A5036190068- Robotic Mechanisms and Dynamics
- Soft Robotics and Applications
- COVID-19 diagnosis using AI
- Particle physics theoretical and experimental studies
- Radiomics and Machine Learning in Medical Imaging
- Robot Manipulation and Learning
- AI in cancer detection
- Water Quality Monitoring Technologies
- Bone fractures and treatments
- Marine and fisheries research
- Advanced Neural Network Applications
- Cutaneous Melanoma Detection and Management
- Anomaly Detection Techniques and Applications
- Appendicitis Diagnosis and Management
- Air Quality Monitoring and Forecasting
- Underwater Vehicles and Communication Systems
- Cosmology and Gravitation Theories
- Total Knee Arthroplasty Outcomes
- High-Energy Particle Collisions Research
- Greenhouse Technology and Climate Control
- Medical Imaging and Analysis
- Advanced Chemical Sensor Technologies
- Digital Imaging for Blood Diseases
- Smart Agriculture and AI
- Nonmelanoma Skin Cancer Studies
Technical University of Denmark
2023-2025
Dokuz Eylül University
2021-2023
Dokuz Eylül Üniversitesi Hastanesi
2022
Cukurova University
2014-2021
Pennsylvania State University
2011
Institut de Physique Théorique
2009
Magnetic resonance imaging (MRI) is a useful method for diagnosis of tumours in human brain. In this work, MRI images have been analysed to detect the regions containing tumour and classify these into three different categories: meningioma, glioma, pituitary. Deep learning relatively recent powerful image classification tasks. Therefore, faster Region-based Convolutional Neural Networks (faster R-CNN), deep method, has utilized implemented via TensorFlow library study. A publicly available...
The present paper investigates the prediction of vibration, noise level, and emission characteristics a four-stroke, four-cylinder diesel engine fueled with sunflower, canola, corn biodiesel blends while H2 injected through inlet manifold using two different artificial intelligence methods: neural network (ANN) support vector machines (SVM). aim these methods is to predict noise, carbon monoxide (CO), CO2, NOx based on initial experimental study by varying speed, biodiesel, energy...
Purpose: Acute appendicitis (AA) is a common surgical emergency affecting 7-8% of the population. Timely diagnosis and treatment are crucial for preventing serious morbidity mortality. Diagnosis typically involves physical examination, laboratory tests, ultrasonography, computed tomography (CT). This study aimed to evaluate effectiveness artificial intelligence (AI) in analyzing CT images early AA prevention complications. Methods: patients who underwent surgery at General Surgery Clinic...
Abstract This study explores the influence of textural properties and mineralogical composition on micro mesoscale mechanical behaviors three different rock types. Employing laboratory experiments, discrete element modeling (DEM), examinations, fractal analysis, we quantitatively assess damage evolution. Fractal dimension (D B ) calculations crack patterns, identified thin sections prepared parallel perpendicular to uniaxial compressive loading direction at critical stress thresholds (σ ci ,...
Proceedings of ISMD08
We investigate the effects of saturation boundary on small-x evolution at next-to-leading order accuracy and beyond. demonstrate that instabilities BFKL are not cured by presence boundary. This indicates a resummation higher corrections is therefore needed also for nonlinear evolution. The renormalization group improved resummed equation in investigated, corresponding scale extracted. A significant reduction found, we observe onset delayed to rapidities. seems be related characteristic...
High increment rate of human population brings about the necessity efficient utilization world resources. One way achieving this is providing plants with optimum amount water at right time in agricultural applications. In paper, a cloud-based drip irrigation system, which determines and performs process automatically, presented. Basically, level Class A pan continuously measured via sensor duration calculated using total decrement given interval. The initialized by powering solenoid valves...
In demersal trawl fisheries, the unavailability of catch information until end catching process is a drawback, leading to seabed impacts, bycatches and reducing economic performance fisheries. The emergence in-trawl cameras observe catches in real-time can provide such information. This data needs be processed determine compositions rates, eventually improving sustainability this study, underwater video processing system counting Nephrops individuals entering has been developed using object...
Pneumonia is an infection that typically diagnosed by taking X-Ray images of chest the subject and it has a very high death rate in children. Recent advancements deep learning allows for analyzing large amounts detection such diseases. In this study, effects three image preprocessing methods on pneumonia performance models are analyzed. Contrast limited adaptive histogram equalization (CLAHE), unsharp masking, wiener filtering involved methods. For models, two different convolutional neural...
External ring fixators are widely used in orthopaedics for the purposes of fracture fixation, bone lengthening and deformity correction. In these fixators, clinician typically brings fragments to an anatomically desired position by changing lengths rods connecting fixator rings. This task is accomplished based on experience expertise. As alternative, commercial systems exist where same automatized with help accompanying software that implements a mathematical model fixator. this work, we...
Flight safety and reliability improvement is an important research issue in aerial applications. Multi-rotor drones are vulnerable to motor failures leading potentially unsafe operations or collisions. Therefore, researchers working on autonomous landing systems safely recover land the faulty drone a desired area. In such case, suitable zone should be detected rapidly for emergency landing. Majority of works related with utilize marker GPS signals detect site. this work, we propose system...
External fixators are widely used in the area of orthopedics to manage deformities and fractures. The historical trend obtaining a mechanical infrastructure has shifted from simple devices like pins, rods, hinges more sophisticated frames involving parallel manipulators. Despite advantages such robotic especially removing stiffness issues, there still problems associated with reliable deployment these modern devices. Problems singularity, possibilities guiding fragments along many different...
Detection of malignant skin lesions is important for early and accurate diagnosis cancer. In this work, a hybrid method lesion detection from dermoscopy images proposed. The combines the feature extraction process convolutional neural networks (CNN) with an ensemble learner called stacked cross-validation (CV). features extracted by three different CNN architectures, namely, ResNet50, Xception, VGG16 are used training four baseline classifiers, which support vector machines, k-nearest...
High-multiplicity proton–proton collisions at the LHC may exhibit collective phenomena such as elliptic flow. We study this issue using DIPSY, a brand-new Monte Carlo event generator which features almost-NLO BFKL dynamics and describes transverse shape of proton including all fluctuations. predict eccentricity collision function multiplicity estimate magnitude suggest that flow can be signaled by sign change in four-particle azimuthal correlation.
Demersal trawling is largely a blind process where information on catch rates and compositions only available once the taken onboard vessel. Obtaining quantitative of target species while fishing can improve fisheries economic environmental performance as fishers would be able to use this make informed decisions during fishing. Despite there are real-time underwater monitoring systems developed for purpose, video data produced by these not analyzed in near real-time. In other words, user...