Application of deep neural network for predicting river tide level

RI Rasel, MN Uddin, F Islam… - … on Innovations in …, 2018 - ieeexplore.ieee.org
In riverine countries like Bangladesh, residents have to depend on rivers for many things for
their daily life. If the river has river port or intercostals waterways or estuaries than it …

Decision Support for GSM Co-location using Machine Learning

K Amadasun, J Agajo - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Mobile phone communication systems is the fastest and easiest means of communication
globally due to it conveniency and effectiveness. Nigeria telecommunication market is …

Comparative Analysis of Regression and Neural Network Models on Students' Grades

V Gazivoda, L Filipović… - 2021 10th Mediterranean …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) is an important scientific area and applied science reality. It is being
used by numerous industries, its use is vast and now it seems endless. In this paper we use …

On reconstruction algorithms for signals sparse in Hermite and Fourier domains

M Brajovic - arXiv preprint arXiv:1909.07971, 2019 - arxiv.org
This thesis consists of original contributions in the area of digital signal processing. The
reconstruction of signals sparse (highly concentrated) in various transform domains is the …

[PDF][PDF] ANALIZA ALGORITAMA ZA REKONSTRUKCIJU SIGNALA RIJETKIH U HERMITSKOM I FURIJEOVOM TRANSFORMACIONOM DOMENU

M Brajovic - arXiv preprint arXiv:1909.07971, 2019 - researchgate.net
Neizmjerno sam zahvalan svom mentoru, prof. dr Milošu Dakovicu, na svesrdno pruženoj
pomoci, iskrenim savjetima, nemjerljivom stpljenju i dubokom razumijevanju, tokom svih …