As the herd has moved too far from its original habitat, and Yunnan has entered the rainy season making it difficult to cross rivers, it is extremely unlikely that the herd will return to its original habitat at any time soon, said Zhang Li, a field wildlife biologist and professor at Bei...
In the early 1990s, during the design phase of the Compact Muon Solenoid (CMS) experiment, considerable emphasis was placed on the identification and measurement of high-energy electrons, photons and muons, as these particles were expected to play an important role in the search for the SM Higg...
Within object detection tasks, this translates into more precise identification of small or densely placed objects, as well as improved handling of obstructions and overlaps28. The process of GAM is illustrated in Fig. 2, and it is mathematically represented by Eqs. (1) and (2). The input ...
In the field of environmental sciences, for the estimation of vulnerability, the understanding of the processes that can be fruitful to investigate in between the different typologies of land degradation (caused both by anthropic factors and natural processes) is possible by using multi-sourced data ...
Learning calculates these features using an optimization algorithm. It is very suitable for large-scale data sets and has better accuracy [138]. As depicted in Fig.6, we explore the four deep-learning techniques in IoT security. Table5summarizes the reviewed articles in the field of deep ...
Key to the continued growth of data volume over the next 10 years is the so-called 'internet of things', also referred to as the 'internet of everything' (IoE). New technologies – for example, radio frequency identification (RFID)2 and near-field communication (NFC)3 – are increasingly...
This paper uses the MC-BERT model from the Chinese medical field to perform word embedding operations on the training data to better learn the medical texts' content information. The structure of the MC-BERT model is the same as that of the BERT model, but different pretraining methods and ...
AR is the ideal technology to display hazard information to construction workers, e.g. [110]. Park and Kim [132] presented an AR framework that enables workers to improve identification of field safety risks, improve risk recognition, and enhance real-time communication between the construction ...
2. Individual recognition is also important in the field of wildlife biology, where images of specific body features are systematically used to differentiate between individuals of the same species. For example, repeated photo-identification of pigment patterns and appendage shape on individuals of ...
However, there is substantial evidence that demonstrates that the recognition rates for depression are extremely low in routine primary care practice in LMICs [38] and training of existing primary healthcare workers does not lead to a sustainable increase in identification of depression in primary ...