Tahesin Samira Delwar

Orcid: 0000-0002-4646-763X

According to our database1, Tahesin Samira Delwar authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
The Intersection of Machine Learning and Wireless Sensor Network Security for Cyber-Attack Detection: A Detailed Analysis.
Sensors, October, 2024

A μ-GA Oriented ANN-Driven: Parameter Extraction of 5G CMOS Power Amplifier.
IEEE Trans. Very Large Scale Integr. Syst., September, 2024

an-QNA: An Adaptive Nesterov Quasi-Newton Acceleration-Optimized CMOS LNA for 65 nm Automotive Radar Applications.
Sensors, September, 2024

A Reformed PSO-Based High Linear Optimized Up-Conversion Mixer for Radar Application.
Sensors, February, 2024

Analysis and investigation of a novel underwater channel model for OWC under log-normal turbulent condition.
Photonic Netw. Commun., February, 2024

A Design of Adaptive Genetic Algorithm-Based Optimized Power Amplifier for 5G Applications.
Circuits Syst. Signal Process., January, 2024

2023
Front-End Development for Radar Applications: A Focus on 24 GHz Transmitter Design.
Sensors, December, 2023

2022
A 65 nm Duplex Transconductance Path Up-Conversion Mixer for 24 GHz Automotive Short-Range Radar Sensor Applications.
Sensors, 2022

Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.
Sensors, 2022

A Novel 65 nm Active-Inductor-Based VCO with Improved Q-Factor for 24 GHz Automotive Radar Applications.
Sensors, 2022

A novel dual mode configurable and tunable high-gain, high-efficient CMOS power amplifier for 5G applications.
Integr., 2022

2021
A Novel Optimized V-VLC Receiver Sensor Design Using μGA in Automotive Applications.
Sensors, 2021

Design and Analysis of a Novel 24 GHz Up-Conversion Mixer with Improved Derivative Super-Position Linearizer Technique for 5G Applications.
Sensors, 2021

2020
Low-power low-phase noise VCO for 24 ​GHz applications.
Microelectron. J., 2020


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