Výsledky vyhledávání - "Computer Learning and Pattern Recognition::Neural Networks"

A Mobile Touch-Based Continuous Authentication System via User-Specific Distribution Based Learning ; Kullanıcıya Özel Dağılım Tabanlı Öğrenme İle Dokunmatik Sürekli Kimlik Doğrulama Sistemi

Autoři: Gündüz, Gürkan Taşkaya Temizel, Tuğba Department of Data Informatics

Přispěvatelé: Gündüz, Gürkan Taşkaya Temizel, Tuğba Department of Data Informatics

Témata: Continuous authentication (CA), Behavioral biometrics, Touch-based authentication, Kernel density estimation (KDE), Kullback-leibler divergence, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Human Computer Interaction, Computer Learning and Pattern Recognition::Computer Learning

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/115607

Dostupnost: https://hdl.handle.net/11511/115607

Predicting pedestrian crossing behavior with attention-based encodings of vehicle and pedestrian states ; Dikkat mekanizmasıyla kodlanmış araç ve yaya bilgileriyle yaya geçiş davranışının öngörülmesi

Autoři: Kumral, Mehmet Ali Schmidt, Klaus Werner Department of Electrical and Electronics Engineering

Přispěvatelé: Kumral, Mehmet Ali Schmidt, Klaus Werner Department of Electrical and Electronics Engineering

Témata: Autonomous vehicles, Pedestrian intention prediction, Machine learning, Attention networks, Feature fusion, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Computer Learning

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/115591

Dostupnost: https://hdl.handle.net/11511/115591

Hypernetwork-based hybrid recommendation system enhanced by LLM-augmented representations ; Büyük dil modelleri ile zenginleştirilen temsillerle güçlendirilmiş hiper-ağ tabanlı hibrit öneri sistemi

Autoři: Aytekin, Berke Ateş Ertekin Bolelli, Şeyda Department of Computer Engineering

Přispěvatelé: Aytekin, Berke Ateş Ertekin Bolelli, Şeyda Department of Computer Engineering

Témata: Recommendation systems, Personalization, Large language models, Hypernetworks, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks

Popis souboru: 91 pages; application/pdf

Relation: https://hdl.handle.net/11511/115578

Dostupnost: https://hdl.handle.net/11511/115578

Joint Temperature-Luminosity Classification of Stellar Spectra with a Distance-Aware Loss Function ; Mesafeye Duyarlı Kayıp Fonksiyonu ile Yıldız Spektrumlarının Ortak Sıcaklık-Parlaklık Sınıflandırması

Autoři: Sezen, Volga Temizel, Alptekin Department of Data Informatics

Přispěvatelé: Sezen, Volga Temizel, Alptekin Department of Data Informatics

Témata: Stellar Classification, 1D CNN, Morgan-Keenan Grid, Ordinal Classification, Distance Aware Loss, Arbis Subjects::Natural Sciences::Physics::Astronomy and Astrophysics::Stars, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/115569

Dostupnost: https://hdl.handle.net/11511/115569

Addressing Class Imbalance, Label Uncertainty, and Crispness in Edge Detection ; Kenar Tespitinde Sınıf Dengesizliği, Etiket Belirsizliği ve Kenar Keskinliğinin Ele Alınması

Autoři: Çetinkaya, Bedrettin Akbaş, Emre Kalkan, Sinan a další

Přispěvatelé: Çetinkaya, Bedrettin Akbaş, Emre Kalkan, Sinan a další

Témata: Edge Detection, Crisp Edge Detection, Ranking-based Losses, Label Uncertainty, Hyperbolic Embeddings, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/116165

Dostupnost: https://hdl.handle.net/11511/116165

Optimizing air conditioner system efficiency through reinforcement learning ; Pekiştirmeli öğrenme ile klima sistemlerinin verimliliğinin optimizasyonu

