Ratnadeep R. Deshmukh

ICEEM Engineering College Dr. Babasaheb Ambedkar Marathwada University · Department of Computer Science & Engineering

Recently, personal health records (PHR) have been found to come into view as a patient- centric approach for exchanging health data. With the use of a PHR service, a physician may create, access and maintain all of their personal health information online in one convenient location. Additionally, it has greatly improved the efficient exchange, retr...

Jayakwadi dam built in 1976, is located in Jayakwadi village in Paithan taluka of Chhatrapati Smbhaji Nagar district in Maharashtra, India. Monitoring the surface water area of Jayakwadi Dam is important task because the main purpose of dam water is for drinking water as well as supply to industrial area for Chhatrapati Sambhaji Nagar city people a...

Jayakwadi dam built in 1976, is located in Jayakwadi village in Paithan taluka of Chhatrapati Smbhaji Nagar district in Maharashtra, India. Monitoring the water quality of Jayakwadi Dam is important task because the main purpose of dam water is for drinking water for Chhatrapati Sam haji Nagar city people. The water quality is easily estimated with...

Recently, honey has become a target of falsification using inexpensive artificial sugar syrup. Current methods for detecting honey adulteration are destructive, slow, and expensive. This paper aims to use hyperspectral imaging (HSI) coupled with Machine Learning (ML) techniques to predict and quantify honey adulteration. The honey adulteration pred...

A spontaneous mental state, emotion does not result from deliberate effort. There are many different kinds of emotions in a speech. Because it enhances interactions between people and technology, automatic emotion identification from human speech is becoming more common today. Several temporal and spectral features of human speech can be extracted....

The protection of Biometric systems against attacks is crucial as biometric devices proliferate in the field of personal authentication. The presentation assault is the most prevalent type of attack on biometric systems; it entails presenting a fake copy (artefact) of the true biometric to the sensor in order to gain unauthorised access. The vulner...

India is a large country with over a billion populations who speak numerous languages. 43% of Indians speak Devanagari Hindi script, followed by Bengali, Telugu, Marathi, and other languages. The widespread generation of content and accessibility would therefore greatly benefit from text-to-speech systems for such languages. In this research work w...

This book series will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The aim of the book is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge...

This book series will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The aim of the book is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge...

This book series will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The aim of the book is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge...

This book series will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The aim of the book is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge...

Presently, the brain tumor had risen up to large scale. Designing an automated process to recognize the tumor from MRI pictures is essential. MRI brain Image is the frame muscle that had been generated through gradual adding up of the irregular cells and it is essential to detect the brain tumor from the MRI for diagnosis. In addition, brain MRI tu...

The accurate detection of honey adulteration is paramount for maintaining the quality and authenticity of honey products. In this study, we introduce a novel feature selection method, termed Optimal Subspace Wavelength Reduction (OSWR), and integrate it with reflectance Visible-Near Infrared (Vis-NIR) spectroscopy to enhance the discrimination betw...

Soil plays an important role in producing healthy crops. The chemical analysis method for recognising the soil contents for good yield is time consuming and complex. An alternative method using VNIR spectral reflectance of soil can make the task easier. In the present study samples of soil were taken from the state of Maharashtra, India. The ASD fi...

Many times at different situations like meetings and phone calls, knowing the speaker's identity is useful. Speaker diarization, which segments and categorizes a voice signal to the speaker identification, can be used to do this task. The i-vectors are taken out of the speech segments and used to do speaker diarization. Using both supervised and un...

Speaker diarization is the process of determining “who spoke when?” in a piece of audio that has an ambiguous amount of speech from an ambiguous proportion of participants. At first, it was suggested as a study area for automatic speech recognition, where feature extraction and upstream processing step speaker diarization are both included. In addi...

It’s most crucial method of transferring data is interaction. Speech is the most common way of data exchange. According to with linguistic survey, there are 179 languages and 544 dialects spoken in India. Current India has 18 scheduled dialects and several unscheduled languages. The primary goal of this paper is to give a thorough comparative evalu...

