A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
A Thakkar, K Chaudhari - Expert Systems with Applications, 2021 - Elsevier
The stock market has been an attractive field for a large number of organizers and investors
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …
[HTML][HTML] Secure and energy-efficient framework using Internet of Medical Things for e-healthcare
In various fields, the internet of things (IoT) gains a lot of popularity due to its autonomous
sensors operations with the least cost. In medical and healthcare applications, the IoT …
sensors operations with the least cost. In medical and healthcare applications, the IoT …
DRL-UTPS: DRL-based trajectory planning for unmanned aerial vehicles for data collection in dynamic IoT network
Using highly maneuverable Unmanned Aerial Vehicles (UAV) to collect data is a fast and
efficient method that is widely studied. In most studies, they assume that the UAVs can …
efficient method that is widely studied. In most studies, they assume that the UAVs can …
An improved energy-efficient clustering protocol to prolong the lifetime of the WSN-based IoT
AAH Hassan, WM Shah, AHH Habeb… - Ieee …, 2020 - ieeexplore.ieee.org
A wireless sensor network (WSN) is an important part of the Internet of Things (IoT).
However, sensor nodes of a WSN-based IoT network are constraining with the energy …
However, sensor nodes of a WSN-based IoT network are constraining with the energy …
Balancing energy consumption in heterogeneous wireless sensor networks using genetic algorithm
M Elhoseny, X Yuan, Z Yu, C Mao… - IEEE …, 2014 - ieeexplore.ieee.org
In a heterogeneous Wireless Sensor Network (WSN), factors such as initial energy, data
processing capability, etc. greatly influence the network lifespan. Despite the success of …
processing capability, etc. greatly influence the network lifespan. Despite the success of …
LEACH-MAC: a new cluster head selection algorithm for Wireless Sensor Networks
Battery power is a critical resource of Wireless Sensor Networks (WSNs). Therefore, an
effective operation of WSNs depend upon the efficient use of its battery resource. Cluster …
effective operation of WSNs depend upon the efficient use of its battery resource. Cluster …
An energy-efficient routing algorithm for software-defined wireless sensor networks
Recent significant research on wireless sensor networks (WSNs) has led to the widespread
adoption of software-defined WSNs (SDWSNs), which can be reconfigured even after …
adoption of software-defined WSNs (SDWSNs), which can be reconfigured even after …
A survey on energy-efficient strategies in static wireless sensor networks
A comprehensive analysis on the energy-efficient strategy in static Wireless Sensor
Networks (WSNs) that are not equipped with any energy harvesting modules is conducted in …
Networks (WSNs) that are not equipped with any energy harvesting modules is conducted in …
LSDAR: A light-weight structure based data aggregation routing protocol with secure internet of things integrated next-generation sensor networks
Abstract Wireless Sensor Network (WSN) gains a lot of research devotion because of their
unique features as compared to traditional networks. The resource constraints next …
unique features as compared to traditional networks. The resource constraints next …
A survey of energy-aware cluster head selection techniques in wireless sensor network
J John, P Rodrigues - Evolutionary Intelligence, 2022 - Springer
Recently, wireless sensor networks (WSNs) are becoming very famous as they are
inexpensive and easy to maintain and manage. The network contains a group of sensor …
inexpensive and easy to maintain and manage. The network contains a group of sensor …