Recent advances in machine learning, coupled with low-cost computation, availability of
cheap streaming sensors, data storage and cloud technologies, has led to widespread multi …

Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

The development of the Internet of Things, cloud computing, and artificial intelligence has
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …

For efficient process control and monitoring, accurate real-time information of quality
variables is essential. To predict these quality (or slow-rate) variables at a fast-rate, in the …

Transformer neural networks have revolutionized natural language processing by effectively
addressing the vanishing gradient problem. This study focuses on applying Transformer …

While machine learning (ML) has made significant contributions to the biopharmaceutical
field, its applications are still in the early stages in terms of providing direct support for quality …

The manuscript addresses the problem of developing a modelling strategy that can
accurately capture the dynamics of a non-linear batch process, demonstrated on a uni-axial …

Protein A capture chromatography, which forms the core of the mAb purification platform,
demands cautious use and maximum resin utilization due to high cost associated with resin …

With the rise of deep learning, there has been renewed interest within the process industries
to utilize data on large-scale nonlinear sensing and control problems. We identify key …

Industrial IoT (IIoT) has revolutionized production by making data available to stakeholders
at many levels much faster, with much greater granularity than ever before. When it comes to …