115 results for “Image Enhancement”
Research Article
Open Access Optimizing Accuracy and Efficiency in Ship Detection from Satellite Images through a Comparative Analysis of Object Detection Models
Nesli S. Azdavay, Azdavay N, Zofia G. Zajac, Zajac Z, Hakan M. Didis, Didis H, Ilayda Boz, Boz I
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.2.006
This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…
Research Article
Open Access Integrating UAVs and YOLO Deep Learning for Early-Stage Forest Fire Detection
Hakan Mert Didis, Didis H, Firuze Adibeli, Adibeli F, Ilayda Boz, Boz I, Nesli S. Azdavay, Azdavay N
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.3.012
The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…
Research Article
Open Access Advanced Maritime Vessel Detection in Satellite Imagery Using Masati-V2
Keerthi Reddy Gudibandi, Gudibandi K, Sreeram Venkata Sai Suchitha, Suchitha S, Chamarthi Sreenivasulu, Sreenivasulu C, Koduru Hajarathaiah, Hajarathaiah K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.15.001
Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…
Research Article
Open Access Pedestrian and Vehicles Detection with ResNet in Aerial Images
Enes Cengiz, Cengiz E, Cemal Yılmaz, Yılmaz C, Hamdi Tolga Kahraman, Kahraman H, Fatih Bayram, Bayram F
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.107
In today's applications, a significant increase in the use of deep learning algorithms is noticeable. The convolution neural network (CNN) of deep learning has been used frequently recently, especially for the successful discrimination of people and vehicles …
Research Article
Open Access Akut Lenfoblastik Löseminin Makine Öğrenimi ile Sınıflandırılması
Ayşe Berika Varol Malkoçoğlu , Varol Malkoçoğlu A, İsmail İşeri, İşeri İ
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.139
Akut Lenfoblastik Lösemi (ALL) genellikle 2-5 yaş arasındaki çocuklarda görülen, kemik iliğindeki beyaz kan hücrelerinin hızlı artışından ve şekilsel bozukluklarından kaynaklanan bir kanser türüdür. Tespit edilip tedavi sürecinin başlatılmadığı takdirde ölümle…
Research Article
Open Access A Brief Review on Object Oriented Image Classification Methods for Information Extraction from Satellite and Aerial Images on Land Use/Cover Applications
Mustafa Hayri Kesikoğlu, Kesikoğlu M, Sevim Yasemin Çiçekli, Çiçekli S, Tolga Kaynak, Kaynak T
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Over the years, developments in the world of science and technology have emerged. Developments in image classification methods can also be evaluated in this context. Nowadays, the use of image classification methods for extracting information from data obtaine…
Research Article
Open Access Structured Deep Learning Supported with Point Cloud for 3D Human Pose Estimation
Erdal Özbay, Özbay E, Ahmet Çınar, Çınar A, Zafer Güler, Güler Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…
Research Article
Open Access Accurate and Scalable Object Detection for Smart Warehousing Using YOLOv8 and Residual CNNs
Iman Elawady, Elawady I, Abdulrahman Al Homsi, Homsi A, Omer Ahmed Mohamed Ahmed, Ahmed O
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.51.001
Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…
Research Article
Open Access Brain Tumor Classification Using Fine-Tuned Transfer Learning
Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001
Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…
Research Article
Open Access Bitki Hastalıklarını Tespit Eden Görüntü İşleme Sistemli Mobil Uygulama
Yiğitcan Soylu, Soylu Y, Mustafa Altıok, Altıok M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.43.001
Bitkilerde hastalıkların erken teşhisi, tarımsal verimliliğin artırılması ve ürün kayıplarının önlenmesi açısından büyük öneme sahiptir. Bu çalışmada, tarımsal üretimde önemli kayıplara yol açan bitki yaprak hastalıklarının erken teşhisine yönelik bir yapay ze…
Research Article
Open Access Enhancing Offline Handwritten Signature Identification with Pre-Trained CNN Architectures
Nader Ebrahimpour, Ebrahimpour N
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0030
Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…
Research Article
Open Access Palmprint Recognition Using Pre-Trained Convolutional Neural Networks
Nader Ebrahimpour, Ebrahimpour N, Faruk Baturalp Günay, Günay F
