Vishwanath Mahalle | Sant Gadge Baba ,Amravati , University (original) (raw)

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Papers by Vishwanath Mahalle

Research paper thumbnail of Knowledge Representation in Artificial Intelligence - A Practical Approach

BENTHAM SCIENCE PUBLISHERS eBooks, May 8, 2024

Research paper thumbnail of Transfer Learning by Fine-Tuning Pre-trained Convolutional Neural Network Architectures for Image Recognition

Research paper thumbnail of Enhancing Efficiency in Content-based Image Retrieval System Using Pre-trained Convolutional Neural Network Models

BENTHAM SCIENCE PUBLISHERS eBooks, May 8, 2024

Research paper thumbnail of Data Privacy Preserving using Perturbation Technique

Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 2017

Data Mining mainly consist of the discovery of structures, associations and the events in the dat... more Data Mining mainly consist of the discovery of structures, associations and the events in the data. In order to analyze the data related to sector like healthcare, privacy of data is to be maintained. In order to maintain the privacy of data, a perturbation technique is applied on original dataset and a new dataset is formed which is different from original dataset. Data mining can be performed on this perturbed dataset for various surveys and analysis. In this paper, perturbation technique algorithm is explained step by step in order to preserve the privacy of data.

Research paper thumbnail of A powerful method for interactive content-based image retrieval by variable compressed convolutional info neural networks

Research paper thumbnail of Drowsiness Detection System Using Deep Learning Methods

International Journal of Advanced Research in Science, Communication and Technology

Drowsiness and driver fatigue cause a great percentage of road accidents. The number of deaths an... more Drowsiness and driver fatigue cause a great percentage of road accidents. The number of deaths and fatalities injuries due to sleeplessness is increasing every year globally. The drowsy state, caused due to no breaks during a long-distance journey can be detected with an attention assist system, a method that can warn inactiveness and warn the driver about the current state of fatigue by detecting eyes as the region of interest. Our system will locate, track and analyze the driver’s eyes and create an alert for the navigation system. The monitoring system is a real-time system that will use machine learning and computer vision to detect driver fatigue and distraction and efficiently avoid and reduce road-accidents caused. The model is able to predict the drowsiness of driver. It is able to analyze whether the eyes are open or closed and face not detected and displayed the intended output with 99.8% accuracy.

Research paper thumbnail of vSLAM using Deep Learning for Semantic Mapping

International Journal of Advanced Research in Science, Communication and Technology

As the domains of deep learning and computer vision are developing, we are trying to find new app... more As the domains of deep learning and computer vision are developing, we are trying to find new applications as well as utilization in old problems. In this paper we are trying to apply deep learning methods to augment the traditional robotics problem of Simultaneous Localization and Mapping (SLAM). Most traditional SLAM methods build metric maps only, but we are trying to build a semantic map which identifies individual objects in the map meaningfully. We are using basic RGB-D SLAM to start with for the localization part, along with a deep learning-based module for the object detection and recognition. These together provide a semantic map for the environment. For better computational performance and efficiency, we are using OctoMap for the map data structure. To be qualified, our approach has to yield good results in localization, mapping as well as in object detection.

Research paper thumbnail of An overview of secure friend matching in mobile social networks

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015

Mobile users constitute one of the biggest areas of growth in the online market, so it is no surp... more Mobile users constitute one of the biggest areas of growth in the online market, so it is no surprise that mobile social networks have begun becoming more and more popular. Mobile social networks have also become quite as sophisticated as non mobile powerhouses like facebook. Positioning technologies such as Wireless localization techniques, and Global Positioning System gives rise to location-aware social networks. It allows mobile users to connect and converse with each other within a local physical proximity, based on some criteria such as similar interests and hobbies. But the location data posted to social networks are revealing sources, too. Hence Friend matching has become the sensitive part of Mobile social networks. It's really a challenge for developers to preserve the privacy of users' private information. This paper briefly peeks into the generalized friend matching process in mobile social networks and also gives the overview of various privacy preserving friend matching schemes, which are already established.

