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Intelligent Computing and Communication Technologies for Autonomous Unmanned Platforms [AUP]
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Bradford, West Yorkshire :
Emerald Publishing Limited,
2022.
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| Colección: | International Journal of Intelligent Unmanned Systems Ser.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Guest editorial
- An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics
- Query processing over secure perturbed data over hybrid cloud
- Internet of things (IoT)-based unmanned intelligent street light using renewable energy
- Verification of pattern unlock and gait behavioural authentication through a machine learning approach
- Intrusion detection in mobile ad-hoc network using Hybrid Reactive Search and Bat algorithm
- Electroencephalogram (EEG) signal classification for brain-computer interface using discrete wavelet transform (DWT)
- A novel approach for brain tumor detection by self-organizing map (SOM) using adaptive network based fuzzy inference system ...
- Minimizing path loss and improving security in wireless body area networks
- Modeling of lightweight security framework for identifying efficient route for secure communication in WSN
- Design and implementation of high-speed and low-power consumption Moore-based loopback adder on FPGA
- MIMO antenna miniaturization standards for future 5G
- Automatic detection of optic disc using distance regularized level-set segmentation for glaucoma screening system
- PMI-based polarity computation for SVM-NN-based sentiment classification from user-generated reviews
- Hybrid multibeam forming and multiuser detection technique for MU-MIMO system
- Design and simulation of robot hand for writing and correction assistant applications
- Scale to estimate the aspect-oriented sentiment polarity under anaphors influence (SPAI)
- Optimum bug fixing rate and bug fixing time detection by software reliability modelling