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The large a v ailable am ou n t of non - structured texts that b e - long to differe n t domains su c h as healthcare (e.g. medical records), justice (e.g. l a ws, declarations), insurance (e.g. declarations), etc. increases the effort required for the analysis of information in a decision making pro - cess. Differe n t pr o jects and t o ols h av e pro p osed strategies to reduce this complexi t y b y classifying, summarizing or annotating the texts. P artic - ularl y , text summary strategies h av e pr ov en to b e v ery useful to pr o vide a compact view of an original text. H ow e v er, the a v ailable strategies to generate these summaries do not fit v ery w ell within the domains that require ta k e i n to consideration the tem p oral dimension of the text (e.g. a rece n t piece of text in a medical record is more im p orta n t than a pre - vious one) and the profile of the p erson who requires the summary (e.g the medical s p ecialization). T o co p e with these limitations this pa p er prese n ts ”GRe A T” a m o del for automatic summary generation that re - lies on natural language pr o cessing and text mining te c hniques to extract the most rele v a n t information from narrati v e texts and disc o v er new in - formation from the detection of related information. GRe A T M o del w as impleme n ted on sof tw are to b e v alidated in a health institution where it has sh o wn to b e v ery useful to displ a y a preview of the information a b ou t medical health records and disc o v er new facts and h y p otheses within the information. Se v eral tests w ere executed su c h as F unctional - i t y , Usabili t y and P erformance regarding to the impleme n ted sof t w are. In addition, precision and recall measures w ere applied on the results ob - tained through the impleme n ted t o ol, as w ell as on the loss of information obtained b y pr o viding a text more shorter than the original
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Due to increase in number of vehicles, Traffic is a major problem faced in urban areas throughout the world. This document presents a newly developed Matlab Simulink model to compute traffic load for real time traffic signal control. Signal processing, video and image processing and Xilinx Blockset have been extensively used for traffic load computation. The approach used is Edge detection operation, wherein, Edges are extracted to identify the number of vehicles. The developed model computes the results with greater degrees of accuracy and is capable of being used to set the green signal duration so as to release the traffic dynamically on traffic junctions. Xilinx System Generator (XSG) provides Simulink Blockset for several hardware operations that could be implemented on various Xilinx Field programmable gate arrays (FPGAs). The method described in this paper involves object feature identification and detection. Xilinx System Generator provides some blocks to transform data provided from the software side of the simulation environment to the hardware side. In our case it is MATLAB Simulink to System Generator blocks. This is an important concept to understand in the design process using Xilinx System Generator. The Xilinx System Generator, embedded in MATLAB Simulink is used to program the model and then test on the FPGA board using the properties of hardware co-simulation tools.
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This project is to retrieve the similar geographic images from the dataset based on the features extracted. Retrieval is the process of collecting the relevant images from the dataset which contains more number of images. Initially the preprocessing step is performed in order to remove noise occurred in input image with the help of Gaussian filter. As the second step, Gray Level Co-occurrence Matrix (GLCM), Scale Invariant Feature Transform (SIFT), and Moment Invariant Feature algorithms are implemented to extract the features from the images. After this process, the relevant geographic images are retrieved from the dataset by using Euclidean distance. In this, the dataset consists of totally 40 images. From that the images which are all related to the input image are retrieved by using Euclidean distance. The approach of SIFT is to perform reliable recognition, it is important that the feature extracted from the training image be detectable even under changes in image scale, noise and illumination. The GLCM calculates how often a pixel with gray level value occurs. While the focus is on image retrieval, our project is effectively used in the applications such as detection and classification.
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Character recognition is a new research field in the domain of pattern recognition which deals with the style of writing. Some of the challengeable problems in character identification are changing in the style of writing, font and turns of words and etc. In this paper, the goal is Persian character identification using independent orthogonal moment as the feature extraction technique.The proposed feature extraction method is the combination of Pseudo-Zernike Moment and Fourier-Mellin Moment called Pseudo-Zernike- Mellin Moment to extract feature vector from Persian characters. The proposed character identification system is evaluated on the HODA dataset and obtained 97.76% acceptance rate.
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Cancer is one of the deadliest diseases in the world and is responsible for around 13% of all deaths worldwide. Cancer incidence rate is growing at an alarming rate in the world. Despite the fact that cancer is preventable and curable in early stages, the vast majority of patients are diagnosed with cancer very late. Furthermore, cancer commonly comes back after years of treatment. Therefore, it is of paramount importance to predict cancer recurrence so that specific treatments can be sought. Nonetheless, conventional methods of predicting cancer recurrence rely solely on histopathology and the results are not very reliable. The microarray gene expression technology is a promising technology that couldpredict cancer recurrence by analyzing the gene expression of sample cells. The microarray technology allows researchers to examine the expression of thousands of genes simultaneously. This paper describes a stateof- the-art machine learning based approach called averaged one-dependence estimators with subsumption resolution to tackle the problem of predicting, from DNA microarray gene expression data, whether a particular cancer will recur within a specific timeframe, which is usually 5 years. To lower the computational complexity, we employ an entropy-based geneselection approach to select relevant prognosticgenes that are directly responsible for recurrence prediction. This proposed system has achieved an average accuracy of 98.9% in predicting cancer recurrence over 3 datasets. The experimental results demonstrate the efficacy of our framework.