Research paper thumbnail of Learning to recommend descriptive tags for health seekers using deep learning

2017 International Conference on Inventive Systems and Control (ICISC), 2017

Health plays an important role for human happiness and well being. Automatic disease prediction i... more Health plays an important role for human happiness and well being. Automatic disease prediction is important to overcome the issues of health seekers. Generally people use Google to search their queries and that search engine respond them with the answer but that answer is in scattered format. User not gets exact answer for his / her queries. So we are going to implement this paper. Here we propose a novel deep learning scheme to infer the disease according to questions of health seekers. In this work we first analyze and categorize needs of health seekers and ask for manifested symptoms for disease prediction. Then user will search for their query. Then the query get processed to give prediction of disease to the user or health seekers. Here concept of hidden layers is get used. First medical signatures mines from raw features. These features and signatures deems as input node in one layer and hidden nodes in subsequent layer. This paper presents idea of deep learning architecture ...

Research paper thumbnail of Friending in Mobile Social Networks: Current Trends and Research Challenges

The rise of mobile social networks is inextricably linked with the revolution in mobile computing... more The rise of mobile social networks is inextricably linked with the revolution in mobile computing, which has spawned a huge industry in mobile application development. Localization techniques such as GPS, has made it possible to share the location information on mobile social networks. Positioning technologies such as Wireless localization techniques, and Global Positioning System gives rise to location-aware social networks. But the location data posted to social networks are revealing sources, too. Hence Friending has become the challenging part of Mobile social networks. This paper discusses the recent trends of friending in mobile social networks and briefly peeks into the research challenges.

Research paper thumbnail of Enhancing Data Security in the Cloud using Security (RSA) Algorithm

Security being the most important factor in cloud computing has to be dealt with great precaution... more Security being the most important factor in cloud computing has to be dealt with great precautions. Thus to provide security to the user data in cloud we make use of RSA algorithm. We have focused on following key tasks: 1. Secure Upload of data on cloud such that even the vendor is unaware of the contents.

Research paper thumbnail of Enhancing the data security in Cloud by implementing hybrid (Rsa & Aes) encryption algorithm

2014 International Conference on Power Automation and Communication, Oct 1, 2014

Research paper thumbnail of Knowledge Representation in Artificial Intelligence - A Practical Approach

BENTHAM SCIENCE PUBLISHERS eBooks, May 8, 2024

Research paper thumbnail of Transfer Learning by Fine-Tuning Pre-trained Convolutional Neural Network Architectures for Image Recognition

Research paper thumbnail of Enhancing Efficiency in Content-based Image Retrieval System Using Pre-trained Convolutional Neural Network Models

BENTHAM SCIENCE PUBLISHERS eBooks, May 8, 2024

Research paper thumbnail of Data Privacy Preserving using Perturbation Technique

Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 2017

Data Mining mainly consist of the discovery of structures, associations and the events in the dat... more Data Mining mainly consist of the discovery of structures, associations and the events in the data. In order to analyze the data related to sector like healthcare, privacy of data is to be maintained. In order to maintain the privacy of data, a perturbation technique is applied on original dataset and a new dataset is formed which is different from original dataset. Data mining can be performed on this perturbed dataset for various surveys and analysis. In this paper, perturbation technique algorithm is explained step by step in order to preserve the privacy of data.

Research paper thumbnail of A powerful method for interactive content-based image retrieval by variable compressed convolutional info neural networks

Research paper thumbnail of Drowsiness Detection System Using Deep Learning Methods

International Journal of Advanced Research in Science, Communication and Technology

Drowsiness and driver fatigue cause a great percentage of road accidents. The number of deaths an... more Drowsiness and driver fatigue cause a great percentage of road accidents. The number of deaths and fatalities injuries due to sleeplessness is increasing every year globally. The drowsy state, caused due to no breaks during a long-distance journey can be detected with an attention assist system, a method that can warn inactiveness and warn the driver about the current state of fatigue by detecting eyes as the region of interest. Our system will locate, track and analyze the driver’s eyes and create an alert for the navigation system. The monitoring system is a real-time system that will use machine learning and computer vision to detect driver fatigue and distraction and efficiently avoid and reduce road-accidents caused. The model is able to predict the drowsiness of driver. It is able to analyze whether the eyes are open or closed and face not detected and displayed the intended output with 99.8% accuracy.

