Faculty Member, PhD
Femilda Josephin Joseph Shobana Bai
Bilgisayar Bilimleri ve Mühendisliği
Çalışma Alanları
- Mühendislik Temel Alanı
- Bilgisayar Bilimleri ve Mühendisliği
- Yapay Zeka
- Bilgisayar ve İletişim Ağları
- Bilgi Güvenliği ve Kriptoloji
- Application of machine learning algorithms for predicting the engine characteristics of a wheat germ oil–Hydrogen fuelled dual fuel engine, 2023
- Efficacy of machine learning algorithms in estimating emissions in a dual fuel compression ignition engine operating on hydrogen and diesel, 2023
- Application of Taguchi design in optimization of performance and emissions characteristics of n-butanol/diesel/biogas under dual fuel mode, 2023
- Development of artificial neural network and response surface methodology model to optimize the engine parameters of rubber seed oil – Hydrogen on PCCI operation, 2023
- Doppler shift with Archimedes Optimization Algorithm for localizing unknown nodes in underwater sensor networks, 2023
- A Machine Learning Approach for Carbon di oxide and Other Emissions Characteristics Prediction in a Low Carbon Biofuel-Hydrogen Dual Fuel Engine, 2023
- A study on the feasibility of bergamot peel oil-gasoline blends for spark-ignition engines, 2022
- Study on the effect of 2-butoxyethanol as an additive on the combustion flame, performance and emission characteristics of a spark ignition engine, 2021
- A study on biofuel produced by catalytic cracking of mustard and castor oil using porous Hβ and AlMCM-41 catalysts, 2021
- Analysis of performance, emission, combustion and endoscopic visualization of micro-arc oxidation piston coated SI engine fuelled with low carbon biofuel blends, 2021
- Social Network Routing with Caching in Delay Tolerant Wireless Sensor Networks, 2018
- Predicting the different engine parameters of a rubber seed oil-ethanol dual fuel engine using artificial neural networks, 2018
- Study of engine performance, emission and combustion characteristics fueled with diesel-like fuel produced from waste engine oil and waste plastics, 2018
- Integrated social network reputation inspired routing for effective data forwarding, 2014
- A Robust Multi-unit Feature-Level Fusion Framework for Iris Biometrics, 2020
- Review on various authentication schemes and attacks on connected vehicles, 2020
- A comprehensive review of various data collection approaches, features, and algorithms used for the classification of driving style, 2020
- A review on the measures and techniques adapted for the detection of driver drowsiness, 2020
- Analyzing Various Machine Learning Algorithms for the Classification of Malwares, 2020
- RESPIRONET: Leveraging UNET Architecture for Effective COVID-19 Severity Prediction from Pulmonary CT Images, 2023
- _COMPARING THE PERFORMANCE OF BOOSTING AND BAGGING ENSEMBLE METHODS FOR PREDICTING THE REMAINING USEFUL LIFE OF LITHIUM ION BATTERY, 2022
- BATTERY LIFETIME PREDICTION USING ENSEMBLE AND NON-ENSEMBLE MACHINE LEARNING ALGORITHMS, 2022
- PREDICTION OF CARBON DI OXIDE AND OTHER EMISSIONS CHARACTERISTICS OF LOW CARBON BIOFUEL-HYDROGEN DUAL FUEL ENGINE - A MACHINE LEARNING APPROACH, 2022
- Secured Congestion Control in VANET Using Greedy Perimeter Stateless Routing (GPSR), 2020
- Edge Computing and Computational Intelligence Paradigms for the IoT, ISBN: 9781522585558, 2019