Multilayer extreme learning machine: a systematic review
Majority of the learning algorithms used for the training of feedforward neural networks
(FNNs), such as backpropagation (BP), conjugate gradient method, etc. rely on the …
(FNNs), such as backpropagation (BP), conjugate gradient method, etc. rely on the …
Blockchain assisted clustering with intrusion detection system for industrial internet of things environment
RF Mansour - Expert Systems with Applications, 2022 - Elsevier
Industry 4.0 has the potential to create new industrial revolution by offering intelligent,
secure, independent, and self-adaptive Industrial Internet of Things (IIoT) networks. These …
secure, independent, and self-adaptive Industrial Internet of Things (IIoT) networks. These …
Robust and secure data transmission using artificial intelligence techniques in ad-hoc networks
The paper presents a new security aspect for a Mobile Ad-Hoc Network (MANET)-based IoT
model using the concept of artificial intelligence. The Black Hole Attack (BHA) is considered …
model using the concept of artificial intelligence. The Black Hole Attack (BHA) is considered …
A Survey on Industrial Internet of Things (IIoT) Testbeds for Connectivity Research
Industrial Internet of Things (IIoT) technologies have revolutionized industrial processes,
enabling smart automation, real-time data analytics, and improved operational efficiency …
enabling smart automation, real-time data analytics, and improved operational efficiency …
[HTML][HTML] A fixed clustering protocol based on random relay strategy for EHWSN
X Luo, C Zhang, L Bai - Digital Communications and Networks, 2023 - Elsevier
Abstract In Energy Harvesting Wireless Sensor Networks (EHWSN), the communication
protocol will directly affect the final performance of the network, so it is necessary to study the …
protocol will directly affect the final performance of the network, so it is necessary to study the …
Augmenting Transparency and Reliability for National Health Insurance Scheme with Distributed Ledger
Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana is a chance to improve the health of
hundreds of millions of Indians and get rid of or lessen medical poverty in the nation. Many …
hundreds of millions of Indians and get rid of or lessen medical poverty in the nation. Many …
Deep reinforcement learning-based multi-objective edge server placement in Internet of Vehicles
In the typical scenario of the Internet of Vehicles (IoV), the edge servers (ESs) are laid out
near the road side units (RSUs) to process the collected data for a variety of IoV services in …
near the road side units (RSUs) to process the collected data for a variety of IoV services in …
[HTML][HTML] Solving the vehicle routing problem with time windows using modified football game algorithm
The vehicle routing problem with time windows (VRPTW) is a famous problem in logistics
and transportation that has many applications in real life. The objective of the problem is to …
and transportation that has many applications in real life. The objective of the problem is to …
Performance and stability comparison of react and flutter: Cross-platform application development
K Kishore, S Khare, V Uniyal… - … Conference on Cyber …, 2022 - ieeexplore.ieee.org
Application development is a very important aspect when it comes to business. From small-
scale companies to Fortune Companies everyone has an application through which they are …
scale companies to Fortune Companies everyone has an application through which they are …
[HTML][HTML] An approach based on genetic algorithms and neural networks for QoS-aware IoT services composition
Abstract In the Internet of Things (IoT) environment, the services provided by the connected
objects are published as services through the web. This allows to machines to interact …
objects are published as services through the web. This allows to machines to interact …