ENHANCED OCCUPATIONAL SAFETY IN AGRICULTURAL MACHINERY FACTORIES: ARTIFICIAL INTELLIGENCE-DRIVEN HELMET DETECTION USING TRANSFER LEARNING AND MAJORITY VOTING

The objective of this study was to develop an artificial intelligence (AI)-driven model for the detection of helmet usage among workers in tractor and agricultural machinery factories with the aim of enhancing occupational safety.A transfer learning approach was employed, campicon.com utilizing nine pre-trained neural networks for the extraction of

Chronic Bee Paralysis Virus (CBPV), a widespread honey bee RNA virus, causes massive worker bee losses, mostly in strong colonies.Two different syndromes, with paralysis, ataxia and flight incapacity on one hand and black hairless individuals with shortened abdomens on the socialstudiesscholar.com other, can affect a colony simultaneously.This case

We introduce a new mechanism for call trailmaster challenger 200x auctions which are widely used in stock exchanges.Our unique design incorporates contingent claims (buy stock A, if selling stock B) into the price discovery process.With our proposed mechanism, we show that higher liquidity during the call auctions is achieved, as well as lower vola