. The use of large amounts of chemicals and irrigation to compensate for low productivity reduces the producer’s net profit and degrades physical and chemical properties of the soils. As a result, the selection of adaptable genotypes is important in agriculturally limited lands. Grapevine is one of the leading crops in the Mediterranean Basin due to its high tolerance to abiotic conditions. However, the fact that the grapevine grows in extreme soils does not mean that such crop does not respond to a good nutritional program, especially …
Using Computational Modeling To Design Antiviral Strategies And Understand Plant-Virus Interactions, Hira Kamal, Muhammad Mubashar Zafar, Abdul Razzaq, Aqsa Ijaz, Zunaira Anvar, Hayat Topçu, Khalid M. Elhindi, Asif Saeed, Urooj Fatima, Xuefei Jiang
Using Computational Modeling To Design Antiviral Strategies And Understand Plant-Virus Interactions, Hira Kamal, Muhammad Mubashar Zafar, Abdul Razzaq, Aqsa Ijaz, Zunaira Anvar, Hayat Topçu, Khalid M. Elhindi, Asif Saeed, Urooj Fatima, Xuefei Jiang
Turkish Journal of Agriculture and Forestry
Using a bioinformatics approach to identify binding pockets between proteins is a preferable method before modifying the genome to delineate host interactions with viruses. Based on extensive proteomics data in numerous databases, several interaction prediction methods are available to identify binding sites between viruses and hosts at the individual residue level, but little is known about the interaction prediction strategy for plant viruses. Begomoviruses, belonging to the family Geminiviridae, constitute a group of circular single-stranded (ss) DNA viruses that encode multifunctional proteins responsible for viral replication, causing severe diseases in multiple host plants. These viruses usually escape through plant defense …
Soil And Organic Carbon Losses By Water Erosion In Coffee-Growing Areas In Southern Minas Gerais, Brazil, Derielsen Brandão Santana, Guilherme Da Silva Rios, Guilherme Henrique Expedito Lense, Felipe Gomes Rubira, Flávio Roberto Araújo Franceschi, Velibor Spalevic, Joaquim Ernesto Bernardes Ayer, Ronaldo Luiz Mincato
Soil And Organic Carbon Losses By Water Erosion In Coffee-Growing Areas In Southern Minas Gerais, Brazil, Derielsen Brandão Santana, Guilherme Da Silva Rios, Guilherme Henrique Expedito Lense, Felipe Gomes Rubira, Flávio Roberto Araújo Franceschi, Velibor Spalevic, Joaquim Ernesto Bernardes Ayer, Ronaldo Luiz Mincato
Turkish Journal of Agriculture and Forestry
Organic carbon performs essential functions in soils. Soils act as sources or sinks of atmospheric organic carbon. Agricultural management influences soil organic carbon, impacting climate change. One of the crops most vulnerable to climate change is coffee. Brazil is the world's largest coffee producer, with a predominance of management under a conventional system, with sloping terrain and the absence of conservationist practices. The absence of conservationist practices results in an increase in soil loss rates due to water management and carbon emissions, as well as a reduction in coffee production. This paper aimed to estimate soil and organic carbon losses …
Photovoltaic Fault Detection Based On Infrared And Visible Image Augmentation And Fusion, Xuewei Chao, Lixin Zhang, Yang Li, Chao Huang, Jing Li
Photovoltaic Fault Detection Based On Infrared And Visible Image Augmentation And Fusion, Xuewei Chao, Lixin Zhang, Yang Li, Chao Huang, Jing Li
Turkish Journal of Agriculture and Forestry
