A survey of internet of things and cyber-physical systems: standards, algorithms, applications, security, challenges, and future directions
KT Chui, BB Gupta, J Liu, V Arya, N Nedjah… - Information, 2023 - mdpi.com
The smart city vision has driven the rapid development and advancement of interconnected
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …
Recent advances in generative adversarial networks for gene expression data: a comprehensive review
M Lee - Mathematics, 2023 - mdpi.com
The evolving field of generative artificial intelligence (GenAI), particularly generative deep
learning, is revolutionizing a host of scientific and technological sectors. One of the pivotal …
learning, is revolutionizing a host of scientific and technological sectors. One of the pivotal …
Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine‐Tuning Approach
T Shelatkar, Urvashi, M Shorfuzzaman… - … Methods in Medicine, 2022 - Wiley Online Library
Brain cancer is a rare and deadly disease with a slim chance of survival. One of the most
important tasks for neurologists and radiologists is to detect brain tumors early. Recent …
important tasks for neurologists and radiologists is to detect brain tumors early. Recent …
Deep learning for time series forecasting: Advances and open problems
A time series is a sequence of time-ordered data, and it is generally used to describe how a
phenomenon evolves over time. Time series forecasting, estimating future values of time …
phenomenon evolves over time. Time series forecasting, estimating future values of time …
Security in IoT mesh networks based on trust similarity
Internet of Things (IoT) Mesh networks are becoming very popular to enable IoT devices to
communicate without relying on dedicated PC services. The Internet of Things (IoT) implicitly …
communicate without relying on dedicated PC services. The Internet of Things (IoT) implicitly …
Recent advancements in deep learning frameworks for precision fish farming opportunities, challenges, and applications
The growth of the fish is influenced by a variety of scientific factors. So, profit can be easily
achieved by using some clever techniques, for example, maintaining the correct pH level …
achieved by using some clever techniques, for example, maintaining the correct pH level …
Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
[HTML][HTML] A meta-survey on intelligent energy-efficient buildings
The rise of the Internet of Things (IoT) has enabled the development of smart cities,
intelligent buildings, and advanced industrial ecosystems. When the IoT is matched with …
intelligent buildings, and advanced industrial ecosystems. When the IoT is matched with …
Survey of distributed and decentralized IoT securities: approaches using deep learning and blockchain technology
The Internet of Things (IoT) continues to attract attention in the context of computational
resource growth. Various disciplines and fields have begun to employ IoT integration …
resource growth. Various disciplines and fields have begun to employ IoT integration …
Intelligent Water Drops Algorithm‐Based Aggregation in Heterogeneous Wireless Sensor Network
S Nonita, PA Xalikovich, CR Kumar… - Journal of …, 2022 - Wiley Online Library
This paper provides a novel implementation of the intelligent water drops (IWD) method for
resolving data aggregation issues in heterogeneous wireless sensor networks (WSN). When …
resolving data aggregation issues in heterogeneous wireless sensor networks (WSN). When …