Vidya Zope - Academia.edu (original) (raw)

Teaching Documents by Vidya Zope

Research paper thumbnail of L1-Introductionfor automata

Papers by Vidya Zope

Research paper thumbnail of A Deep Learning Approach to Classify Plant and Detect Disease

Journal of emerging technologies and innovative research, Oct 1, 2021

In the plant production industry plant growth monitoring and plant protection are some of the mos... more In the plant production industry plant growth monitoring and plant protection are some of the most important elements. The productivity and quality of plants are influenced by these factors. One of the major factors that deteriorate plant health is diseases. The use of computer vision techniques, machine learning algorithms, and deep learning models have gained value due to their capability of dealing with complex data with accuracy. These techniques are very widely used for pattern recognition and classification problems. Therefore in this work, a multilayer convolutional neural network is proposed for the classification of the plant species and diseased plant leaf images. The main objective of our project is to build an online application that identifies the plant species from leaf image and gives a description of that plant. And it detects that the plant has any disease, simultaneously.

Research paper thumbnail of Analysis and Prediction of Football Statistics using Data Mining Techniques

International journal of computer applications, Dec 17, 2015

To solve the problem of loss of interest in Fantasy Football over the season, a game-changing str... more To solve the problem of loss of interest in Fantasy Football over the season, a game-changing strategy was thought of which led to the creation of this idea. Powered by an exhaustive dataset of all football statistics from 1992 i.e. the start of the Premier League era, it seemed exciting to allow the use of Data Mining techniques to forecast future statistics. A points system based on the success of predictions (explained later in detail), which in turn allow buying/auctioning better players adds a greater interactive feeling to the existing FPL system. This would prevent the churning of players of the season, since they would be attracted to getting more points and better players through such predictions.

Research paper thumbnail of sha-Early Intervention for children at risk of ASD

Research paper thumbnail of Anomaly Detection Using Machine Learning

International Journal of Advance Research, Ideas and Innovations in Technology, Feb 23, 2018

In this day and age of plethora of information, the importance of information security cannot be ... more In this day and age of plethora of information, the importance of information security cannot be emphasized enough. Any threat to confidentiality, integrity or availability of information must be taken seriously. Ignoring such threats can have serious consequences, like misappropriation, modification or encryption of data. Vulnerabilities in information security are a tempting target for malwares. Malwares are malicious scripts or software, including computer viruses, worms, Trojan-horses, ransomware, spyware, adware, etc. The traditional way of detecting an advanced malware or threat compromise uses a signature based antivirus. This approach, however, is not foolproof and can be bypassed. The signature based approach relies on a known list of signatures. The list of signatures is not perfect and also does not contain previously unseen malware signatures. The proposed system uses operational intelligence tools and machine learning to monitor usual user behavior. This is done by collecting system activities like event logs, sysinternal, etc. Once the system learns normal behavior patterns, it can detect anomalies that may be caused by malware. Thus, unlike signature based approach, the proposed system can detect previously unseen malwares as well.

Research paper thumbnail of Gis Approach to Determine Suitability of Trees for Afforestation

International journal of innovative research in computer science & technology, May 1, 2021

India have been lost to development projects over the period of past 4 years (2015-16 to 2018-19)... more India have been lost to development projects over the period of past 4 years (2015-16 to 2018-19). This is according to the Union ministry of environment, forests and climate change (MoEFCC). Afforestation refers to the effort to plant trees in barren lands to create a forest. Planting trees, sowing seeds in a barren land so as to create a forest. It is very vital as it helps to keep in check the over usage of natural resources by providing an alternative source. Planting trees is always beneficial to the environment regardless of the habitat.

