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[HTML][HTML] From efficiency to sustainability: Exploring the potential of 6G for a greener future
This article provides a comprehensive examination of sustainable 6G wireless
communication systems, addressing the urgent need for environmentally friendly and …
communication systems, addressing the urgent need for environmentally friendly and …
[HTML][HTML] Optimal data transmission and pathfinding for WSN and decentralized IoT systems using I-GWO and Ex-GWO algorithms
Efficient resource use is a very important issue in wireless sensor networks and
decentralized IoT-based systems. In this context, a smooth pathfinding mechanism can …
decentralized IoT-based systems. In this context, a smooth pathfinding mechanism can …
Handcrafted deep-feature-based brain tumor detection and classification using mri images
An abnormal growth of cells in the brain, often known as a brain tumor, has the potential to
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …
[PDF][PDF] Multi-tier sentiment analysis of social media text using supervised machine learning
Sentiment Analysis (SA) is often referred to as opinion mining. It is defined as the extraction,
identification, or characterization of the sentiment from text. Generally, the sentiment of a …
identification, or characterization of the sentiment from text. Generally, the sentiment of a …
[PDF][PDF] Eye-Tracking Based Autism Spectrum Disorder Diagnosis Using Chaotic Butterfly Optimization with Deep Learning Model.
Autism spectrum disorder (ASD) can be defined as a neurodevelopmental condition or
illness that can disturb kids who have heterogeneous characteristics, like changes in …
illness that can disturb kids who have heterogeneous characteristics, like changes in …
A provably secure key transfer protocol for the fog-enabled Social Internet of Vehicles based on a confidential computing environment
In recent years, the Social Internet of Vehicles (SI o V) has been widely used in
transportation, dramatically enhancing people's lifestyles. SI o V can collect and process …
transportation, dramatically enhancing people's lifestyles. SI o V can collect and process …
Performance enhancement of efficient clustering and routing protocol for wireless sensor networks using improved elephant herd optimization algorithm
Wireless sensor networks (WSNs) currently have numerous applications, especially in
tracking and observing non-human activities. Sensor nodes in WSNs are known to have …
tracking and observing non-human activities. Sensor nodes in WSNs are known to have …
Improved secure encryption with energy optimization using random permutation pseudo algorithm based on Internet of Thing in wireless sensor networks
The use of wireless and Internet of Things (IoT) devices is growing rapidly. Because of this
expansion, nowadays, mobile apps are integrated into low-cost, low-power platforms. Low …
expansion, nowadays, mobile apps are integrated into low-cost, low-power platforms. Low …
An optimization method in wireless sensor network routing and IoT with water strider algorithm and ant colony optimization algorithm
A Kooshari, M Fartash, P Mihannezhad… - Evolutionary …, 2024 - Springer
A wireless sensor network is a wireless communication network, and each sensor node has
several sensors to collect environmental information. Wireless sensor network nodes have …
several sensors to collect environmental information. Wireless sensor network nodes have …
Artificial neural networks-based improved Levenberg–Marquardt neural network for energy efficiency and anomaly detection in WSN
One of the key goals in the design of the networks is to increase the lifespan of wireless
sensor networks (WSNs). Using different models of intelligent energy management could …
sensor networks (WSNs). Using different models of intelligent energy management could …