… Chip’s manual is the book we deserve and the one we need right … an important addition to
the canon of machine learning … ML-based pricing optimization is most suitable for cases with …

… , using analytics and machine learning to harness insights from … Moreover, the alignment or
integration of the workflows and … : finding an optimal production schedule and managing the …

… IoT has reshaped our lives and has become an integral part of our … , to find optimum threshold
values in radio channel … These issues constraints the data ownership or control over the …

… and machine learning to improve resource management … and memory that the VM’s owner
requested for it. Entire platform … , so the VM scheduler must be optimized for high throughput. …

… -of-the-art machine learning (ML) technologies are integral in … The aim and objective of
this study: Right now, ML is … Gradient-based optimization, and bound optimization Maximum …

… Planning, management, and control are key aspects, requiring an integrated approach,
starting from the identification of the most critical components and of the significant failures and …

… We identify several important aspects of integrating … [137] propose a deep RL (DRL)-based
routing optimization mechanism, … data partitions based on identity and granted access rights. …

… ) approach, were deployed for control of an integrated heat … the machine learning model used
for finding an optimal strategy, … The thermal comfort settings used by the building owner are …

… important Industry 4.0 fields, namely the smart grid, where ML and DL models are presented
and analyzed in … The integration of new data collection and analysis methods, such as the …

… the application of machine learning and optimization methods. … Circular integration: vertical
and horizontal integrations are … , a warning, a critical alarm or even an optimal planning and …