Opportunistic networks are one of the most popular categories of mobile Adhoc networks.These types of networks usually have to deal with intermittent disconnected path from source to the destination most of the time therefor suffers from numerous key challenges for successful custody transfer to be done between encounter nodes.There are numerous ch
A novel predictive model for estimation of cell voltage in electrochemical recovery of copper from brass: Application of gene expression programming
Regarding the high corrosion resistance of brass in sulfuric acid, its leaching process is the most important step in hydrometallurgical recovery of brass scraps.In this study, the electrochemical dissolution of brass chips in sulfuric acid has been investigated.The electrochemical cell voltage depends on various parameters.Regarding the complexity
A Backdoor Attack Against LSTM-Based Text Classification Systems
With the widespread use of deep learning system in many applications, the adversary has strong incentive to explore vulnerabilities of deep neural networks and manipulate them.Backdoor attacks against deep neural networks have been reported to be a new type of threat.In this attack, the adversary will inject backdoors into the GIFTS model and then
Social Networking Addiction among Health Sciences Students in Oman
Objectives: Addiction to social networking sites (SNSs) is an international issue with numerous methods of measurement.The impact of such addictions among health science students is of particular concern.This study aimed to measure SNS addiction rates among health sciences students at Sultan Qaboos University (SQU) in Muscat, Oman.Methods: In April