The rapid development of the agricultural photovoltaic integration model holds significant importance in improving land utilization and green energy economic benefits. However, due to the harsh working environment and prolonged exposure to natural conditions, photovoltaic (PV) components are prone to hot spot faults, leading to severe consequences. In this article, we propose a fine-grained PV hot spot fault detection framework based on the fusion of infrared and visible light images, addressing various factors that contribute to hot spot faults. Firstly, multiple sets of infrared and visible light image pairs under different hot spot fault conditions are collected. We employ generative …
Underutilized Edible Fruit Species Of The Indo-Gangetic Plains: A Systematic Review For Food Security And Land Degradation Neutrality, Dinesha S, Rakesh S, Deepranjan Sarkar, Prakash Kumar Jha, Raghupathi Balasani, Shikha ., Saswat Kumar Kar, Vishal Seth, Amitava Rakshit, Rahul Datta, Sezai̇ Erci̇şli̇
Underutilized Edible Fruit Species Of The Indo-Gangetic Plains: A Systematic Review For Food Security And Land Degradation Neutrality, Dinesha S, Rakesh S, Deepranjan Sarkar, Prakash Kumar Jha, Raghupathi Balasani, Shikha ., Saswat Kumar Kar, Vishal Seth, Amitava Rakshit, Rahul Datta, Sezai̇ Erci̇şli̇
Turkish Journal of Agriculture and Forestry
Many underutilized edible fruit species (UEFS) are found in the Indo-Gangetic Plains (IGP), which support food security (FS) for many other dependent communities as well as the indigenous people. Unfortunately, there is little study and fragmented information available about these naturally edible products. The UEFS of the IGP was the subject of a systematic review utilizing the PRISMA Protocol, which produced implications for FS and land degradation neutrality (LDN). This review aims to survey, summarize, and annotate the published information about the angiosperms native and naturalized UEFS of IGP to identify and make use of this species, particularly for the …
Histomorphological Evaluation Of Osteoreplacement With Germanium-Doped Calcium Phosphate Ceramics For Model Bone Defects In Rabbits, Tetiana Todosiuk, Mykhailo Rublenko, Valeriy Chemerovskiy, Nataliia Ulianchych, Volodymyr Kolomiiets
Histomorphological Evaluation Of Osteoreplacement With Germanium-Doped Calcium Phosphate Ceramics For Model Bone Defects In Rabbits, Tetiana Todosiuk, Mykhailo Rublenko, Valeriy Chemerovskiy, Nataliia Ulianchych, Volodymyr Kolomiiets
Turkish Journal of Veterinary & Animal Sciences
To give calcium phosphate ceramics osteoinductive properties, they are doped with silicon, germanium, zinc, and magnesium ions. The aim of this study was to evaluate the effects of doped and undoped calcium phosphate ceramics on reparative osteogenesis in rabbits. Twenty-four California white rabbits, aged 3 months and weighing 2.5 kg each, were used for the study. The rabbits were divided equally into experimental (n=12) and control (n=12) groups. In the experimental group, defects were replaced with granules of germanium-doped hydroxyapatite ceramics (HA/β-TCP/l-Ge–700), while in the control group, defects were filled with granules of unalloyed ceramics (HA/β-TCP–700). Subsequently, clinical and histological …
Application Of Some Artificial Intelligence Optimization Methods To Determine The Freshness Of Eggs, Hasan Alp Şahi̇n, Hasan Önder
Application Of Some Artificial Intelligence Optimization Methods To Determine The Freshness Of Eggs, Hasan Alp Şahi̇n, Hasan Önder
Turkish Journal of Veterinary & Animal Sciences
Egg quality, can be divided into two groups as internal and external, is evaluated using various methods whether breaking eggs. Image processing makes digital images usable for various purposes such as image compression, image editing, object recognition, face recognition, medical imaging, and many other areas such as the automotive industry. This study aimed to determine the freshness of eggs using different artificial intelligence optimization methods with image processing without breaking the eggs. Artificial neural networks (ANNs), artificial bee colony, particle swarm optimization, and genetic algorithms were compared using classification coefficients. As a result of the study, it was determined that …
