Amir Yelenov

The identification of breakthrough topics and emerging technologies has been of interest to the governments of many countries and the scientific community since the last century. This study presents the status and trend of the research field through a comprehensive review of relevant publications, a new look at the problem of defining the term "emergent technologies," defining boundaries between similar terms; and a modern baseline method on the citation prediction subtask for the discovery of… Show more

The identification of breakthrough topics and emerging technologies has been of interest to the governments of many countries and the scientific community since the last century. This study presents the status and trend of the research field through a comprehensive review of relevant publications, a new look at the problem of defining the term "emergent technologies," defining boundaries between similar terms; and a modern baseline method on the citation prediction subtask for the discovery of emergent technologies. The outcomes of this technique have demonstrated the significance of features that characterize the preceding 1-year, 2-year, and 3-year citation counts, as well as their impact on the quality of neural network and random forest models. Our hypothesis, however, that author-specific measures may enhance prediction results was not supported. We ascribe this difficulty to the dimensionality curse. The authors examined methodological elements of research and technological development; consequently, it is important to note that, from a technical viewpoint, theoretical research is far from complete due to the vast variety of projects, outstanding challenges, research questions, and market assumptions. Finding more input characteristics to improve the quality of predictions and switching from classification to regression may also improve the precision of the suggested baseline model. Show less

Natural language processing (NLP) field has been developing rapidly recently. This article consists mainly of literature review of the basic understanding and solving the causality problem in natural language processing field. Existing models may benefit from the concept of causality because conventional language models are brittle and spurious. Incorporating the principle of causality could assist in resolving this issue. Since this issue affects seriously on the accuracy value of NLP methods… Show more

Natural language processing (NLP) field has been developing rapidly recently. This article consists mainly of literature review of the basic understanding and solving the causality problem in natural language processing field. Existing models may benefit from the concept of causality because conventional language models are brittle and spurious. Incorporating the principle of causality could assist in resolving this issue. Since this issue affects seriously on the accuracy value of NLP methods and algorithms, it is worth paying attention to. Content of the article includes the authors who have been covered this topic and have made researches respecting mentioned problem, the results that have been achieved, the methods and approached that have been used and the data that was used in researches. Show less

Current Transformer architecture falls behind in terms of the computational complexity of its attention mechanism, namely being O(N^2 ). That problem leads to this model being unable to efficiently work with long sequences. There were a lot of attempts which tries to deal with this problem. In this paper, we considered the most up-to-date methods and how these methods compare to each other in different tasks. We address their limitations and how well they perform, and which ones are most… Show more

Current Transformer architecture falls behind in terms of the computational complexity of its attention mechanism, namely being O(N^2 ). That problem leads to this model being unable to efficiently work with long sequences. There were a lot of attempts which tries to deal with this problem. In this paper, we considered the most up-to-date methods and how these methods compare to each other in different tasks. We address their limitations and how well they perform, and which ones are most versatile and could be used as a base for future works. Show less

Haptic interfaces allow a more realistic experience with Virtual Reality (VR). They are used to manipulate virtual objects. These objects can be rigid and soft. In this letter, we have designed and evaluated a vibrotactile hand-held device (VibeRo) to achieve haptic cues of different soft objects. The proposed method is based on combining the vision-driven displacement produced by the pseudo-haptics effect with the haptic illusion of a limb displacement obtained from force-driven synthesis of… Show more

Haptic interfaces allow a more realistic experience with Virtual Reality (VR). They are used to manipulate virtual objects. These objects can be rigid and soft. In this letter, we have designed and evaluated a vibrotactile hand-held device (VibeRo) to achieve haptic cues of different soft objects. The proposed method is based on combining the vision-driven displacement produced by the pseudo-haptics effect with the haptic illusion of a limb displacement obtained from force-driven synthesis of vibration of a contact surface. VibeRo features a voice-coil actuator and force-sensitive resistors for generating squeeze forces at fingertips. We present an evaluation of VibeRo's pseudo-haptic and haptic illusion effects to render soft virtual objects. The efficacy of the approach was validated in experiments with human subjects. Show less