Autoři: Hekimoğlu, Mehmet Burak Schmidt, Klaus Werner Ulusoy, İlkay a další

Přispěvatelé: Hekimoğlu, Mehmet Burak Schmidt, Klaus Werner Ulusoy, İlkay a další

Témata: Reinforcement learning, Multi-agent systems, HVAC, Energy optimization, Indoor air quality, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/115653

Dostupnost: https://hdl.handle.net/11511/115653

Data analytics driven quadratic optimization for solving agent-debtor assignment in debt recovery problem ; Borç tahsil probleminde temsilci-borçlu atama çözümü için veri analitiği odaklı ikinci dereceden optimizasyon

Autoři: Karabaş, Toygun İyigün, Cem Department of Industrial Engineering

Přispěvatelé: Karabaş, Toygun İyigün, Cem Department of Industrial Engineering

Témata: Data analytics, Generative adverserial networks, Iterated local search, Constrained optimization, Debt recovery optimization, Arbis Subjects::Engineering and Technology::Industrial Engineering::Optimization Theory and Methods, Arbis Subjects::Engineering and Technology::Industrial Engineering::Optimization Theory and Methods::Heuristic Methods, Arbis Subjects::Engineering and Technology::Industrial Engineering::Optimization Theory and Methods::Integer and Mixed Integer Programming, Arbis Subjects::Engineering and Technology::Industrial Engineering::Optimization Theory and Methods::Linear Programming, Arbis Subjects::Engineering and Technology::Industrial Engineering::Optimization Theory and Methods::Nonlinear Programming, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks

Popis souboru: 95 pages; application/pdf

Relation: https://hdl.handle.net/11511/115647

Dostupnost: https://hdl.handle.net/11511/115647

Augmenting Clip-based few shot recognition using shapes and concepts ; Şekiller ve kavramlar kullanarak Clip tabanlı az örnekli tanımayı geliştirme

Autoři: Güder, Erce Akbaş, Emre Department of Computer Engineering

Přispěvatelé: Güder, Erce Akbaş, Emre Department of Computer Engineering

Témata: object recognition, image classification, few-shot learning, CLIP adaptation, deep learning, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Computer Learning and Pattern Recognition::Other

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/115645

Dostupnost: https://hdl.handle.net/11511/115645

Deep plug-and-play and unrolling approaches for phase retrieval ; Faz geri kazanımı için derin-öğrenme içeren koy-ve-oynat düzenlileştirmeye ve baştan uca eğitilerek açılmaya dayalı yaklaşımlar

Autoři: Külbay, Deniz Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Přispěvatelé: Külbay, Deniz Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Témata: Image reconstruction, Deep learning, Plug-and-play regularization, Phase retrieval, Algorithm unrolling, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/116071

Dostupnost: https://hdl.handle.net/11511/116071

Refurbished embeddings with integrated guidance networks for efficient context-length scaling ; Bağlam uzunluğunu verimli ölçeklemek için entegre rehber ağlarla yeniden düzenlenmiş temsiller

Autoři: Çavuşoğlu, Ali Devrim Ekin Akbaş, Emre Department of Computer Engineering

Přispěvatelé: Çavuşoğlu, Ali Devrim Ekin Akbaş, Emre Department of Computer Engineering

Témata: Long Document Embeddings, Contrastive Learning, Hierarchical Encoding, Guidance Networks, Document Retrieval, Large Context NLP, Token-Free Training, HDF5 Caching, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Text/Document Processing, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Natural Language Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/116043

Dostupnost: https://hdl.handle.net/11511/116043

ADAPTIVE PARAMETER OPTIMIZATION FOR REINFORCEMENT LEARNING-BASED SPARK JOB SCHEDULING ; Pekiştirmeli Öğrenme Tabanlı Spark İş Zamanlaması İçin Parametre Uyarlama

Autoři: Şen, Burak Manguoğlu, Murat Department of Computer Engineering

Přispěvatelé: Şen, Burak Manguoğlu, Murat Department of Computer Engineering

Témata: Reinforcement Learning, Spark Scheduling, Graph Neural Networks, Adaptive Optimization, Job Scheduling, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Arbis Subjects::Engineering and Technology::Computer Sciences::Algorithms::Distributed Systems

