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A semantic-based model with a hybrid feature engineering process for accurate spam detection
Detecting spam emails is essential to maintaining the security and integrity of email communication. Existing research has made significant progress...
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Review of Deep Learning Techniques for Neurological Disorders Detection
Neurological disease is one of the most common types of dementia that predominantly concerns the elderly. In clinical approaches, identifying its...
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Energy Efficient Routing in Cluster Based Heterogeneous Wireless Sensor Network Using Hybrid GWO and Firefly Algorithm
Object tracking application is one of the important as well as challenging application of energy constrained Wireless Sensor Network (WSN).Timely and...
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EFTVG: An Energy Efficient Fuzzy–Timer Clustering Approach in an Adaptive Virtual Grid Cluster Based WSN
Clustering is an effective way that improves WSN lifetime. In this paper, unlike the other approaches, an adaptive virtual grid is conducted to form...
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Dcaro: Dynamic cluster formation and AUV-aided routing optimization for energy-efficient UASNs
In Underwater Acoustic Sensor Networks (UASNs), optimizing energy efficiency and minimizing void occurrences in routing is paramount. Due to the...
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Load Balancing in Cloud Environment Using Opposition Based Spider Monkey Optimization
Using cloud computing, user can pool resources in a distributed environment. These resources can be accessed wherever and whenever the provider...
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Flexible localization protocol for underwater wireless sensor networks using hybrid reward evaluation scheme
Underwater Wireless Sensor Networks (UWSNs) must recognize sensor nodes and estimate their locations. A reliable underwater data forwarding relay is...
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Discreet: distributed delivery service with context-aware cooperation
End-to-end encrypted messaging applications such as Signal became widely popular thanks to their capability to ensure the confidentiality and...
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A Novel Method for Design and Implementation of Systolic Associative Cascaded Variable Leaky Least Mean Square Adaptive Filter for Denoising of ECG Signals
Electrocardiogram is the most essential diagnostic test for heart disease detection in this era, where it has low frequency and small amplitude,...
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Efficient Hotel Rating Prediction from Reviews Using Ensemble Learning Technique
Predicting hotel ratings from reviews involves natural language processing techniques to extract sentiment and features from text data, then applying...
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All Things will be Dominated/Controlled by Humans’ Imaginations in the Next Generation of Internet of Brains
Fifty years ago, an intriguing concept was proposed that relied on Internet technology, known as the Internet of Things. Over time, this idea has...
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An Iterative Convolutional Neural Network Based Malicious Node Detection (ICNNMND) Protocol For Internet of Things
At present Internet of Things is widely used in various products and parts in our daily life. In the future, its uses and requirements will increase....
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Performance Analysis of Computational Intelligence Correction
Kalman filter (KF) is a widely used navigation algorithm, especially for precise positioning applications. However, the exact filter parameters must...
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Cluster-Based Hybrid Routing Technique for Wireless Sensor Networks
While deploying wireless sensor networks (WSNs), the cluster heads need huge amount of energy according to the unbalanced routing of the Sensor nodes...
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Coverage Prediction for Target Coverage in WSN Using Machine Learning Approaches
Mathematical programming techniques are widely used in the determination of optimal functional configuration of a wireless sensor network (WSN). But...
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A revocable attribute-based access control with non-monotonic access structure
Internet of Things (IoT) has revolutionized data manipulation across various applications, particularly in online healthcare paradigm, where medical...
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Malicious node detection in wireless sensor network using modified sandpiper optimization algorithm
The most crucial thing about the Wireless Sensor Network (WSN) application is the validation of dangerous as well as remote sensing fields, which are...
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Adaptive connected hybrid beamforming for energy efficiency maximization in multi-user millimeter wave systems
Energy efficiency (EE) is a key enabler for sustainable green millimeter wave (mmWave) communication. However, conventional hybrid beamforming...
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Geometry-Assisted Initial Access and Link Maintenance in mmWave 5G Communication Networks
Beamforming using highly directional antennas is inevitable to compensate the propagation losses and enable communication in the millimeter wave...
