Search Results - "CNN"

Doğadaki kuşlardan esinlenerek yapay zekâ yöntemleriyle renk paleti üretimi/ by Kayıpmaz, Yusuf

Advances on Broadband and Wireless Computing, Communication and Applications Proceedings of the 13th International Conference on Broadband and Wireless Computing, Communication and...

Table of Contents: “…Efficient Resource Allocation for Residential Smart Buildings using Integrated Cloud and Fog Environment in Smart Grid -- Cloud Computing Based Resource Allocation by Random Load Balancing Technique -- Shortest Job First Load Balancing Algorithm for Efficient Resource Management In Cloud -- Modified Shortest Job First for Load Balancing in Cloud-Fog Computing -- Big Data Analytics for Price and Load Forecasting in Smart Grids -- A Fuzzy-based System for Actor Node Selection in WSANs Considering Load Balancing of Actors -- Evaluation of Object-based Information Flow Control in P2PPS Systems -- Flexible Resource Management for Raft Clusters -- Integration of CNN and Faster R-CNN for Tire Bubble Defects Detection -- Privacy Mining from IoT-based Smart Homes -- Cooperation for Rechargeable Heterogeneous Sensor Networks.…”
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Intelligent Interactive Multimedia Systems and Services 2017

Table of Contents: “…Hand-designed local image descriptors vs. off -the-shelf CNN-based features for texture classification: an experimental comparison -- Images selection and best descriptor combination for multi-shot person re-identification -- Dimensionality reduction strategies for CNN-based classification of histopathological images -- Optimizing multiresolution segmentation for extracting plastic greenhouses from WorldView-3 imagery -- Greenhouse detection using aerial orthophoto and digital surface model -- A recommender system for multimedia art collections -- Autonomous systems research embedded in teaching -- Educational assessment: Pupils' experience in primary school (Arabic grammar in 7th year in Tunisia) -- Approximate algorithm for multi-source skyline queries on decentralized remote spatial databases -- Evaluation of the criteria and indicators that determine quality in higher education: a questionnaire proposal -- Toward a Personalized recommender system for learning activities in the context ofMOOCs. .…”
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Advances in Physical Agents Proceedings of the 19th International Workshop of Physical Agents (WAF 2018), November 22-23, 2018, Madrid, Spain /

Table of Contents: “…Semantic localization of a robot in a real home -- Kalman Filter -- Self-Driving a Car in simulation through a CNN -- Study of obstacle avoidance strategies for efficient autonomous.…”
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Uzun kısa süreli bellek (LSTM) kullanarak İstanbul ve civarı için deprem eğilimi tahmini / by Karakuş, Yasin

Recent Trends in Signal and Image Processing Proceedings of ISSIP 2018 /

Table of Contents: “…Assessment of UWAC System Performance using FBMC Technique -- Pyramid Based Multi-scale Enhancement Method for Iris Images -- Fuzzy based Classification for Fusion of Palmprint and Iris Biometric Traits -- Employing FPGA Accelerator in Real-time Speaker Identification Systems -- Character Recognition from Handwritten Image using Convolutional Neural Networks -- Malignant Melanoma Classification using Cross Platform Dataset with Deep Learning CNN Architecture -- Simple Exponential Smoothing and its Control Parameter: A Reassessment -- Quantum Inspired BAT Optimization Algorithm for Automatic Clustering of Gray Scale Images -- Face Detection and Expression Recognition using Haar - Cascade Classifier and Fisherface Algorithm.…”
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Yapay zeka tabanlı araç koltuğu tanıma sisteminin geliştirilmesi/ by Badem, Ali İhsan

Türkçe metinlerde farklı temsil modelleri ve öğrenme yöntemleri ile duygu analizi karşılaştırması/ by Marangoz, Kadriye

Derin öğrenme/ by Yılmaz, Atınç

Artificial Intelligence and Robotics

Table of Contents: “…-Design of Palm Acupuncture Points Indicator --  Low-rank Representation and Locality-constrained Regression for Robust Low-Resolution Face Recognition -- Face Recognition Benchmark with ID Photos -- Scene Relighting using a Single Reference Image through Material Constrained Layer Decomposition -- Applying Adaptive Actor-critic Learning to Human Upper Lime Lifting Motion -- A Demand-based Allocation Mechanism for Virtual Machine -- A Joint Hierarchy Model for Action Recognition Using Kinect -- QoS-Based Medical Program Evolution -- An Improved 3D Surface Reconstruction Method based on Three Wavelength Phase Shift Profilometry -- The Research on the Lung Tumor Imaging based on the Electrical Impedance Tomography -- Combining CNN and MRF for Road Detection -- The Increasing of Discrimination Accuracy of Waxed Apples based on Hyperspectral Imaging Optimized by Spectral Correlation Analysis -- A Diffeomorphic Demons Approach to Statistical Shape Modeling.…”
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Recent Developments in Intelligent Computing, Communication and Devices Proceedings of ICCD 2017 /

