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The mediating role of mobile learning motivation in the relationship between pre-service teachers’ digital literacy and pre-service teacher identity
This study is significant as it seeks to establish the connection between the digital literacy levels of pre-service teachers and their teacher...
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Analyzing breast cancer comorbidities: a network approach using community detection algorithms
Breast cancer is a prominent global health concern, as the data from the International Agency for Research on Cancer (IARC) shows that breast cancer...
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Towards a generic agent-based vector-host model: effects of carrying capacity and host mobility
The aim of our work is to develop a generic conceptual agent-based model to formalize the interaction of vector and host given climate change. The...
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From time series to networks in R with the ts2net package
Network science established itself as a prominent tool for modeling time series and complex systems. This modeling process consists of transforming a...
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Proposed cancelable biometrics system based on hybrid optical crypto-steganography audio framework for cyber security applications
Biometric authentication systems have gained significant popularity in recent years due to their high level of security and convenience. Cancelable...
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Visual saliency based maritime target detection
We present an unsupervised maritime target detection method based on visual saliency. From the perspective of maritime target detection as a salient...
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Enhancing visual clarity in hazy media: a comprehensive approach through preprocessing and feature fusion attention-based dehazing
Particles in the atmosphere, such as dust and smoke, can cause visual clarity problems in both images and videos. Haze is the result of the...
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Automatic identification of Malvani dialects from audio signal based on hybrid FFO-TSO with deep neural network
Marathi language is originated from the geographical regions of Maharashtra, which include several different varieties of Malvani. The identification...
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Ant lion optimization based inertia weight optimized KGMO for mobility Management in Heterogeneous LTE cellular networks
This study proposes a hybrid optimization-based mobility management strategy employing Kinetic Gas Molecular Optimization (KGMO) and Ant Lion...
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Encryption of medical data based on blockchain and multi-chaotic maps
In this work, the SHA-256 mapper of the blockchain has been utilized to secure medical data from brute-force attacks. The uniform distribution and...
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Constructing a non-degenerate 2D chaotic map with application in irreversible PRNG
To solve the weakness of reversibility that exited in some pseudo-random number generators (PRNGs), we designed an enhanced chaos-based irreversible...
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Multi-layered access control based auto tuning relational key implications in enterprise-level multi-tenancy
This article discusses the importance of cloud-based multi-tenancy in private–public-private secure cloud environments, which is achieved through the...
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Text classification based on optimization feature selection methods: a review and future directions
A substantial portion of today’s multimedia data exists in the form of unstructured text. However, the unstructured nature of text poses a...
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Anomaly detection using deep learning approach for IoT smart city applications
With the advancements of IoT devices, many smart applications start to rule this era. In particular, smart cities has been adapted and realized by...
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Pothole detection in adverse weather: leveraging synthetic images and attention-based object detection methods
Potholes are a pervasive road hazard with the potential to cause accidents and vehicle damage. Detecting potholes accurately is essential for timely...
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DyHANE: dynamic heterogeneous attributed network embedding through experience node replay
With real-world network systems typically comprising a large number of interactive components and inherently dynamic, Graph Continual Learning (GCL)...
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Experimental guidance and feedback via operation intention prediction with effect analysis in chemistry labs
To optimize learning experience and improve learning performance, current virtual experimental systems usually assist students with stepwise guidance...
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Applications of deep learning method of artificial intelligence in education
Intersection of education and deep learning method of artificial intelligence (AI) is gradually becoming a hot research field. Education will be...
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Breaking boundaries: Enhancing dance learning through virtual reality innovation
Virtual Reality technology (VRT) has rapidly evolved in recent years, revolutionizing various industries by providing immersive and interactive...
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Image encryption framework based on multi-chaotic maps and equal pixel values quantization
The importance of image encryption has considerably increased, especially after the dramatic evolution of the internet and network communications,...