Anuradha Thakare

Pimpri Chinchwad College Of Engineering | PCCOE · Department of Computer Engineering

Cancer is one of the highly concerning groups of diseases, with many people being diagnosed yearly. Early detection and prognosis of different types of cancer are critical areas of focus in cancer research. The analysis of genes is essential for early diagnosis, therapy, and recovery from the condition. Individualized medicinal medication therapy p...

A stroke is a medical condition in which a blood vessel in the brain bursts and causes brain damage. After realizing the wide-ranging effects a brain infarction can have on a community, significant efforts have been made to enhance stroke therapy and diagnosis. The medical practitioner can benefit from more precise diagnosis if the occurrence of st...

Epilepsy is a chronic seizure state of an individual. The group of brain cells reflects abnormal electrical activity. Electroencephalography (EEG) is a popular tool that monitors brain activities and diagnoses neurological disorders. The classification of seizure and non-seizure data is a challenging task when dealing with complex transformed featu...

A metaheuristic is a higher-level technique used in computer science and mathematical optimization that may offer a good sufficient solution to an optimization issue, particularly when there is incomplete or defective information. Meta-heuristics (MH) are self-organized, decentralized algorithms that are widely used in team intelligence application...

To consistently assess a patient’s internal and external wellness and diagnose chronic conditions like cancer, Alzheimer’s disease, and cardiovascular disease, wearable sensing devices are being used. Wearable technologies and networking websites have become incredibly common in the medical sector in recent times. The condition of a patient’s healt...

With the continuous development of social networks, Weibo has become an essential platform for people to share their opinions and feelings in daily life. Analysis of users’ emotional tendencies can be effectively applied to public opinion control, public opinion surveys, and product recommendations. However, the traditional deep learning algorithm...

At present, early lung cancer screening is mainly based on radiologists’ experience in diagnosing benign and malignant pulmonary nodules by lung CT images. On the other hand, intraoperative rapid freezing pathology needs to analyse the invasive adenocarcinoma nodules with the worst recovery in adenocarcinoma. Moreover, rapid freezing pathology has...

Breast cancer is the most common cancer in women, and the breast mass recognition model can effectively assist doctors in clinical diagnosis. However, the scarcity of medical image samples makes the recognition model prone to overfitting. A breast mass recognition model integrated with deep pathological information mining is proposed: constructing...

In researching social network data and depression, it is often necessary to manually label depressed and non-depressed users, which is time-consuming and labor-intensive. The aim of this study is that it explores the relationship between social network data and depression. It can also contribute to detecting and identifying depression. Through coll...

Patients suffering from severe depression may be precisely assessed using online EEG categorization and their progress tracked over time, minimizing the risk of danger and suicide. Online EEG categorization systems, on the other hand, suffer additional challenges in the absence of empirical oversight. A lack of effective decoupling between brain re...

Problem: A worldwide challenge is to provide medical resources required for COVID-19 detection. They must be effective tools for fast detection and diagnose of the virus using a large number of tests; besides, they should be low-cost developments. While a chest x-ray scan is a powerful candidate tool, if several tests are carried out, the images pr...

Content Based Image Retrieval is one of the most promising method for image retrieval where searching and retrieving images from large scale image database is a critical task. In Content Based Image Retrieval many visual feature like color, shape, and texture are extracted in order to match query image with stored database images. Matching the quer...

Cancer is one of the most commonly affected diseases in the progressing countries. Early diagnosis of cancer plays a significant role in curing cancer patients. In early stage cancer may be detected if related checkups are taken care as a part of routine checkups.

Clustering is an unsupervised technique, which partitions the entire input space into regions. These initial partitions have a great impact on the resulting clusters. In this paper, a new Multi Stage Genetic Clustering (MSGC) scheme for multiobjective optimization in data clustering is proposed, which can automatically partition the data into an ap...

Abstract Information and communication technology is the major tool to improve the quality of education. Indian Government invested huge amount for ICT to improve the education sector. Also, various ICT trainings are given to the school teachers through the government scheme. Though Pune is one of the top educational city, there is a lack of ICT to...

K-means clustering groups the similar information using distance function. Even though it is a good algorithm for grouping, it may affect the clustering performance in terms of cluster initialization. This directed to new research track on emerging better algorithms with good initial centroids. This paper gives a hybrid algorithm, called ACPSO algo...

Cluster analysis is an important step in data mining. For clustering, various multiobjective techniques are evolved, which can automatically partition the data into an appropriate no. of clusters. K-means is a well known data clustering algorithm and is proven to be better for many practical applications. The proposed work is based on achieving mul...

Clustering techniques are aimed to partition the entire input space into disconnected sets where the members of each set are highly connected. K-harmonic means (KHM) is a well-known data clustering technique, but it runs into local optima. A two stage genetic clustering method using KHM (TSGKHM) is proposed in this research, which can automatically...

This article presents a new Unification Matching Scheme (UMS) for information retrieval using the genetic algorithm. The selection of appropriate matching functions contributes to the performance of the information retrieval system. The proposed UMS executes the Unification function on three classical matching functions for different threshold valu...

This article presents a novel information retrieval algorithms using genetic algorithm to increase the performance of information retrieval system. The novel matching functions called Overall Matching Function (OMF) and Virtual Center based Matching Function (VCF) are proposed for improving the retrieval performance. Overall Matching Function gives...

Clustering is the process of organising data into meaningful groups, and these groups are called clusters. It is a way of grouping data samples together that is similar in some way, according to some criteria that you pick. Swarm intelligence (SI) is a collective behavior of social systems like insects such as ants (ant colony optimization, ACO), f...

In this paper, we propose a method of genetic algorithm (GA) for information retrieval (IR) based on Singular Value Decomposition and Principal Component Analysis. The main difficulty in GA based IR system is processing of high dimensional input strings, as affects the performance in terms of retrieval time. In proposed work, we tried to reduce the...

Clustering is unsupervised learning method to extract hidden patterns and disciplines. Swarm intelligence deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and self-organization. In this paper, we propose a new Swarm Intelligence based hybrid method for data clustering. The main diffi...

Swarm intelligence (SI) is widely used in many complex optimization problems. It is a collective behavior of social systems such as honey bees (bee algorithm, BA) and birds (particle swarm optimization, PSO). This paper presents a detailed overview of Particle Swarm Optimization (PSO), its variants and hybridization of PSO with Bee Algorithm (BA)....

Proceedings of the 3rd International Conference on Computer Technology and Development (ICCTD 2011) held in Chengdu, China during November 25–27, 2011. The aim objective of ICCTD 2011 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and de...