Enhanced Dip Angle Map Using Kuwahara And Gaussian Filters: An Example From Burdur Region, Türkiye, Özkan Kafadar, Erdi̇nç Öksüm
Enhanced Dip Angle Map Using Kuwahara And Gaussian Filters: An Example From Burdur Region, Türkiye, Özkan Kafadar, Erdi̇nç Öksüm
Turkish Journal of Earth Sciences
Recently, many edge detection and enhancement techniques have been used to transform geophysical data into a more suitable form for interpretation. The dip angle, a surface-derived attribute that has been frequently used in the interpretation of seismic data, is one of these transforms, and recently, it has started to be utilized as an edge detector in the interpretation of potential field data. In this study, it is proposed to use the potential field data filtered using the Kuwahara and Gaussian filters to obtain clearer and more detailed edges from both the conventional dip angle and its rescaled version. Two synthetic …
Derivation Of A 1-D Seismic Velocity Model For The Lake Van Region, Mehveş Feyza Akkoyunlu, Bülent Kaypak, Bülent Oruç, Doğan Kalafat
Derivation Of A 1-D Seismic Velocity Model For The Lake Van Region, Mehveş Feyza Akkoyunlu, Bülent Kaypak, Bülent Oruç, Doğan Kalafat
Turkish Journal of Earth Sciences
We present a detailed one-dimensional (1-D) velocity model of the Lake Van Basin and its surrounding region, alongside precise hypocenter locations, utilizing seismic data from the aftershocks of the 23 October 2011 Lake Van earthquake (Mw = 7.1). The 1-D minimum velocity model is computed by the VELEST program by analyzing body wave traveltimes and station corrections. Encompassing a geographical area of 180 × 90 km² centered around Lake Van, the study incorporated seismic data from 10 newly deployed stations, complementing the existing network of the Kandilli Earthquake Research Institute. A comprehensive manual analysis was conducted on a dataset comprising …
Stochastic 1-D Reactive Transport Simulations To Assess Silica And Carbonate Phases During The Co2 Reinjection Process In Metasediments, Selçuk Erol
Turkish Journal of Earth Sciences
One proposed method to mitigate carbon emission is to mineralize the CO2 in deep geothermal reservoirs while mixing the coproduced CO2 with the effluent fluid for reinjection. The injection fluid temperature fluctuates due to the mixing process between CO2-charged water and the effluent fluid, and compressor interruptions change the thermodynamic conditions that influence the fluid-rock interaction in the reservoir. Mineral dissolution or precipitations are associated with changes in permeability and porosity that affect the flow and, eventually, the lifespan of the reservoir. A combined stochastic–reactive transport simulation approach is useful for inspection purposes. Moreover, the stochastic algorithm validates the deterministic …
Deposition Of Organic And Inorganic Carbons On The Turkish Continental Margins (1984–1996), Vedat Edi̇ger, Di̇lek Edi̇ger
Deposition Of Organic And Inorganic Carbons On The Turkish Continental Margins (1984–1996), Vedat Edi̇ger, Di̇lek Edi̇ger
Turkish Journal of Earth Sciences
This study reevaluates the published total inorganic carbon (TIC) and total organic carbon (TOC) percentages of 695 seafloor sediment samples collected from the continental margins of the Black Sea, Sea of Marmara, Aegean Sea and Mediterranean Sea between 1984 and 1996. An inverse relationship is observed between the average TIC and TOC percentages in the four seas surrounding Türkiye. The explanation for this phenomenon is closely connected to the terrestrial, marine, climatic, and environmental factors of the continental margins from which the samples were collected.
