SMARTINDUSTRY 2024
Smart Automation & Robotics for Future Industry 2024

Table of Contents

• Preface
  Summary: There were 28 papers submitted for peer-review to this conference. Out of these, 16 papers were accepted for this volume, 14 as regular papers and 2 as short papers.

Session 1: Smart Automation & Robotics for Future Industry

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

Session 2: Artificial Intelligence for the Future of Construction

• Artificial Intelligence for the Future of Construction - abstract
  Ivan Izonin, Jose M Peña, Antonio LaTorre

Session 3: Cobots and Industrial Robots

• Cobots and Industrial Robots - abstract
  Solomiia Liaskovska