Research paper thumbnail of AttenQ- Attention Span Detection Tool for Online Learning

Research paper thumbnail of sha-Early Intervention for children at risk of ASD

2022 International Conference on Industry 4.0 Technology (I4Tech)

Research paper thumbnail of ML based Approaches for Detection and Development of Autism Spectrum Disorder: A Review

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)

Research paper thumbnail of Smart Health Prediction Using Machine Learning

International Research Journal on Advanced Science Hub, 2021

The "Smart Health Prediction Using Machine Learning" system, based on predictive modelling, predi... more The "Smart Health Prediction Using Machine Learning" system, based on predictive modelling, predicts the disease of patients/users on the basis of the symptoms that the user provides symptoms as an input to the system. The application has three login options: user/patient login, doctor login, and admin login.The device analyses the symptoms given by the user/patient as input and provides the likelihood of the disease as output based on the prediction using the algorithm. Smart health predictions are made by the implementation of the Naïve Bayes Classifier. The Naïve Bayes Classifier measures the disease percentage probability by considering all its features that is trained during the training phase.Exact interpretation of disease data benefits early patient/user disease prediction and provides clear vision about the disease to the user. After a prediction, the user/patient can consult a specialist doctor using a chat consulting window. It uses machine learning algorithms and database management techniques to extract new patterns from historical data. The Forecast Accuracy can improve with the use of a machine learning algorithm and the user/patient will get fast and easy access to the application.

Research paper thumbnail of Trail-Tracker: Anti-Poaching Intelligence Using Ai and Iot

Poaching in today’s world is one of the most significant threats to wildlife. Poachers use differ... more Poaching in today’s world is one of the most significant threats to wildlife. Poachers use different methods to capture animals. Many commercial poachers use military-grade weapons along with arrows and spears to hunt wildlife. Sometimes, objects called snares (a set of wires tied to trees configured to capture any animal by their leg or neck that gets into it) are also implemented. Poachers also trap the animal into large nets, known as trap nets, pitfall traps (a vast pit dug in the ground that is layered with leaves and plants) or baits. In this paper, we suggest a new solution that operates in real-time to pursue the cause of wildlife conservation by preventing the poaching of any species of animals endangered or non-endangered by profit-hungry poachers with the help of Artificial Intelligence(AI) and Internet of Things(IoT). In comparison to previous methods in the same domain, it presents an alternate approach, in the form of a monitoring system that can track poaching activit...

Research paper thumbnail of A Deep Learning Approach to Classify Plant and Detect Disease

Journal of emerging technologies and innovative research, Oct 1, 2021

In the plant production industry plant growth monitoring and plant protection are some of the mos... more In the plant production industry plant growth monitoring and plant protection are some of the most important elements. The productivity and quality of plants are influenced by these factors. One of the major factors that deteriorate plant health is diseases. The use of computer vision techniques, machine learning algorithms, and deep learning models have gained value due to their capability of dealing with complex data with accuracy. These techniques are very widely used for pattern recognition and classification problems. Therefore in this work, a multilayer convolutional neural network is proposed for the classification of the plant species and diseased plant leaf images. The main objective of our project is to build an online application that identifies the plant species from leaf image and gives a description of that plant. And it detects that the plant has any disease, simultaneously.

Research paper thumbnail of Anomaly Detection Using Machine Learning

In this day and age of a plethora of information, the importance of information security cannot b... more In this day and age of a plethora of information, the importance of information security cannot be emphasized enough. Any threat to confidentiality, integrity or availability of information must be taken seriously. Ignoring such threats can have serious consequences, like misappropriation, modification or encryption of data. Vulnerabilities in information security are a tempting target for malware. Malware are malicious scripts or software, including computer viruses, worms, Trojan-horses, ransomware, spyware, adware, etc. The traditional way of detecting an advanced malware or threat compromise uses a signature-based antivirus. This approach, however, is not foolproof and can be bypassed. The signature-based approach relies on a known list of signatures. The list of signatures is not perfect and also does not contain previously unseen malware signatures. The proposed system uses operational intelligence tools and machine learning to monitor usual user behavior. This is done by coll...

