Bölüm "Bilgisayar Mühendisliği" için listeleme
Toplam kayıt 228, listelenen: 181-200
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Spatıo-Temporal Earthquake Predıctıon Wıth Structural Recurrent Neural Networks
(Fen Bilimleri Enstitüsü, 2021)The earthquake prediction problem can be defined as a given a minimum Richter magnitude scale and a specified geographic region, predicting the possibility of an earthquake in that region within a time interval. This is a ... -
Stilistik Özellikler Kullanılarak Yazar Tanıma İşinde Yapay Sinir Ağlarının Başarımının Değerlendirilmesi: Türkçe Köşe Yazıları
(Fen Bilimleri Enstitüsü, 2017)One of the main opportunities that the internet provides today is the rapidity of media resources, anonymity and accessibility from anywhere. Since individuals do not have to use their real identity in places like websites, ... -
Systematic Mapping of Process Mining Studies in Healthcare
(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. ... -
Tagging And Action Graph Generation For Recipes
(Fen Bilimleri Enstitüsü, 2019-09-12)Processing instructions is significant to accomplish daily tasks. Instructions can be found in many different forms for a variety tasks. Machine understanding of instructions, similarly, can be beneficial for artificial ... -
Tales of Turbulence: BERT-Based Multimodal Analysis of FED Communication Dynamics Amidst COVID-19 through FOMC Minutes
(Fen Bilimleri Enstitüsü, 2023-09)Although communication of the central banks with the market was still quite limited at the end of the 20th century, and the authorities had agreed that policymakers should hold a more secretive attitude, this situation ... -
Temporal Anomaly Localızatıon In Vıdeo
(Fen Bilimleri Enstitüsü, 2021-10-14)Detecting anomalies in surveillance videos is an important research problem in computer vision. In this thesis, we propose two deep network architectures for anomaly detection, Anomaly Detection Network (ADNet) and Anomaly ... -
Testing Embedded Software: A Survey Of The Literature
(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 Cafa Challenge Reports Improved Protein Function Prediction And New Functional Annotations For Hundreds Of Genes Through Experimental Screens
(2019)Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the ... -
The Problems Of Public Accessed Computer Laboratories And A Suggestion For These Problems' Solution
(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 Relationship of Cybersickness with Eye and Brain Activity in Response to Varying Speed, Scene Complexity and Stereoscopic VR Cues
(Fen Bilimleri Enstitüsü, 2022)In this study, our aim is to make an evaluation of the interplay between environment-based cues, namely speed, scene complexity and stereoscopic rendering parameters, and the discomfort felt in the form of cybersickness ... -
The Thermal Infrared Visual Object Tracking Vot-Tir2016 Challenge Results
(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
(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 ... -
Topic Model Based Recommendation System To Identify Operations That Are Missing In The Treatment
(Fen Bilimleri Enstitüsü, 2019)In the medical field, although it is extremely important and a legal obligation to record the pro-cedures applied to patients by the health personnel, generally the operation lists are incomplete. Omissions in the operation ... -
Topic Model Based Recommendation Systems Retailers
(Fen Bilimleri Enstitüsü, 2016)Nowadays, sellers need very good strategy to keep their customers’ loyalty and to attract new customers to their shops. One of the important ways to accomplish this task is to present new and interesting items to their ... -
Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon
(Fen Bilimleri Enstitüsü, 2021)Visual question answering (VQA) is one of the difficult tasks in multimodal machine reasoning. VQA requires machines to provide correct answers to questions about an image or a video. Here, the machine should perceive the ... -
Tree Structured Dirichlet Processes For Hierarchical Morphological Segmentation
(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 ... -
Turkish Lexicon Expansion By Using Finite State Automata
(2019)Turkish is an agglutinative language with rich morphology. A Turkish verb can have thousands of different word forms. Therefore, sparsity becomes an issue in many Turkish natural language processing (NLP) applications. ... -
Turkish Video Captioning with Msvd-Turkish Dataset
(Fen Bilimleri Enstitüsü, 2020)The problem of video captioning can be defined as describing a video content by using natural language in a way that a person can identify the video by performing information extraction from the given videos. Video captioning ... -
Türkçe Ağızların Tanınmasında Derin Öğrenme Tekniğinin Kullanılması
(Fen Bilimleri Enstitüsü, 2019-02)Automatic speech recognition systems are used to translate speech sounds into text. The performance of the automatic speech recognition system in any language is dependent on the speaker gender and emotion as well as ... -
Türkçe Dizi Etiketleme İçin Sinir Ağ Modelleri
(Fen Bilimleri Enstitüsü, 2019)Because of the inflection of many word forms from the same root in agglutinative languages such as Turkish, modeling the words as a whole causes sparsity problem. Therefore, rather than handling the word as a whole, ...