Unveiling Anomalies: A Survey On Xai-Based Anomaly Detection For Iot, Esin Eren, Feyza Yildirim Okay, Suat Özdemi̇r
Unveiling Anomalies: A Survey On Xai-Based Anomaly Detection For Iot, Esin Eren, Feyza Yildirim Okay, Suat Özdemi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, the rapid growth of the Internet of Things (IoT) has raised concerns about the security and reliability of IoT systems. Anomaly detection is vital for recognizing potential risks and ensuring the optimal functionality of IoT networks. However, traditional anomaly detection methods often lack transparency and interpretability, hindering the understanding of their decisions. As a solution, Explainable Artificial Intelligence (XAI) techniques have emerged to provide human-understandable explanations for the decisions made by anomaly detection models. In this study, we present a comprehensive survey of XAI-based anomaly detection methods for IoT. We review and analyze various XAI techniques, including …
Text-To-Sql: A Methodical Review Of Challenges And Models, Ali Buğra Kanburoğlu, Faik Boray Tek
Text-To-Sql: A Methodical Review Of Challenges And Models, Ali Buğra Kanburoğlu, Faik Boray Tek
Turkish Journal of Electrical Engineering and Computer Sciences
This survey focuses on Text-to-SQL, automated translation of natural language queries into SQL queries. Initially, we describe the problem and its main challenges. Then, by following the PRISMA systematic review methodology, we survey the existing Text-to-SQL review papers in the literature. We apply the same method to extract proposed Text-to-SQL models and classify them with respect to used evaluation metrics and benchmarks. We highlight the accuracies achieved by various models on Text-to-SQL datasets and discuss execution-guided evaluation strategies. We present insights into model training times and implementations of different models. We also explore the availability of Text-to-SQL datasets in non-English …
Security Fusion Method Of Physical Fitness Training Data Based On The Internet Of Things, Bin Zhou
Security Fusion Method Of Physical Fitness Training Data Based On The Internet Of Things, Bin Zhou
Turkish Journal of Electrical Engineering and Computer Sciences
Physical fitness training, an important way to improve physical fitness, is the basic guarantee for forming combat effectiveness. At present, the evaluation types of physical fitness training are mostly conducted manually. It has problems such as low efficiency, high consumption of human and material resources, and subjective factors affecting the evaluation results. ”Internet+” has greatly expanded the traditional network from the perspective of technological convergence and network coverage objects. It has expedited and promoted the rapid development of Internet of Things (IoT) technology and its applications. The IoT with many sensor nodes shows the characteristics of acquisition information redundancy, node …
Dpafy-Gcaps: Denoising Patch-And-Amplify Gabor Capsule Network For The Recognition Of Gastrointestinal Diseases, Henrietta Adjei Pokuaa, Adeboya Felix Adekoya, Benjamin Asubam Weyori, Owusu Nyarko-Boateng
Dpafy-Gcaps: Denoising Patch-And-Amplify Gabor Capsule Network For The Recognition Of Gastrointestinal Diseases, Henrietta Adjei Pokuaa, Adeboya Felix Adekoya, Benjamin Asubam Weyori, Owusu Nyarko-Boateng
Turkish Journal of Electrical Engineering and Computer Sciences
Deep learning (DL) models have performed tremendously well in image classification. This good performance can be attributed to the availability of massive data in most domains. However, some domains are known to have few datasets, especially the health sector. This makes it difficult to develop domain-specific high-performing DL algorithms for these fields. The field of health is critical and requires accurate detection of diseases. In the United States Gastrointestinal diseases are prevalent and affect 60 to 70 million people. Ulcerative colitis, polyps, and esophagitis are some gastrointestinal diseases. Colorectal polyps is the third most diagnosed malignancy in the world. This …
Joint Control Of A Flying Robot And A Ground Vehicle Using Leader-Follower Paradigm, Ayşen Süheyla Bağbaşi, Ali Emre Turgut, Kutluk Bilge Arikan
Joint Control Of A Flying Robot And A Ground Vehicle Using Leader-Follower Paradigm, Ayşen Süheyla Bağbaşi, Ali Emre Turgut, Kutluk Bilge Arikan
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a novel control framework for the collaboration of an aerial robot and a ground vehicle that is connected via a taut tether is proposed. The framework is based on a leader-follower paradigm. The leader follows a desired trajectory while the motion of the follower is controlled by an admittance controller using an extended state observer to estimate the tether force. Additionally, a velocity estimator is also incorporated to accurately assess the leader’s velocity. An essential feature of our system is its adaptability, enabling role switching between the robots when needed. Furthermore, the synchronization performance of the robots …