Research paper thumbnail of Analysis of Twitter Reactions to Government Policies

With the increasing use of social media, especially Twitter, the way governments policies are per... more With the increasing use of social media, especially Twitter, the way governments policies are perceived can be understood through the reactions they garner on twitter. In India, in recent times, there have been many significant policy changes like demonetization, Goods and Services Tax to name a few. Sentiment analysis of Twitter reaction to these policy changes across different regions can provide very useful insights. In this paper, we talk about sentiment analysis of twitter reactions, its use in the government policies context, the various methods which can be used for it and output visualization for better understanding.

Research paper thumbnail of Sentiment Analysis of Seller Reviews

Online transactions have seen a rapid growth in the last few years and consumer reviews have beco... more Online transactions have seen a rapid growth in the last few years and consumer reviews have become an important part of this growing business. Seller Trust Profile can be computed using various models. These models make use of the feedback reviews which consist of ratings as well as comments given by the user. Models that compute seller trust score based on user feedback overlook the important details in the text and give inaccurate trust scores based on user ratings. We propose a novel model for computing seller trust profile based on the user reviews and we would recommend this trust profile to the user.

Research paper thumbnail of Autonomous Surveillance Cam-Recorder System

An autonomous camera based object tracking and behaviour monitoring system for recognizing comple... more An autonomous camera based object tracking and behaviour monitoring system for recognizing complex activities in real time mode. Video surveillance is becoming increasingly important for security-sensitive areas and thus the proposed system is an Autonomous Surveillance Cam-recorder System (ASCRS) to detect human and track their activities. ASCRS is composed of human detection in real time surveillance using image processing (IP) and behaviour analysis using artificial intelligence (AI).

Research paper thumbnail of Online E-commerce Venture - Choose The Best

This paper entitled 'E-commerce venture -choose the best' plays a key role in the upliftm... more This paper entitled 'E-commerce venture -choose the best' plays a key role in the upliftment of digitization and automation of small-scale businesses. The majority of the small businesses in India don't have a website according to the survey conducted by GoDaddy-world's largest technology services provider. In short, the proposed system aims at building online e-commerce ventures to satisfy the needs of small businesses and enterprises by providing extensive machine learning features.

Research paper thumbnail of 8 Analysis and Prediction of Football Statistics using Data Mining Techniques

To solve the problem of loss of interest in Fantasy Football over the season, a game-changing str... more To solve the problem of loss of interest in Fantasy Football over the season, a game-changing strategy was thought of which led to the creation of this idea. Powered by an exhaustive dataset of all football statistics from 1992 i.e. the start of the Premier League era, it seemed exciting to allow the use of Data Mining techniques to forecast future statistics. A points system based on the success of predictions (explained later in detail), which in turn allow buying/auctioning better players adds a greater interactive feeling to the existing FPL system. This would prevent the churning of players of the season, since they would be attracted to getting more points and better players through such predictions. Keywords data-mining; sports; football; prediction; statistics; analysis; fantasy football; 1.

Research paper thumbnail of Gis Approach to Determine Suitability of Trees for Afforestation

International Journal of Innovative Research in Computer Science & Technology

9.4 million trees across forest areas in India have been lost to development projects over the pe... more 9.4 million trees across forest areas in India have been lost to development projects over the period of past 4 years (2015-16 to 2018-19). This is according to the Union ministry of environment, forests and climate change (MoEFCC). Afforestation refers to the effort to plant trees in barren lands to create a forest. Planting trees, sowing seeds in a barren land so as to create a forest. It is very vital as it helps to keep in check the over usage of natural resources by providing an alternative source. Planting trees is always beneficial to the environment regardless of the habitat.

Research paper thumbnail of Online E-commerce Venture - Choose The Best

This paper entitled 'E-commerce venture -choose the best' plays a key role in the upliftm... more This paper entitled 'E-commerce venture -choose the best' plays a key role in the upliftment of digitization and automation of small-scale businesses. The majority of the small businesses in India don't have a website according to the survey conducted by GoDaddy-world's largest technology services provider. In short, the proposed system aims at building online e-commerce ventures to satisfy the needs of small businesses and enterprises by providing extensive machine learning features.

