[HTML][HTML] Exploring the challenges of remote work on Twitter users' sentiments: From digital technology development to a post-pandemic era

JR Saura, D Ribeiro-Soriano, PZ Saldaña - Journal of Business Research, 2022 - Elsevier
The boost in the use and development of technology, spurred by COVID-19 pandemic and
its consequences, has sped up the adoption of new technologies and digital platforms in …

ElStream: An ensemble learning approach for concept drift detection in dynamic social big data stream learning

A Abbasi, AR Javed, C Chakraborty, J Nebhen… - IEEE …, 2021 - ieeexplore.ieee.org
With the rapid increase in communication technologies and smart devices, an enormous
surge in data traffic has been observed. A huge amount of data gets generated every …

Social media users' opinions on remote work during the COVID-19 pandemic. Thematic and sentiment analysis

S Wrycza, J Maślankowski - Information Systems Management, 2020 - Taylor & Francis
ABSTRACT COVID-19 raised the interest in remote work tremendously. In this article, the
phenomenon of this increase was assessed, by analyzing tweets on Twitter. It turned out …

[HTML][HTML] Machine learning assisted cervical cancer detection

M Mehmood, M Rizwan, M Gregus ml… - Frontiers in public …, 2021 - frontiersin.org
Cervical malignant growth is the fourth most typical reason for disease demise in women
around the globe. Cervical cancer growth is related to human papillomavirus (HPV) …

[HTML][HTML] Blockchain and ANFIS empowered IoMT application for privacy preserved contact tracing in COVID-19 pandemic

B Aslam, AR Javed, C Chakraborty… - Personal and …, 2021 - ncbi.nlm.nih.gov
Life-threatening novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), also
known as COVID-19, has engulfed the world and caused health and economic challenges …

Hybridization of ResNet with YOLO classifier for automated paddy leaf disease recognition: An optimized model

G Ganesan, J Chinnappan - Journal of Field Robotics, 2022 - Wiley Online Library
Paddy is the most significant crop utilized by more than 2.6 billion people. The paddy crops
are affected by various diseases that are unidentified and reduced the production of crop …

Optimized face detector-based intelligent face mask detection model in IoT using deep learning approach

RAS Naseri, A Kurnaz, HM Farhan - Applied Soft Computing, 2023 - Elsevier
The growth of the “Internet of Medical Things (IoMT)” allows for the collection and processing
of data in healthcare systems. At the same time, it is challenging to study the requirements of …

A smart solution for tomato leaf disease classification by modified recurrent neural network with severity computation

A Sreedevi, C Manike - Cybernetics and Systems, 2024 - Taylor & Francis
The artificial intelligence-assisted deep learning approach plays a significant task in
identifying diseases through a large set of plant leaf images. Thus, the major aim of the …

Design of hybrid dental caries segmentation and caries detection with meta-heuristic-based ResneXt-RNN

AR Kumari, SN Rao, PR Reddy - Biomedical Signal Processing and Control, 2022 - Elsevier
The early identification of dental caries is necessary for corresponding treatments and the
above reason, the bitewing radiography is utilized to offer initial caries detection. In clinical …

Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory

MA Elashiri, A Rajesh, SN Pandey, SK Shukla… - … Signal Processing and …, 2022 - Elsevier
Skin diseases are considered to be a common disease in human, which have many invisible
dangers that may reduce the self-confidence and causes certain psychological depression …