Deep learning approach for diabetes prediction using PIMA Indian dataset H Naz, S Ahuja Journal of Diabetes & Metabolic Disorders 19, 391-403, 2020 | 270 | 2020 |
Multilayer perceptron based deep neural network for early detection of coronary heart disease N Masih, H Naz, S Ahuja Health and Technology 11, 127-138, 2021 | 33 | 2021 |
DT-FNN based effective hybrid classification scheme for twitter sentiment analysis H Naz, S Ahuja, D Kumar, Rishu Multimedia Tools and Applications 80, 11443-11458, 2021 | 15 | 2021 |
SMOTE-SMO-based expert system for type II diabetes detection using PIMA dataset H Naz, S Ahuja International Journal of Diabetes in Developing Countries 42 (2), 245-253, 2022 | 13 | 2022 |
Latest trends in emotion recognition methods: Case study on emotiw challenge H Haz, S Ahuja International Journal of Advanced Computer Research 10 (01), 2020, 2020 | 8 | 2020 |
Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition H Naz, R Nijhawan, NJ Ahuja, S Al-Otaibi, T Saba, SA Bahaj, A Rehman IEEE Access 11, 120554-120568, 2023 | 6 | 2023 |
An automated unsupervised deep learning–based approach for diabetic retinopathy detection H Naz, R Nijhawan, NJ Ahuja Medical & Biological Engineering & Computing 60 (12), 3635-3654, 2022 | 5 | 2022 |
IoT-inspired smart healthcare service for diagnosing remote patients with diabetes H Naz, R Sharma, N Sharma, S Ahuja Machine learning for edge computing, 97-114, 2022 | 5 | 2022 |
An Improved Robust Fuzzy Local Information K-Means Clustering Algorithm for Diabetic Retinopathy Detection H Naz, T Saba, FS Alamri, AS Almasoud, A Rehman IEEE Access, 2024 | 2 | 2024 |
Clinical utility of handheld fundus and smartphone-based camera for monitoring diabetic retinal diseases: a review study H Naz, R Nijhawan, NJ Ahuja International Ophthalmology 44 (1), 41, 2024 | 2 | 2024 |
DT-DL Based Hybrid Approach for Early Detection of Diabetes Using PIMA Dataset H Naz, R Nijhawan, NJ Ahuja 2022 10th International Conference on Reliability, Infocom Technologies and …, 2022 | 2 | 2022 |
Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study H Naz, NJ Ahuja, R Nijhawan Artificial Intelligence Review 57 (5), 1-66, 2024 | 1 | 2024 |
Micro‐segmentation of retinal image lesions in diabetic retinopathy using energy‐based fuzzy C‐Means clustering (EFM‐FCM) H Naz, R Nijhawan, NJ Ahuja, T Saba, FS Alamri, A Rehman Microscopy Research and Technique 87 (1), 78-94, 2024 | 1 | 2024 |
Tea Vending Machine from Extracts of Natural Tea Leaves and Other Ingredients: IoT and Artificial Intelligence Enabled N Sharma, RKK Ramachandran, H Naz, R Sharma Machine Learning for Edge Computing, 37-52, 2022 | 1 | 2022 |
An efficient densenet-based deep learning model for Big-4 snake species classification H Naz, R Chamola, J Sarafraz, M Razabizadeh, S Jain Toxicon 243, 107744, 2024 | | 2024 |
RetinaCare: Diabetic Retinopathy Detection with VGG16-based Web Application H Naz, NJ Ahuja 2024 11th International Conference on Reliability, Infocom Technologies and …, 2024 | | 2024 |