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ORCIDSule Yildirim Yayilgan
Sule Yayilgan – Sule Yildirim
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- affiliation: Gjøvik University College, Norway
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2020 – today
- 2024
[j17]Ehtesham Hashmi
, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Subhan Ali, Mohamed Abomhara:
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI. IEEE Access 12: 44462-44480 (2024)- [j16]Ehtesham Hashmi, Sule Yildirim Yayilgan, Ibrahim A. Hameed, Muhammad Mudassar Yamin, Mohib Ullah, Mohamed Abomhara:
Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration. IEEE Access 12: 121507-121537 (2024) - [j15]Alireza Pourafzal, Pavel Skrabanek, Michael Cheffena, Sule Yildirim, Thomas Roi-Taravella:
Low complexity subspace approach for unbiased frequency estimation of a complex single-tone. Digit. Signal Process. 145: 104304 (2024) - [j14]Mohamed Abomhara, Livinus Obiora Nweke, Sule Yildirim Yayilgan, Debora Comparin, Kristel Teyras, Stéphanie de Labriolle:
Enhancing privacy protections in national identification systems: an examination of stakeholders' knowledge, attitudes, and practices of privacy by design. Int. J. Inf. Sec. 23(6): 3665-3689 (2024) - [j13]Ehtesham Hashmi, Sule Yildirim Yayilgan, Sarang Shaikh:
Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers. Soc. Netw. Anal. Min. 14(1): 86 (2024) - 2023
- [j12]Blanka Klímová, Marcel Pikhart, Petra Poláková, Miloslava Cerná, Sule Yildirim Yayilgan, Sarang Shaikh:
A Systematic Review on the Use of Emerging Technologies in Teaching English as an Applied Language at the University Level. Syst. 11(1): 42 (2023) - [c73]Sarang Shaikh, Sher Muhammad Daudpota, Sule Yildirim Yayilgan, Sindhu Sindhu:
Exploring the potential of large-language models (LLMs) for student feedback sentiment analysis. FIT 2023: 214-219 - [c72]Sarang Shaikh, Sule Yildirim Yayilgan:
Developing an Agent-Based Simulation Model for Predicting Technology Acceptance at Border Crossing Points. ICARA 2023: 373-378 - [c71]Doney Abraham, Øyvind Anders Arntzen Toftegaard, Alemayehu Gebremedhin, Sule Yayilgan:
Consequence Verification During Risk Assessments of Smart Grids. Critical Infrastructure Protection 2023: 40-61 - 2022
- [c70]Prosper Kandabongee Yeng, Muhammad Ali Fauzi, Bian Yang, Sule Yildirim Yayilgan:
Analysing digital evidence towards enhancing healthcare security practice: The KID model. ICAIC 2022: 1-9 - [c69]Sarang Shaikh, Sule Yildirim Yayilgan, Erjon Zoto, Mohamed Abomhara:
Towards Understanding of User Perceptions for Smart Border Control Technologies using a Fine-Tuned Transformer Approach. NLDL 2022 - [c68]Sarang Shaikh, Sule Yildirim Yayilgan, Erjon Zoto, Mohamed Abomhara:
A Survey of Artificial Intelligence Techniques for User Perceptions' Extraction from Social Media Data. SAI (2) 2022: 627-655 - [e2]Filippo Sanfilippo, Ole-Christoffer Granmo, Sule Yildirim Yayilgan, Imran Sarwar Bajwa:
Intelligent Technologies and Applications - 4th International Conference, INTAP 2021, Grimstad, Norway, October 11-13, 2021, Revised Selected Papers. Communications in Computer and Information Science 1616, Springer 2022, ISBN 978-3-031-10524-1 [contents] - [i10]Mohamed Abomhara, Sule Yildirim Yayilgan, Livinus Obiora Nweke, Zoltán Székely:
