In this paper, we propose a data-driven framework for collaborative wideband spectrum sensing and scheduling for networked unmanned aerial vehicles (UAVs), which act as secondary users (SUs) to opportunistically utilize detected “spectrum holes”.Our overall framework consists of three main stages.Firstly, in the model training stage,
Propionate is an important platform chemical that is available through petrochemical synthesis.Bacterial propionate formation is considered an alternative, as bacteria can convert waste substrates into valuable products.In this regard, research primarily focused on propionibacteria Nibbles Tray due to high propionate titers achieved from different
The effects of wood species and panel connections on the vibration and heavy-weight impact sound insulation performance of cross-laminated timber (CLT) slabs were investigated.CLT panels (5-ply, 150 mm thick, 1 m wide, and 4.2 m Yoga Gear long) made of larch (Larix kaempferi) and pine (Pinus densiflora) were manufactured with 30 mm thick laminae, c
Deep learning technologies, due to their SUPREME IMMUNE BOOSTER advanced pattern extraction and recognition of high-dimensional data, have been widely adopted into multisensor-based fire detection systems.Since deep learning approaches can generate erroneous predictions due to incomplete training datasets, a retraining process over unseen observati
Early warning systems are responsible for monitoring crisis situations and generating warning signals of situations Wood + Bamboo Toys which escalate and pose a threat to international and human security.The application of this instrument often determines the success of preventive measures and efficiency of further crisis management.Being aware of