Research paper thumbnail of A Deep Learning Approach to Classify Plant and Detect Disease

Journal of emerging technologies and innovative research, Oct 1, 2021

In the plant production industry plant growth monitoring and plant protection are some of the mos... more In the plant production industry plant growth monitoring and plant protection are some of the most important elements. The productivity and quality of plants are influenced by these factors. One of the major factors that deteriorate plant health is diseases. The use of computer vision techniques, machine learning algorithms, and deep learning models have gained value due to their capability of dealing with complex data with accuracy. These techniques are very widely used for pattern recognition and classification problems. Therefore in this work, a multilayer convolutional neural network is proposed for the classification of the plant species and diseased plant leaf images. The main objective of our project is to build an online application that identifies the plant species from leaf image and gives a description of that plant. And it detects that the plant has any disease, simultaneously.

Research paper thumbnail of Analysis and Prediction of Football Statistics using Data Mining Techniques

International journal of computer applications, Dec 17, 2015

To solve the problem of loss of interest in Fantasy Football over the season, a game-changing str... more To solve the problem of loss of interest in Fantasy Football over the season, a game-changing strategy was thought of which led to the creation of this idea. Powered by an exhaustive dataset of all football statistics from 1992 i.e. the start of the Premier League era, it seemed exciting to allow the use of Data Mining techniques to forecast future statistics. A points system based on the success of predictions (explained later in detail), which in turn allow buying/auctioning better players adds a greater interactive feeling to the existing FPL system. This would prevent the churning of players of the season, since they would be attracted to getting more points and better players through such predictions.

Research paper thumbnail of sha-Early Intervention for children at risk of ASD

Research paper thumbnail of Anomaly Detection Using Machine Learning

International Journal of Advance Research, Ideas and Innovations in Technology, Feb 23, 2018

In this day and age of plethora of information, the importance of information security cannot be ... more In this day and age of plethora of information, the importance of information security cannot be emphasized enough. Any threat to confidentiality, integrity or availability of information must be taken seriously. Ignoring such threats can have serious consequences, like misappropriation, modification or encryption of data. Vulnerabilities in information security are a tempting target for malwares. Malwares are malicious scripts or software, including computer viruses, worms, Trojan-horses, ransomware, spyware, adware, etc. The traditional way of detecting an advanced malware or threat compromise uses a signature based antivirus. This approach, however, is not foolproof and can be bypassed. The signature based approach relies on a known list of signatures. The list of signatures is not perfect and also does not contain previously unseen malware signatures. The proposed system uses operational intelligence tools and machine learning to monitor usual user behavior. This is done by collecting system activities like event logs, sysinternal, etc. Once the system learns normal behavior patterns, it can detect anomalies that may be caused by malware. Thus, unlike signature based approach, the proposed system can detect previously unseen malwares as well.

Research paper thumbnail of Gis Approach to Determine Suitability of Trees for Afforestation

International journal of innovative research in computer science & technology, May 1, 2021

India have been lost to development projects over the period of past 4 years (2015-16 to 2018-19)... more India have been lost to development projects over the period of past 4 years (2015-16 to 2018-19). This is according to the Union ministry of environment, forests and climate change (MoEFCC). Afforestation refers to the effort to plant trees in barren lands to create a forest. Planting trees, sowing seeds in a barren land so as to create a forest. It is very vital as it helps to keep in check the over usage of natural resources by providing an alternative source. Planting trees is always beneficial to the environment regardless of the habitat.