A comparison of primary stakeholders'views on the deployment of biometric technologies in border management: Case study of SMart mobILity at the European land borders. CoRR abs/2201.03388 (2022) - [i9]Mohamed Abomhara, Sule Yildirim Yayilgan:
An Example of Privacy and Data Protection Best Practices for Biometrics Data Processing in Border Control: Lesson Learned from SMILE. CoRR abs/2201.03401 (2022) - [i8]Mohamed Abomhara, Sule Yildirim Yayilgan, Anne Hilde Nymoen, Marina Shalaginova, Zoltán Székely, Ogerta Elezaj:
How to Do It Right: A Framework for Biometrics Supported Border Control. CoRR abs/2201.03407 (2022) - [i7]Mohamed Abomhara, Sule Yildirim Yayilgan, Marina Shalaginova, Zoltán Székely:
Border Control and Use of Biometrics: Reasons Why the Right to Privacy Can Not Be Absolute. CoRR abs/2201.03410 (2022) - [i6]Ying Xu, Sule Yildirim Yayilgan:
When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection. CoRR abs/2209.13289 (2022) - 2021
- [c67]Filip Holík, Doney Abraham, Sule Yildirim Yayilgan:
Emulation of IEC 60870-5-104 Communication in Digital Secondary Substations. INTAP 2021: 232-243 - [e1]Sule Yildirim Yayilgan, Imran Sarwar Bajwa, Filippo Sanfilippo:
Intelligent Technologies and Applications - Third International Conference, INTAP 2020, Gjøvik, Norway, September 28-30, 2020, Revised Selected Papers. Communications in Computer and Information Science 1382, Springer 2021, ISBN 978-3-030-71710-0 [contents] - 2020
- [j11]Ahmed Kedir Mohammed, Ivar Farup, Marius Pedersen, Sule Yildirim, Øistein Hovde:
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data. Comput. Vis. Image Underst. 201: 103062 (2020) - [c66]Athar Khodabakhsh, Sule Yildirim Yayilgan, Mohamed Abomhara, Maren Istad, Nargis Hurzuk:
Cyber-risk identification for a digital substation. ARES 2020: 109:1-109:7 - [c65]Javed Ahmed, Sule Yildirim, Mariusz Nowostaki, Raghvendra Ramachandra, Ogerta Elezaj, Mohamad Abomohara:
GDPR Compliant Consent Driven Data Protection in Online Social Networks: A Blockchain-Based Approach. ICICT 2020: 307-312 - [c64]Nita Mulliqi, Sule Yildirim, Ahmed Kedir Mohammed, Lule Ahmedi, Hao Wang, Ogerta Elezaj, Øistein Hovde:
The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection. ICIP 2020: 380-384 - [c63]Sule Yildirim Yayilgan, Blend Arifaj, Masoomeh Rahimpour, Jon Yngve Hardeberg, Lule Ahmedi:
Pre-trained CNN Based Deep Features with Hand-Crafted Features and Patient Data for Skin Lesion Classification. INTAP 2020: 151-162 - [c62]Yen-Ting Lee, Thitinun Pengying, Sule Yildirim Yayilgan, Ogerta Elezaj:
Data-Driven Machine Learning Approach for Human Action Recognition Using Skeleton and Optical Flow. INTAP 2020: 163-175 - [c61]Ferhat Özgür Çatak, Sule Yildirim Yayilgan:
Deep Neural Network Based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks. INTAP 2020: 280-291 - [c60]Anahita Golrang, Sule Yildirim Yayilgan, Ogerta Elezaj:
The Multi-objective Feature Selection in Android Malware Detection System. INTAP 2020: 311-322 - [c59]Mohamed Abomhara, Sule Yildirim Yayilgan:
An Example of Privacy and Data Protection Best Practices for Biometrics Data Processing in Border Control: Lesson Learned from SMILE. INTAP 2020: 344-358 - [c58]Ogerta Elezaj, Sule Yildirim Yayilgan, Edlira Kalemi:
