A5042300214- Gene expression and cancer classification
- Evolutionary Algorithms and Applications
- Face and Expression Recognition
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Data Classification
- Neural Networks and Applications
- Blood transfusion and management
- Energy Load and Power Forecasting
- Software Engineering Research
- Trace Elements in Health
- Solar Radiation and Photovoltaics
- Infectious Encephalopathies and Encephalitis
- Grey System Theory Applications
- Organ Transplantation Techniques and Outcomes
- Blood donation and transfusion practices
- Vector-borne infectious diseases
- Advanced Malware Detection Techniques
- Software Reliability and Analysis Research
KIIT University
2023
A program’s bug, fault, or mistake that results in unintended is known as a software defect fault. Software flaws are programming errors due to mistakes the requirements, architecture, source code. Finding and fixing bugs soon they arise crucial goal of development can be achieved various ways. So, selecting handful optimal subsets features from any dataset prime approach. Indirectly, classification performance improved through selection features. novel approach feature (FS) has been...
Abstract The dimensions of microarray datasets are very large, containing noise and redundancy. problem with is the presence more features compared to number samples, which adversely affects algorithm performance. In other words, columns exceeds rows. Therefore, extract precise information from datasets, a robust technique required. Microarray play critical role in detecting various diseases, including cancer tumors. This where feature selection techniques come into play. recent times, (FS)...
Microarray data contains a huge amount of features with less number instances. Extraction significant information and knowledge from such that are concealed in this may not be found without the right approaches instruments. As result, techniques can handled explored these big required. For analysis prediction massive sets, field machine learning has many kind tools for analysis. Here, we will examining microarray datsets using traditional algorithms models as Decision Tree (DT), k-nearest...
Platelet concentrates made from cell separators are used more frequently due to less donor exposure and leucodepletion. This retrospective study was done compare plateletpheresis on two separators: Baxter CS 3000 plus Haemonetics MCS 3p. Plateletpheresis procedures, January 1997 April 2002, were included in the study. One hundred seven procedures 3p using SDP protocol, 49 PLP 107 plus. Pre-procedure donor's platelet count haemoglobin comparable all groups. yield (6.44 × 1011 platelets) (5.27...
Microarray datasets have very high dimensions and contain noise redundancy. The issue with the microarray dataset is that it includes more characteristics than samples, which reduces algorithm's effectiveness. To put another way, compared to rows, there are columns. precisely extract data from dataset, we need a powerful approach. essential for diagnosing cancer, tumours, other disorders. So here feature selection strategy in action. Recently, (FS) has gained importance as preparation...
Microarray datasets are critical in detecting cancer, tumor, and various other diseases. The problem with the microarray dataset is that it has more features compared to samples affects performance of algorithm. So, get exact information from dataset, we need a hefty or robust technique. So here comes feature selection technique picture. We will use Genetic Algorithm for combination classification algorithms Random Forest, Decision Tree, Logistic Regression. minimal number be selected large...
Background: Neurological involvement in the form of meningitis or meningoencephalitis, although well documented scrub typhus, has not been extensively studied pediatric population. It is seldom considered differential diagnosis Indian subcontinent. Case Presentation: We report a case Scrub typhus 13year old male child. The Cerebrospinal Fluid (CSF) revealed lymphocytic pleocytosis, raised proteins and normal glucose level. Conclusion : Early prompt institution doxycycline therapy may lead to...