- Topic Modeling
- Natural Language Processing Techniques
- Microgrid Control and Optimization
- Semantic Web and Ontologies
- Electric Motor Design and Analysis
- Biomedical Text Mining and Ontologies
- Sensorless Control of Electric Motors
- Advanced Control Systems Optimization
- Control Systems and Identification
- Multilevel Inverters and Converters
- Advanced Text Analysis Techniques
- Expert finding and Q&A systems
- Medical Image Segmentation Techniques
- Advanced Battery Technologies Research
- Fault Detection and Control Systems
- Scientific Computing and Data Management
- Power Quality and Harmonics
- Hybrid Renewable Energy Systems
- Photovoltaic Systems and Sustainability
- Fuel Cells and Related Materials
- Power Line Communications and Noise
- Advanced Data Compression Techniques
- Islanding Detection in Power Systems
- Mind wandering and attention
- Image Retrieval and Classification Techniques
University of Dayton
2023-2025
Washington State University
2024
Seattle University
2024
R.V. College of Engineering
2023-2024
All India Institute of Medical Sciences
2024
University of Delhi
2023
Indian Institute of Technology Indore
2006-2023
St Helens and Knowsley Teaching Hospitals NHS Trust
2023
PES University
2023
Indian Institute of Technology Gandhinagar
2019-2022
Automated story generation is the problem of automatically selecting a sequence events, actions, or words that can be told as story. We seek to develop system generate stories by learning everything it needs know from textual corpora. To date, recurrent neural networks learn language models at character, word, sentence levels have had little success generating coherent stories. explore question event representations provide mid-level abstraction between and sentences in order retain semantic...
Grey Level Co-Occurrence matrix is one of the oldest techniques used for texture analysis. The has two important parameters i.e. distance and direction. In this paper various combinations directional angles GLCM calculation are analyzed in order to recognize certain patterned images based on their textural features. Patterns considered horizontally striped, vertically right diagonally left checkered irregular. Our proposed method achieved a percentage accuracy 96, 98, 90, 96 94 irregular...
This study advances real-time volumetric cloud rendering in Computer Graphics (CG) by developing a specialized shader Unreal Engine (UE), focusing on realistic modeling and lighting. By leveraging ray-casting-based lighting algorithms, this work demonstrates the practical application of dual-layered procedural noise model, eliminating need for conventional two-dimensional (2D) weather textures. The allows procedurally configured skies with defined parameter set, offering flexibility both...
The direct torque control space vector pulse width modulation (DTC-SVPWM) theory has achieved great success in the speed of PMSM drives. A DTC-SVPWM technique been presented this paper. Based on in-depth analysis mathematical model a-b-c frame and α-β are established operation principle system, relationships between fundamental components. novel SVPWM which a feature low harmonic is proposed. proposed adopted to design three-phase large number simulation results show that drives having good...
In-vehicle automated safety features aim to increase safety; however, they are not always perfect. When systems fail, leave the driver unprepared recover quickly and safely. Reliability displays, informing of system's confidence in itself, could help keep drivers aware automation's status when failures occur. This study proposed two metrics for displaying this information driver: automation reliability (AR), a system-centric metric; required engagement (RDE), human-centric metric. Visual...
The massive increase in development, deployment and usage of IoT has given rise to smart cities. These city devices have the ability perform communications on their own which require free flow data. interconnectivity also resulted exponential growth data being processed, making it susceptible intrusion attacks. Traditional IDS systems are not designed work efficiently an network as these restricted resources sparse functionality. To tackle cyber security threats IoT, MCIDS (Multi Classifier...
The increasing global warming concerns and diminishing fossil fuels have made us necessary to look for alternative sources of energy. Fuel Cell technology holds promise towards sustainable power generation, it being pollution free using readily available fuels. This paper presents the modeling, control design analysis a three-phase Grid-interactive system with active filter functions. main focus this is supplied by Distributed Generation while compensating harmonics reactive currents caused...
In this paper, a novel phase locked loop less control algorithm for harmonic and reactive power compensation with factor improvement using three-phase shunt active filter under non-ideal mains voltage conditions is presented. The performance of APF mainly depends upon how quickly accurately signal are estimated. artificial neural network trained conventional compensator data, can deliver signals more at varied load condition. non-sinusoidal problem resolved by network-based system which...
This paper presents the modelling and control of grid interfaced Distributed Generation (DG) system with embedded active filter function. The output DG is given to DC side Voltage Source Inverter for interfacing Grid. In presented work, features Active Power Filter have been incorporated in circuit current controlled-voltage source inverter grid. Thus same utilised inject power generated from Grid also act as Shunt compensate load harmonics reactive demand. Thus, after compensation,...
This paper presents space vector PWM (SVPWM) technique for Direct torque Control of induction motor drive, SVPWM gives the lower ripples in current and voltage with low distortion. Further switching losses are reduced a given frequency due to single transition takes place each state vector. The PI-control (PIC) doesn't give good dynamic performance drive using two level Voltage Source Inverter sudden changes load speed. Further, improve Flux is simulated type-2 fuzzy logic control...
In this paper, we investigate the career path prediction of an individual in future. This benefits a variety application industry including enhancing human resources, guidance, and keeping track future trends. To end, collected dataset via LinkedIn network, with job position domain for each individual. There are many attributes related to historical background For prediction, six different multi-class multi-output classification methods. Via benchmark suite, best classifier achieves accuracy...