[HTML][HTML] Internet of things for the future of smart agriculture: A comprehensive survey of emerging technologies
This paper presents a comprehensive review of emerging technologies for the internet of
things (IoT)-based smart agriculture. We begin by summarizing the existing surveys and …
things (IoT)-based smart agriculture. We begin by summarizing the existing surveys and …
Internet of things as system of systems: A review of methodologies, frameworks, platforms, and tools
The Internet of Things (IoT) is the latest example of the System of Systems (SoS), demanding
for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the …
for both innovative and evolutionary approaches to tame its multifaceted aspects. Over the …
[HTML][HTML] A survey on smart agriculture: Development modes, technologies, and security and privacy challenges
With the deep combination of both modern information technology and traditional
agriculture, the era of agriculture 4.0, which takes the form of smart agriculture, has come …
agriculture, the era of agriculture 4.0, which takes the form of smart agriculture, has come …
Fortified-chain: a blockchain-based framework for security and privacy-assured internet of medical things with effective access control
The rapid developments in the Internet of Medical Things (IoMT) help the smart healthcare
systems to deliver more sophisticated real-time services. At the same time, IoMT also raises …
systems to deliver more sophisticated real-time services. At the same time, IoMT also raises …
[HTML][HTML] Load balancing techniques in cloud computing environment: A review
Cloud Computing is a robust model that allows users and organizations to purchase
required services per their needs. The model offers many services such as storage …
required services per their needs. The model offers many services such as storage …
Security and trust issues in fog computing: A survey
Fog computing uses one or more collaborative end users or near-user edge devices to
perform storage, communication, control, configuration, measurement and management …
perform storage, communication, control, configuration, measurement and management …
Temporal pattern-aware QoS prediction via biased non-negative latent factorization of tensors
Quality-of-service (QoS) data vary over time, making it vital to capture the temporal patterns
hidden in such dynamic data for predicting missing ones with high accuracy. However …
hidden in such dynamic data for predicting missing ones with high accuracy. However …
AI-based modeling and data-driven evaluation for smart manufacturing processes
Smart manufacturing refers to optimization techniques that are implemented in production
operations by utilizing advanced analytics approaches. With the widespread increase in …
operations by utilizing advanced analytics approaches. With the widespread increase in …
Machine learning methods for reliable resource provisioning in edge-cloud computing: A survey
Large-scale software systems are currently designed as distributed entities and deployed in
cloud data centers. To overcome the limitations inherent to this type of deployment …
cloud data centers. To overcome the limitations inherent to this type of deployment …
Optimizing weighted extreme learning machines for imbalanced classification and application to credit card fraud detection
The classification problems with imbalanced datasets widely exist in real word. An Extreme
Learning Machine is found unsuitable for imbalanced classification problems. This work …
Learning Machine is found unsuitable for imbalanced classification problems. This work …