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/116039

Dostupnost: https://hdl.handle.net/11511/116039

Token interchangeability and alpha-equivalence: enhancing the generalization capacity of language models for formal logic ; Belirteç değiştirilebilirliği ve alfa-eşdeğerlilik: dil modellerinin biçimsel mantık için genelleme kabiliyetinin iyileştirilmesi

Autoři: Işık, İlker Cinbiş, Ramazan Gökberk Department of Computer Engineering

Přispěvatelé: Işık, İlker Cinbiş, Ramazan Gökberk Department of Computer Engineering

Témata: Machine learning, Formal methods, Language modeling, Linear temporal logic, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Automated Problem Solving, Theorem Proving and Logical Reasoning

Popis souboru: 65 pages; application/pdf

Relation: https://hdl.handle.net/11511/115558

Dostupnost: https://hdl.handle.net/11511/115558

TRAINING-FREE IMAGE-LEVEL AFFORDANCE DISCOVERY AND LABELING USING PRE-TRAINED DEEP NETWORKS ; ÖNCEDEN EĞİTİLMİŞ DERİN AĞLAR ÜZERİNDE EĞİTİM GEREKTİRMEYEN GÖRÜNTÜ DÜZEYİNDE SAĞLARLIK KEŞFİ VE ETİKETLEME

Autoři: Özçil, İsmail Koku, Ahmet Buğra Department of Mechanical Engineering

Přispěvatelé: Özçil, İsmail Koku, Ahmet Buğra Department of Mechanical Engineering

Témata: affordance, manifold curvature, subspace projection, deep learning, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Arbis Subjects::Engineering and Technology::Mechanical Engineering::Machine Theory and Dynamics::Robotics

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/114089

Dostupnost: https://hdl.handle.net/11511/114089

Minimally Supervised Tracking of Animal Colonies with Iteratively Trained Object Detectors ; Yinelemeli Eğitilen Nesne Algılayıcılar İle Hayvan Kolonilerinin Minimal Denetimli Takibi

Autoři: Gödelek, Oğuz Alemdar, Hande Department of Computer Engineering

Přispěvatelé: Gödelek, Oğuz Alemdar, Hande Department of Computer Engineering

Témata: Animal tracking, Computer vision, High-density object detection, Self-training, Knowledge distillation, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Neural Networks

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/113490

Dostupnost: https://hdl.handle.net/11511/113490

Bridging AI and Personalization: From Social Media Insights to Targeted Marketing ; Yapay Zeka ve Kişiselleştirme: Sosyal Medya İçgörülerinden Hedefli Pazarlamaya

Autoři: Çetinkaya, Yusuf Mücahit Toroslu, İsmail Hakkı Department of Computer Engineering

Přispěvatelé: Çetinkaya, Yusuf Mücahit Toroslu, İsmail Hakkı Department of Computer Engineering

Témata: AI-driven personalization, social media, targeted marketing, user segmentation, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Natural Language Processing, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Text/Document Processing, Computer Learning and Pattern Recognition::Human Computer Interaction

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/113348

Dostupnost: https://hdl.handle.net/11511/113348

Radar target detection under correlated non-Gaussian clutter using transfer learning ; Gauss olmayan ilintili kargaşa altında transfer öğrenmeyi kullanarak radar hedef tespiti

Autoři: Ürgüp, Mehmet Zeki Yılmaz, Ali Özgür Department of Electrical and Electronics Engineering

Přispěvatelé: Ürgüp, Mehmet Zeki Yılmaz, Ali Özgür Department of Electrical and Electronics Engineering

Témata: Target detection, Deep learning, Transfer learning, Non-Gaussian, Correlated clutter, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing, Communication and Control Engineering::Communication Engineering::Radar Theory, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/113378

