Traditional voting systems mainly comprise of paper polling, electronic ballot system (EVM), mechanical devices, etc., and demand the physical presence of the voters.In the new age of digitization, the electronic voting system has come up with a unique facility to cast votes from any discreet place.However, the e-voting system has to face several c
Due to its many uses in areas including voice recognition, music analysis, and security systems, sound recognition has attracted a lot of attention.Convolutional neural networks (CNNs) have become a potent tool for sound recognition, producing cutting-edge outcomes in a variety of challenges.In Straight Bowl Set Of 4 this study, we will look at the
The quasi-synoptic view available from satellites has been Koozies broadly used in recent years to observe in near-real time the large-scale dynamics of marine ecosystems and to estimate primary productivity in the world ocean.However, the standard global NASA ocean colour algorithms generally do not produce good results in the Baltic Sea.In this p
Many repeated manual feature adjustments and much heuristic parameter tuning are required during the debugging of machine learning (ML)-based transient stability assessment (TSA) of power systems.Furthermore, the results produced by ML-based TSA are often not explainable.This paper handles both the automation and interpretability issues of ML-based
In the context of the relentless evolution of network and communication technologies, the need for enhanced communication content and quality continues to escalate.Addressing the demands of data collection from the abundance of terminals within Internet of Things (IoT) scenarios, this paper presents an advanced approach to multi-Unmanned Feminine S