A5059313873- Software Engineering Research
- Smart Agriculture and AI
- Software Engineering Techniques and Practices
- Software Reliability and Analysis Research
- Artificial Intelligence in Healthcare
- Anomaly Detection Techniques and Applications
- AI in cancer detection
- Software Testing and Debugging Techniques
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Spectroscopy and Chemometric Analyses
- COVID-19 diagnosis using AI
- Brain Tumor Detection and Classification
- Remote-Sensing Image Classification
- Geochemistry and Geologic Mapping
- IoT and Edge/Fog Computing
- Data Stream Mining Techniques
- Machine Learning and Data Classification
- Advanced Image and Video Retrieval Techniques
- Neural Networks and Applications
- Imbalanced Data Classification Techniques
- Big Data and Business Intelligence
- Digital Imaging for Blood Diseases
- Business Process Modeling and Analysis
- Time Series Analysis and Forecasting
Manipal Academy of Higher Education
2012-2025
Manipal University Jaipur
2015-2024
Kafrelsheikh University
2021
VSB - Technical University of Ostrava
2021
Polish Academy of Sciences
2021
Art Institute of Portland
2021
Artificial Intelligence in Medicine (Canada)
2021
Cairo University
2021
Sikkim Manipal University
2010-2012
Verizon (United States)
2002
Abstract Imbalance in dataset enforces numerous challenges to implement data analytic all existing real world applications using machine learning. Data imbalance occurs when sample size from a class is very small or large then another class. Performance of predicted models greatly affected highly imbalanced and increases. Overall, Imbalanced training have major negative impact on performance. Leading learning technique combat with by focusing avoiding the minority reducing inaccuracy for...
Android malware has been rising alongside the popularity of operating system. Attackers are developing malicious that undermines ability detecting systems and circumvents such by obfuscating their disposition. Several machine learning deep techniques have proposed to retaliate problems; nevertheless, they demand high computational power not energy efficient. Hence, this article presents an approach distinguish between benign malware, which is robust, cost-efficient, energy-saving...
Software development effort estimation is one of the most major activities in software project management. A number models have been proposed to make estimations but still no single model can predict accurately. The need for accurate industry a challenge. Artificial Neural Network be used carrying out developing & this field Soft Computing suitable estimations. present paper concerned with comparing results various artificial neural network predicting estimation. available MATLAB tools were...
With the extensive use of Android applications, malware growth has been increasing drastically. The high popularity devices motivated developers to attack these devices. In recent times, most researchers and scholars have used deep learning approaches detect malware. Although techniques provide good accuracy efficiency, they require computational cost train huge complex data sets. Hence, there is a need for an approach that can efficiently novel variants with minimum cost. This paper...
Robotic Process Automation RPA is a technological revolution in the offing and aimed at taking up mundane repetitive tasks from people rsquo s daily workload It throws new vista of research to researcher community lot many works are going on this domain not Robotics but different technology altogether recent fast growing sub In paper authors highlight key aspects about review its usage all important healthcare
India has significant food production potential that can be used to meet the needs of our planet. The north region India, in particular, is suitable for citrus fruit, which great interest regional businesses. To fully utilize these capabilities, early detection diseases, pests, and nutritional deficiencies, as well timely management issues, must ensured. This necessitates development solutions aid conditions. Because current relevance deep learning image analysis, it was decided propose a...
Machine learning is a branch of computer science concerned with developing algorithms & models capable ‘learning through data and iterations’. Deep simulates the structure function human organs diseases using artificial neural networks more than one hidden layer. The primary purpose this work to develop test vision machine for classifying Huanglongbing (HLB)-infected, healthy, unhealthy leaves fruits citrus plant. images were segmented normalized graph cut, texture...
In order to implement Sequential Bayesian estimator using Monte carlo simulation and get rid of limitations Kalman filter, Particle filtering techniques plays a very crucial role for target tracking applications in state space where Importance sampling approximately distributed by posterior distribution with multimodel feature robustness noise. However as the particles becomes large, Carlo representation nearly equivalent analytical description characterization distributions has some...