Dipti Durgesh Patil

Dipti Durgesh Patil
Cummins College of Engineering for Women · Information Technology

PhD in Computer Engineering

About

77
Publications
30,215
Reads
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300
Citations
Introduction
Currently developing algorithms for Autonomous Space Landing Missions using AI techniques. Also working on the projects for developing healthcare systems like Artificial Olfaction System, Telerobotic Surgery, Non Invasive techniques for disease detection.
Additional affiliations
December 2014 - present
Cummins College of Engineering for Women
Position
  • Professor (Associate)
December 2014 - present
Cummins College of Engineering for Women
Position
  • Professor (Associate)
January 2011 - April 2014
Sant Gadge Baba Amravati University
Position
  • Student
Description
  • PhD Student
Education
January 2011 - April 2014
Sant Gadge Baba Amravati University
Field of study
  • Data Mining

Publications

Publications (77)
Chapter
Although telemedicine is still practiced today, high-speed connections and improved organizational capability have enabled remote operation of medical equipment, known as telerobotic surgery. The technologies have a number of benefits, including enhanced performance and the ability to reach complex operations to geographically isolated places where...
Article
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Machine-to-Machine (M2M) communication refers to applications that run on intelligent devices or machines. It allows smart devices to communicate directly with each other with little or no human intervention.In a telerobotic system, medical devices interact with each other and exchange information automatically to provide visual assistance to physi...
Article
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The capacity of machine objects to communicate autonomously is seen as the future of the Internet of Things (IoT), but machine-to-machine communication (M2M) is also gaining traction. In everyday life, security, transportation, industry, and healthcare all employ this paradigm. Smart devices have the ability to detect, handle, store, and analyze da...
Article
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The breath analysis technique is one of the oldest investigation strategies for disease diagnosis and human health monitoring. This strategy explores volatile organic compound (VOCs) present in human exhaled breath (EB) and their organic connection with the biomarkers that helps to determine the particular disease. This examination strategy utilize...
Research
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Vision-based navigation, hazard detection, and avoidance are vital technologies for a safe landing on planetary surfaces. Conventional approaches dealing with the said problem require that the digital terrain maps are generated from the high-resolution images of the Moon's surface. From these images, the digital elevation map (DEM) of each geograph...
Conference Paper
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Financial technology and dynamic learning are two of the most disruptive approaches of the century that have each shown massive potential value. Efforts are being made in order to make the best use of a combination of both of these styles in order to make great leaps in progress. This paper covers one of these combinative techniques invaluable to a...
Research
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Automatic speech recognition is an option in contrast to composing on cell phones. Recently, it is usual and increasingly popular trend in communication. Classifier is used to classify the fragmented phonemes or words after the fragmentation of the speech signal. Several techniques are used for the classification of phoneme or word such as Neural N...
Article
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The worldwide population of visually impaired is 2.2 billion. The visually impaired person has to face many challenges while performing their everyday activities. In this paper, the proposed system mainly focused on providing in-house object detection. The various household objects like TV, Chair, Remote, and Bottle are used as objects for object d...
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In smart cities, the Internet of Things(IoT) is a key aspect providing seamless and unique access to public resources, with the aim of achieving better utilization and optimization of power, water and transportation facilities. Today urban India is faced with a water crisis, about 80% of sewage enters lakes, rivers and groundwater untreated, due to...
Article
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— Digital representation of odor has a basic principal of chemosensory organism of sensory molecules. A body organism responds to external odor environments. A body of animal/human perceives the odor in the form of molecule structure. But the questions still arises how that odor molecule is presented in the digital format. Also how it act a specifi...
Article
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Machine-to-machine (M2M) communication devices communicate and exchange information with each other in an independent manner to perform necessary tasks. The machine communicates with another machine over a wireless network. Wireless communication opens up the environment to huge vulnerabilities, making it very easy for hackers to gain access to sen...
