Research on Chest Disease Recognition Based on Deep Hierarchical Learning Algorithm.

Chest X-ray has become one of the most common ways in diagnostic radiology exams, and this technology assists expert radiologists with finding the patients at potential risk of cardiopathy and lung diseases. However, it is still a challenge for expert radiologists to assess thousands of cases in a short period so that deep learning methods are introduced to tackle this problem. Since the diseases have correlations with each other and have hierarchical features, the traditional classification scheme could not achieve a good performance.

Research on the optimized route of cold chain logistics transportation of fresh products in context of energy-saving and emission reduction.

With the level of science and technology, the logistics industry is paying more and more attention to sustainable development. However, the current cold chain logistics industry generally has problems such as backward refrigeration technology, irrational distribution management, and outdated equipment, which make its energy consumption serious and cause severe carbon emission effects on the environment. Optimizing the carbon emission structure of the cold chain logistics industry is the top priority for ensuring the sustainable development of the logistics industry.