Konu "Computer Science" için Bilgisayar Mühendisliği Bölümü listeleme

Toplam kayıt 19, listelenen: 1-19

    • A Tool for Automated Inspection of Software Design Documents and its Empirical Evaluation in an Aviation Industry Setting 

      Coskun ,M. Evren; Ceylan ,M. Melta; Yigitözu ,Kadir; Garousi ,Vahid (Ieee, 2016)
      While software inspection is an effective activity to detect defects early in the software development lifecycle, it is an effort-intensive and error-prone activity. Motivated by a real need in the context of the Turkish ...

    • A Weighted Rule Based Method for Predicting Malignancy of Pulmonary Nodules By Nodule Characteristics 

      Kaya, Aydın; Can, Ahmet Burak (Academic Press Inc Elsevier Science, 2015)
      Predicting malignancy of solitary pulmonary nodules from computer tomography scans is a difficult and important problem in the diagnosis of lung cancer. This paper investigates the contribution of nodule characteristics ...

    • Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures 

      Bernardi, Raffaella; Cakıcı, Ruket; Elliott, Desmond; Erdem, Aykut; Erdem, Erkut; Ikizler-Cinbis, Nazli; Keller, Frank; Muscat, Adrian; Plank, Barbara (Ai Access Foundation, 2016)
      Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we ...

    • Characteristic Usage Of Turkish Internet Users In Office Environment 

      Seydi, Keceli Ali; Kerem, Erzurumlu (Elsevier Science Bv, 2011)
      In this paper, a lawyer office's network and internet traffic will be examined for determining the characteristics of users and network traffic load. In order to do that, some modifications on the lawyers office is made. ...

    • Cross-Layer Energy Minimization For Underwater Aloha Networks 

      Koseoglu, Mehmet; Karasan, Ezhan; Chen, Lin (Ieee-Inst Electrical Electronics Engineers Inc, 2017)
      Underwater networks suffer from energy efficiency challenges due to difficulties in recharging underwater nodes. In addition, underwater acoustic networks show unique transmission characteristics such as frequency-dependent ...

    • Ensemble Of Multiple Instance Classifiers For Image Re-Ranking 

      Sener, Fadime; Ikizler-Cinbis, Nazli (Elsevier, 2014)
      Text-based image retrieval may perform poorly due to the irrelevant and/or incomplete text surrounding the images in the web pages. In such situations, visual content of the images can be leveraged to improve the image ...

    • Highly-Cited Papers In Software Engineering: The Top-100 

      Garousi, Vahid; Fernandes, Joao M. (Elsevier, 2016)
      Context: According to the search reported in this paper, as of this writing (May 2015), a very large number of papers (more than 70,000) have been published in the area of Software Engineering (SE) since its inception in ...

    • Manifestation of an Adaptive Neuro-Fuzzy Model on Landslide Susceptibility Mapping: Klang Valley, Malaysia 

      Sezer, Ebru Akcapinar; Pradhan, Biswajeet; Gokceoglu, Candan (Pergamon-Elsevier Science Ltd, 2011)
      The purpose of the present paper is to manifest the results of the neuro-fuzzy model using remote sensing data and GIS for landslide susceptibility analysis in a part of the Klang Valley areas i Malaysia. Landslide locations ...

    • Password Management Diffuculties in System and Network Management 

      Huseyin, Temucin; Kerem, Erzurumlu (Elsevier Science Bv, 2011)
      In this paper, password management problems of network and system management will be handled. In this concept, password management and its usage in systems and networks will be introduced. Then password management problems ...

    • Predicting Food Demand in Food Courts by Decision Tree Approaches 

      Bozkir, Ahmet Selman; Sezer, Ebru Akcapinar (Elsevier Science Bv, 2011)
      Fluctuations and unpredictability in food demand generally cause problems in economic point of view in public food courts. In this study, to overcome this problem and predict actual consumption demand for a specified menu ...

