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COECG-resnet-GWO-SVM: an optimized COVID-19 electrocardiography classification model based on resnet50, grey wolf optimization and support vector machine
Coronavirus disease 2019 (COVID-19) has swiftly spread throughout the globe, causing widespread infection in various countries and regions, and was...
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A QoS-aware routing approach for Internet of Things-enabled wireless sensor networks in smart cities
In the Internet of Things (IoT), optimizing machine performance through data analysis and improved connectivity is pivotal. Addressing the growing...
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Unleashing the power of deep neural networks: An interactive exploration of static and dynamic architectures
Static networks, known for their fixed architectures and weights, have been widely employed in diverse applications. However, the emergence of...
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ASDMG: business topic clustering-based architecture smell detection for microservice granularity
Microservices architecture smells can significantly affect the quality of microservices due to poor design decisions, especially the granularity...
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Ensemble methods-based comparative study of Landsat 8 operational land imager (OLI) and sentinel 2 multi-spectral images (MSI) for smart farming crop classification
Agriculture has a significant worldwide impact in terms of generating employment opportunities and stimulating economic growth. In India, agriculture...
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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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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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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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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...
