Railways speedily transport many people and goods nationwide, so railway accidents can pose immense damage. However, the infrastructure of railways is complex that its maintenance challenging expensive. Therefore, using artificial intelligence for safety has attracted researchers. This paper examines applications safety, mainly focusing on deep learning approaches. first introduces methods wide...

Lupines (Lupinus spp.) have emerged as a cheap functional food with the advantages of being non-genetically modified crop, able to adapt harsh conditions and low-input farming. are rich in protein poor starch, similar soy. The factor limiting use lupine is presence quinolizidine alkaloids especially bitter species. Nevertheless, modern breeding programs ensured selection sweet species reduced a...

The rise in the number of workers gastronomy tourism has coincided with an increase workplace accidents. New lack hazard identification abilities and fail to recognize dangerous events workplace. Thus, a two-fold goal been established: (1) design develop VR applications for spotting risks kitchen workplace, (2) validate application's effectiveness. invention involved 360-degree camera software,...

In food sector, there is a huge demand for rapid, reliable, user & eco-friendly biosensors to analyse the quality and safety of food products. Biosensor based methodology depends upon the recognition of a specific antigens or receptors by corresponding antibodies, aptamers or high-affinity ligands. The first scientifically commercialised sensors were the electrochemical sensors used for the ana...

most accidents happens because of lack of visibility and not driver’s reaction on time whenan accident occurs. increasing required time for driver’s reaction caused to decreasingaccidents on roadways .intelligent vehicle networks brings enough time for reaction by sendingalert and alternate messages to vehicles on roadway. main propose in this paper is aroundmodulation on reception interval saf...

There are many performance based techniques that aim to improve the safety of neural networks for safety critical applications. However, many of these techniques provide inadequate forms of safety arguments required for safety assurance. As a result, neural networks are typically restricted to advisory roles in safety-related applications. Neural networks are appealing to use given their abilit...