Vinod Kadam

Vinod Kadam
Dr. Babasaheb Ambedkar Technological University | Dr. Batu · Department of Information Technology

BE (IT) MTech (CE) PhD

About

27
Publications
35,349
Reads
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198
Citations
Introduction
Vinod Kadam currently works at the Department of Information Technology, Dr. Babasaheb Ambedkar Technological University. Vinod does research in Neural Network.

Publications

Publications (27)
Article
Deep Neural Network (DNN) stands for multilayered Neural Network (NN) that is capable of progressively learn the more abstract and composite representations of the raw features of the input data received, with no need for any feature engineering. They are advanced NNs having repetitious hidden layers between the initial input and the final layer. T...
Article
Full-text available
To look for early breast cancer signs and indications, mammography screening is one of the best approaches available. Screening mammograms are the most commonly recognized procedure and remain the gold standard for early breast cancer screening. But many times, a relatively low positive predictive rate of breast biopsy demonstrated by this diagnost...
Conference Paper
Full-text available
Even today, Malaria is the most deadly disease in Asia and sub-Saharan Africa and particularly in Senegal. This is mainly due to inadequate medical care support with frequent late and error-diagnoses by medical professionals. Besides, mostly used diagnostic standards such as the rapid diagnostic test is not fully reliable. With the development and...
Chapter
Full-text available
Cardiac arrhythmia is very harmful heart disease which can cause severe and even potentially deadly symptoms. Early diagnosis of an arrhythmia can save lives. In the modern health care environment, AQ1 the use of Internet of Things (IoT) technologies brings the suitability for medical professionals and patients, because they are useful in vari- ous...
Chapter
The principal objective of this study was to develop a computer-aided Parkinson’s disease (also called PD) diagnosis system based upon vocal representations. Our two-phase approach uses minimum redundancy maximum relevance (mRMR) algorithm for feature selection and a novel ensemble classifier of fuzzy kNN, weighted kNN, and three different kNNs wit...
Chapter
The speedy development of the amount of medical health information available to the healthcare industry is driving demand for more accurate, precise, and reliable tools for exploiting these data. Real-world experience suggests that combining the predictions of individual machine learning classifiers may allow us to meet all three criteria at a low...
Conference Paper
Full-text available
—Arrhythmia is typically detected with ECG tests. One of the main tasks for machine learning is evaluating and classifying proper arrhythmia from complicated ECG dataset. The strategy proposed in this paper involves the following phases (stages): (1) Selection of features (Genetic AlgorithmSVM approach) and (2) classification of the decreased (redu...
Article
Full-text available
The accuracy of the various classifiers depends mainly on good hyper-parameter and consequently on the scheme (hyper-parameter tuning algorithm) adopted to estimate these values. Currently, the hyper-parameter tuning for Ensemble classifiers (which involves a number of hyper-parameters) is receiving a lot of attention. This paper aims to analyze th...
Chapter
Cardiac arrhythmia is one of the serious heart disorders. In many cases; it may lead to stroke and heart failure. Therefore timely and accurate diagnosis is very necessary. In this paper, we proposed a novel ECG Arrhythmia classification approach which includes an Elitist-population based Genetic Algorithm to optimally select the important features...
Article
Medical data classification is the process of transforming descriptions of medical diagnoses and procedures into universal medical code numbers. The diagnoses and procedures are usually taken from a variety of sources within the healthcare record, such as the transcription of the physician’s notes, laboratory results, radiologic results and other s...
Article
Full-text available
Nowadays, the most frequent cancer in women is breast cancer (malignant tumor). If breast cancer is detected at the beginning stage, it can often be cured. Many researchers proposed numerous methods for early prediction of this Cancer. In this paper, we proposed feature ensemble learning based on Sparse Autoencoders and Softmax Regression for class...
Chapter
Full-text available
Parkinson’s disease detection through proper representation of the vocal and speech datasets remains an important classification problem. For this problem, we proposed a feature ensemble learning method based on sparse autoencoders. The dataset for this purpose was obtained from UCI, an online repository of comprehensive datasets. Some simulations...
Article
Full-text available
The two words 'scheduling' and 'planning' are often used interchangeably, but they signify different things. Planning gives 'a plan' and scheduling gives 'a schedule'. A plan deals with 'what to do?' and a schedule deals with 'When to do those?'. Academic Timetabling is the procedure of assigning classes to time-slots and classrooms, subjected to v...
Article
Full-text available
Genetic algorithm is evolved from the evolutionary algorithms, which are based on Neo-Darwinian concept. University Sports timetable Scheduling is a NP-hard problem which is very difficult to solve by conventional methods. A highly constrained combinatorial problem, like the sports timetable, can be solved by evolutionary methods. In this paper, a...
Conference Paper
Genetic algorithm is evolved from the evolutionary algorithms, which are based on Neo-Darwinian concept. University Sports timetable Scheduling is a NP-hard problem which is very difficult to solve by conventional methods. A highly constrained combinatorial problem, like the sports timetable, can be solved by evolutionary methods. In this paper, a...
Article
Full-text available
Today’s world is the digital world and most of the data are stored in digital format. Therefore, it is necessary to optimize these data and preserve them in an eco-friendly manner. This paper presents a innovative method to digitize the academic transcript i.e. mark-sheets, and embed the digital format in the mark-sheet itself in the form of encryp...
Conference Paper
Full-text available
the journal impact factor was devised by Eugene Garfield as a way to count the impact of scientific and research journals. The SCI Journal Citation Report gives annual Journal impact factors .This ISI® Journal Citation Reports (JCR®) Impact factor is used worldwide as a method to measure the quality of research work done by researchers (who wrote t...
Article
Full-text available
The journal impact factor was devised by Eugene Garfield as a way to count the impact of scientific and research journals. The journal impact factors are computed yearly for all journals that are indexed in Thomson Reuters Journal Citation Reports. This journal impact factor concept is purely research area dependant .People usually disregards this...
Article
Full-text available
An entitled project is going to work on Android devices which is a graphical pattern lock with text support. In this project we are making the more secured touch Screen lock for android based systems by means of which user will get the facility to protect their password pattern guess by other people if the people monitoring while user unlocking the...
Conference Paper
An entitled project is going to work on Android devices which is a graphical pattern lock with text support. In this project we are making the more secured touch Screen lock for android based systems by means of which user will get the facility to protect their password pattern guess by other people if the people monitoring while user unlocking the...
Conference Paper
Full-text available
A content management system (CMS) is a computer program that allows publishing, editing and modifying content as well as maintenance from a central interface. Such systems of content management provide procedures to manage workflow in a collaborative environment. A web Content Management System (CMS) is a Web application that uses a database (usual...
Article
Full-text available
Clustering is a unsupervised learning technique. This paper presents a clustering based technique that may be applied to Image compression. The proposed technique clusters all the pixels into predetermined number of groups and produces a representative color for each group. Finally for each pixel only clusters number is stored during compression. T...
Article
Full-text available
Electrocardiogram (ECG) is considered to be the backbone of cardiology. In this we have explored a suitable way of designing an ECG machine using 8-bit microcontroller and certain discrete components. Proposed system consists of AD624 as instrumentation amplifier to amplify the bio potential received from body using electrodes. This signal is then...

Questions

Questions (3)
Question
Which best optimization tool directly available in Matlab?
Question
What is the best Hyperparameter tuning algorithm for small medical datasets?
Question
Genetic algorithm vs ant colony vs bee algo or any hybrid algo.

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Projects

Project (1)
Project
Use of Multi-objective Tabu search to solve university course timetabling problem.