P. Mohamed Shakeel
Technical University of Malaysia Malacca(MY)Universitas Teknologi Yogyakarta(ID)
Publications by Year
Research Areas
IoT and Edge/Fog Computing, Brain Tumor Detection and Classification, Energy Efficient Wireless Sensor Networks, AI in cancer detection, Vehicular Ad Hoc Networks (VANETs)
Most-Cited Works
- → Lung cancer detection from CT image using improved profuse clustering and deep learning instantaneously trained neural networks(2019)294 cited
- → Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensor(2019)228 cited
- → Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier(2020)222 cited
- → Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System(2019)213 cited
- → RETRACTED ARTICLE: Maintaining Security and Privacy in Health Care System Using Learning Based Deep-Q-Networks(2018)191 cited
- → RETRACTED ARTICLE: An adaptive fuzzy rule based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system(2018)163 cited
- → RETRACTED ARTICLE: Automatic detection of lung cancer from biomedical data set using discrete AdaBoost optimized ensemble learning generalized neural networks(2019)144 cited
- → Cloud based framework for diagnosis of diabetes mellitus using K-means clustering(2018)138 cited
- → A dynamic and interoperable communication framework for controlling the operations of wearable sensors in smart healthcare applications(2019)129 cited
- → Machine Learning Approach-Based Gamma Distribution for Brain Tumor Detection and Data Sample Imbalance Analysis(2018)126 cited