Dostupnost: https://hdl.handle.net/11511/113378

Thermodynamics behavior prediction of nickel alloys at elevated temperatures with artificial intelligence ; Yapay zeka ile yüksek sıcaklıktaki nikel alaşımları için termodinamik davranışın tahmini

Autoři: Dinçer, Mehmet Şamil Sargın, Irmak Department of Metallurgical and Materials Engineering

Přispěvatelé: Dinçer, Mehmet Şamil Sargın, Irmak Department of Metallurgical and Materials Engineering

Témata: Bayesian Neural Network (BNN), Calculation of Phase Diagram (CALPHAD), High Throughput Calculation (HTC), Nickel-Based Superalloys, Arbis Subjects::Engineering and Technology::Metallurgical and Materials Engineering::Material science and engineering::Metallic Materials, Arbis Subjects::Engineering and Technology::Metallurgical and Materials Engineering::Other, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Uncertainity Management

Popis souboru: 77 pages; application/pdf

Relation: https://hdl.handle.net/11511/116631

Dostupnost: https://hdl.handle.net/11511/116631

MACHINE LEARNING BASED TRANSONIC FLOW COMPUTATIONS ON AIRCRAFT LIFTING SURFACES ; UÇAK TAŞIMA YÜZEYLERİNDEKİ TRANSONİK AKIŞLARIN MAKİNA ÖĞRENİMİ İLE HESAPLANMASI

Autoři: Gömeç, Fazıl Selçuk Baran, Özgür Uğraş Alemdar, Hande a další

Přispěvatelé: Gömeç, Fazıl Selçuk Baran, Özgür Uğraş Alemdar, Hande a další

Témata: Aircraft design, Machine learning, CFD, Arbis Subjects::Engineering and Technology::Aeronautical and Space Engineering::Aeronautical Engineering::Flight Sciences::Aerodynamics, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Arbis Subjects::Engineering and Technology::Mechanical Engineering::Thermodynamics::Computational fluid dynamics

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/110086

Dostupnost: https://hdl.handle.net/11511/110086

Fiducial marker detection and identification for individual honey bee tracking using cascaded deep learning models ; Ardışık derin öğrenme modelleri kullanarak bireysel arı takibi için güvenilir işaretçi tespiti ve çözümlenmesi

Autoři: Kara, Mustafa Yavuz Alemdar, Hande Department of Computer Engineering

Přispěvatelé: Kara, Mustafa Yavuz Alemdar, Hande Department of Computer Engineering

Témata: Visual recognition, Object detection, Data generation, Visual fiducial marker, Bee tracking, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Computer Sciences, Arbis Subjects::Engineering and Technology::Computer Sciences::Computer Vision, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Computer Learning and Pattern Recognition::Neural Networks

Popis souboru: 62 pages; application/pdf

Relation: https://hdl.handle.net/11511/113487

Dostupnost: https://hdl.handle.net/11511/113487

Efficient three-dimensional near-field imaging with physics-informed deep learning for MIMO radar ; Fizik tabanlı derin öğrenme teknikleri ile üç boyutlu yakın alan MIMO radar görüntüleme

Autoři: Oral, Okyanus Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Přispěvatelé: Oral, Okyanus Öktem, Sevinç Figen Department of Electrical and Electronics Engineering

Témata: 3D near-field MIMO radar imaging, Complex-valued reconstruction, Plug-and-play methods, Deep learning, Joint optimization, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Information Systems, Communication and Control Engineering::Signal Processing::Image and Video Processing, Communication and Control Engineering::Signal Processing::Pattern Recognition and Analysis, Communication and Control Engineering::Signal Processing::Signal Processing for Sensor Sequences, Communication and Control Engineering::Signal Processing::Signal Processing Theory and Methods, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition::Neural Networks, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing

Popis souboru: 90 pages; application/pdf

Relation: https://hdl.handle.net/11511/110033

Dostupnost: https://hdl.handle.net/11511/110033