Research paper thumbnail of AttenQ- Attention Span Detection Tool for Online Learning

Research paper thumbnail of sha-Early Intervention for children at risk of ASD

2022 International Conference on Industry 4.0 Technology (I4Tech)

Research paper thumbnail of ML based Approaches for Detection and Development of Autism Spectrum Disorder: A Review

2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)

Research paper thumbnail of Smart Health Prediction Using Machine Learning

International Research Journal on Advanced Science Hub, 2021

The "Smart Health Prediction Using Machine Learning" system, based on predictive modelling, predi... more The "Smart Health Prediction Using Machine Learning" system, based on predictive modelling, predicts the disease of patients/users on the basis of the symptoms that the user provides symptoms as an input to the system. The application has three login options: user/patient login, doctor login, and admin login.The device analyses the symptoms given by the user/patient as input and provides the likelihood of the disease as output based on the prediction using the algorithm. Smart health predictions are made by the implementation of the Naïve Bayes Classifier. The Naïve Bayes Classifier measures the disease percentage probability by considering all its features that is trained during the training phase.Exact interpretation of disease data benefits early patient/user disease prediction and provides clear vision about the disease to the user. After a prediction, the user/patient can consult a specialist doctor using a chat consulting window. It uses machine learning algorithms and database management techniques to extract new patterns from historical data. The Forecast Accuracy can improve with the use of a machine learning algorithm and the user/patient will get fast and easy access to the application.

Research paper thumbnail of Trail-Tracker: Anti-Poaching Intelligence Using Ai and Iot

Poaching in today’s world is one of the most significant threats to wildlife. Poachers use differ... more Poaching in today’s world is one of the most significant threats to wildlife. Poachers use different methods to capture animals. Many commercial poachers use military-grade weapons along with arrows and spears to hunt wildlife. Sometimes, objects called snares (a set of wires tied to trees configured to capture any animal by their leg or neck that gets into it) are also implemented. Poachers also trap the animal into large nets, known as trap nets, pitfall traps (a vast pit dug in the ground that is layered with leaves and plants) or baits. In this paper, we suggest a new solution that operates in real-time to pursue the cause of wildlife conservation by preventing the poaching of any species of animals endangered or non-endangered by profit-hungry poachers with the help of Artificial Intelligence(AI) and Internet of Things(IoT). In comparison to previous methods in the same domain, it presents an alternate approach, in the form of a monitoring system that can track poaching activit...

Research paper thumbnail of A Deep Learning Approach to Classify Plant and Detect Disease

Journal of emerging technologies and innovative research, Oct 1, 2021

In the plant production industry plant growth monitoring and plant protection are some of the mos... more In the plant production industry plant growth monitoring and plant protection are some of the most important elements. The productivity and quality of plants are influenced by these factors. One of the major factors that deteriorate plant health is diseases. The use of computer vision techniques, machine learning algorithms, and deep learning models have gained value due to their capability of dealing with complex data with accuracy. These techniques are very widely used for pattern recognition and classification problems. Therefore in this work, a multilayer convolutional neural network is proposed for the classification of the plant species and diseased plant leaf images. The main objective of our project is to build an online application that identifies the plant species from leaf image and gives a description of that plant. And it detects that the plant has any disease, simultaneously.

Research paper thumbnail of Anomaly Detection Using Machine Learning

In this day and age of a plethora of information, the importance of information security cannot b... more In this day and age of a plethora of information, the importance of information security cannot be emphasized enough. Any threat to confidentiality, integrity or availability of information must be taken seriously. Ignoring such threats can have serious consequences, like misappropriation, modification or encryption of data. Vulnerabilities in information security are a tempting target for malware. Malware are malicious scripts or software, including computer viruses, worms, Trojan-horses, ransomware, spyware, adware, etc. The traditional way of detecting an advanced malware or threat compromise uses a signature-based antivirus. This approach, however, is not foolproof and can be bypassed. The signature-based approach relies on a known list of signatures. The list of signatures is not perfect and also does not contain previously unseen malware signatures. The proposed system uses operational intelligence tools and machine learning to monitor usual user behavior. This is done by coll...

Research paper thumbnail of Analysis of Twitter Reactions to Government Policies

With the increasing use of social media, especially Twitter, the way governments policies are per... more With the increasing use of social media, especially Twitter, the way governments policies are perceived can be understood through the reactions they garner on twitter. In India, in recent times, there have been many significant policy changes like demonetization, Goods and Services Tax to name a few. Sentiment analysis of Twitter reaction to these policy changes across different regions can provide very useful insights. In this paper, we talk about sentiment analysis of twitter reactions, its use in the government policies context, the various methods which can be used for it and output visualization for better understanding.

