Federated learning for smart cities: A comprehensive survey

S Pandya, G Srivastava, R Jhaveri, MR Babu… - Sustainable Energy …, 2023 - Elsevier
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …

[HTML][HTML] A survey of explainable artificial intelligence for smart cities

AR Javed, W Ahmed, S Pandya, PKR Maddikunta… - Electronics, 2023 - mdpi.com
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …

[Retracted] Real‐Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques

AP Rodrigues, R Fernandes, A Shetty… - Computational …, 2022 - Wiley Online Library
In this modern world, we are accustomed to a constant stream of data. Major social media
sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to …

[HTML][HTML] Energy efficient clustering protocol for FANETS using moth flame optimization

S Bharany, S Sharma, S Bhatia, MKI Rahmani… - Sustainability, 2022 - mdpi.com
FANET (flying ad-hoc networks) is currently a trending research topic. Unmanned aerial
vehicles (UAVs) have two significant challenges: short flight times and inefficient routing due …

Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms

H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …

Cloud assisted Internet of things intelligent transportation system and the traffic control system in the smart city

C Liu, L Ke - Journal of Control and Decision, 2023 - Taylor & Francis
Presently, most smart cities face massive traffic issues every day. The smart cities' significant
challenge is the traffic control system, wherein some places are automated and cost …

A survey on energy efficiency in underwater wireless communications

KY Islam, I Ahmad, D Habibi, A Waqar - Journal of Network and Computer …, 2022 - Elsevier
Underwater wireless communication (UWC) networks have attracted substantial attention in
recent years. UWC can facilitate critical emerging services including communications for …

[HTML][HTML] Artificial intelligence-based ensemble learning model for prediction of hepatitis C disease

MO Edeh, S Dalal, IB Dhaou, CC Agubosim… - Frontiers in Public …, 2022 - frontiersin.org
Machine learning algorithms are excellent techniques to develop prediction models to
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …

Secure and scalable healthcare data transmission in IoT based on optimized routing protocols for mobile computing applications

E Refaee, S Parveen, KMJ Begum… - Wireless …, 2022 - Wiley Online Library
The Internet of Things (IoT) has impacted various aspects of life, but its profound effects on
the health sector are particularly striking because of its cutting‐edge nature. Mobile …

ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs

T Khan, K Singh, MH Hasan, K Ahmad… - Future Generation …, 2021 - Elsevier
Trust-based secure routing schemes are more effective than cryptographic routing protocols
to convey energy-efficient data in WSNs since cryptographic protocols require high …