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235 articles for “classification”
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A Review of Modeling and Data Mining Techniques Applied for Analyzing Steel Bridges
Abstract: The vibration response data measured from the structure contains uncertainties and requires different techniques for its analysis. The present study involves the comprehensive review of the model based and data mining techniques which are frequently applied by various researchers in past to solve various multi criteria decision making and analysis problems. The selection of suitable technique for specific problem is required to obtain accurate outcomes. The literature survey is done …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 1–15 Read article
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Anomaly Detection Network for Surveillance Video
Abstract: Anomaly Activity is the prediction of a suspicious activity from a picture or video. This project would include using neural networks to detect suspicious human activity from real-time CCTV video. Human Anomaly Activity is a central issue in computer vision that has been researched for over 15 years. It is significant due to the large number of applications that can benefit from Activity detection. Human pose estimation, for example, is …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 13–20 Read article
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Identification of Plant Leaf Diseases Using CNN
Abstract: The proposed approach helps detect leaf withering and provides a treatment. Databases retrieved from the internet are strictly isolated; unique leaf seeds are recognized and renamed to create an acceptable database. Next, you will receive a test database consisting of a series of leaf rots that will be used to verify the accuracy and reliability stages of your project. Already used. Then use the coaching statistics to train the classifier …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 1–5 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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Analysis of Road Lane Detection Using Computer Vision
Abstract: Today’s technological advancement brings an opportunity to automate all the essential processes. Driving is one of the challenging tasks. The rapid growth of image processing technologies allows us to achieve an automatic driving system without human intervention. Numerous researchers are working on the development of algorithms for the automation of road lane detection during the self-driving car. This study presents an algorithm which can detect road lanes and the upcoming …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 7–14 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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A Combined Cycle Power Plant Using Graph Theory and Systems Modelling-Review
Abstract: Graph theory is a well-established tool for the analysis of any system. For the graph theory system has to be divided in to sub systems and factors have to be identified for the analysis. In the present work some of the attributes are identified for the application of graph theory. A proper identification of the attributes helps in precise evaluation of selection of combined cycle power plant systems. As the …
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 2, 2015 · pp. 38–42 Read article
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Recent Advances in Hand Gesture Recognition: A Review of Algorithms and Applications
Abstract: When it comes to human communication, hand movements are crucial in sign language. People who are Deaf or Hard of Hearing communicate with hand gestures. The experimental plan of action makes use of a reasonably priced, solid-position web camera with a 10 mega pixel resolution that is mounted on the computer monitor's outer border. It takes pictures using Red, Green, and Blue [RGB] to enlarge space from a tight distance. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 22–28 Read article
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Artificial Intelligence Based Twitter Sentiment Estimation
Abstract: Twitter is platform which provide services like micro blogging in which user have to write the thought in less than 140 words. The objective of tweet sentiment analysis is to view as the positive, negative,or impartial, happy, sad, satisfied, and other emotional sentiment part in the twitter information. Sentiment analysis can assist any association with tracking down individuals' assessments of theirorganization and items. Twitter is increasing their services at an …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 6–12 Read article
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Wheat Grain Quality Analysis Using Image Processing
Abstract: Rice and Wheat are two major staple cereals used globally. In India too, both of these crops are cultivated and consumed in large quantities. In this article, we are demonstrating an image processing approach to segregate bad quality wheat seed grains from the good quality. Wheat is not only the source of carbohydrate, but it also contains protein in ample amounts. The protein content in wheat is higher than that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 3, Issue 1, 2017 · pp. 35–42 Read article
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A Public Key Cryptosystem Based on Discrete Logarithm Problem
Abstract: In this paper, we formulate another discrete logarithm problem (ADLP) and designed a new public key cryptosystem (PKC). We also proved, this ADLP involves some old DLPs (ODLP) but the complexity of our proposed DLP is different from the ODLP. Thus, the security is better as compare to the ODLP based PKCs. Mathematics Subject Classification NO.: 94A60.
