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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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A new attack resistant encryption method based on hybrid chaotic-quantum key distribution (CQKD)
In this paper, a new hybrid chaotic-quantum encryption model is investigated aiming to solve the interception trouble of information transmission...
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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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Lorentz invariants of pure three-qubit states
Extending the mathematical framework of Sudha et al. (Phys Rev A 102:052419, 2020), we construct Lorentz invariant quantities of pure three-qubit...
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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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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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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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Periodic and random incremental backup policies in reliability theory
For a 24/7 database system, backups should be implemented right after a large volume of data has been updated, putting their backup windows in...
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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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Augmenting Cervical Cancer Analysis with Deep Learning Classification and Topography Selection Using Artificial Bee Colony Optimization
According to the research and study, cervical cancer has risen to develop the fourth most communal malignancy to strike women. Five different forms...
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Multimedia Educational System and its Improvement Using AI Model for a Higher Education Platform
In the world of technology today, the hardware, applications, and online computing service have transformed instructional approaches and classroom...
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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,...
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Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review
Cardiovascular disease holds the position of being the foremost cause of death worldwide. Heart Disease Prediction (HDP) is a difficult task as it...
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Optimal saturated information load analysis for enhancing robustness in unmanned swarms system
Saturated information load is defined as the information received by a unmanned aerial vehicle (UAV) node in a swarm network reaches the overload...
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Tree-based quantum anonymous ranking protocol
We propose an improved quantum anonymous multiparty multidata ranking (QAMMR) protocol based on the binary search tree. In a QAMMR protocol, multiple...
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Enhancing Forecasting Accuracy with a Moving Average-Integrated Hybrid ARIMA-LSTM Model
This research provides a time series forecasting model that is hybrid which combines Long Short-Term Memory (LSTM) and Autoregressive Integrated...
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Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis
Deep Learning (DL) is currently transforming health services by significantly improving early cancer diagnosis, drug discovery, protein–protein...
