A survey on missing data in machine learning
Abstract Machine learning has been the corner stone in analysing and extracting information
from data and often a problem of missing values is encountered. Missing values occur …
from data and often a problem of missing values is encountered. Missing values occur …
Improving sentiment analysis for social media applications using an ensemble deep learning language model
A Alsayat - Arabian Journal for Science and Engineering, 2022 - Springer
As data grow rapidly on social media by users' contributions, specially with the recent
coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand …
coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand …
[HTML][HTML] Deepfake tweets classification using stacked Bi-LSTM and words embedding
V Rupapara, F Rustam, A Amaar… - PeerJ Computer …, 2021 - peerj.com
The spread of altered media in the form of fake videos, audios, and images, has been
largely increased over the past few years. Advanced digital manipulation tools and …
largely increased over the past few years. Advanced digital manipulation tools and …
Antecedents and outcomes of social media fatigue
A Baj-Rogowska - Information Technology & People, 2023 - emerald.com
Purpose This study aims to explore which of four chosen factors (ie privacy concerns, FoMO,
self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of …
self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of …
The influence of different parameters on biomass gasification in circulating fluidized bed gasifiers
The mechanism of biomass gasification has been studied for decades. However, for
circulating fluidized bed (CFB) gasifiers, the impacts of different parameters on the gas …
circulating fluidized bed (CFB) gasifiers, the impacts of different parameters on the gas …
Unique algorithm for the evaluation of embryo photon emission and viability
Living cells have spontaneous ultraweak photon emission derived from metabolic reactions
associated with physiological conditions. The ORCA-Quest CMOS camera (Hamamatsu …
associated with physiological conditions. The ORCA-Quest CMOS camera (Hamamatsu …
A new approach to create a realistic virtual model of a cylindrical robot using Automation Studio
Industry 4.0 is mainly represented by the digitalization technologies of physical industrial
assets, thus obtaining the cyber-physical systems. A key role in digitalization develo** is …
assets, thus obtaining the cyber-physical systems. A key role in digitalization develo** is …
AutoCAD: examination of factors influencing user adoption
A Baj-Rogowska - Engineering Management in Production and …, 2020 - sciendo.com
The primary purpose of the research is to examine and validate determinants of user
intention to use AutoCAD software, utilising the constructs from prior studies in a more …
intention to use AutoCAD software, utilising the constructs from prior studies in a more …
[PDF][PDF] Qtid: Quran text image dataset
M Badry, H Hassan, H Bayomi… - … Journal Of Advanced …, 2018 - pdfs.semanticscholar.org
Improving the accuracy of Arabic text recognition in imagery requires a big modern dataset
as data is the fuel for many modern machine learning models. This paper proposes a new …
as data is the fuel for many modern machine learning models. This paper proposes a new …
[PDF][PDF] Loop optimization in managed code environments with expressions evaluated only once
A Piorkowski, M Zupnik - TASK Quarterly. Scientific Bulletin of …, 2010 - bibliotekanauki.pl
This paper is concerned with optimizing code execution in virtual machine environments.
Code motion is one of the many optimization techniques. We considered a special case of …
Code motion is one of the many optimization techniques. We considered a special case of …