A5045481091- Photodynamic Therapy Research Studies
- Nanoplatforms for cancer theranostics
- Photoacoustic and Ultrasonic Imaging
- Advanced Neural Network Applications
- Acute Ischemic Stroke Management
- bioluminescence and chemiluminescence research
- Digital Imaging for Blood Diseases
- Porphyrin and Phthalocyanine Chemistry
- COVID-19 diagnosis using AI
- UAV Applications and Optimization
- Robotic Path Planning Algorithms
- Brain Tumor Detection and Classification
- Cell Image Analysis Techniques
- Autonomous Vehicle Technology and Safety
- Image Processing Techniques and Applications
- Infectious Diseases and Mycology
- Lung Cancer Diagnosis and Treatment
- Veterinary Oncology Research
- Radiomics and Machine Learning in Medical Imaging
- Orthopedic Infections and Treatments
- Advanced Control Systems Optimization
- Tactile and Sensory Interactions
- Healthcare Technology and Patient Monitoring
- Dental Research and COVID-19
- Advanced Control Systems Design
Sakarya University
2015-2024
Sakarya Uygulamalı Bilimler Üniversitesi
2018-2024
Sağlık Bilimleri Üniversitesi
2023
Abstract Triple negative breast cancer (TNBC) is one of the subtypes characterized by a heterogeneous and aggressive nature. Photodynamic therapy (PDT) has drawn significant attention in treatment. However, solubility photosensitizer, penetration problems into target tissue insufficient oxygen concentration limit effectiveness PDT. To overcome these limitations to reduce side effects chemotherapy, combination treatment modalities play an essential role In this study, we aimed investigate...
Deep learning is a powerful technique that has been applied to the task of stroke detection using medical imaging. Stroke condition occurs when blood supply brain interrupted, which can cause damage and other serious complications. Detection important in order minimize improve patient outcomes. One most common imaging modalities used for CT(Computed Tomography). CT provide detailed images be identify presence location stroke. models, particularly convolutional neural networks (CNNs), have...
Abstract Photodynamic therapy (PDT) is a targeted treatment method that utilizes photosensitizer (PS) to induce cytotoxicity in malignant and non-malignant tumors. Optimization of PDT requires investigation the selectivity PS for target tissues, irradiating light source, irradiation wavelengths, fluence rate, fluence, illumination mode, overall plan. In this study, we developed Multi-mode Automatized Well-plate LED Laboratory Irradiation System (MAWPLIS), an innovative device automates...
This paper attempts to investigate the importance of image processing by chest X-rays (CXRs) in early diagnosis lung cancer. It analyzes contributions CXRs radiological assessment cancer, discussing their benefits and flaws proposing methods for improving performance. The research evaluates performance CXR versus other imaging including CT focuses on which is crucial enhancing patients’ outcome Moreover, delves into latest progress technology shows how it used accuracy radiographs
In this paper, an automatic cell counting method under microscopy is proposed. The process can be performed in two ways: manual which a specialist counts the cells with naked eye, and that utilizes computer-based techniques. counting, there are several techniques for dying to turn them visible eye. However, if concentration more than normal overlap. Overlap incorrect adjusted parameters main factors cause inaccurate results. Furthermore, inter-observer variability high. Even though same...
Bu çalışmada balina sürüsü algoritması kullanılarak ölü zamanlı sistemlerin denetlenmesinde kullanılan Smith predictor için PID denetleyicisinin parametreleri belirlenmiştir. Ayrıca Predictor Zeigler-Nichols veya AMIGO yöntemleri ile yapılan tasarımında kontrol işareti sınırlandırılmamaktadır. kısıt aşımı ise işaretini oluşturan aktüatöre zarar...
Mikroskop altında hücre sayımı, bir uzman tarafından mikroskop merceğine sürekli bakılarak veya otomatik sayımı yöntemleri kullanılarak yapılabilmektedir.Sayım yapıldığında oldukça yorucu, uzun süren ve düşük doğruluğa sahip işlem haline gelmektedir.Bunun dışında sayımını zorlaştrıan doğruluğu düşüren başka etkenler de mevcuttur.Bu nedenle, sayımının şekilde yapılması sunulan sayım yöntemlerinin iyileştirilmesi gerekmektedir.Bu çalışmada, flüoresans görüntüsünde tespiti için yöntem...
In recent years, the use of unmanned aerial vehicle (UAV) platforms in civil and military fields, has been increasing day by become a critical technology. The artificial intelligence (AI) embedded UAV system great importance potential future [1-3]. AI UAVs can be used research development, search rescue missions, photography, videography, border security, traffic control, forest fire prevention, working toxic chemical gas environments, preventing poaching, natural resource exploration,...
Abstract In recent years, the use of unmanned aerial vehicle (UAV) platforms in civil and military fields has significantly increased become a critical technology. The artificial intelligence (AI) embedded UAV system great importance potential future. Research development, search rescue operations, photography, videography, border security, traffic control, forest fire prevention, working toxic chemical gas environments, preventing poaching, natural resource exploration, agriculture,...
Basınç yaralanması yönetiminde uygun ve etkin girişimleri zamanında gerçekleştirebilmek için, basınç yaralanmasını tanılama sınıflandırma en öncelikli adımdır. Dolayısıyla yaralarının sınıflandırılmasında günümüz teknolojilerinden yararlanmak yara bakım yönetimine olumlu yansıyacaktır. Bu teknolojilerin önemlilerinden olan yapay zeka alanında ortaya çıkan derin öğrenme, hastalıkların tanı tedavisinde sağlık profesyonellerine destek olmayı amaçlamaktadır. makalede öğrenmenin yarası...
ÖZET
In recent years, the use of unmanned aerial vehicle (UAV) platforms in civil and military applications has surged, highlighting critical role artificial intelligence (AI) embedded UAV systems future. This study introduces Autonomous Drone (Vechür-SIHA), a novel AI-embedded system designed for real-time detection tracking other UAVs during flight sequences. Leveraging advanced object algorithms an LSTM-based mechanism, our achieves impressive 80% accuracy drone detection, even challenging...
The purpose of this study is the development a novel tactile probe for detection lumps in soft tissue. includes an inductive sensor inside artificial tissue-like silicon rubber cushioning and square shaped multi-metal-array to increase sensitivity. Firstly, thermoplastic polymer was fabricated housing mechanical compression test executed by material testing machine. Secondly, calibrated between 2.5N-25N 2.5N incremental steps showed 99.49% linear behavior. In order measure probe’s...
Bu çalışmada UV-C led ile dezanfektan işleminin bakteri popülasyonundaki üremeyi nasıl etkilediği üzerine bir inceleme yapılmıştır. amaçla özellikle banka ve fabrika gişelerinde sıklıkla kullanılan numerik padler üzerinde uygulamasının yapılabilmesi için prototip geliştirilmiştir. kullanılarak yüzey belli sürelerde uygulaması Her işlem sonunda tek...