F. Čuš

Achievements of sustainable manufacturing by machining

Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities?

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0

Tool condition monitoring for form milling of large parts by combining spindle motor current and acoustic emission signals

Vertical and horizontal integration systems in Industry 4.0

Literature review of Industry 4.0 and related technologies

Industry 4.0: state of the art and future trends

Internet of things and supply chain management: a literature review

Environmentally conscious machining of difficult-to-machine materials with regard to cutting fluids

A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools

Monitoring and Control of Manufacturing Processes: A Review

Steels for bearings

An ANN approach for predicting subsurface residual stresses and the desired cutting conditions during hard turning

Fault diagnosis of single-phase induction motor based on acoustic signals

Using specially designed high-stiffness burnishing tool to achieve high-quality surface finish

Impact of Industry 4.0 on supply chain performance

A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework

Biodegradable metals

Trends and research challenges in remanufacturing

Material-structure-performance integrated laser-metal additive manufacturing

Collaboration Mechanisms to Increase Productivity in the Context of Industrie 4.0

Additive manufacturing methods and modelling approaches: a critical review

The expected contribution of Industry 4.0 technologies for industrial performance

A hybrid finite element method–artificial neural network approach for predicting residual stresses and the optimal cutting conditions during hard turning of AISI 52100 bearing steel

An Industry 4.0 maturity model for machine tool companies

Model reference-based machining force and surface roughness control

Lean PLM - Information Technology Strategy for Innovative and Sustainable Business Environment

Surface roughness fuzzy inference system within the control simulation of end milling

Model of complex optimization of cutting conditions

A hybrid analytical-neural network approach to the determination of optimal cutting conditions

Prediction of Cutting Forces with Neural Network by Milling Functionally Graded Material

Fuzzy control strategy for an adaptive force control in end-milling

Lean PLM - Information Technology Strategy for Innovative and Sustainable Business Environment

Tokarenje visoko kvalitetnih aluminijevih legura uz minimalne troškove

Reverse Engineering of Parts with Optical Scanning and Additive Manufacturing