Amrita Chaudhary

ORCID: 0000-0002-1069-0717
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About
Contact & Profiles
Research Areas
  • Mobile Ad Hoc Networks
  • Face and Expression Recognition
  • Vehicular Ad Hoc Networks (VANETs)
  • Brain Tumor Detection and Classification
  • Face recognition and analysis
  • Opportunistic and Delay-Tolerant Networks
  • Mobile Agent-Based Network Management
  • IoT-based Smart Home Systems
  • AI in cancer detection
  • User Authentication and Security Systems
  • Medical Image Segmentation Techniques
  • Digital Imaging for Blood Diseases
  • Energy Efficient Wireless Sensor Networks
  • IoT and Edge/Fog Computing
  • Network Security and Intrusion Detection
  • Biometric Identification and Security
  • Emotion and Mood Recognition
  • Advanced Neural Network Applications

Chandigarh University
2022-2023

One of the most deadly conditions that can afflict both children and adults is a brain tumor. Brain tumors progress rapidly, decreasing patient’s probability survival if they are not effectively treated. The importance finding cancers early cannot be overstated. For variety reasons, including intricacy neuronal structure size, as well form brain, diagnosing challenging. frequent methods for detecting localising tumor magnetic resonance imaging (MRI). Due to complexity their qualities, manual...

10.1109/i2ct57861.2023.10126474 article EN 2022 IEEE 7th International conference for Convergence in Technology (I2CT) 2023-04-07

Facial expression recognition (FER) serves as a rapidly developing and important research space in the domain of pattern identification. Nonverbal communication plays big part daily life, it accounts for roughly 55% to 93% all communication. Robotics, video footage, recognition, home automation, electronic games, patient monitoring, mood disorders anxiety diagnosis, psychoanalysis, paralinguistic are effective applications facial A thorough analysis FER is provided this paper. The literature...

10.1109/icccnt56998.2023.10307556 article EN 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2023-07-06

A research study based on biometric authentication is summarized in this report. The money withdrawal system that uses the focus of research. Since fingerprints are readily available, trustworthy, and highly accurate, they property has been picked out all others. To increase security usability system, finger print recognition technology employed for both identification verification. This offers a succinct examination intellectual underpinnings organizational design fingerprint recognition....

10.1109/gcitc60406.2023.10426103 article EN 2023-12-01

Wireless sensor networks offer a lot of potential to improve our ability see and manage the physical world, but issue power consumption in these has emerged as key factor their dependability many use cases for networks. End-to-end quality parameters wireless sensors must be guaranteed, networks' support service is crucial. The lifespan each network networks, which closely correlated with energy sensors, one most crucial challenges. One difficult tasks types extend network's lifetime....

10.1109/iitcee57236.2023.10090982 article EN 2023-01-27

Emotions play a pivotal role in human life, influencing communication, relationships, and productivity. Recognizing understanding these emotions is crucial, various methods have been explored, including monitoring brain activity. However, traditional approaches, such as electroencephalography (EEG), are costly time-consuming, often yielding accuracy rates ranging from 31% to 81%. In this study, we propose an alternative approach: accurately detecting through facial expressions. Leveraging...

10.1109/gcitc60406.2023.10426305 article EN 2023-12-01
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