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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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V-DAFT: visual technique for texture image defect recognition with denoising autoencoder and fourier transform
Texture is the surface qualities and visual attributes of an object, determined by the arrangement, size, shape, density, and proportion of its...
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Deep learning based features extraction for facial gender classification using ensemble of machine learning technique
Accurate and efficient gender recognition is an essential for many applications such as surveillance, security, and biometrics. Recently, deep...
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Young-gaze: an appearance-based gaze estimation solution for adolescents
According to the World Health Organization survey, the global incidence of adolescent mental illness is 28%, while the disease detection rate is only...
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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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A hybrid approach based on PUF and ML to protect MQTT based IoT system from DDoS attacks
IoT application uses MQTT, an application layer protocol that facilitates machine-to-machine communication using a central entity called broker. The...
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A lightweight attention-based network for image dehazing
In current convolution-based image dehazing networks, increasing the depth and width of convolutional layers is a common strategy to improve network...
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Estimation of cattle weight from composite image/height/length data with spatial and channel attention convolution network (SCA-ConvNet)
Currently, the predominant method for indirectly obtaining cattle weight data involves establishing the correlation between cattle liveweight and...
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Trust management in the internet of vehicles: a systematic literature review of blockchain integration
The Internet of Vehicles (IoV) promises to revolutionize transportation in smart cities, but its interconnectedness raises critical security and...
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Lightweight safety helmet detection algorithm using improved YOLOv5
In response to the challenges faced by existing safety helmet detection algorithms when applied to complex construction site scenarios, such as poor...
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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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Advanced detection techniques for driver drowsiness: a comprehensive review of machine learning, deep learning, and physiological approaches
Road mishaps, a global concern, see driver fatigue contributing to roughly 40% of accidents in India. Detecting drowsiness early is pivotal in...
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ASOD: an adaptive stream outlier detection method using online strategy
In the current era of information technology, blockchain is widely used in various fields, and the monitoring of the security and status of the...
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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...
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Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristics
Multi-Exposure Fusion (MEF) technique aims to fuse multiple images taken from the same scene at different exposure levels into an image with more...
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A heuristic approach for insertion of multiple-complex coefficient-filter based DSTATCOM to enhancement of power quality in distribution system
The advent of non-linear systems has resulted in several power quality challenges, including harmonics, power losses, and voltage swings. To solve...
