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1949 articles for “class” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Modified Riemann−Liouville Fractional Derivative and Differential Equation for a Class of New Levy-type Probabilities
Abstract: The aim of the present paper to obtained the solution of differential equations involving Modified Riemann-Liouville fractional derivative in addition to it Levy-type one sided probability density function. Some scientist studied a small number of interesting problems regarding diffusing processes in media with fractal geometry, and formulated fractional diffusion.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 1, Issue 3, 2014 · pp. 42–44 Read article
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Classroom Education using Augmented Reality
Abstract: AbstractThe primary objective is to boost existing education system by introducing the construction of improvement of reality through sensible mobile phones. With this technology, students and teachers each can get benefited. Moreover, teachers will choose their subject topics and present them in 3D Models,and neatly illustrate to their students. Even, students can well understand the topics explained with the assistance of 3D Models. AR permits flexibility in use that is …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 1, 2021 · pp. 31–36 Read article
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An Efficient Deep Learning Classifiers Algorithm for Examining Public Perception of Covid SOPs
Abstract: In December 2019, Wuhan, China, reported the first coronavirus case, confirming the current pandemic. Following that, it swept across the entire world. The leading cause of this disease is still unknown, though. Governments are emphasizing physical distance and wearing masks in public places. The people mostly ignore the safety SOPs, which results in a surge in infected people rates and a healthcare burden on the national economy. Through the identification …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 49–70 Read article
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Stock Price Analysis and Forecasting Using Linear Regression and SVM Classifiers
Abstract: In this study, we attempt to implement a Machine Learning approach to predict stock market prices. Linear Regression is very effectively implemented in forecasting stock prices, returns, and stock modelling. This project is for common users as the prediction is done on all of the companies. We outline the design of the Linear Regression model with its salient features and customizable parameters. We select a certain group of parameters with …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 62–66 Read article
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Classical System Development Approach: Waterfall Model
Abstract: A linear-sequential life cycle model also called as “The Waterfall Model” was first to be introduced as a Process Model. This model is extremely simple to grasp and apply. The waterfall model emphasises a step-by-step progression and its phases do not overlap. It is best suited for projects with specific documentation, fixed requirements, ample resources, a well-defined timeline, and well-understood technology. The Waterfall Model is a sequential model which divides …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 8, Issue 3, 2021 · pp. 8–12 Read article
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Lean Learning Through VSM
Abstract: Prof P Tthareja 12.00 The word “Lean” encompasses more scope than what has been perceived in Industrial Sector. The current paper explores its benefits in the sectors with more complex supply chain than industrial sectors, namely education. Lean thinking allows a simple route for improving efficiencies by, identifying margin of errors, and further by improving teaching effectiveness. In the current paper use of value stream mapping in educational institute is …
Published in Journal of Production Research & Management · Vol. 3, Issue 3, 2013 · pp. 18–29 Read article
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Landuse/Landcover Classification in parts of the Sathyavedu Area, Chittoor District (Andhra Pradesh), India by using Remote sensing and GIS Techniques
Abstract: The aim of the present is to identifying the land use and cover analysis of Sathyavedu area, chittoor district, Andhra Pradesh, India by using Geographical Information System. The present study have been employed with survey of India toposheet No's. 57 O/14, O/15, 66 C/2, and C/3 and Remote sensing LISS-III data. On the basis of field study, topographical maps and satellite data have been determined 15 categories’ in the study …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 3, 2019 · pp. 18–24 Read article
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Geospatial Analysis of Biomass Distribution in Relation to Topography, Disturbance and Biological Richness in Forests of Kumaun Himalaya
Abstract: Biomass in forests of Kumaun Himalaya has been estimated using field sampling and remote sensing technique. Spatial distribution of biomass has been mapped and analyzed with reference to the topography, disturbance and biodiversity regimes. Biomass obtained in Kumaun Himalaya has been categorized in different classes from low to high biomass values. High biomass class (> 400 t ha-1) and moderate biomass class (300-400 t ha-1) showed 72% and 67% area, …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 2, 2021 · pp. 46–57 Read article
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Data Mining Methods for Large Data
Abstract: High dimensional data classification becomes a challenging task because data are large, complex to handle, heterogeneous and hierarchical. In order to reduce the data set without affecting the classifier accuracy, the feature selection plays a vital role in large datasets and which increases the efficiency of classification to choose the important features for high dimensional classification, when those features are irrelevant or correlated. Therefore feature selection is considered to be …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 30s–35s Read article