Research paper thumbnail of vSLAM using Deep Learning for Semantic Mapping

International Journal of Advanced Research in Science, Communication and Technology

As the domains of deep learning and computer vision are developing, we are trying to find new app... more As the domains of deep learning and computer vision are developing, we are trying to find new applications as well as utilization in old problems. In this paper we are trying to apply deep learning methods to augment the traditional robotics problem of Simultaneous Localization and Mapping (SLAM). Most traditional SLAM methods build metric maps only, but we are trying to build a semantic map which identifies individual objects in the map meaningfully. We are using basic RGB-D SLAM to start with for the localization part, along with a deep learning-based module for the object detection and recognition. These together provide a semantic map for the environment. For better computational performance and efficiency, we are using OctoMap for the map data structure. To be qualified, our approach has to yield good results in localization, mapping as well as in object detection.

Research paper thumbnail of An overview of secure friend matching in mobile social networks

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015

Mobile users constitute one of the biggest areas of growth in the online market, so it is no surp... more Mobile users constitute one of the biggest areas of growth in the online market, so it is no surprise that mobile social networks have begun becoming more and more popular. Mobile social networks have also become quite as sophisticated as non mobile powerhouses like facebook. Positioning technologies such as Wireless localization techniques, and Global Positioning System gives rise to location-aware social networks. It allows mobile users to connect and converse with each other within a local physical proximity, based on some criteria such as similar interests and hobbies. But the location data posted to social networks are revealing sources, too. Hence Friend matching has become the sensitive part of Mobile social networks. It's really a challenge for developers to preserve the privacy of users' private information. This paper briefly peeks into the generalized friend matching process in mobile social networks and also gives the overview of various privacy preserving friend matching schemes, which are already established.

Research paper thumbnail of Learning to recommend descriptive tags for health seekers using deep learning

2017 International Conference on Inventive Systems and Control (ICISC), 2017

Health plays an important role for human happiness and well being. Automatic disease prediction i... more Health plays an important role for human happiness and well being. Automatic disease prediction is important to overcome the issues of health seekers. Generally people use Google to search their queries and that search engine respond them with the answer but that answer is in scattered format. User not gets exact answer for his / her queries. So we are going to implement this paper. Here we propose a novel deep learning scheme to infer the disease according to questions of health seekers. In this work we first analyze and categorize needs of health seekers and ask for manifested symptoms for disease prediction. Then user will search for their query. Then the query get processed to give prediction of disease to the user or health seekers. Here concept of hidden layers is get used. First medical signatures mines from raw features. These features and signatures deems as input node in one layer and hidden nodes in subsequent layer. This paper presents idea of deep learning architecture ...

Research paper thumbnail of Friending in Mobile Social Networks: Current Trends and Research Challenges

The rise of mobile social networks is inextricably linked with the revolution in mobile computing... more The rise of mobile social networks is inextricably linked with the revolution in mobile computing, which has spawned a huge industry in mobile application development. Localization techniques such as GPS, has made it possible to share the location information on mobile social networks. Positioning technologies such as Wireless localization techniques, and Global Positioning System gives rise to location-aware social networks. But the location data posted to social networks are revealing sources, too. Hence Friending has become the challenging part of Mobile social networks. This paper discusses the recent trends of friending in mobile social networks and briefly peeks into the research challenges.

Research paper thumbnail of Enhancing Data Security in the Cloud using Security (RSA) Algorithm

Security being the most important factor in cloud computing has to be dealt with great precaution... more Security being the most important factor in cloud computing has to be dealt with great precautions. Thus to provide security to the user data in cloud we make use of RSA algorithm. We have focused on following key tasks: 1. Secure Upload of data on cloud such that even the vendor is unaware of the contents.

Research paper thumbnail of Enhancing the data security in Cloud by implementing hybrid (Rsa & Aes) encryption algorithm

2014 International Conference on Power Automation and Communication, Oct 1, 2014