Extraction of chemical formulas from images was not in the top priority of Computer Vision tasks for a while. The complexity both on the input and prediction sides has made this task challenging for the conventional Artificial Intelligence and Machine Learning problems. A binary input image which might seem trivial for convolutional analysis was not easy to classify, since the provided sample was not representative of the given molecule: to describe the same formula, a variety of graphical representations which do not resemble each other can be used. Considering the variety of molecules, the problem shifted from classification to that of formula generation, which makes Natural Language Processing (NLP) a good candidate for an effective solution. This paper describes the evolution of approaches from rule-based structure analyses to complex statistical models, and compares the efficiency of models and methodologies used in the recent years. Although the latest achievements deliver ideal results on particular datasets, the authors mention possible problems for various scenarios and provide suggestions for further development.
Nowadays, the coaches of various sports disciplines use analytical tools to process
the game data, analyze the behavior of their team, individual players, and build efficient strategies based on the strength and weaknesses of the competitors. Considering its global scope, time limitation, complexity of tasks, ranking, and medals, IOI can also be considered as an intellectual sports contest. With the direct relation to Information Technology and sports, the statistics of the IOI contests need to be analyzed to deliver better results, initate changes in the preparation strategy and increase the quality of the event as well. This paper provides a statistical analysis based on the last on-site IOI and shares insights on each of them.
This Article describes the work principles of the mobile platform based system of the printed text recognition and vocalization. The device consists of a camera-embedded mobile phone and special software for the recognition and speech synthesis of the Azerbaijani text. The offered device can be used for example, as a source of the information for visually impaired persons.
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