Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

2021 ◽

pp. 177-192

Author(s):

Mohammad Furqan Ali ◽

Tharindu D. Ponnimbaduge Perera ◽

Vladislav S. Sergeevich ◽

Sheikh Arbid Irfan ◽

Unzhakova Ekaterina Viktorovna ◽

...

Keyword(s):

Communication System ◽

Underwater Communication

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Performance Evaluation of Logic Gates Using Magnetic Tunnel Junction

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication ◽

10.1007/978-981-16-0289-4_23 ◽

2021 ◽

pp. 313-321

Author(s):

Jyoti Garg ◽

Subodh Wairya

Keyword(s):

Performance Evaluation ◽

Tunnel Junction ◽

Magnetic Tunnel Junction ◽

Logic Gates

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High-Level Synthesis of Cellular Automata–Belousov Zhabotinsky Reaction in FPGA

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication ◽

10.1007/978-981-16-0289-4_26 ◽

2021 ◽

pp. 341-349

Author(s):

P. Purushothaman ◽

S. Srihari ◽

S. Deivalakshmi

Keyword(s):

Cellular Automata ◽

High Level Synthesis ◽

High Level ◽

Belousov Zhabotinsky Reaction

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Flip Flop Neural Networks: Modelling Memory for Efficient Forecasting

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication ◽

10.1007/978-981-16-0289-4_13 ◽

2021 ◽

pp. 165-174

Author(s):

S. Sujith Kumar ◽

C. Vigneswaran ◽

V. Srinivasa Chakravarthy

Keyword(s):

Neural Networks ◽

Flip Flop

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Electrocardiogram Signal Classification for the Detection of Abnormalities Using Discrete Wavelet Transform and Artificial Neural Network Back Propagation Algorithm

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication ◽

10.1007/978-981-16-0289-4_36 ◽

2021 ◽

pp. 493-505

Author(s):

M. Ramkumar ◽

C. Ganesh Babu ◽

R. Sarath Kumar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Back Propagation ◽

Signal Classification ◽

Discrete Wavelet ◽

Back Propagation Algorithm ◽

Propagation Algorithm ◽

Electrocardiogram Signal

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Attention-Based SRGAN for Super Resolution of Satellite Images

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication ◽

10.1007/978-981-16-0289-4_31 ◽

2021 ◽

pp. 407-423

Author(s):

D. Synthiya Vinothini ◽

B. Sathya Bama

Keyword(s):

Satellite Images ◽

Super Resolution

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Recognition of Obscure Objects Using Super Resolution-Based Generative Adversarial Networks

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication ◽

10.1007/978-981-16-0289-4_34 ◽

2021 ◽

pp. 459-472

Author(s):

B. Sathyabama ◽

A. Arunesh ◽

D. SynthiyaVinothini ◽

S. Anupriyadharsini ◽

S. Md. Mansoor Roomi

Keyword(s):

Super Resolution ◽

Generative Adversarial Networks ◽

Adversarial Networks

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LSTM Network for Hotspot Prediction in Traffic Density of Cellular Network

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication ◽

10.1007/978-981-16-0289-4_3 ◽

2021 ◽

pp. 35-47

Author(s):

S. Swedha ◽

E. S. Gopi

Keyword(s):

Cellular Network ◽

Traffic Density ◽

Lstm Network

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Optimal Design of Fractional Order PID Controller for AVR System Using Black Widow Optimization (BWO) Algorithm

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication ◽

10.1007/978-981-16-0289-4_2 ◽

2021 ◽

pp. 19-34

Author(s):

Vijaya Kumar Munagala ◽

Ravi Kumar Jatoth

Keyword(s):

Optimal Design ◽

Fractional Order ◽

Pid Controller ◽

Black Widow ◽

Avr System ◽

Fractional Order Pid ◽

Fractional Order Pid Controller

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Deep Learning to Predict the Number of Antennas in a Massive MIMO Setup Based on Channel Characteristics

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication ◽

10.1007/978-981-16-0289-4_1 ◽

2021 ◽

pp. 3-18

Author(s):

Sharan Chandra ◽

E. S. Gopi ◽

Hrishikesh Shekhar ◽

Pranav Mani

Keyword(s):

Deep Learning ◽

Massive Mimo ◽

Channel Characteristics

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Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

Selection Relay-Based RF-VLC Underwater Communication System

Performance Evaluation of Logic Gates Using Magnetic Tunnel Junction

High-Level Synthesis of Cellular Automata–Belousov Zhabotinsky Reaction in FPGA

Flip Flop Neural Networks: Modelling Memory for Efficient Forecasting

Electrocardiogram Signal Classification for the Detection of Abnormalities Using Discrete Wavelet Transform and Artificial Neural Network Back Propagation Algorithm

Attention-Based SRGAN for Super Resolution of Satellite Images

Recognition of Obscure Objects Using Super Resolution-Based Generative Adversarial Networks

LSTM Network for Hotspot Prediction in Traffic Density of Cellular Network

Optimal Design of Fractional Order PID Controller for AVR System Using Black Widow Optimization (BWO) Algorithm

Deep Learning to Predict the Number of Antennas in a Massive MIMO Setup Based on Channel Characteristics

Export Citation Format

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless CommunicationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

Selection Relay-Based RF-VLC Underwater Communication System

Performance Evaluation of Logic Gates Using Magnetic Tunnel Junction

High-Level Synthesis of Cellular Automata–Belousov Zhabotinsky Reaction in FPGA

Flip Flop Neural Networks: Modelling Memory for Efficient Forecasting

Electrocardiogram Signal Classification for the Detection of Abnormalities Using Discrete Wavelet Transform and Artificial Neural Network Back Propagation Algorithm

Attention-Based SRGAN for Super Resolution of Satellite Images

Recognition of Obscure Objects Using Super Resolution-Based Generative Adversarial Networks

LSTM Network for Hotspot Prediction in Traffic Density of Cellular Network

Optimal Design of Fractional Order PID Controller for AVR System Using Black Widow Optimization (BWO) Algorithm

Deep Learning to Predict the Number of Antennas in a Massive MIMO Setup Based on Channel Characteristics

Lecture Notes in Electrical Engineering - Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication
Latest Publications