A5101841384- Advanced Neural Network Applications
- Optical Network Technologies
- Energy Harvesting in Wireless Networks
- Automated Road and Building Extraction
- Autonomous Vehicle Technology and Safety
- Neuroscience and Neural Engineering
- Advanced Sensor and Energy Harvesting Materials
- Antenna Design and Analysis
- Optical Wireless Communication Technologies
- Muscle activation and electromyography studies
- Vehicle License Plate Recognition
- Hybrid Renewable Energy Systems
- Wireless Body Area Networks
- Video Surveillance and Tracking Methods
- Advanced Photonic Communication Systems
- Microgrid Control and Optimization
- Advanced Battery Technologies Research
Mahendra Institute of Management and Technical Studies
2020-2022
Many Coronavirus disease 2019 (COVID-19) and post-COVID-19 patients experience muscle fatigues. Early detection of fatigue muscular paralysis helps in the diagnosis, prediction, prevention COVID-19 patients. Nowadays, biomedical clinical domains widely used electromyography (EMG) signal due to its ability differentiate various neuromuscular diseases. In general, nerves or muscles spinal cord influence numerous disorders. The examination plays a major role early finding diagnosis these...
In recent decades, automatic vehicle classification plays a vital role in intelligent transportation systems and visual traffic surveillance systems. Especially countries that imposed lockdown (mobility restrictions help reduce the spread of COVID-19), it becomes important to curtail movement vehicles as much possible. For an effective system, is essential detect from images classify into different types (e.g., bus, car, pickup truck). Most existing research studies focused only on...
Visible Light Communication (VLC) is a promising field in optical wireless communications, which uses the illumination infrastructure for data transmission. The important features of VLC are electromagnetic interference-free, license-free, etc. Additionally, Multiple-Input-Multiple-Output (MIMO) techniques enabled enhancing limited modulation bandwidth by its spectral efficiency. transmission through MIMO-VLC system corrupted different interferences, namely thermal noise, shot noise and...
In recent trends, renewable energies are infinite, safe, and becoming a reliable source for electricity requirements. However, they have certain variations in their results because of climate change, which is its major issue. To solve this challenge, hybrid energy system was created by combining various sources. Energy management strategies must be employed to determine the best possible performance energy-based systems, as well fulfil demand improve efficiency. This work describes an...
Connected autonomous vehicles (CAVs) currently promise cooperation between vehicles, providing abundant and real-time information through wireless communication technologies. In this paper, a two-level fusion of classifiers (TLFC) approach is proposed by using deep learning to perform accurate road detection (RD). The TLFC-RD improves the classification considering four key strategies such as cross fold operation at input pre-processing superpixel generation, adequate features,...