For the original, mammogram is a one type of X-ray image which is used to create detailed image of breast. Nowadays, medical images are playing important role in diagnosis and plays important role in prognosis. Images captured by machines may not be directly diagnosed the problem or find out tumor, so it is very important to process image and analy...

This research seeks to construct a Machine Learning (ML)-based method for identifying adulterated honey utilizing honey mineral element profiles. The proposed system comprises two phases: preprocessing and classification. The preprocessing phase involves the treatment of missing-value attributes and normalization. In the classification phase, we us...

Brain tumors can be detected and diagnosed early, potentially saving many lives. The Magnetic Resonance Image (MRI) technique is extensively used, less invasive, considered as the best image scanning technique in medical imaging for diagnosing various diseases. However, filtering and denoising MR Images remain a challenge. There is no direction in...

Liver cancer is amongst the most cancer-related life threats worldwide. If not detected early, most liver diseases can lead to liver cancer. Early diagnosis of the disease depends on the physician's expertise; in some cases, it is difficult for even well-trained physicians to diagnose the condition by only visual inspection. With the help of automa...

Personal health records (PHR) are a new type of health information exchange that allows PHR possessor to share their personal health details with a wide range of people, inclusive of healthcare professionals, close relative and best friends. PHR details are typically externalization and kept in third-party cloud platforms, reducing PHR possessor of...

Remote Sensing is a prominent technology, applied at all fields of earth sci-ence. It is useful in the identification and mapping of minerals, vegetation, different materials and backgrounds by capturing the electromagnetic energy reflected from them. The analysis of remote places or structures is possible with the help of remote sensing with econo...

Abstract: The Internet of Things (IOT) is a comprehensive and sophisticated computer programme that may be used in the field of home automation to operate appliances like microwaves, fans, lighting, air conditioners, televisions, washing machines, refrigerators, computers, printers, etc. It has the ability to simulate real user conversations. A goo...

Отпечаток ладони является уникальным и очень полезным биометрическим при-знаком. За последние несколько десятилетий по этой теме было проведено достаточноисследований. Разработаны и успешно реализованы различные алгоритмы и системы.Так как данный метод не позволяет получить более расширенную информацию для рас-познавания личности, мультиспектральны...

Artificial intelligence and processing experts have been fascinated by the recognition of human speech for a long time. Speech is the most important and necessary form of human communication. Several studies on Marathi speech recognition and strategies are discussed. The current speech recognition system for Marathi was discussed in this paper. The...

The sharing of Personal Health Records (PHR) in the cloud is the most promising platform to exchange health-related information. However, personal medical and health information storage is outsourced to third parties, potentially exposing patients' privacy to unauthorized individuals or groups. This paper intends to propose a new SSPHR (Secure Shar...

The article reviews modern research in the field of medical imaging using artificial intelligence, in particular for the diagnosis of the cardiovascular system. The article notes the relevance of the research and examines research on existing methods of visualization of the cardiovascular system using artificial intelligence. The authors analyze th...

As the construction material of the building is different hence building detection is critical task from the HRI. The image qualities, resolution, weather type of image sensor are important factors to produce accuracy. Building detection in dense urban areas having problems due to factors like shape, size, color and texture, and image sensor. For t...

In this paper, we propose a system for detecting adulteration in coconut milk, utilizing infrared spectroscopy. The machine learning-based proposed system comprises three phases: preprocessing, feature extraction, and classification. The first phase involves removing irrelevant data from coconut milk spectral signals. In the second phase, we employ...

Honey botanical origin classification is essential to honey authentication and honey botanical origin mislabeling prevention. Recently, several researchers have used advanced analytical techniques for classifying honey floral sources. These methods have incorporated different acquisition technologies and machine learning (ML) models. In this paper,...

Honey has been a target for adulteration with various inexpensive industrial sugars. Discriminating between authentic and adulterated honey is a challenging problem for consumers. Several studies have proposed different methods for detecting adulterated honey. Traditional methods, such as stable carbon isotope ratio analysis, chromatography, and ph...

In this paper, we propose a machine learning-based method for automatically classifying honey botanical origins. Dataset preparation, feature extraction, and classification are the three main steps of the proposed method. We use a class transformation method in the dataset preparation phase to maximize the separability across classes. The feature e...

