2nd International Congress of Electrical and Computer Engineering 1st Edition by Muhammet Nuri Seyman- Ebook PDF Instant Download/Delivery: 9783031527593, 3031527593
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Product details:
ISBN 10: 3031527593
ISBN 13: 9783031527593
Author: Muhammet Nuri Seyman
This proceedings presents the papers included in the 2nd International Congress of Electrical and Computer Engineering (ICECENG), which took place in Bandirma, Turkey, 22-25 November 2023. The conference aims to bring together researchers, developers, and students in computing, technology trends, artificial intelligence, and security who are interested in studying the application of formal methods to the construction and analysis of models describing technological processes at both micro and macro levels. ICECENG’23 also aims to provide a platform for discussing the issues, challenges, opportunities, and findings of computer engineering research. The conference seeks to provide some answers and explore the processes, actions, challenges, and outcomes of learning and teaching.
Table of contents:
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Model Agnostic Knowledge Transfer Methods for Sentence Embedding Models
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Prediction of Heart Attack Risk with Data Mining by Using Blood Tests and Physical Data
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Forecasting the Number of Passengers in Rail System by Deep Learning Algorithms
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Viola–Jones Method for Robot Vision Purpose: A Software Technical Review
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Comparing ChatGPT Responses with Clinical Practice Guidelines for Diagnosis, Prevention, and Treatment of Diabetes
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ML-Based Optimized Route Planner for Safe and Green Virtual Bike Lane Navigation
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Pre-Trained Variational Autoencoder Approaches for Generating 3D Objects from 2D Images
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Enhancing Ground Vehicle Route Planning with Multi-Drone Integration
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Breast Cancer Diagnosis from Histopathological Images of Benign and Malignant Tumors Using Deep Convolutional Neural Networks
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Enhancing Skin Lesion Classification with Ensemble Data Augmentation and Convolutional Neural Networks
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Open-Source Visual Target-Tracking System Both on Simulation Environment and Real Unmanned Aerial Vehicles
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Semi-supervised Deep Learning for Liver Tumor and Vessel Segmentation in Whole-Body CT Scans
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Legacy Versus Algebraic Machine Learning: A Comparative Study
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Comparison of Textual Data Augmentation Methods on SST-2 Dataset
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Machine Learning-Based Malware Detection System for Android Operating Systems
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A Comparative Study of Malicious URL Detection: Regular Expression Analysis, Machine Learning, and VirusTotal API
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An Efficient Technique Based on Deep Learning for Automatic Focusing in Microscopic System
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Parallel Modeling of Complex Dynamic Systems in the Vector-Matrix Form
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A Smart Autonomous E-Bike Fail-Safe System
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Parallel Implementation of Discrete Cosine Transform (DCT) Methods on GPU for HEVC
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Mathematical Models and Methods of Observation and High-Precision Assessment of the Trajectories Parameters of Aircraft Movement in the Infocommunication Network of Optoelectronic Stations
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German-Ukrainian Research and Training Center for Parallel Simulation Technology
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Methods of Biometric Authentication for Person Identification
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Exploring Influencer Dynamics and Information Flow in a Local Restaurant Social Network
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DSP Runtime Emulator on FPGA: Implementation of FIR Filter Using Neural Networks
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A Real-Time Adaptive Reconfiguration System for Swarm Robots
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Optimal Feature Selection Using Harris Hawk Optimization for Music Emotion Recognition
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Comparative Analysis of EEG Sub-band Powers for Emotion Recognition
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Tags: Muhammet Nuri Seyman, International Congress, Electrical, Computer Engineering