A5022982626- ZnO doping and properties
- Antenna Design and Analysis
- Copper-based nanomaterials and applications
- Mobile Ad Hoc Networks
- Ga2O3 and related materials
- EEG and Brain-Computer Interfaces
- Energy Harvesting in Wireless Networks
- Opportunistic and Delay-Tolerant Networks
- Antenna Design and Optimization
- Energy Efficient Wireless Sensor Networks
- Advanced Antenna and Metasurface Technologies
- Microwave Engineering and Waveguides
- Advanced MIMO Systems Optimization
- Vehicular Ad Hoc Networks (VANETs)
- Gas Sensing Nanomaterials and Sensors
- Security in Wireless Sensor Networks
- Neuroscience and Neural Engineering
- Optical Network Technologies
- Geophysical Methods and Applications
- Advanced Sensor and Energy Harvesting Materials
- Advanced Photonic Communication Systems
- Blind Source Separation Techniques
- ECG Monitoring and Analysis
- Quantum Dots Synthesis And Properties
- Magneto-Optical Properties and Applications
Guru Nanak Dev University
2012-2024
Amity University
2023
In this study, a precipitation method was used to synthesise ZnO nanoparticles using suitable precursors. An efficient surface modification proposed in order reduce the agglomeration among synthesised small sized 2-aminothiophenol as capping agent. This article briefly investigated effects of agent like on optoelectronic properties nanoparticles. The modified effectivity has been examined nanosized nanoparticle for fluorescence and UV–visible (UV–vis) studies. mechanism studied light...
Abstract In the present study, pure ZnO and Fe-doped (Zn 0.97 Fe 0.03 O) nanoparticles were synthesized by simple coprecipitation method with zinc acetate, ferric nitrate sodium hydroxide precursors. Pure further calcined at 450 °C, 600 °C 750 for 2 h. The structural, morphological optical properties of samples characterized X-ray diffractometer (XRD), scanning electron microscope (SEM), energy dispersive spectroscopy (EDS) UV-Vis absorption spectroscopy. diffraction studies revealed that...
Autism spectrum disorder (ASD), a neurodevelopment disorder, is characterized by significant difficulties in social interaction and emerges as major threat to children. Its computer-aided diagnosis used neurologists improves the detection process has favorable impact on patients’ health. Currently, biomarker termed electroencephalography (EEG) considered vital tool detect abnormal electrical activity brain. In this context, present paper brings forth novel approach for automated of ASD from...