Table of Contents: “…Interactive Browsing of Large Image Repositories -- Study on Total Factor Productivity of Nanshan District in Shenzhen -- Review of Domestic and Foreign Research on the Elderly's Use of Mobile Phones -- Research on Face Detection Based on Fast R - CNN -- KCF Tracking Algorithm Based on Outlier Detection -- Salmon Migration Optimization: A Novel Nature-Inspired Algorithm -- Lyapunov Inequality for Conformable Fractional Equation -- Integrated Simulation Design of UAV System -- Population Prediction Based on the Multi-Models and Comparison Research -- A Method of Time-frequency Analysis and Feature Extracts of Microseism Signal -- A Statistical Translation Approach by Network Model -- A Method for Identifying Microseism Signals Based on Data Mining -- Survey on fractality in Complex Networks -- Sound Detection and Alarm System of Unmanned Aerial Vehicle -- Student Learning Simulation Process with Petri Nets -- The Digital Measures for Protection and Heritage of Dongba Culture -- Application of ImprovedWavelet Neural Network in Traffic Prediction of Smart Substation.…”
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Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples. by Mas�is, Serg

Table of Contents: “…-- Local interpretation for a single prediction at a time using LimeTabularExplainer -- Using LIME for NLP -- Training a LightGBM model -- Local interpretation for a single prediction at a time using LimeTextExplainer -- Trying SHAP for NLP -- Comparing SHAP with LIME -- Mission accomplished -- Summary -- Dataset sources -- Further reading -- Chapter 6: Anchors and Counterfactual Explanations -- Technical requirements -- The mission -- Unfair bias in recidivism risk assessments -- The approach -- The preparations -- Loading the libraries -- Understanding and preparing the data -- The data dictionary -- Examining predictive bias with confusion matrices -- Data preparation -- Modeling -- Getting acquainted with our "instance of interest" -- Understanding anchor explanations -- Preparations for anchor and counterfactual explanations with alibi -- Local interpretations for anchor explanations -- Exploring counterfactual explanations -- Counterfactual explanations guided by prototypes -- Counterfactual instances and much more with WIT -- Configuring WIT -- Datapoint editor -- Performance &amp -- Fairness -- Mission accomplished -- Summary -- Dataset sources -- Further reading -- Chapter 7: Visualizing Convolutional Neural Networks -- Technical requirements -- The mission -- The approach -- Preparations -- Loading the libraries -- Understanding and preparing the data -- Data preparation -- Inspect data -- The CNN models -- Load the CNN model.…”
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Deep Learning-Based Face Analytics. by Ratha, Nalini K.

Table of Contents: “…7.7.2 IJB-A -- 7.7.3 IJB-B -- 7.7.4 IJB-C -- 7.8 Open Issues -- 7.9 Conclusion -- References -- 8 Evolution of Newborn Face Recognition -- 8.1 Introduction -- 8.1.1 Biometric Modalities for Newborns -- 8.1.2 Characteristics and Challenges of Newborn Face Recognition -- 8.2 Datasets for Newborn Face Recognition -- 8.2.1 Newborns Face Database -- 8.2.2 Newborns, Infants, and Toddler Longitudinal Face Database -- 8.2.3 Children Multimodal Biometric Database (CMDB) -- 8.3 Existing Techniques for Newborn Face Recognition -- 8.3.1 Handcrafted Feature Extraction Methods -- 8.3.2 Autoencoder Learning-Based Method -- 8.3.3 Class-Based Penalty in CNN Filter Learning -- 8.3.4 Learning Structure and Strength of CNN Filters -- 8.4 Results and Analysis of Existing Newborn Face Recognition Techniques -- 8.5 Conclusion -- References -- 9 Deep Feature Fusion for Face Analytics -- 9.1 Introduction -- 9.2 Feature Aggregation for Face Recognition -- 9.2.1 Metadata-Based Feature Aggregator Network (M-FAN) -- 9.2.2 Architecture -- 9.2.3 Gradient Backpropagation -- 9.2.4 Batch Training -- 9.2.5 Experiment Setup -- 9.2.6 Results on IJB-A -- 9.2.7 Results on Janus CS4 -- 9.3 Feature Enhancement for Facial Action Unit Recognition -- 9.3.1 Multi-modal Conditional Feature Enhancement (MCFE) -- 9.3.2 Feature Extraction -- 9.3.3 Deep Feature Enhancement -- 9.3.4 Training MCFE for AU Recognition -- 9.3.5 Datasets for Experimental Analysis -- 9.3.6 Experiment Settings -- 9.3.7 Results -- 9.4 Conclusion -- References -- 10 Deep Learning for Video Face Recognition -- 10.1 Introduction -- 10.2 Traditional Methods -- 10.3 Existing Deep Learning-based Approaches -- 10.3.1 Pairwise Distance-Based Methods -- 10.3.2 Pooling-Based Methods -- 10.4 Neural Aggregation Network -- 10.4.1 Feature Embedding Module -- 10.4.2 Aggregation Module -- 10.4.3 Network Training -- 10.5 Experiments.…”
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Intelligent Engineering Informatics Proceedings of the 6th International Conference on FICTA /