Article
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Hard time constraints in space missions bring in the problem of fast video processing for numerous autonomous tasks. Video processing involves the separation of distinct image frames, fetching image descriptors, applying different machine learning algorithms for object detection, obstacle avoidance, and many more tasks involved in the automatic man...
Chapter
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The wireless sensor networks optimization is the main approach for reducing energy consumption and for prolonging the network lifetime, by using the machine learning algorithms. The optimization of WSN achieves the clustering of nodes, the data aggregation of nodes, and reducing energy consumption. In this paper, more than 100 nodes are used to opt...
Patent
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Designed a process for Mobile real time smart healthcare system
Article
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In today’s communication era, we are speedily moving from various generations of mobile communication technologies to Next Generation mobile communication. Moving from 3G, 4G and 5G, one to the next generation, it includes in-built improvements in various characteristics. The world is collecting traditional information this is huge and providing th...
Article
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Technology has been growing at a fast pace since the last three decades and blockchain, artificial intelligence and the internet of things (IOT) are a result of this. Apart from making significant contributions individually, the amalgam of these technologies has led to a variety of high-level applications in several domains. Blockchain, AI, and IOT...
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This paper presents detailed study and performance evaluation of phonetic system by comparing it with various classification techniques of automatic speech recognition such as Neural Network, Hidden Markov Model, Support Vector Machine and Gaussian Mixture Model. In the phonetic system, recognized speech is processed by using language processing i....
Research
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: Now-a-days many applications dealing with visual content need to access underlying details in the image or video of interest. For instance, detailing is required to take life critical decisions for further action plans by a doctor. Clarity and structural information are some of the aspects of detailing. It can be achieved by cost effective softwa...
Article
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Research aimed towards sentiment analysis has gained popularity with the increase in computational power and rise of Big Data, but a negligible part of it covers music based User Mood Recognition (UMR); most methods stem from social media analytics and Natural Language Processing. This paper elucidates the significance of UMR using audio analysis a...
Article
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In the healthcare domain, various techniques available for early disease diagnosis. Nail image analysis is one of the techniques for early stage disease diagnosis. Human fingernail image analysis is procedure consists of image capturing, pre-processing of image, image segmentation, segmentation of image, feature extraction. This paper presents revi...
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Natural scene images are captured at a larger distances to include details in scenery. It is much difficult to identify categories because of uncertain shapes & forms present inside these images. Such ambiguous form of nature, which lacks sharp boundaries, makes discrimination among the classes a complex task. This paper attempts to measure this am...
Article
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The Internet of Things is a rapidly growing concept in recent years. Safety and security have traditionally been distinct problems in engineering and computer science. With a massive amount of devices connected to the Internet and huge data associated in it, there is major concern of security of services. Many traditional security solutions includi...
Article
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The most widely correspondence modes for individuals is speech. People use speech as another mode to convey information without lifting a finger with the help of speech recognition applications. This paper presents a study about execution of speech recognition debilitates inside considering resounding and even low levels of including clamor. Speech...
Article
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Speech recognition or speech to text conversion has rapidly gained a lot of interest by large organizations in order to ease the process of human to machine communication. Optimization of the speech recognition process is of utmost importance, due to the fact that real-time users want to perform actions based on the input speech given by them, and...
Article
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In recent year's improvement in innovation includes new limits for verifying data that will incite essential changes in eLearning. The user can see e-learning material subject to the reference given to them and select the best approach to see the resources. This proposed system addresses retrieval, reuse, revise and retain phases of CBR. For buildi...
Article
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In recent years e-learning is an asynchronous or synchronous accomplishment. It has a global reach, can be accessed by people around the worlds. For learning mobile devices, computers can be used such online courses literally in the hands of the world who need them, at any time. Online Learning results in cost reduction of organization which replac...
Article
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Object detection and tracking is an important and challenging task required in many computer vision applications and is an active research area in computer vision. Object detection involves locating the object in a frame of a video and tracking involves locating the moving object over a period of time. The task of moving object detection and tracki...
