Медицина и здравоохранение считается одной из самых перспективных областей применения искусственного интеллекта (далее –ИИ). Не так давно было установлено, что при использовании медицинских знаний у компетентного лица задействуется всего 10 % мировых знаний, когда ИИ использует все 100 % известной человечеству информации, имеющейся в мировой сети И...
В работе представлен новый метод, основанный на глубоком обучении для обнаружения повреждений на дорожном полотне по изображениям, сделанным с помощью смартфона, установленного на транспортном средстве. Для решения этой задачи была применена модель сверточной нейронной сети. Степень соответствия, полученная на анализе этих данных, подтверждает резу...
Нейронные сети как анализ накопленного человеческого опыта в искусстве стали настоящим нонсенсом. С их помощью творчество стало более инклюзивно и более не требует от человека особых навыков. В данной статье будут рассмотрены ключевые достижения нейросетей как инструментов в руках творцов. / Neural networks, as an analysis of accumulated human expe...
Published in International Journal of Computer Science in Sport
Automatic fault detection is a major challenge in many sports. In race walking, judges visually detect faults according to the rules. Hence, automatic fault detection systems will help a training of race walking without experts’ visual judgement. Some studies have attempted to use sensors and machine learning to automatically detect faults. However...
Published in International Journal of Computer Science in Sport
There is an ever-present need to objectively measure and analyze sports motion for the determination of correct patterns of motion for skill execution. Developments in performance analysis technologies such as inertial measuring units (IMUs) have resulted in enormous data generation. However, these advances present challenges in analysis, interpret...
Published in Current pharmaceutical design
Published in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Vertebral fractures (VFs) are the hallmark of osteoporosis, being one of the most frequent types of fragility fracture and an early sign of the disease. They are associated with significant morbidity and mortality. VFs are incidentally found in one out of five imaging studies, however, more than half of the VFs are not identified nor reported in pa...
Published in International Journal of Computer Science in Sport
The utilization of metrics such as expected goals (xG) has the potential to provide teams with a competitive edge. By incorporating xG into their analysis and decision-making processes, teams can gain valuable insights. This study proposes a new approach to football xG modeling using Kos Angle which represents the shooting angle, from which we subs...
Nickel silicidation process: Modelling of nickel deposition anddiffusion from silicide/silicon interfaces through ab initio calcu-lations and machine learning approachAlthough nickel-based silicide thin films are already used in many technolog-ical applications in microelectronics, their formation mechanisms are still farfrom being understood and c...
The C-Band radiometric signature of boreal forests is highly seasonal, with apparent correlations to temperature changes. Within these seasonal components, we assume that information related to tree height can be extracted. We apply a onedimensional Convolutional Neural Network to assess this assumption, intending to retrieve tree height measured b...
