A5032476929- Software Engineering Research
- Software Reliability and Analysis Research
- Artificial Intelligence in Healthcare
- Software Engineering Techniques and Practices
- Multi-Criteria Decision Making
- Quality Function Deployment in Product Design
- Advanced Malware Detection Techniques
- AI in cancer detection
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Usability and User Interface Design
- Network Security and Intrusion Detection
- Machine Learning in Healthcare
- Brain Tumor Detection and Classification
- Software System Performance and Reliability
- Radiomics and Machine Learning in Medical Imaging
- Optimization and Mathematical Programming
- Imbalanced Data Classification Techniques
- Mobile Health and mHealth Applications
- Web Data Mining and Analysis
- Medical Image Segmentation Techniques
- Retinal Imaging and Analysis
- Spam and Phishing Detection
- COVID-19 diagnosis using AI
- Data Mining Algorithms and Applications
Amity University
2015-2024
Memorial University of Newfoundland
2023
Sickle Cell Institute Chhattisgarh, Raipur
2023
Sustainability Institute
2023
Mahatma Gandhi Memorial Medical College
2014-2022
Guru Gobind Singh Indraprastha University
2014-2022
Kalinga University
2020
Rajendra Institute of Medical Sciences
2020
Dr. Hari Singh Gour University
2011-2019
Amity University
2013-2019
Object recognition is one of the challenging application computer vision, which has been widely applied in many areas for e.g. autonomous cars, Robotics, Security tracking, Guiding Visually Impaired Peoples etc. With rapid development deep learning algorithms were improving relationship between video analysis and image understanding. All these work differently with their network architecture but same aim detecting multiple objects within complex image. Absence vision impairment restraint...
Many organizations assess the maintainability of software systems before they are deployed. Object-oriented design has been shown to be a useful technique develop and deliver quality software. Objectoriented metrics can used system. Various models have developed described. This paper provides review this literature related state-of-the-art. It also proposes model that is based on analysis relationship between object-oriented maintainability.
The measurement of Information Technology success is critical for any organization. Understanding value the solutions need every management, researchers and practitioners taking efficient decisions. Resource based view contingency theory have been used by to measure IT Business Value (ITBV). Various studies examined relationship between technology organizational performance. measuring ITBV ongoing research area. Analytics area deriving knowledge from raw data using statistical quantitative...
To accomplish software quality, correct estimation of maintainability is essential. However there a complex and non-linear relationship between object-oriented metrics maintainability. Thus can be predicted by applying sophisticated modeling techniques like artificial neural network. Multilayer Perceptron network chosen for the present study because its robustness adaptability. This paper presents prediction using (MLP) model compares results this investigation with other models described...
Hadoop Distributed file System is used for processing, storing and analyzing very large amount of unstructured data. It stores the data reliably provides fault tolerance, fast scalable access to information. with MapReduce, which a programming model. HDFS Map Reduce are core components Hadoop. framework tools scale computation processing sets. As we know information exponentially increasing in current era therefore technology like Hadoop, Cassandra File System, etc became preferred choice...
A thorough knowledge of the physical, chemical and biological characteristics an industrial waste is a crucial requirement for any attempt at and/or treatment waste. Hence present study was aimed to assess physicochemical cyanobacterial on different effluents. In study, effluents from two places, paper mill pharmaceutical industries, were selected determine biodiversity. It revealed that both studied more or less similar. Total 25 species cyanobacteria found be distributed in which twenty...
Usability plays a key role in Human Computer Interaction (HCI). The eye tracking research is extensively being incorporated to study the usability issues. Substantial literature exists and extensive has been done till now regarding eye-tracking systems resolve problems how it can be measured with respect real time. This paper presents issues scope of implementing test usable interface which covers various paradigms such as usability, psychological aspects, market research, etc. It introduces...
Thyroid is one of the most common disease found in people nowadays which occur due to disorder thyroid gland that include hypothyroidism (inactive gland) and hyperthyroidism (hyperactive can take place at any age either sex. Therefore their prior diagnosis detection very crucial helpful for betterment human life. Large amount complex data collected by healthcare sector order identify hidden patterns effective identification, decision making. Data mining has become a current trend achieving...
Healthcare informatics is one of the major concern domains in processing medical imaging for diagnosis and treatment brain tumours all over world. Timely abnormal structures helps clinical applications, medicines, doctors etc. analysing imaging. The multi-class image classification faces challenges such as scaling large dataset, training datasets, efficiency, accuracy EfficientNetB3 neural network scales images three dimensions resulting improved accuracy. novel framework utilizes...
An important part of healthcare is disease risk assessment, which aids in early diagnosis, prevention, and personalized treatment plans. Symptoms, as major indications underlying health issues, provide critical information for appropriate assessment. This review paper investigates the junction Symptom Driven Disease Risk Assessment using Artificial Intelligence, providing an in-depth examination current advances problems this field. Through holistic approach to prediction recommendations,...
A growing variety of cyber hazards are appearing as the world becomes more and digital. The sophistication rate innovation emerging threats puts organizations all sizes at danger, traditional cybersecurity solutions frequently fall short keeping up. Threat intelligence powered by artificial intelligence, or AI-TI, offers a fresh cutting-edge method for tackling issues. To find patterns anomalies that could point to cyber-attack, AI-TI can examine massive amounts data from sources, including...
Anaemia is a serious health condition caused primarily by deficiency of iron in the body.In India cases anaemia are on an alarmingly high rate affecting pregnant women, men and children alike.Malnutrition has been identified as primary cause deficiency.The treatment can be accomplished adhering to stringent diet plan containing all critical nutrients right amount.This makes it complex process pick most relevant among available ones.Our objective here pertains determining best for patient...
Jaundice is a disease caused due to alarmingly high level of bilirubin.This prevails in places with low sanitation and inability access nutrient enriched diet.In the Indian perspective, jaundice severe menace affecting many people including infants, ladies men.To cure jaundice, bilirubin levels need be lowered which can done by proper diet incorporating multiple critical nutrients right proportion along medication.This makes it an incredibly complex process.The proposed paper recommends...