Conference Paper
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Over the years speech recognition has taken the market. The speech input can be used in varying domains such as automatic reader and for inputting data to the system. Speech recognition can minimize the use of text and other types of input, at the same time minimizing the calculation needed for the process. A decade back speech recognition was diff...
Conference Paper
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There is a long list of words that describe depression; sadness, unhappiness, sorrow, dejection, low spirit, despondency, woe, gloom, pessimism, desolation, despair, hopelessness, moodiness, and a host of others. This study throws light upon the contribution EEG signal for depression analysis. In this paper, classification of depressed patients fro...
Article
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This paper introduces a comprehensive review of a Growing Hierarchical Self-Organizing Map (GHSOM) reported in the specified writing. Investigating gene expression data is a very difficult problem due to the large amount of genes inspected. Computational methods have proved reliable to make sense of large amounts of data like the data obtained from...
Conference Paper
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Depression is one of the most common mental health disorders with strong adverse effects on personal and social functioning which can hamper the lives of individuals. The absence of any objective diagnostic aid for depression leads to a range of biases in the diagnosis and ongoing monitoring. This study throws light upon the contribution of gesture...
Article
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This paper presents a comprehensive review of a multi-objective particle swarm optimization (MOPSO) reported in the specialized literature. The success of the Particle Swarm Optimization (PSO) algorithm as a single-objective optimizer has motivated researchers to extend the use of bio-inspired technique to other areas. One of them is multi-objectiv...
Article
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The ECG signal is popularly used for diagnosis of various cardiovascular diseases. In recent times, the ECG signal is also being used for biometric security systems. As the ECG signals contain private health information, along with personal identification data, it needs to be secured before transmission through various public networks to avoid the...
Article
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Recent data mining techniques are modeled to handle stream data by applying online and incremental approach where concept changes in dataset are learned efficiently. Streaming random forests algorithm is an extension of Breiman's random forests algorithm which handles online and incremental stream data. Streaming random forests adapts ensemble fram...
Article
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Clinical depression has become a major factor causing suicides and is associated with high mortality rates making it the leading causes of death worldwide. Thus, early detection of depression is of primary importance as there has been a dramatic increase in the depressive symptoms and disorders in recent years. From a psychological point of view, o...
Article
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Cloud computing is a network-based environment that focuses on sharing computations or resources. Cloud computing is new computing model which is based on grid computing distributed computing, parallel comput- ing, virtualization technology, utility computing and other computer technologies. In cloud computing data is stored remotely from the custo...
Conference Paper
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Depression is a most common severe mental disturbance health disorder causing high societal costs. In clinical practice rating for depression depends almost on self questionnaires and clinical patient history report opinion. In recent years, the awareness has generated for automatic detection of depression from the speech signal. Some queries are r...
Article
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ECG is a bio-medical signal which records the electrical activity of the heart versus time. They are important for diagnostic and research purposes of the human heart. In this paper we discuss a method of feature extraction which is an inevitable step in most approaches in diagnosing abnormalities in the heart. A web application is developed which...
Article
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Recent advances in computer hardware and signal processing have made possible the use of EEG signals or " brain waves " for communication between humans and computers. Hence there is need to know about EEG signal. Electroencephalogram (EEG) is the recording of the electrical activity of the brain. The EEG signal is a representative signal containin...
Article
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Mood disorders strikes millions each year, often with debilitating consequences. This psychological disorder is so common that it is sometimes referred to as the "common cold" of mental health, with nearly 10% of the population suffering from a depressive disorder at any given time. A major mood disorder significantly affects a person's family and...
Article
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Most existing data mining classifiers cannot detect and classify the evolving class instances in real-time data stream mining problems. Unless and until the classification models are trained with the labeled instances of the evolving classes, classifiers are unable to discover new classes in real time. Different from data in traditional static data...
Article
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Most existing data mining classifiers cannot detect and classify the evolving class instances in real-time data stream mining problems. Unless and until the classification models are trained with the labeled instances of the evolving classes, classifiers are unable to discover new classes in real time. Different from data in traditional static data...