Crop type discrimination is still very challenging task for researchers using non-imaging hyperspectral data. It is because of spectral reflectance similarity between crops. In this research work we have discriminated between four crops wheat, jowar, bajara and maize. We have tried to overcome the problems which have been faced my researchers. Init...

Adulteration in pharmaceutical products is common all over the world particularly in pharmaceutical oraldosage forms like tablets, gelatin capsules. According to previous studies there were many techniquesare available to recognize counterfeit medicines. Near Infrared Spectroscopic techniques is widely usedin this area due to its numerous advantage...

Being the largest vegetarian population across the globe, vegetables are an integral part of Indian meals. The proposed research finds significant wavelengths to discriminate healthy and unhealthy vegetable plants. Spectral-reflectance (SR) and first-derivative (FD) in the visible, red edge and near infrared region (350-1000 nm) of three vegetables...

Being the largest vegetarian population across the globe, vegetables are an integral part of Indian meals. The proposed research finds significant wavelengths to discriminate healthy and unhealthy vegetable plants. Spectral-reflectance (SR) and first-derivative (FD) in the visible, red edge and near infrared region (350–1000 nm) of three vegetables...

The impacts of invasive plant species on the environment and economy make effectively detecting and mapping them crucial. Using leaf spectral reflectance and the advantages of continuous wavelet analysis (CWA), we aimed to utilize the CWA and features reduction techniques (principal component analysis (PCA), regularized random forest (RRF), and gui...

The earth crust is made up of variety of minerals. These minerals are having very significant applications in our day today life. The various studies, characterizing physical, chemical, electrical, structural properties, have been carried out on the Lonar crater for studying mineralogy, surface morphology and geology but has not been done by remote...

Rainfall is the primary key driver of an ecosystem, and it is responsible for sustaining life on the planet. Conversely, the rainfall deficiency creates a severe problem in the region, like water shortage for domestic, industrial and agricultural sectors. Furthermore, the region's land cover severely affects the barren land increment and decrement...

The main focus of the presented work was to better predict the surface mineralogy from the Chandrayaan-1 hyperspectral data set covering the area from South Pole region. To address the space weathering effect and to quantify mineralogy the Bi-directional reflectance function have been implemented. The implemented model was tested against two standa...

The objective of current work is nondestructive measurement of surface area of regular or irregular shape just from image. Surface area calculation is mathematical part which needs to remember number of formulas and all for regular shape. It becomes more tedious if the shape whose area is to be calculated is irregular. In some cases such as mountai...

The paper provides an overview of some studies on the recognition of images of crops, plants and forests. These image recognition systems use various methods of pre-processing, computer vision, and deep learning. Recently recognition systems based on mobile devices are increasing, which increases their availability and wide distribution. The articl...

Land-use and vegetation cover are the natural state of the earth's surface. Remote sensing is a very important land use study (LULC) method. Various classification methods are used to analyze land cover in remote sensing. These methods do not require prior information on land cover or land use types. Two classification methods are most commonly use...

Amid late years, the field of emotion classification of Speech signals has been picking up a huge consideration and a few systems have been built by various scientists for acknowledgment of human feelings in talked articulations with their local voice correspondence. This paper depicts a test which exhibits the acknowledgment of simulated human emo...

The world has entered the time of globalization causing an opposition to ace, to make and actualize new innovation. One of the best ways is to present innovation in the realm of instruction. Defeating the snags to the use of separation training in Yemen is to utilize instruction based applications, to be specific Google classroom. The same number o...

Land-use and vegetation cover are the natural state of the earth's surface. Remote sensing is a very important land use study (LULC) method. Various classification methods are used to analyze land cover in remote sensing. These methods do not require prior information on land cover or land use types. Two classification methods are most commonly use...

Hyperspectral remote sensing has been widely used in many agricultural applications such as crop species discrimination, crop monitoring, crop stress detection and disease analysis. This experimentation was carried out to explore the feasibility of use of non imaging hyperspectral data for spectral discrimination between healthy and diseased vegeta...

