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ORCIDSMARTINDUSTRY 2024: Lviv, Ukraine
- Nataliya Shakhovska, Andy T. Augousti, Solomiia Liaskovska, Olga Duran:
Proceedings of the 1st International Conference on Smart Automation & Robotics for Future Industry (SMARTINDUSTRY 2024), Lviv, Ukraine, April 18-20, 2024. CEUR Workshop Proceedings 3699, CEUR-WS.org 2024
Session 1: Smart Automation & Robotics for Future Industry
- Nataliya Shakhovska, Jaime Campos:
Predictive Maintenance for Wind Turbine Bearings: An MLOps Approach with the DIAFS Machine Learning Model. 1-14 - Alexandr Trunov:
Development of an Artificial Intelligence Tool and Sensing in Informatization Systems of Mobile Robots. 15-31 - Ivan Izonin, Ali Gamra, Oleslav Boychuk, Jelena Ninic, Roman Tkachenko, Stergios Aristoteles Mitoulis:
PCA-NuSVR Framework for Predicting Local and Global Indicators of Tunneling-induced Building Damage. 32-46 - Nataliya Shakhovska, Dmytro Liaskovsky, Andy T. Augousti, Solomiia Liaskovska, Yevgen Martyn:
Design and Deployment of Data Development Toolkit in Cloud Manufacturing Environments. 47-56 - Nataliya Boyko, Petro Telishevskyi, Sotirios Argyroudis:
Research and Development of Image Processing Algorithms for Effective Recognition of Various Gestures in Real Time. 57-69 - Lesia I. Mochurad, Viktoriia Babii, Michal Gregus:
Machine Learning Models for the Recognition of Commands in Smart Home Technologies. 70-87 - Paulo Bruno Rossi da Silva, Bernardo Farrero, Arthur Marangoanha Silva, Pedro Babo, Luis Frolen Ribeiro:
Responsive Dehydration: Sensor-driven Optimisation of Production Cycles in a Solar Dehydrator. 88-99 - Alexander Trunov:
Formation of the Method of Description and Control of the Relative Position of the Links of the Upper Limbs of the Grip of an Anthropomorphic Robot. 100-110 - Liliia Hebryn-Baidy, Gareth Rees:
Machine Learning Algorithms Evaluated for Urban Land Use and Land Cover Classification Using Sentinel 2 Data. 111-121 - Olena Pavliuk, Myroslav Mishchuk, Mykola Medykovskyy, Rafal Cupek:
A Two-Stage Feature Selection Method for Neural Network Predictive Models for AGV. 122-137 - Solomiia Liaskovska, Vitalii Mil, Olga Duran, Yevgen Martyn, Oleksandr Pshenychny:
Efficient Collision Detection and Trajectory Validation Approach in Static Scenes Using Deep Neural Networks. 138-149 - Oleh Tomashevskyy, Oleh Basystiuk, Nataliya Kryvinska:
Machine Learning for Business Process Automation. 150-160 - Danylo Borovyk, Roman Fedoniuk, Andrii Oliinyk, Sergey Subbotin, Tetiana Kolpakova:
Detection of Vehicles in Aerial Photographs Using Convolutional Neural Network. 161-179 - Vitaliy Korendiy, Oleksandr Kachur, Andy Augousti, Olena Lanets:
Optimizing the Structural Parameters of the Robotic System to Ensure the Efficiency and Reliability of Work in the Production Environment. 180-197 - Ala Kamal Rashid, Oguz Findik:
Sentiment Analysis of Twitter: Turkey Earthquake 2023 Case. 198-208 - Abhishek Pandey, V. Ramesh:
Cloud Cultivation: Optimizing Agricultural Automation Practices through Deep Learning. 209-217
Session 2: Artificial Intelligence for the Future of Construction
- Ivan Izonin, José M. Peña, Antonio LaTorre:
Artificial Intelligence for the Future of Construction - abstract.
Session 3: Cobots and Industrial Robots
- Solomiia Liaskovska:
Cobots and Industrial Robots - abstract.
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