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 …

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 …

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 …

Deep learning for time series forecasting: Advances and open problems

A Casolaro, V Capone, G Iannuzzo, F Camastra - Information, 2023 - mdpi.com
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 …

Security in IoT mesh networks based on trust similarity

A Kavitha, VB Reddy, N Singh, VK Gunjan… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Recent advancements in deep learning frameworks for precision fish farming opportunities, challenges, and applications

G Kaur, N Adhikari, S Krishnapriya… - Journal of Food …, 2023 - Wiley Online Library
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 …

Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications

A Elhanashi, P Dini, S Saponara, Q Zheng - Electronics, 2023 - mdpi.com
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

Survey of distributed and decentralized IoT securities: approaches using deep learning and blockchain technology

A Falayi, Q Wang, W Liao, W Yu - Future Internet, 2023 - mdpi.com
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 …

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 …

DI‐ADS: A Deep Intelligent Distributed Denial of Service Attack Detection Scheme for Fog‐Based IoT Applications

SPK Gudla, SK Bhoi, SR Nayak… - … Problems in Engineering, 2022 - Wiley Online Library
Nowadays, fog computing plays a very vital role in providing many services to end‐based
IoT (Internet of Things) systems. The end IoT devices communicate with the middle layer fog …