This paper studies three feature extraction methods, Mel-Frequency Cepstral Coefficients (MFCC), Power-Normalized Cepstral Coefficients (PNCC), and Modified Group Delay Function (ModGDF) for the development of an Automated Speech Recognition System (ASR) in Arabic. The Support Vector Machine (SVM) algorithm processed the obtained features. These fe...

Red edge position is observed between 680 and 780 nm of spectral reflectance of green vegetation. REP has a strong correlated with foliar chlorophyll content, and this is one of the key indicators of plant health. In this paper, improved linear extrapolation technique is proposed, which generalizes the processes of finding four points used for dete...

A novel method is presented in this paper for finding brain tumor and classifying it using the back-propagation neural network is proposed. Spatial Fuzzy C-Means clustering is utilized for the segmentation of image to identify the influenced area of brain MRI picture. Automated detection of tumors in brain MR images is urgent in many diagnosis proc...

Next-generation computing paradigms are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. The self-organized, decentralized and infrastructure-less features of mobile ad hoc networks (MANETs) established their importance for communication in indoor and outdoor environments. In MANET,...

This research study performed on visible images, thermal images and fused images for facial expression recognition. Linear Discriminant Analysis has implemented for feature extraction technique and support vector machine to calculate the result. This work is implemented on a newly designed database of 20 peoples’ facial expression which includes vi...

In recent years, mobile ad-hoc networks have rooted their pillars for emergency communication owing to reasonable cost, diversity, and easiness of mobile devices. The mobile ad-hoc networks is a self-coordinated, distributed and infrastructure-less network of mobiles nodes. These characteristics of MANET enhanced the applicability of MANET in the f...

Remote is the advanced technology used for various applications in mineral mapping, mineral identification, lithological discrimination and structural mapping etc. Lonar crater is a wellknown impact crater in basaltic crust of rocks. With Hyperion satellite imagery, it is possible to analyze the Lonar crater remotely and comment on the mineralogy a...

In this paper, we seek to present or explain how an application that helps in the process of diagnosing the Corona virus (COVID-19) was designed through the use of X-rays of the respiratory system of the person to be examined where this application was built based on artificial intelligence techniques that are represented in the algorithms of learn...

In today's digital world of information overload, the recommendation system plays an important role in the decision making of an individual as well as the collective societal level at large scale. The recommendation system is useful for leveraging the power of available data to create a better user experience and incremental revenue for the E-comme...

Field of IT is rapidly growing today, the need for computing and performing operations through the network is also continuously increasing. Advanced technologies in cloud computing are becoming more popular by providing different services beneficially. Load increases on servers due to more use of the internet. To overcome this issue, load balancer...

In today’s world the data used by various institutions and organizations is increasing and process petabytes of data per hour. Hence big data storage platform called Apache Hadoop is designed to process large amount of data, but it does not guarantee the security of user stored files in Hadoop. In this paper, a secure HDFS is designed for an effici...

Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition. Atypical communication mostly occurs in tandem with ASD. We compared voice pitch of 16 Marathi children and adolescents with ASD of age of 7 to 18 with 27 Typically Developing (TD). Speech samples have been recorded and stored in .wav format with sampling frequency of 48...

Biometrics is the method for body calculations and measurement, biometrics used in computer science to identify the identity of persons in group .In biometrics there are number of methods and techniques are available for automatic person’s verification and identification. The authentication tool involves verification of what individuals knows passw...

Many of the few biometric measures built up, the finger knuckle surface is turning into a famous selection of specialists because of its normal simplicity of reproducibility and confirmation. For any reason for individual distinguishing proof or wrong doing examination, finger knuckles surface shouldn't be an intentionally displayed, they get uncov...

Automatic Physiognomy recognition systems are now popularly used in various applications ranging from mobile payment verification to inbuild security access. The use of Physiognomy recognition has increased awareness about facial simulation attacks viz is also called as a biometric sensor presentation attack) that can use a picture or motion file o...

The texture of soil i.e. Sand, Silt and Clay are the most important physical properties of soil for agricultural management. In the agricultural practices to increase the productivity of soil, moisture-holding capacity, aeration and to support the agronomic decisions the knowledge of soil texture is an essential task. For this purpose, the present...