Research paper thumbnail of Sentiment Analysis of Seller Reviews

Online transactions have seen a rapid growth in the last few years and consumer reviews have beco... more Online transactions have seen a rapid growth in the last few years and consumer reviews have become an important part of this growing business. Seller Trust Profile can be computed using various models. These models make use of the feedback reviews which consist of ratings as well as comments given by the user. Models that compute seller trust score based on user feedback overlook the important details in the text and give inaccurate trust scores based on user ratings. We propose a novel model for computing seller trust profile based on the user reviews and we would recommend this trust profile to the user.

Research paper thumbnail of Autonomous Surveillance Cam-Recorder System

An autonomous camera based object tracking and behaviour monitoring system for recognizing comple... more An autonomous camera based object tracking and behaviour monitoring system for recognizing complex activities in real time mode. Video surveillance is becoming increasingly important for security-sensitive areas and thus the proposed system is an Autonomous Surveillance Cam-recorder System (ASCRS) to detect human and track their activities. ASCRS is composed of human detection in real time surveillance using image processing (IP) and behaviour analysis using artificial intelligence (AI).

Research paper thumbnail of Online E-commerce Venture - Choose The Best

This paper entitled 'E-commerce venture -choose the best' plays a key role in the upliftm... more This paper entitled 'E-commerce venture -choose the best' plays a key role in the upliftment of digitization and automation of small-scale businesses. The majority of the small businesses in India don't have a website according to the survey conducted by GoDaddy-world's largest technology services provider. In short, the proposed system aims at building online e-commerce ventures to satisfy the needs of small businesses and enterprises by providing extensive machine learning features.

Research paper thumbnail of 8 Analysis and Prediction of Football Statistics using Data Mining Techniques

To solve the problem of loss of interest in Fantasy Football over the season, a game-changing str... more To solve the problem of loss of interest in Fantasy Football over the season, a game-changing strategy was thought of which led to the creation of this idea. Powered by an exhaustive dataset of all football statistics from 1992 i.e. the start of the Premier League era, it seemed exciting to allow the use of Data Mining techniques to forecast future statistics. A points system based on the success of predictions (explained later in detail), which in turn allow buying/auctioning better players adds a greater interactive feeling to the existing FPL system. This would prevent the churning of players of the season, since they would be attracted to getting more points and better players through such predictions. Keywords data-mining; sports; football; prediction; statistics; analysis; fantasy football; 1.

Research paper thumbnail of Gis Approach to Determine Suitability of Trees for Afforestation

International Journal of Innovative Research in Computer Science & Technology

9.4 million trees across forest areas in India have been lost to development projects over the pe... more 9.4 million trees across forest areas in India have been lost to development projects over the period of past 4 years (2015-16 to 2018-19). This is according to the Union ministry of environment, forests and climate change (MoEFCC). Afforestation refers to the effort to plant trees in barren lands to create a forest. Planting trees, sowing seeds in a barren land so as to create a forest. It is very vital as it helps to keep in check the over usage of natural resources by providing an alternative source. Planting trees is always beneficial to the environment regardless of the habitat.

Research paper thumbnail of Online E-commerce Venture - Choose The Best

This paper entitled 'E-commerce venture -choose the best' plays a key role in the upliftm... more This paper entitled 'E-commerce venture -choose the best' plays a key role in the upliftment of digitization and automation of small-scale businesses. The majority of the small businesses in India don't have a website according to the survey conducted by GoDaddy-world's largest technology services provider. In short, the proposed system aims at building online e-commerce ventures to satisfy the needs of small businesses and enterprises by providing extensive machine learning features.

Research paper thumbnail of Efficient Social Distancing Detection Using Object Detection and Triangle Similarity

Communications in Computer and Information Science