A Quad-Port Nature-Inspired Lotus-Shaped Wideband Terahertz Antenna for Wireless Applications DOI Creative Commons

Jeenal Raghunath,

Praveen Kumar,

Tanweer Ali

et al.

Journal of Sensor and Actuator Networks, Journal Year: 2023, Volume and Issue: 12(5), P. 69 - 69

Published: Sept. 21, 2023

This article is aimed at designing an inventive compact-size quad-port antenna that can be operated within terahertz (THz) frequency spectra for a 6G high-speed wireless communication link. The single-element comprises lotus-petal-like radiating patch and defected ground structure (DGS) on 20 × 2 µm3 polyamide substrate designed to operate the 8.96–13.5 THz range. deployed two-port MIMO configuration having size of 46 with interelement separation less than quarter-wavelength 0.18λ (λ 9 THz). operates in 9–13.25 range, better −25 dB isolation. Further, mirrored vertically 0.5λ form four-port configuration. proposed has dimensions range 9–13 THz. Isolation improvement realized by incorporating parasitic elements onto plane. Performance analysis terms diversity parameters, viz., envelope correlation coefficient (ECC) < 0.05, gain (DG) ≈ 10, mean effective (MEG) −3 dB, total active reflection (TARC) −10 channel capacity loss (CCL) 0.3 bps/Hz, multiplexing efficiency (ME) 0 performed justify appropriateness applications. virtuous radiation properties good gain, which crucial any system, especially network.

Language: Английский

Terahertz Imaging and Sensing for Healthcare: Current Status and Future Perspectives DOI Creative Commons
Mavis Gezimati, Ghanshyam Singh

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 18590 - 18619

Published: Jan. 1, 2023

There is a keen interest in the exploration of new generation emitters and detectors due to advancements innovation materials device processing technologies which have opened up frontiers Terahertz (THz) spectrum. Therefore, it necessary review developments THz technology for healthcare applications, their impact, implications prospects ongoing research development. This paper provides broad overview current status application imaging sensing domain. We present knowledge, identify existing challenges wide scale clinical adoption systems prospective opinions facilitate development towards optimized miniaturized biosensors that provide real operational convenience through emerging trends. Firstly, we an techniques exploit properties detection with emphasis on terahertz time domain spectroscopy (THz-TDS) Metamaterials. The mechanisms tissue image contrast biomedical applications particular, cancer reported. Secondly, outlook toward interface 4.0 its enabling explored next smart connected systems. Third, merits suggest pave way future research. Further, discuss recent advances contribution near-field based plasmonic, resonance metasurfaces, waveguides etc. breaking diffraction limit are convenient point care. bring researchers roadmap scope.

Language: Английский

Citations

66

6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges DOI Creative Commons
Robin Chataut, Mary Nankya,

Robert Akl

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(6), P. 1888 - 1888

Published: March 15, 2024

In the rapidly evolving landscape of wireless communication, each successive generation networks has achieved significant technological leaps, profoundly transforming way we connect and interact. From analog simplicity 1G to digital prowess 5G, journey mobile been marked by constant innovation escalating demands for faster, more reliable, efficient communication systems. As 5G becomes a global reality, laying foundation an interconnected world, quest even advanced leads us threshold sixth-generation (6G) era. This paper presents hierarchical exploration 6G networks, poised at forefront next revolution in technology. study delves into advancements that underpin need 6G, examining its key features, benefits, enabling technologies. We dissect intricacies cutting-edge innovations like terahertz ultra-massive MIMO, artificial intelligence (AI), machine learning (ML), quantum reconfigurable intelligent surfaces. Through meticulous analysis, evaluate strengths, weaknesses, state-of-the-art research these areas, offering wider view current progress potential applications networks. Central our discussion is transformative role AI shaping future By integrating ML, are expected offer unprecedented capabilities, from enhanced broadband groundbreaking areas smart cities autonomous integration heralds new era intelligent, self-optimizing promise redefine parameters connectivity interaction. also address critical challenges deployment hurdles regulatory concerns, providing holistic assessment barriers. highlighting interplay between technologies, this maps out lights path forward domain. aims be cornerstone resource, essential insights, addressing unresolved questions, stimulating further investigation multifaceted realm synergy aim illuminate field.

Language: Английский

Citations

42

A novel design of THz resonance gas sensor with advanced 2-bit encoding capabilities DOI
Abdullah Baz, Jacob Wekalao, Shobhit K. Patel

et al.

Optical and Quantum Electronics, Journal Year: 2024, Volume and Issue: 56(9)

Published: Sept. 5, 2024

Language: Английский

Citations

22

Design of terahertz metamaterial absorbers with switchable absorption functions utilizing thermal and electrical dual-modulation strategies DOI

Xuefeng Qin,

Sijun Fang,

Guiyuan Duan

et al.

Nanoscale, Journal Year: 2024, Volume and Issue: 16(34), P. 16238 - 16250

Published: Jan. 1, 2024

An integrated terahertz metamaterial absorber, based on thermal and electrical dual-modulation strategies, with two different tunable absorption functions is demonstrated.

Language: Английский

Citations

21

Metasurface Based Surface Plasmon Resonance (SPR) Biosensor for Cervical Cancer Detection with Behaviour Prediction using Machine Learning Optimization Based on Support Vector Regression DOI
Jacob Wekalao,

Mouleeswaran Singanallur Kumaresan,

Srinivasan Mallan

et al.

Plasmonics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

Language: Английский

Citations

21

Terahertz metasurface biosensor for high-sensitivity salinity detection and data encoding with machine learning optimization based on random forest regression DOI
Jacob Wekalao,

Ngaira Mandela

Optical and Quantum Electronics, Journal Year: 2024, Volume and Issue: 56(11)

Published: Nov. 4, 2024

Language: Английский

Citations

18

Graphene-Enhanced Terahertz Metamaterial Biosensor for Tuberculosis Detection with XGBoost-Based Machine Learning Optimization DOI
Jacob Wekalao

Plasmonics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

Citations

15

High-Sensitivity Terahertz Gas Sensor Using Graphene-Enhanced Metasurfaces with Machine Learning Optimization DOI
Jacob Wekalao

Plasmonics, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

Language: Английский

Citations

9

Highly Sensitive Malaria Detection Using a Graphene-Coated Dual Circular Ring Resonator Biosensor with behaviour Prediction based on Stacking Ensemble DOI
Jacob Wekalao, Stephen Maina Njoroge, Oumaymah Elamri

et al.

Physics Letters A, Journal Year: 2025, Volume and Issue: unknown, P. 130398 - 130398

Published: Feb. 1, 2025

Language: Английский

Citations

7

Graphene-Based Metasurface Terahertz Biosensing Platform for Accurate Alpha-Fetoprotein Detection in Liver Cancer Diagnosis Enhanced with Machine Learning Optimization DOI
Jacob Wekalao, Abdulkarem H. M. Almawgani,

Refka Ghodhbani

et al.

Plasmonics, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Language: Английский

Citations

6