A5045588232- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Software System Performance and Reliability
- IoT-based Smart Home Systems
- Software Engineering Research
- Advanced Malware Detection Techniques
- Fire Detection and Safety Systems
- Digital and Cyber Forensics
- Internet of Things and Social Network Interactions
- Spacecraft Design and Technology
- Satellite Communication Systems
Daffodil International University
2017-2020
Software fault prediction and proneness has long been considered as a critical issue for the tech industry software professionals. In traditional techniques, it requires previous experience of faults or faulty module while detecting inside an application. An automated recovery models enable to significantly predict recover using machine learning techniques. Such ability feature makes run more effectively reduce faults, time cost. this paper, we proposed defect predictive development...
The principal goal of fire monitoring system is to react promptly a and not misleading particulate signatures produced by nuisance sources. In this paper we proposed that only able detect prevent at early stages but also capable interact with surround environment. Recent researches lead us light heat sensor, image processing, smoke detection mechanism failed integrate those in one advancement on technologies has been significant over the last few decade due rapid progress communication...