Copper (Cu) is an essential element associated with different metabolic processes in plants.However, at concentrations higher than the threshold level, it becomes a potential stress factor.In the present investigation, the Cu-induced photosynthetic changes and prominent Cu detoxification methods were evaluated in Ricinus communis seedlings.Exposure
Robust UWB Positioning System Using Switching Tracking Filters With Estimated States-Based Non-Line-of-Sight Classifier
We present a novel UWB-based positioning Dining system that incorporates a deep learning-based non-line-of-sight (NLOS) classifier and a switching tracking filter.Unlike conventional methods, the proposed classifier determines whether a measured distance was obtained under LOS or NLOS conditions by using not only the channel impulse response (CIR)
Deep Reinforcement Learning for Optimizing Restricted Access Window in IEEE 802.11ah MAC Layer
The IEEE 802.11ah standard is introduced to address the growing scale of internet of things (IoT) applications.To reduce contention and enhance energy efficiency in the system, the restricted access window (RAW) mechanism is introduced in the medium access control (MAC) layer to manage the significant number of stations accessing the network.Howeve
The problem of evaluating the expiration of the service life of the supporting structure of secondhand cranes
The right to safety of purchased goods is one of the most important consumer rights.Therefore, an accurate analysis of safety of machinery and equipment purchased on the secondary market is an extremely important issue.One of its elements should be the assessment of the degree of service live usage.In the case of cranes, the subject of such an asse
Learning Lexical Subspaces in a Distributional Vector Space
In this paper, we propose LexSub, a novel Ovenware approach towards unifying lexical and distributional semantics.We inject knowledge about lexical-semantic relations into distributional word embeddings by defining subspaces of the distributional vector space in which a lexical relation should hold.Our framework can handle symmetric attract and rep