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ORCIDSPA 2024: Poznan, Poland
- Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024, Poznan, Poland, September 25-27, 2024. IEEE 2024, ISBN 978-83-62065-48-6
- Adam Dabrowski:
Basis change, projection, and relative linear algebra tricks in signal and image processing. 13-18 - Nick Petrovsky, Maxim Vashkevich:
Quaternionic multilayer bottleneck autoencoder for color image compression. 19-23 - Ewelina Rosiak, Artur Klepaczko:
Transfer learning in application to semantic segmentation of 3D indoor scenes scanned with a depth camera. 24-29 - Rana Lotfy, Mohamed Gabr, Eyad Mamdouh, Amr Aboshousha, Wassim Alexan, Dina El-Damak, Abdallah Fathy, Marvy Badr Monir Mansour:
Image Encryption Based on Chen Chaotic System, OpenSSL S-Box and the Fibonacci Q-Matrix. 30-35 - Hubert Szolc, Karol Desnos, Tomasz Kryjak:
Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs. 36-41 - Ivo Petrás:
Mittag-Leffler Filter and Its Application in Bio-signals Processing. 42-47 - Musa Karayigit, Oguzhan Erdem, Hüseyin Güdücüoglu:
Artificial Intelligence Based Antibiotic Zone Measurement For Disk Diffusion. 48-53 - Muhammad Farhan Safdar, Piotr Palka, Ahmed Al-Faresi, Robert Marek Nowak:
Optimizing Electrocardiogram Signal Augmentation for Realistic Synthetic Data in Deep Learning Model. 54-59 - Muhammad Ahsan, Dariusz Bismor, Pawel Fabis:
Comparison of ANN and CNN models for misfire detection in vehicle engine at different RPMs with low-cost ADXL1002 accelerometer. 60-65 - Jakub Suder, Tomasz Marciniak:
Foreign Object Debris detection at aerodromes using YOLOv5. 66-71 - Kacper Podbucki, Tomasz Marciniak:
Camera-based light source localization for precise luminous intensity measurement of airport lamps. 72-78 - Jing Jie Tan, Anissa Mokraoui, Ban-Hoe Kwan, Danny Wee-Kiat Ng, Yan Chai Hum:
Siamese-Driven Optimization for Low-Resolution Image Latent Embedding in Image Captioning. 79-84 - Julian Balcerek, Pawel Pawlowski, Krzysztof Dolny, Julia Skotnicka:
Automatic recognition of emergency vehicles in images from video recorders. 85-90 - Julian Balcerek, Pawel Pawlowski, Julia Cierpiszewska, Lukasz Kus, Piotr Zborowski:
Automatic recognition of dangerous objects in front of the vehicle's windshield. 91-96 - Wiktor Nowacki, Dominik Golemberski, Piotr Góral, Adam Dabrowski:
Prototype of mobile agrotechnical sorting robot with a vision system. 97-101 - Tomasz Marciniak, Agnieszka Stankiewicz:
Influence of Histogram Equalization on Multi-Classification of Retinal Diseases in OCT B-scans. 102-108 - Bianca-Alexandra Zîrna, Denis Mihailovschi, Alin Alexandru Serban, Madalin Corneliu Frunzete:
Design of a Portable EMG and ECG Signal-Based System for Upper Limb Recovery Using Data Compression. 109-114 - Baran Atbas, Efe Calsskan, Oguzhan Erdem:
AI-Supported Pneumonia Diagnosis: Performance of Deep Learning Models and Synthetic Data Generation. 115-120 - Adnan Elahi, Danilo Comminiello, Sara Marceglia:
Robust Framework for the detection of Alzheimer's Disease via analysis of Spontaneous Speech Signals. 121-126 - Ilke Kurt, Sezer Ulukaya, Oguzhan Erdem, Sibel Güler, Cem Uzun:
Shannon Wavelet Entropy-based Machine Learning Applications in Parkinson's Disease Diagnosis with Videonystagmography. 127-131 - Bastián Estay Zamorano, Ali Dehghan Firoozabadi, Alessio Brutti, Pablo Adasme, David Zabala-Blanco, Pablo Palacios Játiva, Cesar A. Azurdia-Meza:
Detection and Classification of Cardiovascular Diseases Using Neural Networks. 132-137 - Maciej Szczodrak, Jozef Kotus, Piotr Szczuko, Grzegorz Szwoch:
Leveraging Activation Maps for Improved Acoustic Events Detection and Classification. 138-143 - Merav Arogeti, Etan Fisher, Dima Bykhovsky:
Sound Analysis of Drop Characteristics by Evaluation of Impact on Water Pool. 144-148 - Farah Hamed, Mohamed Gabr, Eyad Mamdouh, Amr Aboshousha, Wassim Alexan, Dina El-Damak, Abdallah Fathy, Marvy Badr Monir Mansour:
Memristive Coupled Neural Network Based Audio Signal Encryption. 149-154 - Tomasz Grzywalski, Dick Botteldooren:
Automatic re-labeling of Google AudioSet for improved quality of learned features and pre-training. 155-160 - Nur Banu Hanci, Ilke Kurt, Sezer Ulukaya, Oguzhan Erdem, Sibel Güler, Cem Uzun:
Hybrid Voice Spectrogram-Chromogram Based Deep Learning (HVSC-DL) Model for the Detection of Parkinson's Disease. 161-165 - Tomasz Grzywalski, Dick Botteldooren, Yanjue Song, Nilesh Madhu:
Salient sound extraction using deep neural networks predicting complex masks. 166-171 - Deepthi Kattula, P. Rajesh Kumar, Praveen B. Choppala:
Multiple sampling with reduced resampling for particle filtering. 172-176 - Bianca-Alexandra Zîrna, Denis Mihailovschi, Madalin Corneliu Frunzete:
EMG Signal Acquisition and Processing for Muscle Contraction Classification. 177-182 - Alin Alexandru Serban, Madalin Frunzete:
Traffic flow models and statistical analysis using compressed data from acquisition module. 183-187 - Solomon Habtamu Tessema, Dariusz Bismor, Roman Wyzgolik:
Advanced Signal Processing Techniques for Plasma-MAG Welding Process. 188-193 - Karolina Bronczyk, Michal Adamski, Agata Dabrowska, Adam Konieczka, Adam Dabrowski:
Electrochemical determination of pollutants from various passenger car engines. 194-199 - Karolina Bronczyk, Michal Adamski, Agata Dabrowska, Adam Konieczka, Adam Dabrowski:
Accuracy and cross-sensitivity analysis of the PMS5003 formaldehyde sensor. 200-204 - Damian Jankowski, Przemyslaw Scibiorek, Sebastian Szwaczyk, Zbigniew Piotrowski, Pawel Kaczmarek:
Effective Application of the Big Data Techniques in the Internet Resource Processing System. 205-210
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