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Deep Reinforcement Learning-based Cooperative Survivability Maximization for a UAV Fleet on an Air-to-Ground Mission
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A Machine Learning Approach to Predict AdvancedMalware
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A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network
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A Literature Review on Machine Learning in The Food Industry
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Deep Learning Models for Physiological Data Classification of Children During Computerized Auditory Tests: Deep Learning-Based Emotion Recognition in Child-Computer Interaction
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Learning by Imitation and Implementation Of Sign Language Gestures by a Humanoid Robot
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Utilization of artificial intelligence in minimally invasive right adrenalectomy: recognition of anatomical landmarks with deep learning
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An Efficient Ensemble Deep Learning Approach for Semantic Point Cloud Segmentation Based on 3D Geometric Features and Range Images
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Integration of Optical Coherence Tomography Images and Real-Life Clinical Data for Deep Learning Modeling: A Unified Approach in Prognostication of Diabetic Macular Edema
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Inclusive Experiential Learning at Graduate Level Planning Studio: A Collaborative Governance Case
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"Engineerings meet the Social Sciences: The Possibilities and Challenges for Interdisciplinary Learning and Collaboration"
The Second EELISA Research-based Learning (RBL) Symposium, Pisa/İTALYA, 18 Mayıs 2023
ÇALKIVİK EMİNE ASLI
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Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR
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Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis
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Segmentation-aware MRI subsampling for efficient cardiac MRI reconstruction with reinforcement learning
IMAGE AND VISION COMPUTING, Vol. 150, Ocak 2024, s. 9, ISSN: 0262-8856
XU RURU,ÖKSÜZ İLKAY
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Deep Learning-Based Meniscus Tear Detection From Accelerated MRI
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Transfer learning for electricity price forecasting
SUSTAINABLE ENERGY GRIDS & NETWORKS, Vol. 34, Ocak 2023, s. 13, ISSN: 2352-4677
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Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study
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Analysis of Mining Lost Time Incident Duration Influencing Factors Through Machine Learning
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A MACHINE LEARNING FRAMEWORK FOR AUTOMATED GROUND MOTION PREDICTION
1st Croatian Conference on Earthquake Engineering, Zagreb/HIRVATİSTAN, 22 Mart 2021
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