yp raiwani

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Andrej Dujella

University of Zagreb

Hemin Koyi

Uppsala University

Jana Javornik

University of East London

Armando Marques-Guedes

UNL - New University of Lisbon

Graham Martin

University of Leicester

Gwen Robbins Schug

University of North Carolina at Greensboro

Gabriel Gutierrez-Alonso

University of Salamanca

John Sutton

Macquarie University

Eros Carvalho

Universidade Federal do Rio Grande do Sul

Kevin Arbuckle

Swansea University

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Papers by yp raiwani

Novel ABC: Aspect Based Classification of Sentiments Using Text Mining for COVID-19 Comments

Communications in computer and information science, 2022

An Intrusion Detection Model for CICIDS-2017 Dataset Using Machine Learning Algorithms

2022 International Conference on Advances in Computing, Communication and Materials (ICACCM)

Realization of natural language processing and machine learning approaches for text‐based sentiment analysis

Expert Systems

The leading intention of the current paper is to review the research work accomplished by various... more The leading intention of the current paper is to review the research work accomplished by various researchers to achieve sentiment analysis on the text and to elaborate on natural language processing (NLP) and various machine learning algorithms used to evaluate textual sentiments. In this study, primitive cases are considered that used crucial algorithms, and knowledge that can be opted for sentiment analysis. A survey of the work that has been done till now is conducted observing the results and outcomes concerning varying parameters of various researchers who worked on previously existing as well as novel and hybrid algorithms opting legion methodologies. The fundamental algorithms like Support Vector Machine (SVM), Bayesian Networks (BN), Maximum Entropy (MaxEnt), Conditional Random Fields (CRF) and Artificial Neural Networks (ANN) are also discussed to achieve practice percentage and accuracy score in the field of NLP, sentiment analysis and text analytics. Various other novel ...

Extraction of Road Accident Patterns in Uttarakhand Using Neural Network

Aim of the study is the classification of vehicular road accident patterns using data mining in U... more Aim of the study is the classification of vehicular road accident patterns using data mining in Uttarakhand state. Understanding the accidents on age based classification under which drivers and passengers are more likely to be killed or more severely injured in an automobile accident can help improve the overall driving safety situation. Data mining and non-trivial extraction of novel, implicit, and actionable knowledge from large data sets is an evolving technology which is a direct result of the increasing use of computer databases in order to store and retrieve information effectively. It also enables data exploration, data analysis, and data visualization of huge databases at a high level of abstraction, without a specific hypothesis in mind. Understanding the casualties and classifying the road accidents on gender basis can help in improving traffic safety conditions. This paper presents a data mining approaches to explore various factors for vehicular collision. We have used ...

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Text-Based Analysis of COVID-19 Comments Using Natural Language Processing

Artificial Intelligence and Speech Technology, 2022

In dialectology, Natural Language Processing is the process of recognizing the various ontologies... more In dialectology, Natural Language Processing is the process of recognizing the various ontologies of words generated in human language. Various techniques are used for analyzing the corpus from naturally generated content by users on various platforms. The analysis of these textual contents collected during the COVID-19 has become a goldmine for marketing experts as well as for researchers, thus making social media comments available on various platforms like Facebook, Twitter, YouTube, etc., a popular area of applied artificial intelligence. Text-Based Analysis is measured as one of the exasperating responsibilities in Natural Language Processing (NLP). The chief objective of this paper is to work on a corpus that generates relevant information from web-based statements during COVID-19. The findings of the work may give useful insights to researchers working on Text analytics, and authorities concerning to current pandemic. To achieve this, NLP is discussed which extracts relevant information and comparatively computes the morphology on publicly available data thus concluding knowledge behind the corpus. © 2022, Springer Nature Switzerland AG.

