[PDF][PDF] Artificial intelligence and the future of web 3.0: Opportunities and challenges ahead

JP Bharadiya - American Journal of Computer Science and …, 2023 - researchgate.net
Artificial Intelligence (AI) has emerged as a key driver of innovation in the digital era, offering
new possibilities for the development of Web 3.0. Web 3.0 represents the next evolution of …

[PDF][PDF] Machine learning and AI in business intelligence: Trends and opportunities

JP Bharadiya - International Journal of Computer (IJC), 2023 - researchgate.net
The integration of machine learning and artificial intelligence (AI) in business intelligence
has brought forth a plethora of trends and opportunities. These cutting-edge technologies …

[PDF][PDF] A comparative study of business intelligence and artificial intelligence with big data analytics

JP Bharadiya - American Journal of Artificial Intelligence, 2023 - researchgate.net
Business intelligence systems give important and competitive information to business
planners and decisionmakers by combining operational and historical data with analytical …

RRIFLoc: Radio robust image fingerprint indoor localization algorithm based on deep residual networks

S Deng, W Zhang, L Xu, J Yang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Indoor localization is one of the most exciting research areas due to the increasing demand
for location-based services (LBSs) in indoor environments. The fingerprint positioning …

At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence

A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …

[PDF][PDF] Digital Educational Coordination System (DECS)

D Ghelani - 2022 - researchgate.net
The physical classroom learning nowadays is no longer applicable for the current younger
generations (Gen Y). Internet and distance learning which is generally known as online …

[HTML][HTML] An Indoor Fingerprint Positioning Algorithm Based on WKNN and Improved XGBoost

H Lu, L Zhang, H Chen, S Zhang, S Wang, H Peng… - Sensors, 2023 - mdpi.com
Considering the low indoor positioning accuracy and poor positioning stability of traditional
machine-learning algorithms, an indoor-fingerprint-positioning algorithm based on weighted …

VITAL: Vision transformer neural networks for accurate smartphone heterogeneity resilient indoor localization

D Gufran, S Tiku, S Pasricha - 2023 60th ACM/IEEE Design …, 2023 - ieeexplore.ieee.org
Wi-Fi fingerprinting-based indoor localization is an emerging embedded application domain
that leverages existing Wi-Fi access points (APs) in buildings to localize users with …

Heterogeneous device resilient indoor localization using vision transformer neural networks

D Gufran, S Tiku, S Pasricha - Machine Learning for Indoor Localization …, 2023 - Springer
Wi-Fi fingerprinting-based indoor localization is an emerging embedded application domain
that leverages existing Wi-Fi access points (APs) in buildings to localize users with …

SANGRIA: Stacked autoencoder neural networks with gradient boosting for indoor localization

D Gufran, S Tiku, S Pasricha - IEEE Embedded Systems Letters, 2023 - ieeexplore.ieee.org
Indoor localization is a critical task in many embedded applications, such as asset tracking,
emergency response, and realtime navigation. In this article, we propose a novel …