Table of Contents: “…Real Time Sign Language Gesture (Word) Recognition from Video Sequences Using CNN and RNN -- 65. Application of Soft Computing in Crop Management -- 66. …”
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Advances in Computational Intelligence Systems Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK /

Table of Contents: “…On the Integrity of Performance Comparison for Evolutionary Multi-objective Optimisation Algorithms -- The Influence of Age Assignments on the Performance of Immune Algorithms -- Evolutionary Constraint in Artificial Gene Regulatory Networks -- Exploiting Tournament Selection for Efficient Parallel Genetic Programming -- Solving Partial Differential Equations with Bernstein Neural Networks -- Daily Energy Price Forecasting Using a Polynomial NARMAX Model -- Model Selection in Time Series Forecasting -- Fuzzy Modeling for Uncertain Nonlinear Systems using Fuzzy Equations and Z-numbers -- Medical Expert Systems - A Study of Trust and Acceptance by Healthcare Stakeholders -- Agent Based Micro-Simulation of a Passenger Rail System Using Customer Survey Data -- Fintech Bitcoin Smart Investment based on the Random Neural Network with a Genetic Algorithm -- Generating ANFISs through Rule Interpolation: An Initial Investigation -- Disentangling the Latent Space of (Variational) Autoencoders for NLP -- A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection -- Learning from Interaction: An Intelligent Networked based Human-bot and Bot-bot Chatbot System -- A Study on CNN Transfer Learning for Image Classification -- Dendritic Cell Algorithm with Fuzzy Inference System for Input Signal Generation -- A Method of Abstractness Ratings for Chinese Concepts -- Effective Diagnosis of Diabetes with a Decision Tree-initialised Neuro-fuzzy Approach -- A Comparison of Re-sampling Techniques for Pattern Classification in Imbalanced Data-Sets -- Classification of Heterogeneous Data Based on Data Type Impact on Similarity -- Clustering-based Fuzzy Finite State Machine for Human Activity Recognition -- Deep Online Hierarchical Unsupervised Learning for Pattern Mining from Utility Usage Data -- Online Object Trajectory Classification using FPGA-SoC Devices -- Key Frame Extraction and Classification of Human Activities using Motion Energy -- A Comprehensive Obstacle Avoidance System of Mobile Robots Using an Adaptive Threshold Clustering and the Morphin Algorithm -- Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks -- Mining Unit Feedback to Explore Students' Learning Experiences -- Dimension Reduction Based on Geometric Reasoning for Reducts -- Anomaly Detection in Activities of Daily Living using One-Class Support Vector Machine -- Towards Active Muscle Pattern Analysis for Dynamic Hand Motions via SEMG -- A Novel Crossings-based Segmentation Approach for Gesture Recognition.…”
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Tekstil üretiminde derin öğrenme tabanlı otomatik hata tespit sistemi/ by Metin, Ahmet

Intelligent Systems and Applications Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 2 /

Table of Contents: “…A Case Study Evaluation -- Framework to Predict and Identify Wandering Behavior in Individuals with Alzheimer‟s using Physiological and Kinect Sensors -- Semantic Modelling of Smart Healthcare Data -- Framework to Predict Bipolar Episodes -- Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network -- Classification of Cardiotocography Signals using Machine Learning -- Face Symmetry Analysis using a Unified Multi-task CNN for Medical Applications -- EVE: A Combined Physical-Digital Interface for Insomnia Sleep Diary -- Edge Computing for Low Delay to Cache andTransfer Electronic Medical Records -- Digital Exchange Communication System for Children and Youths with Autism -- Machine Learning Infused Preventive Healthcare for High-Risk Outpatient Elderly -- Data Domains Modeling Situationally Determined Evaluation.…”
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Intelligent and Fuzzy Techniques : Proceedings of the INFUS 2020 Conference, Istanbul, Turkey, July 21-23 2020. by Kahraman, Cengiz

