crossrefApplied Sciences2024-03-13Cited by 17
Applications of Machine Learning and Computer Vision in Industry 4.0
Oto Haffner, Erik Kučera, Danica Rosinová
Among the most important economic activities of humankind is industry [...]
Oto Haffner, Erik Kučera, Danica Rosinová
Among the most important economic activities of humankind is industry [...]
Lukasz Pawlik, Jacek Lukasz Wilk-Jakubowski, Damian Frej, Grzegorz Wilk-Jakubowski
This review paper analyzes the recent applications of computational mechanics methods in combination with machine learning (ML) and neural network (NN) techniques, as found in the literature published between 2015 and 2024. We present how ML and NNs are enhancing traditional comp…
In-Seong Jeon, Sukjae Joshua Kang, Chan-Woung Jeong, Seunghyeon Kim, Seong-Joo Kang
This study presents an experimental platform that integrates computer vision and machine learning to support approximate pH estimation and endpoint detection in titration experiments for science education. A Raspberry Pi-based setup was used to capture real-time solution images,…
Damian Frej, Lukasz Pawlik, Jacek Lukasz Wilk-Jakubowski
Ensuring robust railway safety is paramount for efficient and reliable transportation systems, a challenge increasingly addressed through advancements in artificial intelligence (AI). This review paper comprehensively explores the burgeoning role of AI in enhancing the safety of…
Vaibhav Joshi, Sameer Sayyad, Arunkumar Bongale, Satish Kumar, Vivek Warke, R. Suresh
In modern manufacturing, milling and micromilling processes play a central role in precision production. However, rapid wear of cutting tools often leads to sudden tool breakage, unplanned downtime, and part rejection. Maintenance is therefore essential to ensure efficiency, safe…
Narjes Sadeghiamirshahidi, Seyedeh Elham Kamali, Bhavani Rath Reddy Dere
Machine learning (ML) has become a central enabler of data-driven decision-making across smart manufacturing, healthcare, finance, computer vision, robotics, and environmental sustainability. Despite the rapid growth of ML applications, existing review studies remain largely doma…
Zhijie Cao, Shantong Sun, Xu Bao
Agriculture is the foundational industry for human survival, profoundly impacting economic, ecological, and social dimensions. In the face of global challenges such as rapid population growth, resource scarcity, and climate change, achieving technological innovation in agricultur…