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Google Analytics is a great tool, but do you know how to get the data you need to make intelligent digital marketing decisions? In this presentation I delivered at the Triangle American Marketing Association 2013 Funnel Fuel conference in Raleigh, NC, I took a look at some of the newer reports available in Google Analytics and how they can be used to solve common digital marketing problems.
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The number of accidents and health diseases which are increasing at an alarming rate are resulting in a huge increase in the demand for blood. There is a necessity for the organized analysis of the blood donor database or blood banks repositories. Clustering analysis is one of the data mining applications and K-means clustering algorithm is the fundamental algorithm for modern clustering techniques. K-means clustering algorithm is traditional approach and iterative algorithm. At every iteration, it attempts to find the distance from the centroid of each cluster to each and every data point. This paper gives the improvement to the original k-means algorithm by improving the initial centroids with distribution of data. Results and discussions show that improved K-means algorithm produces accurate clusters in less computation time to find the donors information
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Discover why over 2,000 B2B brands partner with Martal Group, the #1 B2B lead generation agency.
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Trust only on the Best white label SEO services for agencies to achieve unmatched success. Boost your internet visibility with our customized options. Come see us today to see how we can increase the awareness of your brand. More information visit us https://www.autusdigital.com/white-label-seo-services/
Choosing the Right White Label SEO Services to Boost Your Agency's Growth.pdf
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The countdown to the end of third-party cookies has begun in Google Chrome, and the impact will be big for those reliant on them for data collection. Are you ready? Check out the experts from CallRail and Workshop Digital as we dive into the impending changes driven by Google Chrome's upcoming phase-out, and how you can navigate the challenges of a post-third-party cookie world. You’ll learn: - What the death of third-party cookies means for your current marketing strategies. - What marketers should be doing to prepare for these changes. - Strategies for success and the importance of utilizing marketing tools with zero- or first-party cookie collection. Watch Ryan Johnson and Andrew Miller as they explore the differences between third- and first-party cookies, analyze the profound implications of this transition for marketers, and introduce innovative solutions and strategies for what you should do next. If you’re reliant on third-party data and want to unlock the secrets to navigating a world without third-party cookies, then this webinar is for you. Stay ahead of the game with the best marketing tools and ensure your tactics are primed for success in this new era of digital marketing.
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In 2024, voice SEO will dominate as users interact hands-free, emphasizing long-tail keywords and natural language. Mobile optimization remains crucial for Google's mobile-first indexing, ensuring seamless experiences. Video SEO gains prominence by captivating audiences and boosting engagement. These are some of the SEO trends you have to be updated with because Google in its constant effort to tackle spam is focusing on quality content. Read more at: https://banyanbrain.com/seo-trends/
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Influential restaurant and food service industry networking is a necessity for business success. In this highly digitized world of devices, apps, and platforms, I prefer to pick up my phone, dial, and TALK to a live person. Phone-to-phone and person-to-person may get you to a face-to-face.
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Labour Day, observed on the first Monday of September in many countries, is a significant occasion that honors the contributions and achievements of workers. Also known as International Workers’ Day in some regions, this annual celebration serves as a tribute to the resilience, dedication, and accomplishments of the labor force. From its historical roots to its modern-day significance, Labour Day holds deep cultural and social importance that resonates worldwide.
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In her talk, Natalia will introduce the absolute essentials of the International SEO Strategy, Process and Execution. Through the 5 essential International SEO tools we will also learn about the international SEO mindset, which is no less important than the toolset itself. From troubleshooting, data analysis, rank tracking and improvement implementation, we will cover the must-haves between the tools, that at the same time, don't break the bank. Without going too far away from Google, we will touch base on tools that are also relevant to Baidu and Yandex SEO tasks. Never done any International SEO before? Perfect! This talk will equip you with actionable steps to go and try the international SEO approach yourself, for the very first time! A seasoned SEO expert who has done International in the past? Make sure your tools and approaches are up to date. As with any SEO area, International SEO is never boring.
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It’s never been easier to get your Google Shopping Ads campaigns up and running…but there’s also never been this much competition. So how can you ensure you’re maximizing ROI on your ad spend? Let us help. Watch this panel discussion tailored for retailers and brands eager to elevate their ecommerce strategy through Google Shopping Ads. You’ll hear the ways to craft compelling product listings using Google Merchant Center Next, strategically bid on keywords, and leverage audience targeting to reach the right customers at the right time. We’ll show you: - How to reduce costs while maximizing ROI using the entire Google Ads ecosystem. - The ways to target new shoppers with keyword bidding while maintaining engagement with your current audience. - How to set up Google Shopping feeds flawlessly with Google Merchant Center Next. In this engaging session, Bryan Butler, Joshua Young, and Ben Riggle will unpack the ways to create powerful product listings and measure your success using best-in-class metrics. If you’re an ecommerce brand or retailer using Google Shopping Ads, you won’t want to miss this discussion.
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This presentation illustrates how consumers use technology and its impact on their lives.
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In the annals of bizarre and unsettling mysteries, the “Circleville Letters” stand out as a chilling and enigmatic series of correspondences that have puzzled investigators and captured the public’s imagination for decades. Spanning several years and intertwined with tragedy, conspiracy, and unanswered questions, the story behind the Circleville Letters continues to intrigue and haunt those who delve into its perplexing details.
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