Review on Prediction of Heart Diseases Using Data Mining in Healthcare System

Journal of critical reviews, 2020

A Review on Skin Pigment and Vein Pattern Detection Techniques

Communications in computer and information science, 2022

Implementation of a Machine Learning Algorithm in an Autonomous Sailboat

Scientific Bulletin of Naval Academy, 2016

The sea always pumped up human's curiosity. We have been exploring it since the beginning of time... more The sea always pumped up human's curiosity. We have been exploring it since the beginning of time. It had always an important role in the society since we make use of it in several activities like collecting resources, dispatching merchandise or just for recreating activities. The number of ships crossing the oceans is incredible high, and there are a lot of illegal activities. A robotic sailing boat is a complex system. It has several parts that come together in a specific order to achieve the goal of sailing. The important sensors are the wind meter, the compass and the GPS sensor, but, this project, as also other sensors like a SD card reader sensor and a 433MHz trans-receiver. This sensors describes the environment. This paper presents an online machine learning agent developed to control a small scale sail autonomous sail boat. Implement this is a big challenge, as we are running our project into an Arduino mega, clocking at the speed of 16 Mhz. Design this agent is complex, because, sailing depends on a lot of variables, and we have restricted processing capacity. In this paper we describe the variables that we used to construct the different matrixand how they become a usable information to the boat successfully sail.

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Polarity and Subjectivity Analysis for Social Media Sentiments Amidst COVID-19

SSRN Electronic Journal

Integration of sensor networks and decision support tools for basin-scale, real-time water quality management

Recent advances in sensor technologies and the steep decline in the cost of developing and operat... more Recent advances in sensor technologies and the steep decline in the cost of developing and operating sensor networks have led to an explosion of environmental applications. Real-time telemetry access to the environmental monitoring data produced by these sensor networks can now provided reliably and cheaply. However development of the institutional and administrative structures that turn this torrent of real-time data into information that informs decisions is more challenging examples of successful sensor network projects that support decision-making at the basin-scale level are few. In this paper some of the challenges faced in making sensor networks an integral part of river basin management are described using an example from the San Joaquin River Basin of California. The San Joaquin River is an impaired water-body and one of the most regulated in the nation. An innovative alternative to EPA’s TMDL (Total Maximum Daily Load) pollutant control policy is being investigated which r...

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Antibacterial Activity of Onopordum Espinae: Identification of Hispidulin and Dehydromelitensin-8-(4ꞌ-Hydroxy-Methacrylate)

Iranian Journal of Pharmaceutical Research : IJPR, 2017

Hexane, ethyl acetate and methanol extracts of Onopordum espinae leaves were investigated for the... more Hexane, ethyl acetate and methanol extracts of Onopordum espinae leaves were investigated for their antibacterial activities against Bacillus cereus, Staphylococcus aureus, Enterococcus faecalis, Escherichia coli, Pseudomonas aeruginosa, and Salmonella enteritidis. Hexane and ethyl acetate extracts were toxic to Gram-positive bacteria with inhibition zone diameters ranging between 12 and 30 mm. Two products, hispidulin 1, and dehydromelitensin-8-(4ꞌ-hydroxy-methacrylate) 2 were isolated from the ethyl acetate extract of leaves and identified by 2D-NMR for the first time from this species. Ethyl acetate extractꞌs total flavonoid content was the highest, as 78.73 mg quercetin equivalents (QE)/g. The methanol extract showed the highest total phenolic content as 243.43 mg gallic acid equivalents (GAE)/g and gave the most important 2,2-diphenyl-1-picrylhydrazyl (DPPH)scavenging activity (EC50 = 86 µg/mL).

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International Journal of Electronics and Computer Science Engineering 257 Available Online at www.ijecse.org ISSN- 2277-1956 Hazards and the Security with respect to the Physical Layer in Common Networks

– The entire online revolution is because of the growth of networking technologies. We use comput... more – The entire online revolution is because of the growth of networking technologies. We use computer networks to carry out bank transactions, to manage the power grid, to control the transport infrastructure, to fight crime, to buy and sell goods and services and so on. A network is a combination of hardware and software that sends data from one location to another. TCP/IP is a hierarchical protocol made up of interactive modules, each of which provides a specific functionality and is the de facto standard used for networking. The advent and success of the Internet, together with the large-scale deployment of wireless networks, now allows ubiquitous access to communication networks; however, the pervasive access to online services often comes at the expense of security. Most security schemes have been applied to the upper layers of communication networks. Since in a typical wireless communication, transmission of data is over the air, third party receiver(s) may have easy access to t...

