Accurate and timely monitoring of pests is an effective way to minimize the negative effects of pests in agriculture.Since deep learning-based methods have achieved good performance Body Scrub in object detection, they have been successfully applied for pest detection and monitoring.However, the current pest detection methods fail to balance the re
Healing and treatment of chronic wounds are often complicated due to biofilm formation by pathogens.Here, the efficacy of plasma activated water Body Wear (PAW) as a pre-treatment strategy has been investigated prior to the application of topical antiseptics polyhexamethylene biguanide, povidone iodine, and MediHoney, which are routinely used to tr
Optical spectroscopic analysis of the chemical composition of milk in its natural state is complicated by a complex colloidal structure, represented by differently sized fat and protein particles.The classical techniques of HAT molecular spectroscopy in the visible, near-, and mid-infrared ranges carry only bulk chemical information about a sample,
Non-invasive Brain-Computer Interfaces (BCI) have demonstrated great promise for neuroprosthetics and assistive devices.Here we aim to investigate methods to combine Electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS) in an asynchronous Sensory Motor rhythm (SMR)-based BCI.We attempted to classify 4 different executed mov