    • S-Ide: A Tool Framework For Optimizing Deployment Architecture Of High Level Architecture Based Simulation Systems 

      Celik, Turgay; Tekinerdogan, Bedir (Elsevier Science Inc, 2013)
      One of the important problems in High Level Architecture (HLA) based distributed simulation systems is the allocation of the different simulation modules to the available physical resources. Usually, the deployment of the ...

    • Systematic Mapping of Process Mining Studies in Healthcare 

      Erdogan, Tugba Gurgen; Tarhan, Ayca (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
      In the last decade, as an emerging technique for business processes management, process mining (PM) has been applied in many domains, including manufacturing, supply-chain, government, healthcare, and software engineering. ...

    • Testing Embedded Software: A Survey Of The Literature 

      Garousi, Vahid; Felderer, Michael; Karapicak, Cagri Murat; Yilmaz, Ugur (Elsevier Science Bv, 2018)
      Context Embedded systems have overwhelming penetration around the world. Innovations are increasingly triggered by software embedded in automotive, transportation, medical-equipment, communication, energy, and many other ...

    • The Problems Of Public Accessed Computer Laboratories And A Suggestion For These Problems' Solution 

      Kerem, Erzurumlu; Aydin, Kaya (Elsevier Science Bv, 2011)
      In this paper, the cronical problems of computer laboratories which are commonly used on educational institutes will be investigated and an alternative solution to this problems will be provided. In this concept, firstly, ...

    • The Thermal Infrared Visual Object Tracking Vot-Tir2016 Challenge Results 

      Felsberg, Michael; Kristan, Matej; Matas, Jiri; Leonardis, Ales; Pflugfelder, Roman; Hager, Gustav; Berg, Amanda; Eldesokey, Abdelrahman; Ahlberg, Jorgen; Cehovin, Luka; Vojir, Tomas; Lukezic, Alan; Fernandez, Gustavo; Petrosino, Alfredo; Garcia-Martin, Alvaro; Montero, Andres Solis; Varfolomieiev, Anton; Erdem, Aykut; Han, Bohyung; Chang, Chang-Ming; Du, Dawei; Erdem, Erkut; Khan, Fahad Shahbaz; Porikli, Fatih; Zhao, Fei; Bunyak, Filiz; Battistone, Francesco; Zhu, Gao; Seetharaman, Guna; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Nam, Hyeonseob; Valmadre, Jack; Zhu, Jianke; Feng, Jiayi; Lang, Jochen; Martinez, Jose M.; Palaniappan, Kannappan; Lebeda, Karel; Gao, Ke; Mikolajczyk, Krystian; Wen, Longyin; Bertinetto, Luca; Poostchi, Mahdieh; Maresca, Mario; Danelljan, Martin; Arens, Michael; Tang, Ming; Baek, Mooyeol; Fan, Nana; Al-Shakarji, Noor; Miksik, Ondrej; Akin, Osman; Torr, Philip H. S.; Huang, Qingming; Martin-Nieto, Rafael; Pelapur, Rengarajan; Bowden, Richard; Laganiere, Robert; Krah, Sebastian B.; Li, Shengkun; Yao, Shizeng; Hadfield, Simon; Lyu, Siwei; Becker, Stefan; Golodetz, Stuart; Hu, Tao; Mauthner, Thomas; Santopietro, Vincenzo; Li, Wenbo; Huebner, Wolfgang; Li, Xin; Li, Yang; Xu, Zhan; He, Zhenyu (Springer International Publishing Ag, 2016)
      The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object ...