Stereo-Image-Based Ground-Line Prediction And Obstacle Detection, Emre Güngör, Ahmet Özmen
Stereo-Image-Based Ground-Line Prediction And Obstacle Detection, Emre Güngör, Ahmet Özmen
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, vision systems have become essential in the development of advanced driver assistance systems or autonomous vehicles. Although deep learning methods have been the center of focus in recent years to develop fast and reliable obstacle detection solutions, they face difficulties in complex and unknown environments where objects of varying types and shapes are present. In this study, a novel non-AI approach is presented for finding the ground-line and detecting the obstacles in roads using v-disparity data. The main motivation behind the study is that the ground-line estimation errors cause greater deviations at the output. Hence, a novel …
Cover And Contents
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Deep Learning-Based Breast Cancer Diagnosis With Multiview Of Mammography Screening To Reduce False Positive Recall Rate, Meryem Altın Karagöz, Özkan Ufuk Nalbantoğlu, Derviş Karaboğa, Bahriye Akay, Alper Baştürk, Halil Ulutabanca, Serap Doğan, Damla Coşkun, Osman Demi̇r
Deep Learning-Based Breast Cancer Diagnosis With Multiview Of Mammography Screening To Reduce False Positive Recall Rate, Meryem Altın Karagöz, Özkan Ufuk Nalbantoğlu, Derviş Karaboğa, Bahriye Akay, Alper Baştürk, Halil Ulutabanca, Serap Doğan, Damla Coşkun, Osman Demi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
Breast cancer is the most prevalent and crucial cancer type that should be diagnosed early to reduce mortality. Therefore, mammography is essential for early diagnosis owing to high-resolution imaging and appropriate visualization. However, the major problem of mammography screening is the high false positive recall rate for breast cancer diagnosis. High false positive recall rates psychologically affect patients, leading to anxiety, depression, and stress. Moreover, false positive recalls increase costs and create an unnecessary expert workload. Thus, this study proposes a deep learning based breast cancer diagnosis model to reduce false positive and false negative rates. The proposed model has …
Signer-Independent Sign Language Recognition With Feature Disentanglement, İnci̇ Meli̇ha Baytaş, İpek Erdoğan
Signer-Independent Sign Language Recognition With Feature Disentanglement, İnci̇ Meli̇ha Baytaş, İpek Erdoğan
Turkish Journal of Electrical Engineering and Computer Sciences
Learning a robust and invariant representation of various unwanted factors in sign language recognition (SLR) applications is essential. One of the factors that might degrade the sign recognition performance is the lack of signer diversity in the training datasets, causing a dependence on the singer’s identity during representation learning. Consequently, capturing signer-specific features hinders the generalizability of SLR systems. This study proposes a feature disentanglement framework comprising a convolutional neural network (CNN) and a long short-term memory (LSTM) network based on adversarial training to learn a signer-independent sign language representation that might enhance the recognition of signs. We aim to …
Eco-Assessment Of Phytoplankton Composition In Relation To Environmental Conditions Of Saltwater And Freshwater Lakes In The Konya Closed Basin (Türkiye), Abuzer Çelekli, Ömer Lekesiz, Tolga Çetin
Eco-Assessment Of Phytoplankton Composition In Relation To Environmental Conditions Of Saltwater And Freshwater Lakes In The Konya Closed Basin (Türkiye), Abuzer Çelekli, Ömer Lekesiz, Tolga Çetin
Turkish Journal of Botany
Great importance is given to maintaining lentic ecosystems, threatened by human-induced consequences worldwide. The present study hypothesized to assess differences in species-environment relationships and ecological status of 15 lakes (saline water systems, high-altitude freshwater lakes, and other freshwater lakes) in the Konya Closed River Basin using phytoplankton indices throughout wet and dry periods. Results of canonical correspondence analysis separated saline and freshwater (high-altitude) habitats, which were characterized by different phytoplankton species. Total phosphorus (TP), electrical conductivity (EC), nickel-Ni, and altitude were the most influential environmental factors affecting phytoplankton dispersal in these ecosystems. Saline lakes were under pressure of high EC, …