Data Reduction Techniques to Analyze NSL-KDD Dataset

by yp raiwani and shailesh panwar

In information field we have huge amount of data available that need to be turned into useful inf... more In information field we have huge amount of data available that need to be turned into useful information. So we used Data reduction and its techniques. A process in which amount of data is minimized and that minimized data are stored in a data storage environment is known as data reduction. By this process of reducing data various advantages have been achieved in computer networks such as increasing storage efficiency and reduced computational costs. In this paper we have applied data reduction algorithms on NSL-KDD dataset. The output of each data reduction algorithm is given as an input to two classification algorithms i.e. J48 and Naïve Bayes. Our main is to find out which data reduction technique proves to be useful in enhancing the performance of the classification algorithm. Results are compared on the bases of accuracy, specificity and sensitivity.

A Study of Acoustic Features Pattern of Emotion Expression for Hindi Speech

Emotion is an affective state of consciousness that involves feeling and plays a significant role... more Emotion is an affective state of consciousness that involves feeling and plays a significant role in communication. There are objectively measurable voice parameters at physiological, articulatory -phonetics and acoustic levels that reflect currently experiencing affective emotional state of a person. Measurements at the physiological and articulatory-phonetics levels are invasive and require specialized equipments. Acoustic parameters of emotion expression can be obtained unremarkably from speech recording that allow speech emotion analysis and speaker's emotion recognition inferences and hold important prospects for interdisciplinary research on emotional speech. In present study we analyzed feature pattern of acoustic parameters including pitch, duration, intensity and Formants based on the emotional speech sentences in Hindi classified according to auditory impressions and emotion based speaker identification system. Six speakers of different age group were chosen and twent...

Performance Analysis of NSL-KDD Dataset Using Classification Algorithms with Different Feature Selection Algorithms and Supervised Filter Discretization

Advances in Intelligent Systems and Computing, 2019

Naive Bayes and Bayes Net are critical classification methods in data mining classification and h... more Naive Bayes and Bayes Net are critical classification methods in data mining classification and have build up being important software tools for the classification, the description and generalization of information. All classification algorithms are open sources, which are implemented on Java (C4.5 algorithms) for WEKA software tool. In this paper, we exhibit the strategy for increasing the performance of Naive Bayes and Bayes Net algorithms with supervised filter discretization after we applied feature selection techniques. We have used the supervised filter discretization on two classification algorithms and compared the result with and without discretization. The outcomes acquired from the experiment showed significant improvement over the existing classification algorithms.

A Study of Gender Specific Pitch Variation Pattern of Emotion Expression for Hindi Speech

The present study is an attempt to analyze the pitch variation pattern of Hindi emotional voice s... more The present study is an attempt to analyze the pitch variation pattern of Hindi emotional voice samples in five different emotional states. Sample sentences of male and female speakers were recorded in different emotions i.e. Neutral, Angry, Happiness, Sadness and Surprise. Emotion validation of sample sentences was done using machine recognizer and listening test. Pitch variation analysis of the statistics derived from the pitch contour on selected sample sentences was performed using PRAAT and MATLAB and results computed as mean, standard deviation, maximum and minimum pitch, pitch range, and peak parameters show a strong influence of pitch variation on the emotional state of the speakers. The analysis includes discriminating capability of pitch features in different emotions when gender information is taken into consideration.

Study of Speaker’s Emotion Identification for Hindi Speech

Abstract- Emotion based speaker Identification System is the process of automatically identifying... more Abstract- Emotion based speaker Identification System is the process of automatically identifying speaker’s emotion based on features extracted from speech waves. This paper presents experiment with the building and testing of a Speaker’s emotion identification for Hindi speech using Mel Frequency Cepestral Coefficients and Vector Quantization techniques. We collected voice samples of Hindi speech sentences in four basic emotions to study speaker’s emotion identification and it was found that with proposed emo-voice model we are able to achieve accuracy of 73 % of speaker’s emotion identification in speech out of 93 % of the total speech samples provided to the system.

