Sentence examples for soft recognition from inspiring English sources

The wake-up call, from failed industry to pensions financing, has been violent; the gradual and soft recognition of the structural nature of the crisis has made it more difficult for the French to accept the brutality of some of the reforms needed: old industry closures, tax increases, and deep changes in the decades-old social contract.

We call this method "soft recognition" of latent periodic noise which should be applied if minor improvements in sequence coverage (in rare cases, a single additional peptide) are more important than data size reduction; yet, it leads to an increment of about 10% of the computation time compared with the previous method [ 24].

In this study, a model reconstruction soft computing recognition algorithm based on genetic algorithm-support vector regression (GA-SVR) is proposed to achieve the reliability of the FBG-based sensor system.

His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence and quantum computing.

In the management of health workers, they implement a balanced bundle of management practices that includes both clear goal setting, role distribution and task monitoring (hard HRM) and training, support and recognition (soft HRM).

One of their really striking pieces is This and that thought, a minimalist, interactive website which employs the soft-spoken speech recognition cyborg lady from the good old days of floppy discs and beige-toned bubble monitors.

This soft material, which inhibits recognition by macrophages and fibrous deposition, exhibits long-term stability after in vivo injection.

The Bank rightly gets a lot of credit for its growing recognition that "soft" issues such as governance and institutions are fundamental to economic growth and the reduction of poverty.

Two pattern recognition algorithms: Soft Independent Modeling of Class Analogies (SIMCA) and Principal Component Modified Bootstrap Error-adjusted Single-sample Technique (PC-MBEST) were evaluated for qualitative analysis of NIR blending data.

Unfortunately, most skin structures surrounding the tail fin were lost during collecting and/or initial preparation of the specimen before the recognition that soft tissues were preserved.

The softer language reflected a recognition of China's efforts to free up the yuan's exchange rate.