In cricket training, preventing injuries and developing skills are of utmost importance, especially concerning the school cricketers. This research presents a web application, 'CricBoost' which would serve to ...
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Traditional, real-life, and in-person training for emergency medical technicians (EMTs) poses many challenges for trainees, which can, in-turn, affect patients, leaving them victim to accidents in live emergency respo...
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Finger knuckle print (FKP), known as a biological feature, has drawn great research attention in the field of biometrics recognition. That being said, the development of finger knuckle print recognition is still limit...
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Bayesian networks are powerful analytical models in machine learning, used to represent probabilistic relationships among variables and create learning structures. These networks are made up of parameters that show co...
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Sentiment analysis is the process of determining the intention or emotion behind an *** subjective information from the context is analyzed by the sentimental analysis of the people’s *** data that is analyzed quanti...
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Sentiment analysis is the process of determining the intention or emotion behind an *** subjective information from the context is analyzed by the sentimental analysis of the people’s *** data that is analyzed quantifies the reactions or sentiments and reveals the information’s contextual *** social behavior,sentiment can be thought of as a latent *** and comprehending this behavior could help us to better understand the social *** sentiments are domain specific,sentimental analysis in a specific context is critical in any real-world *** sentiment analysis is done in sentence,document level and feature *** work introduces a new information Gain based Feature Selection(IGbFS)algorithm for selecting highly correlated features eliminating irrelevant and redundant *** textual sentiment analysis on sentence,document and feature levels are performed by exploiting the proposed information Gain based Feature Selection *** analysis is done based on the datasets from Cornell and Kaggle *** compared to existing baseline classifiers,the suggested information Gain based classifier resulted in an increased accuracy of 96%for document,97.4%for sentence and 98.5%for feature levels ***,the proposed method is tested with IMDB,Yelp 2013 and Yelp 2014 *** results for these high dimensional datasets give increased accuracy of 95%,96%and 98%for the proposed information Gain based classifier for document,sentence and feature levels respectively compared to existing baseline classifiers.
This paper describes the proposed system for the machine translation of Indic language pairs Odia - Hindi and Hindi - Odia for the General Translation and Domain Specific Translation tasks proposed by Forum of Informa...
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In the evolving landscape of Sri Lanka's apparel industry, the predominance of manual methods in the pre-production phase necessitates innovative technological interventions to enhance efficiency. This research ex...
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It is necessary to collect data measured in open lands, whether for example for monitoring purposes or for border protection. The process of data transmission from active nodes and its next level to the cluster head (...
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ISBN:
(纸本)9789819708918
It is necessary to collect data measured in open lands, whether for example for monitoring purposes or for border protection. The process of data transmission from active nodes and its next level to the cluster head (CH), followed by follow-up to arrive at the base station (BS), with safety and acceptability, are the main objectives of wireless sensor networks (WSNs). The key benefits of wireless systems are low-cost system installation and loss-free data transfer. Weather conditions in the spacious area affect wireless data transmission that is done between sensor nodes in free space. This study attempted to ascertain the influence of atmospheric and meteorological conditions on the loss of data when utilizing the wireless data transmission systems in a wireless sensor network. For this reason, the volume of data transfer losses that happen in free space because of three types of weather conditions is the main discussion point. The meteorological criteria that can be considered in this research are temperature, clear weather, dust, and rain as the weather elements that affect the Iraqi climate. The correlation analysis's outcomes show that the amount of precipitation and the size of raindrops have a main effect on the losses of data transmission. From a practical point of view, there is no confirmed statistical evidence of the amount of loss in the volume of transmitted data as a result of the amount of rainfall with the use of different transmission frequencies. In this research, we designed an objective routing protocol called Fuzzy Clustering with Ant Colony System FCACS, which has been utilized as a simulation program using the MATLAB 2018b application. The practical results of the proposed protocol for data transmission in free space and under different weather conditions were examined, and the simulation results were compared with those of two well-known routing protocols, which are DEEC and Z-SEP. In terms of the quantity of data received from the CH or BS a
Deep learning models have been applied in various fields and continue producing exceptional results. However, these models are vulnerable to adversarial attacks, which are modified data samples maliciously crafted to ...
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We propose a deep Q-network (DQN)-based user scheduling scheme aimed at low network-wide age of information (AoI) in a non-orthogonal multiple access (NOMA) uplink status update system. In our system, end users can ha...
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