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[HTML][HTML] Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …
[HTML][HTML] IoT anomaly detection methods and applications: A survey
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …
expanding field. This growth necessitates an examination of application trends and current …
Machine learning for anomaly detection: A systematic review
Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …
components from data. Many techniques have been used to detect anomalies. One of the …
Using the internet of things in smart energy systems and networks
Private businesses and policymakers are accelerating the deployment and advancement of
smart grid technology innovations that can support smart energy systems. Technological …
smart grid technology innovations that can support smart energy systems. Technological …
Automated DDOS attack detection in software defined networking
Abstract Software-Defined Networking (SDN) is a networking paradigm that has redefined
the term network by making the network devices programmable. SDN helps network …
the term network by making the network devices programmable. SDN helps network …
An optimized dense convolutional neural network model for disease recognition and classification in corn leaf
An optimized dense convolutional neural network (CNN) architecture (DenseNet) for corn
leaf disease recognition and classification is proposed in this paper. Corn is one of the most …
leaf disease recognition and classification is proposed in this paper. Corn is one of the most …
[HTML][HTML] Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects
Digital twins (DTs) are an emerging digitalization technology with a huge impact on today's
innovations in both industry and research. DTs can significantly enhance our society and …
innovations in both industry and research. DTs can significantly enhance our society and …
Smart anomaly detection in sensor systems: A multi-perspective review
Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …
the expected behavior. This is an important research problem, due to its broad set of …
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
The human population is growing at a very rapid scale. With this progressive growth, it is
extremely important to ensure that healthy food is available for the survival of the inhabitants …
extremely important to ensure that healthy food is available for the survival of the inhabitants …
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …
inception. Currently, it dominates the imaging field—in particular, image classification. The …