A COARSE-TO-FINE MODEL FOR AIRPLANE DETECTION FROM LARGE REMOTE SENSING IMAGES USING SALIENCY MODLE AND DEEP LEARNING

A COARSE-TO-FINE MODEL FOR AIRPLANE DETECTION FROM LARGE REMOTE SENSING IMAGES USING SALIENCY MODLE AND DEEP LEARNING

High resolution remote sensing images are bearing the important strategic information, especially finding some time-sensitive-targets quickly, like airplanes, ships, and cars.Most of time the problem firstly we face is how to rapidly judge whether a particular target is included in a large random remote sensing image, instead of detecting them on a

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Diagnostics of stabilization modes of shape strand ropes

The work is devoted to the diagnostic issues of the possibilities of technological balancing of steel shaped strand ropes of lifting and transport equipment, which is of great scientific and practical importance, since it will improve their performance.A literature review showed that this topic is practically not covered Stroller Accessories and on

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Towards self-recovering construction schedules: a new method for periodically updating project plans and optimizing recovery actions

It is common for a construction schedule to deviate from its original-planned baseline, as uncertainty is inherent in all construction activities.Accordingly, planners are required to perform periodic schedule updates that learn from retrospective progress to more accurately schedule remaining Scissors activities and draw optimum recovery plans.Thi

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Lead us not into tanktation: a simulation modelling approach to gain insights into incentives for sporting teams to tank.

Annual draft systems are the principal method used by teams in major sporting leagues to recruit amateur players.These draft systems frequently take one of three forms: a lottery style draft, a weighted draft, or a reverse-order draft.Reverse-order drafts can create incentives for Lamps teams to deliberately under-perform, or tank, due to the perce

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