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 …

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 …

[HTML][HTML] Real-time twitter spam detection and sentiment analysis using machine learning and deep learning techniques

AP Rodrigues, R Fernandes, A Shetty… - Computational …, 2022 - hindawi.com
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 …

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 …

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 …

[HTML][HTML] Intrusion detection system to advance internet of things infrastructure-based deep learning algorithms

H Alkahtani, THH Aldhyani - Complexity, 2021 - hindawi.com
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 …

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 …

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 …

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 …

Energy optimization for green communication in IoT using harris hawks optimization

K Dev, PKR Maddikunta, TR Gadekallu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) has gained immense attention over the last decade. Even though IoT
has great potential, several issues like security, energy optimization, data storage, real time …