The relevance of the research is caused by the transformation of the methodology for substantiating the development of energy from centralized state planning to a new paradigm for multilateral decision-making and the creation of mechanisms for their implementation in terms of multi-criteria, multiplicity of conflicting interests, uncertainty of ini
Abstract Background Studies of malaria in well-defined cohorts offer important data about the epidemiology of this complex disease, but few have been done in urban African populations.To generate a sampling frame for a longitudinal study of malaria incidence and treatment in Kampala, Uganda, a census, mapping and survey project was conducted.Method
Underwater simultaneous localization and mapping (SLAM) poses significant challenges for esab miniarc rogue modern visual SLAM systems.The integration of deep learning networks within computer vision offers promising potential for addressing these difficulties.Our research draws inspiration from deep learning approaches applied to interest point de