9 papers
A Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN)
Florent Imbert, Tosin Adewumi, Hui Han
Accurate prediction of Remaining Useful Life (RUL) in aero-engines is vital for predictive maintenance, improved operational reliability, and reduced lifecycle costs. While deep le…
BatteryPass-12K: The First Dataset for the Novel Digital Battery Passport Conformance Task
Tosin Adewumi, Martin Karlsson, Lama Alkhaled +1
We introduce a novel task of digital battery passport (DBP) conformance classification and introduce the first public benchmark for the task: BatteryPass-12K, created synthetically…
On the Codesign of Scientific Experiments and Industrial Systems
Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84
The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…
From the Rock Floor to the Cloud: A Systematic Survey of State-of-the-Art NLP in Battery Life Cycle
Tosin Adewumi, Martin Karlsson, Marcus Liwicki +5
We present a comprehensive systematic survey of the application of natural language processing (NLP) along the entire battery life cycle, instead of one stage or method, and introd…
AI Must not be Fully Autonomous
Tosin Adewumi, Lama Alkhaled, Florent Imbert +3
Autonomous Artificial Intelligence (AI) has many benefits. It also has many risks. In this work, we identify the 3 levels of autonomous AI. We are of the position that AI must not…
On the Limitations of Large Language Models (LLMs): False Attribution
Tosin Adewumi, Nudrat Habib, Lama Alkhaled +1
In this work, we introduce a new hallucination metric - Simple Hallucination Index (SHI) and provide insight into one important limitation of the parametric knowledge of large lang…