Criminal Network Community Detection in Social Media Forensics. INTAP 2020: 371-383 - [c57]Athar Khodabakhsh, Sule Yildirim Yayilgan:
Data Privacy in IoT Equipped Future Smart Homes. INTAP 2020: 384-391 - [c56]Sule Yildirim Yayilgan, Imran Sarwar Bajwa, Filippo Sanfilippo:
Correction to: Intelligent Technologies and Applications. INTAP 2020 - [c55]Athar Khodabakhsh, Sule Yildirim Yayilgan, Siv Hilde Houmb, Nargis Hurzuk, Jørn Foros, Maren Istad:
Cyber-Security Gaps in a Digital Substation: From Sensors to SCADA. MECO 2020: 1-4 - [i5]Athar Khodabakhsh, Sule Yildirim Yayilgan:
Data Privacy in IoT Equipped Future Smart Homes. CoRR abs/2008.04979 (2020) - [i4]Ahmed Kedir Mohammed, Ivar Farup, Marius Pedersen, Sule Yildirim, Øistein Hovde:
PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data. CoRR abs/2011.12957 (2020)
2010 – 2019
- 2019
- [j10]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
The impact of deep learning on document classification using semantically rich representations. Inf. Process. Manag. 56(5): 1618-1632 (2019) - [j9]Tomás Majtner, Sule Yildirim Yayilgan, Jon Yngve Hardeberg:
Optimised deep learning features for improved melanoma detection. Multim. Tools Appl. 78(9): 11883-11903 (2019) - [c54]Ogerta Elezaj, Sule Yildirim Yayilgan, Mohamed Abomhara, Prosper Kandabongee Yeng, Javed Ahmed:
Data-Driven Intrusion Detection System for Small and Medium Enterprises. CAMAD 2019: 1-7 - [c53]Mohamed Abomhara, Sule Yildirim Yayilgan, Anne Hilde Nymoen, Marina Shalaginova, Zoltán Székely, Ogerta Elezaj:
How to Do It Right: A Framework for Biometrics Supported Border Control. e-Democracy 2019: 94-109 - [c52]Ogerta Elezaj, Sule Yildirim Yayilgan, Edlira Kalemi, Linda Wendelberg, Mohamed Abomhara, Javed Ahmed:
Towards Designing a Knowledge Graph-Based Framework for Investigating and Preventing Crime on Online Social Networks. e-Democracy 2019: 181-195 - [c51]Ahmed Kedir Mohammed, Sule Yildirim, Ivar Farup, Marius Pedersen, Øistein Hovde:
StreoScenNet: surgical stereo robotic scene segmentation. Medical Imaging: Image-Guided Procedures 2019: 109510P - [c50]Mohamed Abomhara, Sule Yildirim Yayilgan, Marina Shalaginova, Zoltán Székely:
Border Control and Use of Biometrics: Reasons Why the Right to Privacy Can Not Be Absolute. Privacy and Identity Management 2019: 259-271 - 2018
- [j8]Ahmed Kedir Mohammed, Ivar Farup, Sule Yildirim, Marius Pedersen, Øistein Hovde:
Variational approach for capsule video frame interpolation. EURASIP J. Image Video Process. 2018: 30 (2018) - [j7]Ahmed Kedir Mohammed, Ivar Farup, Marius Pedersen, Øistein Hovde, Sule Yildirim Yayilgan:
Stochastic Capsule Endoscopy Image Enhancement. J. Imaging 4(6): 75 (2018) - [c49]Ahmed Kedir Mohammed, Sule Yildirim Yayilgan, Marius Pedersen, Ivar Farup, Øistein Hovde:
Y-Net: A deep Convolutional Neural Network for Polyp Detection. BMVC 2018: 308 - [c48]Evelyn Paiz-Reyes, Nadile Nunes-de-Lima, Sule Yildirim Yayilgan:
GIF Image Retrieval in Cloud Computing Environment. ICIAR 2018: 261-268 - [c47]Yat Hong Jacky Lam, Sule Yildirim Yayilgan:
Saliency-Based Image Object Indexing and Retrieval. ICIAR 2018: 269-277 - [c46]Claudia Companioni-Brito, Zygred Mariano-Calibjo, Mohamed Elawady, Sule Yildirim:
Mobile-Based Painting Photo Retrieval Using Combined Features. ICIAR 2018: 278-284 - [c45]Sabri Bolkar, Congcong Wang, Faouzi Alaya Cheikh, Sule Yildirim:
Deep Smoke Removal from Minimally Invasive Surgery Videos. ICIP 2018: 3403-3407 - [c44]Claudia Companioni-Brito, Mohamed Elawady, Sule Yildirim, Jon Yngve Hardeberg:
Editorial Image Retrieval Using Handcrafted and CNN Features. ICISP 2018: 284-291 - [c43]Ahmed Kedir Mohammed, Marius Pedersen, Øistein Hovde, Sule Yildirim:
Deep-STRESS Capsule Video Endoscopy Image Enhancement. CIC 2018: 247-252 - [c42]Binu Melit Devassy, Sule Yildirim Yayilgan, Jon Yngve Hardeberg:
The Impact of Replacing Complex Hand-Crafted Features with Standard Features for Melanoma Classification Using Both Hand-Crafted and Deep Features. IntelliSys (1) 2018: 150-159 - [i3]Ahmed Kedir Mohammed, Sule Yildirim, Ivar Farup, Marius Pedersen, Øistein Hovde:
Y-Net: A deep Convolutional Neural Network for Polyp Detection. CoRR abs/1806.01907 (2018) - [i2]Tomás Majtner, Buda Bajic, Sule Yildirim, Jon Yngve Hardeberg, Joakim Lindblad, Natasa Sladoje:
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification. CoRR abs/1808.05071 (2018) - 2017
- [j6]Edlira Kalemi, Sule Yildirim Yayilgan, Elton Domnori, Ogerta Elezaj:
SMONT: an ontology for crime solving through social media. Int. J. Metadata Semant. Ontologies 12(2/3): 71-81 (2017) - [c41]Ahmed Kedir Mohammed, Sule Yildirim, Marius Pedersen, Oistein Hovde, Faouzi Alaya Cheikh:
Sparse Coded Handcrafted and Deep Features for Colon Capsule Video Summarization. CBMS 2017: 728-733 - [c40]Qëndresë Hyseni, Sule Yildirim Yayilgan, Bujar Krasniqi, Kadri Sylejmani:
Solving the Problem of Distribution of Fiscal Coupons by Using a Steady State Genetic Algorithm. IBICA 2017: 49-59 - [c39]Zenun Kastrati, Sule Yildirim Yayilgan:
Supervised Ontology-Based Document Classification Model. ICCDA 2017: 245-251 - [c38]Ogerta Elezaj, Sule Yildirim, Edlira Kalemi:
Data-Driven Machine Learning Approach for Predicting Missing Values in Large Data Sets: A Comparison Study. MOD 2017: 268-285 - [c37]Zenun Kastrati, Sule Yildirim Yayilgan:
Improving Document Classification Effectiveness Using Knowledge Exploited by Ontologies. NLDB 2017: 435-438 - 2016
- [j5]Fisnik Dalipi, Sule Yildirim Yayilgan, Alemayehu Gebremedhin:
Data-Driven Machine-Learning Model in District Heating System for Heat Load Prediction: A Comparison Study. Appl. Comput. Intell. Soft Comput. 2016: 3403150:1-3403150:11 (2016) - [j4]Sule Yildirim Yayilgan, Yang Du, Fisnik Dalipi, Jonas C. Jeppesen:
A New Ski Injury Registration System Architecture Using Mobile Applications to Enhance Skiing Safety. Int. J. Interact. Mob. Technol. 10(4): 4-10 (2016) - [j3]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
SEMCON: A Semantic and Contextual Objective Metric for Enriching Domain Ontology Concepts. Int. J. Semantic Web Inf. Syst. 12(2): 1-24 (2016) - [c36]Tomás Majtner, Kristina Lidayova, Sule Yildirim Yayilgan, Jon Yngve Hardeberg:
Improving skin lesion segmentation in dermoscopic images by thin artefacts removal methods. EUVIP 2016: 1-6 - [c35]Fisnik Dalipi, Sule Yildirim Yayilgan:
Security and Privacy Considerations for IoT Application on Smart Grids: Survey and Research Challenges. FiCloud Workshops 2016: 63-68 - [c34]Fisnik Dalipi, Sule Yildirim Yayilgan, Ali Shariq Imran, Zenun Kastrati:
Towards Understanding the MOOC Trend: Pedagogical Challenges and Business Opportunities. HCI (23) 2016: 281-291 - [c33]Tomás Majtner, Sule Yildirim Yayilgan, Jon Yngve Hardeberg:
Efficient Melanoma Detection Using Texture-Based RSurf Features. ICIAR 2016: 30-37 - [c32]Tomás Majtner, Sule Yildirim Yayilgan, Jon Yngve Hardeberg:
Combining deep learning and hand-crafted features for skin lesion classification. IPTA 2016: 1-6 - [c31]Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool:
Low-cost scene modeling using a density function improves segmentation performance. RO-MAN 2016: 77-84 - [c30]Zenun Kastrati, Sule Yildirim Yayilgan, Rune Hjelsvold:
Automatically Enriching Domain Ontologies for Document Classification. WIMS 2016: 29:1-29:4 - [i1]Vivek Sharma, Sule Yildirim Yayilgan, Luc Van Gool:
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance. CoRR abs/1605.08464 (2016) - 2015
- [c29]Carlos Arango Duque, Ani Khachatryan, Sule Yildirim Yayilgan:
A relevance feedback based image retrieval approach for improved performance. CVCS 2015: 1-6 - [c28]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan, Fisnik Dalipi:
Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON. HCI (14) 2015: 148-157 - [c27]Fisnik Dalipi, Sule Yildirim Yayilgan, Zenun Kastrati:
Enhancing the Learner's Performance Analysis Using SMEUS Semantic E-learning System and Business Intelligence Technologies. HCI (24) 2015: 208-217 - [c26]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
A General Framework for Text Document Classification Using SEMCON and ACVSR. HCI (4) 2015: 310-319 - [c25]Vivek Sharma, Frank Dittrich, Sule Yildirim Yayilgan, Ali Shariq Imran, Heinz Wörn:
How to Tune a Random Forest for Real-time Segmentation in Safe Human-Robot Collaboration? HCI (27) 2015: 700-704 - [c24]Limamou Gueye, Sule Yildirim Yayilgan, Faouzi Alaya Cheikh, Ilangko Balasingham:
Automatic detection of colonoscopic anomalies using capsule endoscopy. ICIP 2015: 1061-1064 - [c23]Vivek Sharma, Frank Dittrich, Sule Yildirim Yayilgan, Luc Van Gool:
Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain. MLIS@ICML 2015: 6-14 - [c22]Sule Yildirim Yayilgan, Aurilla Aurelie Arntzen, Gry Helene Stavseng, Milena Ljubicic, Bjørn Solvang, Richard Meadow, Fisnik Dalipi:
Knowledge, Technology and Innovation (KTI): Opportunities, issues and challenges of KTI transfer between Norway and the Balkans countries. ITHET 2015: 1-7 - [c21]Yang Du, Sule Yildirim Yayilgan:
A Novel Cache and SSD-based Index Structure for Health Record Indexing. MIE 2015: 993-994 - [c20]Zenun Kastrati, Sule Yildirim Yayilgan, Ali Shariq Imran:
Using Context-Aware and Semantic Similarity Based Model to Enrich Ontology Concepts. NLDB 2015: 137-143 - [c19]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
SEMCON: Semantic and contextual objective metric. ICSC 2015: 65-68 - [c18]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
An Improved Concept Vector Space Model for Ontology Based Classification. SITIS 2015: 240-245 - [c17]Fisnik Dalipi, Sule Yildirim Yayilgan, Alemayehu Gebremedhin:
A Cloud Computing Framework for Smarter District Heating Systems. UIC/ATC/ScalCom 2015: 1413-1416 - 2014
- [c16]Ali Shariq Imran, Laksmita Rahadianti, Faouzi Alaya Cheikh, Sule Yildirim Yayilgan:
Objective keyword selection for lecture video annotation. EUVIP 2014: 1-6 - [c15]Adnan Abdalla, Sule Yildirim Yayilgan:
A Review of Using Online Social Networks for Investigative Activities. HCI (22) 2014: 3-12 - [c14]Zenun Kastrati, Ali Shariq Imran, Sule Yildirim Yayilgan:
Building Domain Ontologies for Hyperlinked Multimedia Pedagogical Platforms. HCI (27) 2014: 95-100 - [c13]Jonas C. Jeppesen, Sule Yildirim Yayilgan:
Systematic Ski Injury Registration using a Digital Platform. MIE 2014: 1251 - 2013
- [c12]Kamer Vishi, Sule Yildirim Yayilgan:
Multimodal Biometric Authentication Using Fingerprint and Iris Recognition in Identity Management. IIH-MSP 2013: 334-341 - [c11]Tone Vold, Sule Yildirim Yayilgan:
Playful participation for learning in higher education - The introduction of participatory role play simulation in a course at Hedmark University College. ITHET 2013: 1-4 - [c10]Ali Shariq Imran, Laksmita Rahadianti, Faouzi Alaya Cheikh, Sule Yildirim Yayilgan:
Semantic Keyword Selection for Automatic Video Annotation. SITIS 2013: 241-246 - 2012
- [j2]Sule Yildirim Yayilgan, Bernd Blobel, Françoise Petersen, Asbjørn Hovstø, Peter Pharow, Dag Waaler, Younis Hijazi:
An Architectural Approach to Building Ambient Intelligent Travel Companions. Int. J. E Health Medical Commun. 3(3): 86-95 (2012) - [c9]Ali Shariq Imran, Laksmita Rahadianti, Faouzi Alaya Cheikh, Sule Yildirim Yayilgan:
Semantic Tags for Lecture Videos. ICSC 2012: 117-120 - [c8]Victor M. Torres Ochoa, Sule Yildirim Yayilgan, Faouzi Alaya Cheikh:
Adult Video Content Detection Using Machine Learning Techniques. SITIS 2012: 967-974 - 2011
- [c7]Sule Yildirim Yayilgan, Asbjørn Hovstø, Faouzi Alaya Cheikh, Anthony Amodei, Marc Iori, Sandel Zaharia, Dimosthenis Ioannidis, Øystein Thorvaldsen:
Group Identification at Border Crossing Points. BIOSIG 2011: 291-296
2000 – 2009
- 2008
- [j1]Jun Wang, Gregory L. Dam, Sule Yildirim, William Rand, Uri Wilensky, James C. Houk:
Reciprocity between the cerebellum and the cerebral cortex: Nonlinear dynamics in microscopic modules for generating voluntary motor commands. Complex. 14(2): 29-45 (2008) - [c6]Sule Yildirim, Sindre Berg Stene:
A survey on the need and use of AI in game agents. SpringSim 2008: 124-131 - 2007
- [c5]Sule Yildirim, Gregory L. Dam, James C. Houk:
The mind agents in Netlogo 3.1. SpringSim (2) 2007: 137-143 - 2006
- [c4]Demissie B. Aredo, Sule Yildirim:
Security issues in adaptive distributed systems. ECIS 2006: 2206-2215 - [c3]Sule Yildirim, Ronald L. Beachell:
Does the Human Brain Have Algorithms? IC-AI 2006: 486-492 - 2004
- [c2]Sule Yildirim:
A Learning Based Vision Guided Robotic Agent Replanning Framework and a Case Study. IC-AI 2004: 770-776 - 2002
- [b1]Sule Yildirim:
Bir robot kolu için görüntü destekli akıllı iş planlayıcısı (A Vision guided intelligent task planner for a robot arm). Ege University, Turkey, 2002 - [c1]Sule Yildirim, Turhan Tunali:
The Implementation of a Robotic Replanning Framework. ADVIS 2002: 195-204
Coauthor Index
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