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.018
Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…
Research Article
Open Access Üretken Çekişmeli Ağ Kullanarak Eski Görüntüleri Renklendirme ve İyileştirme
Arda Cem Bilecan, Bilecan A, Simay Hoşmeyve, Hoşmeyve S, Bahadır Karasulu, Karasulu B
Proceeding of the 5th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.1.008
Günümüzde derin öğrenme alanı için veri, çalışma sonuçlarının başarı oranı için büyük önem taşımaktadır. Bu ihtiyaca yönelik olarak görüntü işleme konusunda yapabileceğimiz iyileştirmeler ile daha kaliteli ve eksiksiz görüntüler elde etmek ve eski verilerde ka…
Research Article
Open Access A Comparative Study of Quantitative Image Analyze and X-Ray Diffraction Methods for Carbide Amount in composite coatings on steel
Koray Kılıçay, Kılıçay K, Esad Kaya, Kaya E, İsmail Bayar , Bayar İ, Mustafa Ulutan, Ulutan M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Carbides change highly effective on the mechanical and tribological properties of the coatings. For this reason, it is very important to determine the carbide ratio in the microstructure correctly. Researchers mostly try to determine phase ratios by optical im…
Research Article
Open Access Potential Role of Life Cycle Assessment for Cultural Heritage Conservation Practices in Türkiye
Dilara Başçıl, Başçıl D, Çağıl Ezgi Aydemir Karakaş, Aydemir Karakaş Ç, Nihan Bulut, Bulut N
6th International Symposium on Innovation in Architecture, Planning and Design 2024 https://doi.org/10.36287/setsci.20.16.125
This study emphasizes the significance of integrating Life Cycle Assessment (LCA), a systematic method used to evaluate the environmental impacts of a process throughout its entire life cycle, as a vital tool for cultural heritage conservation in Türkiye. The …
Research Article
Open Access Development of a Torque Vectoring Strategy to improve Performance in Electric Vehicles with Individually Driven Wheels
Hamza Shabbir, Shabbir H, Omer Cihan Kivanc, Kivanc O
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.017
In this work, a new torque vectoring strategy is developed and the results are compared with those of existing controllers that are widely used for such applications in the existing literature. The objective of said strategy is to generate the corrective yaw m…
Research Article
Open Access Havai Hat İletkenlerinin Isıl Performans Analizi
Murat Dinç, Dinç M, Oktay Arıkan, Arıkan O, Fırat Akın, Akın F
Proceeding of the 5th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.1.002
Gelişen teknoloji ve artmakta olan nüfus yoğunluğu sebebiyle enerji talebi gün geçtikçe artmaktadır. Artan enerji talebini karşılamak için gerilim seviyeleri yükseltilmekte, yeni iletim hatları inşa edilmekte, ya da var olan iletim hatları akım taşıma kapasite…
Research Article
Open Access Dizel Motorlarında Zararlı Egzoz Emisyonlarının Azaltılmasının Araştırılması
Zeynep İlkılıç Aytaç, İlkılıç Aytaç Z, Cumali İlkılıç, İlkılıç C
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.148
Dünyada enerji üretimi yapılan her yerde havayı kirleten maddeler atmosfere atılmaktadır. Özellikle yakma sistemlerinin baca ve egzozlarından çevreye yayılan bu kirleticiler insan sağlığını ve canlıların hayat şartlarını olumsuz yönde etkilemektedir. Yapılan b…
Research Article
Open Access Optimization of Raman Pumping in the Serial Hybrid Fiber Amplifier
Sura Al-gburi, Al-gburi S, Mudhafar Hussein Ali , Hussein Ali M, Thamer F. Almashhadani , Almashhadani T
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
A serial hybrid optical amplifier composing of two amplification stages of erbium-doped fiber (EDF) amplifier covered C-band window and Raman fiber amplifier (RFA) covered L band window demonstrated. In this paper, the optimizations were done to obtain the opt…
Research Article
Open Access Örnek Bir Elektronik Baskı Devresinde Soğutma Performansını Arttırmak için Kullanılan Via Uygulamasının Jonksiyon Sıcaklığına Etkilerinin Araştırılması
K.Furkan Sökmen, Sökmen K, Osman Bedrettin Karataş, Karataş O
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Çalışmamızda Samsung PLCC4 LED ve elektronik bileşenlerinin jonksiyon sıcaklığı üzerinde via etkisi hesaplamalı akışkanlar mekaniği analizleri ile araştırılmıştır. Analizlerde FloEFD 17.4 hesaplamalı akışkanlar dinamiği ticari programı kullanılmıştır. Elektron…