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Study of Speaker’s Emotion Identification for Hindi Speech

by yp raiwani and Sushma Bahuguna

Emotion based speaker Identification System is the process of automatically identifying speaker’s... more Emotion based speaker Identification System is the process of automatically identifying speaker’s emotion based on features extracted from speech waves. This paper presents experiment with the building and testing of a Speaker’s emotion identification for Hindi speech using Mel Frequency Cepestral Coefficients and Vector Quantization techniques. We collected voice samples of Hindi speech sentences in four basic emotions to study speaker’s emotion identification and it was found that with proposed emo-voice model we are able to achieve accuracy of 73% of speaker’s emotion identification in speech out of 93% of the total speech samples provided to the system.

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Research Challenges and Performance of Clustering Techniques to Analyze NSL-KDD Dataset

Due to different malicious activities over Internet, there are major challenges to the research c... more Due to different malicious activities over Internet, there are major challenges to the research community as well as to the corporations. Many data mining techniques have been adopted for this purpose i.e. classification, clustering, association rule mining, regression, visualization etc. For this purpose clustering provides a better representation of network traffic in order to identify the type of data flowing through network. Clustering algorithms have been used most widely as an unsupervised classifier to organize and categorize data. In this paper we have analyzed four different clustering algorithms using NSL-KDD dataset. We tried to cluster the dataset in two classes i.e. normal and anomaly, using Kmeans, EM, DB clustering and COBWEB. The main objective of this evaluation is to determine the class labels of different type of data present in intrusion detection dataset and to find out efficient clustering algorithm. The results of the evaluation are compared and challenges fac...

Impact of Modeling and Simulation for Conductivity Measurements

Modeling and simulation techniques have opened the new windows to address various issues related ... more Modeling and simulation techniques have opened the new windows to address various issues related with complex computations. Researchers belonging to different field viz. Economics, Physics, Biology etc. have been applying computer-aided simulated techniques in their research work. The modified mathematical model relevant to the present case has been taken into account. Further, simulation techniques become the essential tool to examine the behavior of the proposed system so as to explain and verify in the real-world situation. The present paper explores the aspects of modeling and simulation by discussing the measurements of the conductivity of YBCO superconductor materials by using the mathematical model for the numerical experimentation in the temperature range of 10K to 240K. By changing the value of one of the scattering strength, impact of modeling and simulation has also been observed.

Novel ABC: Aspect Based Classification of Sentiments Using Text Mining for COVID-19 Comments

Communications in computer and information science, 2022

An Intrusion Detection Model for CICIDS-2017 Dataset Using Machine Learning Algorithms

2022 International Conference on Advances in Computing, Communication and Materials (ICACCM)

Realization of natural language processing and machine learning approaches for text‐based sentiment analysis

Expert Systems

Extraction of Road Accident Patterns in Uttarakhand Using Neural Network

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Text-Based Analysis of COVID-19 Comments Using Natural Language Processing

Artificial Intelligence and Speech Technology, 2022

Review on Prediction of Heart Diseases Using Data Mining in Healthcare System

Journal of critical reviews, 2020

A Review on Skin Pigment and Vein Pattern Detection Techniques

Communications in computer and information science, 2022

Implementation of a Machine Learning Algorithm in an Autonomous Sailboat

Scientific Bulletin of Naval Academy, 2016

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Polarity and Subjectivity Analysis for Social Media Sentiments Amidst COVID-19

SSRN Electronic Journal

Integration of sensor networks and decision support tools for basin-scale, real-time water quality management

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Antibacterial Activity of Onopordum Espinae: Identification of Hispidulin and Dehydromelitensin-8-(4ꞌ-Hydroxy-Methacrylate)

Iranian Journal of Pharmaceutical Research : IJPR, 2017

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Data Reduction Techniques to Analyze NSL-KDD Dataset

by yp raiwani and shailesh panwar

A Study of Acoustic Features Pattern of Emotion Expression for Hindi Speech

Performance Analysis of NSL-KDD Dataset Using Classification Algorithms with Different Feature Selection Algorithms and Supervised Filter Discretization

Advances in Intelligent Systems and Computing, 2019

A Study of Gender Specific Pitch Variation Pattern of Emotion Expression for Hindi Speech

Study of Speaker’s Emotion Identification for Hindi Speech

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Study of Speaker’s Emotion Identification for Hindi Speech

by yp raiwani and Sushma Bahuguna

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Research Challenges and Performance of Clustering Techniques to Analyze NSL-KDD Dataset

Impact of Modeling and Simulation for Conductivity Measurements

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