Table of Contents: “…3 Determination of the Criteria -- 3.1 Economic Criteria (C1) -- 3.2 Quality Criteria (C2) -- 3.3 Social Criteria (C3) -- 3.4 Environmental Criteria (C4) -- 4 Spherical Fuzzy Analytic Hierarchy Process (SFAHP) -- 5 Prioritization of the Criteria -- 6 Conclusion -- References -- Estimation and Prediction -- Estimating Shopping Center Visitor Numbers Based on Various Environmental Indicators -- Abstract -- 1 Introduction -- 2 Background -- 3 Case Study -- 3.1 Data Sources -- 3.2 Data Models for Predictive Analysis -- 3.3 Data Models Evaluation -- 4 Discussion -- 5 Conclusion and Future Research -- References -- Predicting Customers' Next-to-Be Purchased Products -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing -- 2.2 Predictive Features -- 3 Conclusion -- References -- Estimating Breathing Levels of Asthma Patients with Artificial Intelligence Methods -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Adaptive Neural Network Based Fuzzy Inference System (ANFIS) -- 2.2 Min-Max Normalization -- 2.3 Dataset Preparation -- 2.4 ANFIS Prediction Model -- 2.5 Artificial Neural Networks (ANN) -- 3 Results and Discussion -- 4 Conclusion -- References -- The Problem of Selection with the Fuzzy Axiomatic Design of MEMS Based Sensors in Industry 4.0 Predictive Maintenance Process -- Abstract -- 1 Introduction -- 2 Material and Method -- 2.1 Predictive Maintenance -- 3 MEMS - Micro Electro Mechanical Systems -- 4 Axiomatic Design -- 4.1 Introduction to Axiomatic Design Methodology -- 4.2 Axiomatic Design Method with Fuzzy Numbers -- 5 Application of Fuzzy Axiomatic Design on the MEMS -- 6 Conclusion and Future Work -- References -- Fuzzy Based Noise Removal, Age Group and Gender Prediction with CNN -- Abstract -- 1 Introduction -- 2 Face Recognition -- 3 Method -- 3.1 Fuzzy Logic -- 3.2 Convolutional Neural Network (CNN).…”
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Proceedings of International Conference on Computer Vision and Image Processing CVIP 2016, Volume 2 /

Table of Contents: “…Deep Gesture: Static Hand Gesture Recognition using CNN -- Chapter 42. A Redened Codebook Model for Dynamic Backgrounds -- Chapter43. …”
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Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models. by Kapoor, Amita

Table of Contents: “…Multiple and multivariate linear regression using the TensorFlow Keras API -- Classification tasks and decision boundaries -- Logistic regression -- Logistic regression on the MNIST dataset -- Summary -- References -- Chapter 3: Convolutional Neural Networks -- Deep convolutional neural networks -- Local receptive fields -- Shared weights and bias -- A mathematical example -- ConvNets in TensorFlow -- Pooling layers -- Max pooling -- Average pooling -- ConvNets summary -- An example of DCNN: LeNet -- LeNet code in TF -- Understanding the power of deep learning -- Recognizing CIFAR-10 images with deep learning -- Improving the CIFAR-10 performance with a deeper network -- Improving the CIFAR-10 performance with data augmentation -- Predicting with CIFAR-10 -- Very deep convolutional networks for large-scale image recognition -- Recognizing cats with a VGG16 net work -- Utilizing the tf.Keras built-in VGG16 net module -- Recycling pre-built deep learning models for extracting features -- Deep Inception V3 for transfer learning -- Other CNN architectures -- AlexNet -- Residual networks -- HighwayNets and DenseNets -- Xception -- Style transfer -- Content distance -- Style distance -- Summary -- References -- Chapter 4: Word Embeddings -- Word embedding ‒ origins and fundamentals -- Distributed representations -- Static embeddings -- Word2Vec -- GloVe -- Creating your own embeddings using Gensim -- Exploring the embedding space with Gensim -- Using word embeddings for spam detection -- Getting the data -- Making the data ready for use -- Building the embedding matrix -- Defining the spam classifier -- Training and evaluating the model -- Running the spam detector -- Neural embeddings - not just for words -- Item2Vec -- node2vec -- Character and subword embeddings -- Dynamic embeddings -- Sentence and paragraph embeddings.…”
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