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A Review Article on Obesity: Classification, Biomarkers, Prevention and Treatment
Abstract: Obesity is a complicated condition characterised by an excess of body fat. According to the World Health Organization (WHO) and the National Institutes of Health, a person is overweight if their BMI is between 25.0 and 29.91 kg / m2, and obese if their BMI is greater than 30.0 kg / m2. Drugs such as psychiatric pharmaceuticals, diabetic therapies, antihypertensives, contraceptives, steroid hormones, antihistamines, and protease inhibitors, are linked to …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 9, Issue 3, 2022 · pp. 11–22 Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 1–7 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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A Descriptive Study to Assess the Attitude Regarding Online Learning Among Parents of Nursing Students, in Selected Nursing Colleges of Kerala and Karnataka
Abstract: In the past, there has been heated discussion about how students should use digital tools for learning among parents, academics, teachers, and policymakers. This study aimed to determine how parents of nursing students felt about online education in a few nursing colleges in Kerala and Karnataka. This study employed a descriptive survey design to gather information. The sample comprised of 111 nursing students' parents, who were selected using purposive sampling …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 1, 2023 · pp. 76–81 Read article
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Vacant Parking Lot Detection
Abstract: AbstractAn issue looked in significant metropolitan regions, is the scan for parking spot. This study proposes a novel path for programmed parking garages’ location. In this methodology, first separate highlights by creating location patches and building Gaussian ground model from info video outlines. At that point, this model is utilized to prepare an eight-class multi-SVM classier. At last, the classification is upgraded internationally by means of Markov Random Field. This …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 11–21 Read article
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Knowledge discovery in software defect datasets using learning algorithms
Abstract: In this paper, the learning impact on various classification models were studied which were built using binary class-imbalanced data. Before the learning process, some preprocessing techniques were applied to training datasets for removing the redundancy. Nowadays feature selection and sampling techniques become an essential tool for many data mining task because learning algorithms do not perform well with defective datasets, dimensionality reduction problem arises. Sampling technique is also used to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 18–26 Read article
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Robust Quadratic Discriminant Rule using Comedian
Abstract: Discriminant analysis aims to get rules that separate the groups of observations. Moreover, it can be used to classify new observations into one of the known groups. The classical discriminant techniques are based on the classical estimates of mean vector and variance covariance matrix. Unfortunately, these classical estimates are highly influenced by the extreme observations and hence any analysis based on these estimates will provide misleading results when the data …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 2, 2019 · pp. 41–47 Read article
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Investigating the Quality of Online Education from University-level Students’ Perspective in Bangladesh
Abstract: Coronavirus disease has disrupted the global education system in the year 2020. An online teaching platform was the only alternative to the face-to-face classroom teaching to continue educational activities. The main purpose of the study was to assess the quality of online education from the perceptive of university-level students in Bangladesh. The research found that the class materials, the interaction between teacher and students, interaction among students, technical support availability …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 4, 2021 Read article
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Design and Development of Agrobot Using Feed Forward Network for Smart Farming Agriculture
Abstract: The Agrobot framework is a form of natural language processing that requires training to understand human language and meet user needs accordingly. The development of a chatbot tailored for the agricultural industry represents a significant advancement in agricultural technology. This chatbot serves as an interactive tool to assist farmers in various aspects of agricultural practices, including crop management, pest control, weather forecasting, and market information. The main objective of this …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 6–14 Read article
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Plant Disease Detection Using Machine Learning
Abstract: Plant diseases significantly threaten global crop yields and affect both nutritional safety and farmer income. Accurate and early detection of plant diseases is essential for effective intervention and treatment. In this study, we used the CNN model (convolutional neural network) to explore a deep learning-based approach for plant disease classification. The model was trained and evaluated on a large dataset encompassing 38 different classes of plant disease, including healthy leaves. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 07–19 Read article
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Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article