    • The Visual Object Tracking Vot2016 Challenge Results 

      Kristan, Matej; Leonardis, Ales; Matas, Jiri; Felsberg, Michael; Pflugfelder, Roman; Cehovin, Luka; Vojir, Tomas; Hager, Gustav; Lukezic, Alan; Fernandez, Gustavo; Gupta, Abhinav; Petrosino, Alfredo; Memarmoghadam, Alireza; Garcia-Martin, Alvaro; Montero, Andres Solis; Vedaldi, Andrea; Robinson, Andreas; Ma, Andy J.; Varfolomieiev, Anton; Alatan, Aydin; Erdem, Aykut; Ghanem, Bernard; Liu, Bin; Han, Bohyung; Martinez, Brais; Chang, Chang-Ming; Xu, Changsheng; Sun, Chong; Kim, Daijin; Chen, Dapeng; Du, Dawei; Mishra, Deepak; Yeung, Dit-Yan; Gundogdu, Erhan; Erdem, Erkut; Khan, Fahad; Porikli, Fatih; Zhao, Fei; Bunyak, Filiz; Battistone, Francesco; Zhu, Gao; Roffo, Giorgio; Subrahmanyam, Gorthi R. K. Sai; Bastos, Guilherme; Seetharaman, Guna; Medeiros, Henry; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Lu, Huchuan; Lee, Hyemin; Nam, Hyeonseob; Chang, Hyung Jin; Drummond, Isabela; Valmadre, Jack; Jeong, Jae-chan; Cho, Jae-il; Lee, Jae-Yeong; Zhu, Jianke; Feng, Jiayi; Gao, Jin; Choi, Jin Young; Xiao, Jingjing; Kim, Ji-Wan; Jeong, Jiyeoup; Henriques, Joao F.; Lang, Jochen; Choi, Jongwon; Martinez, Jose M.; Xing, Junliang; Gao, Junyu; Palaniappan, Kannappan; Lebeda, Karel; Gao, Ke; Mikolajczyk, Krystian; Qin, Lei; Wang, Lijun; Wen, Longyin; Bertinetto, Luca; Rapuru, Madan Kumar; Poostchi, Mahdieh; Maresca, Mario; Danelljan, Martin; Mueller, Matthias; Zhang, Mengdan; Arens, Michael; Valstar, Michel; Tang, Ming; Baek, Mooyeol; Khan, Muhammad Haris; Wang, Naiyan; Fan, Nana; Al-Shakarji, Noor; Miksik, Ondrej; Akin, Osman; Moallem, Payman; Senna, Pedro; Torr, Philip H. S.; Yuen, Pong C.; Huang, Qingming; Martin-Nieto, Rafael; Pelapur, Rengarajan; Bowden, Richard; Laganiere, Robert; Stolkin, Rustam; Walsh, Ryan; Krah, Sebastian B.; Li, Shengkun; Zhang, Shengping; Yao, Shizeng; Hadfield, Simon; Melzi, Simone; Lyu, Siwei; Li, Siyi; Becker, Stefan; Golodetz, Stuart; Kakanuru, Sumithra; Choi, Sunglok; Hu, Tao; Mauthner, Thomas; Zhang, Tianzhu; Pridmore, Tony; Santopietro, Vincenzo; Hu, Weiming; Li, Wenbo; Huebner, Wolfgang; Lan, Xiangyuan; Wang, Xiaomeng; Li, Xin; Li, Yang; Demiris, Yiannis; Wang, Yifan; Qi, Yuankai; Yuan, Zejian; Cai, Zexiong; Xu, Zhan; He, Zhenyu; Chi, Zhizhen (Springer International Publishing Ag, 2016)
      The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number ...

    • Tree Structured Dirichlet Processes For Hierarchical Morphological Segmentation 

      Can, Burcu; Manandhar, Suresh (Mit Press, 2018)
      This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word ...

    • Two-Person Interaction Recognition Via Spatial Multiple Instance Embedding 

      Sener, Fadime; Ikizler-Cinbis, Nazli (Academic Press Inc Elsevier Science, 2015)
      In this work, we look into the problem of recognizing two-person interactions in videos. Our method integrates multiple visual features in a weakly supervised manner by utilizing an embedding-based multiple instance learning ...

    • Volumetric Object Recognition Using 3-D Cnns On Depth Data 

      Caglayan, Ali; Can, Ahmet Burak (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
      Recognizing 3-D objects has a wide range of application areas from autonomous robots to self-driving vehicles. The popularity of low-cost RGB-D sensors has enabled a rapid progress in 3-D object recognition in the recent ...