R. Nidhya
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Automated Weed Detection in Crop Fields Using Convolutional Neural Networks: A Deep Learning Approach for Smart Farming Open
Deep learning is a part of modern machine learning that includes deep belief networks, deep neural networks, and recurrent neural networks. Computer vision, audio processing, and language comprehension are the most important sectors of dee…
Exploring fMRI Biomarkers for Early Autism Prediction in Fragile X Syndrome Open
Neurodevelopmental disorders like Autism Spectrum Disorder (ASD) and Fragile X Syndrome (FXS) often share similar behavioral and cognitive traits, which can make diagnosis and treatment more complex. While ASD typically arises from a mix o…
Transforming rural healthcare: a mobile app for digital consultation and diagnostics Open
Access to quality medical care is essential for maintaining a healthy life, yet it remains challenging for many, particularly in addressing health issues promptly and effectively. Digital diagnostics and virtual consultations are transform…
AI-DRIVEN SECURITY FRAMEWORK FOR ENHANCED THREAT DETECTION IN MOBILE SATELLITE NETWORKS Open
The increasing reliance on Mobile Satellite Networks (MSNs) for secure and reliable global communication has led to heightened concerns over cybersecurity threats. Traditional security mechanisms often struggle to counter adaptive and soph…
View article: Modelling a Reliable Multimedia Transmission Approach for Medical Wireless Sensor Networks
Modelling a Reliable Multimedia Transmission Approach for Medical Wireless Sensor Networks Open
Advancement in wireless and communication technologies has remarkably boosted healthcare services such as Medical WSN. Protecting the patient's health‐related data against malicious activities is also essential. It is mandatory to ensure i…
A Lightweight Attention based MobileNetv2 Model for Brain Tumor Segmentation and Severity of Tumor Classification using Support Vector Machine Open
Brain tumors are lumps of aberrant tissue that can develop into cancer and have a significant negative influence on a person's health. MRI scans of the brain can reveal them. Segmentation and classification are two elements in these approa…
A secured and optimized deep recurrent neural network (DRNN) scheme for remote health monitoring system with edge computing Open
Patients now want a contemporary, advanced healthcare system that is faster and more individualized and that can keep up with their changing needs. An edge computing environment, in conjunction with 5G speeds and contemporary computing tec…
A Study on Requirements, Challenges and Applications of Wireless Body Area Network Open
Body Area Network (BAN) or Body Sensor Network (BSN) has became the most emerged research technology because of the recent advancement in wireless sensor networks. This has also provided many opportunities for researchers on wireless netwo…