Article
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A flexible framework that performs real-time analysis of physiological data to monitor people's health conditions is discussed in this paper. Patients suspected of suffering sleep apnea and hypopnea syndrome (SAHS) have to undergo sleep studies such as expensive polysomnography to be diagnosed. Healthcare professionals are constantly looking for wa...
Article
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In today's world, healthcare is the most important factor affecting human life. Due to heavy work load it is not possible for personal healthcare. The proposed system acts as a preventive measure for determining whether a person is fit or unfit based on person's historical and real time data by applying clustering algorithms like K-means and D-stre...
Article
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Changes in the normal rhythm of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart sustained over long periods of time. The ability to automatically identify arrhythmias from ECG recordings is important for clinical diagnosis and treatment. This paper discusses about ho...
Article
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Since the population is growing, the need for high quality and efficient healthcare, both at home and in hospital, is becoming more important. This paper presents the innovative wireless sensor network based Mobile Real-time Health care Monitoring (WMRHM) framework which has the capacity of giving health predictions online based on continuously mon...
Conference Paper
Full-text available
Developments in sensors, miniaturization of low-power microelectronics, and wireless networks are becoming a significant opportunity for improving the quality of health care services. Since the population is growing, the need for high quality and efficient healthcare, both at home and in hospital, is becoming more important. This paper presents the...
Article
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ECG is a very important tool for cardiac health status measurement and detection of various diseases at their early stage. Thus, it will be helpful in providing such analysis on the move using a mobile device. The basic aim for such implementation would be an accurate, efficient yet light-weighted algorithm that is simple to implement on mobile. Wi...
Article
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In the field of data mining, clustering of educational data has not given much of the importance. Considering the growth of educational field as a business, clustering of educational data must be focused as it can give effective results as in the case of mining enrolled students on the basis of education they undertake. A new algorithm is proposed...
Article
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Continuous monitoring of physiological signals has the potential to greatly improve the quality life of patients with chronic disease. Patient data monitoring is a key issue for health and disease management. The use of wireless sensors within a body area network (BAN) makes this task flawless and easy. Different vital signals like ECG, blood press...
Article
Full-text available
Developments in sensors, miniaturization of low-power microelectronics, and wireless networks are becoming a significant opportunity for improving the quality of health care services. Vital signals like ECG, EEG, SpO2, BP etc. can be monitor through wireless sensor networks and analyzed with the help of data mining techniques. These real-time signa...
Article
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Sensors is a device, such as a photoelectric cell, that receives and responds to a signal or stimulus. A device, usually electronic, which detects a variable quantity and measures and converts the measurement into a signal to be recorded else where.There are a wide range of sensors for acquiring signals from the human body in noninvasive ways. Some...
Article
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Imperative programming languages (such as Java) are the most widespread programming languages recently. Besides being quite easy to get familiar with them, they are also perfectly suitable for business software development. Although the productivity of imperative languages is much acclaimed, some problems are much easier to solve in a logical langu...
Article
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In this paper, we propose a multi-agent based mobile health monitoring system which is the combination of a wireless medical sensor module with data mining techniques. Mobile Health Care is the application of mobile computing technologies for improving communication among patients, physicians, and other health care workers. Here we separate Associa...
Article
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A new algorithm is proposed and implemented by us, it uses a divisive approach to cluster high-dimensional categorical data. Algorithm is parameter-free, fully-automatic and is based on a two-phase iterative procedure. Assignments of Clusters are given in the first phase, and a new cluster is added to the partition by identifying and splitting a lo...
Article
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Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each class that can be used to classify subsequent records. A number of popular classifiers construct decision trees to generate class models. These classifiers first build a de...
Article
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Analysis of Web logs is one of the important challenges to provide Web intelligent services. Association rule mining algorithms are used widely to track users' web behaviour. Due to large amount of data many times the rules formed by these algorithms are very long and redundant. Recently Constraint-based mining approaches have received attenti...