DK
Dr. Abubeker K M
Amal Jyothi College of Engineering
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · Smart Agriculture and AI · Non-Invasive Vital Sign Monitoring
0000-0001-7646-0781
Employment
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Amal Jyothi College of Engineering Associate professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (35)
- An Edge-Enabled Visual Sensing and LoRaWAN Telemetry Framework for Real-Time Parakeet Detection and Deterrence in Banana Plantations Save
- An Efficient KServe-Based Deep Learning Pipeline for Lung Cancer Detection with Enhanced Observability Save
- L-Net: a lightweight CNN framework for sustainable multicrop leaf disease detection and classification on edge devices Save
- Optimized Agricultural Plant Classification by Leaves Using VGG-19 and VGG-16 Convolutional Neural Networks Save
- A scalable MLOps-integrated intrusion detection framework using Bi-GRU and attention mechanisms with Kubeflow and KServe Save
- A depth-wise separable VGG19-capsule network for enhanced bell pepper and grape leaf disease classification with ensemble activation Save
- Explainable artificial intelligence for detecting lung cancer Save
- Analysis of Pepper Leaf Diseases Based on Bell CNN Architecture Save
- LoRaWAN and artificial intelligence integrated smart acoustic sensor network for bird species identification and deterrence system for farm protection Save
- SPP_CNN: Spatial Pyramid Pooling for Optimizing Brain Tumor Classification Save
- Internet of things assisted deep learning enabled driver drowsiness monitoring and alert system using CNN-LSTM framework Save
- Correction to: A transformer based real-time photo captioning framework for visually impaired people with visual attention Save
- Internet-of-Things-Assisted Wireless Body Area Network-Enabled Biosensor Framework for Detecting Ventilator and Hospital-Acquired Pneumonia Save
- A transformer based real-time photo captioning framework for visually impaired people with visual attention Save
- Computer Vision-Assisted Smart ICU Framework for Optimized Patient Care Save
- Comparative Evaluation of Activation Functions for Bacterial Spot Disease Classification in Bell Pepper Plant Leaves Save
- LoRaWAN-Based Artificial Intelligence Intensive Care Unit Framework for Tracking Patients With Severe Pneumonia Save
- Computer Vision Assisted Real-Time Bird Eye Chili Classification Using YOLO V5 Framework Save
- Internet-of-Things-Assisted Artificial Intelligence-Enabled Drowsiness Detection Framework Save
- A Hand Hygiene Tracking System With LoRaWAN Network for the Abolition of Hospital-Acquired Infections Save