please re-write the following text with an academic style:
RADAR has many advantages over a lot of existing systems. However, its disadvantages are also significant.
1.	Models are not up to date. Although those models are still powerful, they can hardly get SOTA results. In fact, the system integrated with the latest technology is crucial to win the trust of our customers.
2.	Models are sensitive to un-stationarity, complex and shifting trends and noises in the time series data. This causes significant prediction bias for RADAR service.
3.	Models’ efficiency is unsatisfying. The models in RADAR are relatively simple. It takes very short time to train a model for one customer. However, The trained model can only meet the needs of a specific time series and can hardly be generalized. Since there are tens of thousands potential customers of RADAR, model training will be very computation exhaustive. This also leads low efficiency in real time streaming detection with industrial big data.
By employing the latest depth learning technologies, RADAR can overcome the existing problems