Search
136 articles for “cluster analysis”
-
To Find the Nucleotide and Protein Sequence of AMYLASE in Homo Sapiens in FASTA Format
Abstract: Comprehensive analysis of current enzymes with α-amylase activity (AAMY) belonging to family 13 of glycoside hydrolases (arrangements of 144 archaea, bacteria, and eukaryotes from different species of GH13; 87). Offers. This study aims to deepen our knowledge of the evolutionary molecular relationships between the sequences of the A and B domains, with a particular focus on the correlation between what is observed in structure and the evolution of proteins. A-domain …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 13–15 Read article
-
Kinetic Analysis of Structural Acrylic Curing by DSC: Polymerization and Phase Transition Optimization
Abstract: Differential Scanning Calorimetry (DSC) was used to analyse the thermal properties and curing behaviour of a structural acrylic adhesive at heating rates of 5, 10, and 15 °C/min. The study focused on the curing kinetics, glass transition temperature (Tg), specific rate (k), and activation energy (Ea) of the polymerization reaction. The material is tested according to ASTM 3418 standards. Results showed that increasing the heating rate shifted the endothermic curing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 726–733 Read article
-
A Comparative Machine Learning Framework for Early Prediction of Liver Cancer Using Clinical Attributes
Abstract: One of the main causes of cancer-related death globally is liver cancer, and improving patient outcomes depends heavily on early detection. However, low contrast, noise, organ similarity, and tumor shape and size variability make it difficult to accurately identify and segment liver tumors from medical imaging. Automated liver cancer diagnosis, segmentation, and prognosis have been greatly improved by recent developments in artificial intelligence (AI), especially deep learning. This work presents …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 39–47 Read article
-
Application of Machine Learning Techniques for Tongue Diagnosis in Ayurveda
Abstract: The analysis of tongue image is a very crucial approach in order to evaluate human health in Ayurveda medication. As a result of the modification in tongue color might counsel physical or mental disorders. Many tongue color quantification strategies for tongue diagnosis are published by many researchers in Chinese medication. However, reliable tongue color analysis algorithms are limited for Ayurveda medicine. The main objective of this paper is to apply …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 8–14 Read article
-
Extraction of Retinal Features in Fundus Images for Glaucoma Diagnosis
Abstract: Glaucoma is a major cause for blindness, identified early by the structural changes of optic nerve head in the retina. Retinal image analysis is emerging as an important screening tool for prior detection of eye diseases. Glaucoma is a chronic eye disease in which damage to the optic nerve leads to progressive, irreversible vision loss and it is considered as second leading cause for blindness worldwide. In this research work, …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 21–28 Read article
-
Texture Segmentation Using Multichannel Filtering And Kohonen’s Self Organizing Map
Abstract: The texture is very important cue in region based segmentation of images. Texture features play a very important role in computer vision and pattern recognition. Texture segmentation can be broken down into two areas, feature extraction and clustering. In this paper, we implement two stage of feature extraction technique using multichannel filter and Self Organizing Map (SOM). Firstly, we go through channel filters, also known as 2-D Gabor functions. The …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 3, Issue 3, 2012 · pp. 17–30 Read article
-
Data Stream Mining
Abstract: A data stream can be considered as an ordered sequence of data items, where the elements of the series continuously arrive as time progresses. Data stream mining is the procedure of extracting knowledge structures from such continuous, rapid data records. Mining data streams nurtures new problems for the data mining community regarding how to mine continuous high-speed data items that you can only have one look at. Due to this …
Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article
-
Segmentation Methods Applied on MR Medical Application
Abstract: AbstractImage segmentation techniques as applied in MRI of human brain are developing by leaps and bounds. The human brain is the most imaging design of the nature. Cancer and neurological problems are resolved using MR of the brain. The automatic diagnostic system starts with medical imaging, segmentation and analysis of the findings and then the final decisions which are further used to treat the patient. In the real world certain …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 30–38 Read article
-
Heuristic Based Transportation Routing and Sizing
Abstract: Employee transportation is one of the most concerned issues and a part of HR policy in today’s work culture. Optimization of these routes and analysis of scenario needs to be done to leverage cost benefits for the organizations of today. Traditional studies focus on goods delivery and pickup, but employees are a totally different entity, which change the type of problem to be solved. As the entity to be considered …
Published in Journal of Production Research & Management · Vol. 5, Issue 3, 2015 · pp. 20–27 Read article
-
An Outbreak of Massive Crisis of the Attack of Current Novel Coronavirus
Abstract: A cluster of cases of pneumonia of unknown cause was detected in Wuhan City, Hubei Province of China on 31 December 2019 was informed by WHO. Chinese authorities identified the causative virus of coronavirus disease (COVID-2019) on 7th January 2020. During the first 2 months of the current outbreak, COVID-19 an epidemic disease spread rapidly throughout China and caused varying degrees of illness. It was observed that 2019- nCoV is …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 10, Issue 2, 2020 · pp. 1–9 Read article
-
Improved Vision Based Algorithm for Deep Web Data Extraction
Abstract: Several systems and languages have been proposed for solving web-data management problems, but none of existing system addresses all the problems from a unified perspective. Most of the existing link analysis algorithms treat a web page as a single node in the web graph. However, in most cases, a web page contains multiple semantics and hence the web page might not be considered as the atomic node. New web content, …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 28–37 Read article
-
Enhanced RANO Protocol by Reduced Packet Loss in Wireless Sensor Networks
Abstract: In wireless sensor network (WSN) a lot of sensed data and routing information has to be sent which often have some time constraints so that the information can be utilized before any mishap occurs. The time synchronization makes accessible the avoidance to collision and better safety to the nodes. A variety of category criteria are formed to grant time synchronization—NTP incident, GPS symmetric analysis. The problems are lack of energy …
Published in Recent Trends in Sensor Research & Technology · Vol. 3, Issue 1, 2016 · pp. 1–9 Read article
-
Natural Bond Orbital, Bond Order and Frequency based Study of Hydrogen Bond Formation in Different Glycols-Water Complex
Abstract: Natural bond orbital (NBO) analysis, natural atomic orbital (NAO) analysis, Wiberg bond order, vibrational frequency, free energy and enthalpy changes for hydrogen bond formation in different polyethylene glycol + water complex and dipropylene glycol + water complex have been performed by Hatree Fock (HF) method, second order Møller–Plesset perturbation theory (MP2) and Density Functional Theory (DFT) using 6-31++G(d,p) basis set. In order to describe hydrogen bond interaction appropriately, B3LYP DFT-D, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 4, Issue 1, 2013 · pp. 1–20 Read article
-
Phenetic Analysis of Solanum melongena Accessions to Explore the Genetic Diversity by SDS-PAGE
Abstract: The present experimental work was conducted for the phenetic analysis among 40 accessions of Solanum melongena from different geographical areas of Pakistan. The interspecific variation was found among the accessions of S. melongena. The analysis of seed storage was done by SDS-PAGE to check their relationship. Electrophoretic data was documented by gel documentation system (Bio-Rad, USA), and analyzed by using quantity 1-D analysis software and dendogram constructed with 100% tolerance …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 2, Issue 2, 2012 · pp. 21–34 Read article
-
Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
-
Modulation of Receptor Proteins: A Recent Paradigm in Drug Discovery and Target
Abstract: The main aim in drug discovery is to design different ligands those work on specific drug targets. However, various effective drugs work through the modulation of many proteins than single target. Advancement in system biology are establishing a phenotypic strength and a network structure, which suggests that, the excellent selective compounds may be performed less than desired clinical efficacy in comparison to multi-target drugs. In this new appreciation of the …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article