Business intelligence transformation through AI and data analytics

EO Eboigbe, OA Farayola, FO Olatoye… - Engineering Science & …, 2023 - fepbl.com
This paper delves into the transformative role of Artificial Intelligence (AI) and Data Analytics
in the realm of Business Intelligence (BI), marking a significant shift in the landscape of …

[HTML][HTML] Predictive evaluation of solar energy variables for a large-scale solar power plant based on triple deep learning forecast models

I Jamil, H Lucheng, S Iqbal, M Aurangzaib… - Alexandria Engineering …, 2023 - Elsevier
The advanced development of large-scale solar power plants (LSSPs) has made it
necessary to improve accurate forecasting models for the output of solar energy. Solar …

Context-based sentiment analysis on customer reviews using machine learning linear models

A Chinnalagu, AK Durairaj - PeerJ Computer Science, 2021 - peerj.com
Customer satisfaction and their positive sentiments are some of the various goals for
successful companies. However, analyzing customer reviews to predict accurate sentiments …

[PDF][PDF] Hybrid Software Development Model Outcomes for In-House IT Team in the Manufacturing Industry

K Gautam, SK Yadav, K Kanhaiya… - International Journal of …, 2022 - academia.edu
This paper will help the IT team in the Manufacturing Industry to learn about the outcomes of
the newly developed hyrid software development model. The hybrid model is depended on …

A deep learning model of spatial distance and named entity recognition (SD-NER) for flood mark text classification

R Szczepanek - Water, 2023 - mdpi.com
Information on historical flood levels can be communicated verbally, in documents, or in the
form of flood marks. The latter are the most useful from the point of view of public awareness …

Uses of Data Fusion Technology for Establishing Scalable Data Solutions in the Marketing Sector

F Khoshbakht, J Kaur, J Hutagaol… - 2022 4th …, 2022 - ieeexplore.ieee.org
Data fusion involves code-free and fully managed data-integration service, which assists
users in marketing sector to manage and build ELT/ETL information pipelines. Data-fusion is …

Prediction of content success and cloud-resource management in internet-of-media-things environments

YS Lee, YS Lee, HR Jang, SB Oh, YI Yoon, TW Um - Electronics, 2022 - mdpi.com
In Internet-of-Media-Things (IoMT) environments, users can access and view high-quality
Over-the-Top (OTT) media services anytime and anywhere. As the number of OTT platform …

Smartphone-based unconstrained step detection fusing a variable sliding window and an adaptive threshold

Y Xu, G Li, Z Li, H Yu, J Cui, J Wang, Y Chen - Remote Sensing, 2022 - mdpi.com
Step detection for smartphones plays an important role in the pedestrian dead reckoning
(PDR) for indoor positioning. Aiming at the problem of low step detection accuracy of …

The Development of Intelligent Agents: A Case-Based Reasoning Approach to Achieve Human-Like Peculiarities via Playback of Human Traces

NA Butt, Z Mahmood, GU Rehman, MM Nasralla… - IEEE …, 2023 - ieeexplore.ieee.org
Recent advances in the digital gaming industry have provided impressive demonstrations of
highly skilful artificial intelligence agents capable of performing complex intelligent …

Assessing Urdu Language Processing Tools via Statistical and Outlier Detection Methods on Urdu Tweets

Zoya, S Latif, R Latif, H Majeed… - ACM Transactions on …, 2023 - dl.acm.org
Text pre-processing is a crucial step in Natural Language Processing (NLP) applications,
particularly for handling informal and noisy content on social media. Word-level tokenization …