Published in International Journal of Digital Communication and Analog Signals · Vol. 3, Issue 2, 2017 · pp. 18–20 Read article
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Fuzzy Basis based Network Model
Abstract: ABSTRACT Fuzzy basis is applied to develop a new network model. This network model performs compactly, efficiently and securely. The new protocol is proposed in this paper. This protocol lies with the said advantages. The formulation of the network comprises with the group theory and its generalization based on the fuzzy classification. The fuzzy basis follows the subgroup properties over the divisibility theory. The proposed model achieves the said goals …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 8–12 Read article
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Performance Comparison of Handwritten Digit Recognition Using Machine Learning Techniques
Abstract: Handwritten pattern, character and digit recognition has always been the most demanding and interesting fields of image processing. The objective of this work is representing and demonstrating the algorithms which are used to recognize handwritten digits. Recognition of handwritten digits has always a bit complex, but it is mostly used in various day-to-day applications. In the task of recognition, the digits are not correctly or accurately scripted or written as …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 1, 2021 · pp. 9–18 Read article
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Semantic Segmentation for Object Detection in Videos using Mask RCNN
Abstract: The segmentation of object instances is an essential step in real-time video detection. Object detection is the problem of detecting the information of all types of items in an image by designating their location with a rectangular box. Using its remarkable feature-learning capabilities, deep learning promotes object detection research. Numerous researchers have utilised various machine learning algorithms for object detection and have focused on enhancing the accuracy of feature extraction. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 2, 2022 · pp. 7–15 Read article
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Development of SpendWise Website: A Website to Tracks your Expenses
Abstract: The SpendWise platform has been developed to aid individuals in maintaining an electronic record of their monthly expenditures. The software provides users with the capability to monitor their monthly expenditures and analyze their spending patterns based on several categories. By utilizing this software, individuals could monitor and record their monthly expenditures. The application facilitates adherence to budgetary constraints by offering consumers a comprehensive overview of their expenditures. Diagrams were used …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 2, 2023 · pp. 7–13 Read article
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Direction to Diagnosis by Artificial Neural Network
Abstract: ABSTRACT The diagnosis is presented by the Artificial Neural Network (ANN) in this paper. The method of diagnosis from the data over the ANN is discussed in this paper. The structure of ANN is classified by the coding and probability. Each neuron is set over the data for the diagnosis under the context of minimization of error and maximization of efficiency. Thus, the direction is presented over the mathematical analysis …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
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Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings
Abstract: ABSTRACTThis paper gives a brief information about the design and development of algorithms for the automatic detection of glaucoma using histogram of gradients methods with the classification being done using support vector machines and image processing. Keywords: Glaucoma, HOG, SVM, image processing, Embedded computing.Cite this Article: Fazlulla Khan, Ashok Kusagur. Histogram of Gradient [Hog] Method of Glaucoma Detection in Human Beings. International Journal of Embedded Systems and Emerging Technologies. 2019; …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 1–6 Read article
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Review of Machine Learning Based Methodologies for Detection of Heart Diseases
Abstract: Nowadays, the number of patients having heart disease has significantly increased. This is due to our lifestyles, globalization, industrialization, and a variety of other things. This paper presents the review of various machine learning-based methodologies to diagnose heart disease by analyzing the heart sounds. In a later section of the paper, we discussed various machine learning methodologies and their insight to detect the abnormality in the heart through analysis of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 1–7 Read article
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COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.
Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 Read article
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Study on Polarization Reconfigurable Patch Antennas
Abstract: When we consider a microstrip patch antenna, the main important feature that is been emphasized in recent years is about polarization reconfigurability. These reconfigurable antennas are providing multiple degrees of freedom to the antenna designers because they are able to radiate in one or more polarization states. The detailed study made on polarization antennas are broadly classified into two types: simple feed structure and complex feed structure. Multiple polarizations reconfigurable …
Published in International Journal of Microwave Engineering and Technology · Vol. 1, Issue 2, 2015 · pp. 15–19 Read article