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KNNOR: An oversampling technique for imbalanced datasets
Published 2021“…The proposed method is easy to use and has been made open source as a python library.</p><h2>Other Information</h2> <p> Published in: Applied Soft Computing<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.asoc.2021.108288" target="_blank">https://dx.doi.org/10.1016/j.asoc.2021.108288</a></p>…”
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A Novel Bayesian Outlier Score Based on the Negative Binomial Distribution for Detecting Aberrantly Expressed Genes in RNA-Seq Gene Expression Count Data
Published 2021“…The novel Bayesian model on which our score is based - OutPyRX (Outlier detection in Python for RNA-Seq, eXtended version) - improves the model of its predecessor OutPyR by introducing novel parameters that are derived from OutPyR's. …”
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A study on Speaker Recognition System
Published 2015“…The proposed system was mainly developed using Python (Python.org, 2015). This system was used to implement and study several methods and techniques in speaker recognition domain. …”
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Closed-form Exact and Asymptotic Expressions for the Symbol Error Rate and Channel Capacity of the H-function Fading Channel
Published 2016“…The derived exact expressions are given in terms of the univariate and multivariate Fox H functions for which we provide a portable and efficient Python code. Since the Fox's H-function fading channel represents the most generalized fading model ever presented in the literature, the derived expressions subsume most of those previously presented for all the known simple and composite fading models. …”
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Exploring the potential of onboard energy scavenging subsystems for generating valuable data
Published 2023“…This gathered data is seamlessly synchronized with GPS coordinates and timestamps, meticulously organized within a system architecture, and harnessed through meticulously crafted Python code. The wealth of data that we obtain from an onboard energy scavenging subsystem holds significant potential. …”
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Deep learning supported machine vision system to precisely automate the wild blueberry harvester header
Published 2023“…The OpenCV AI Kit (OAK-D) was used with YOLOv4-tiny deep learning model with code developed in Python to solve the challenge of matching fruit heights with the harvester’s head position. …”
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Dickson polynomial-based secure group authentication scheme for Internet of Things
Published 2024“…Implementation has been carried using python language and deployed and tested on Blockchain using Ethereum Goerli’s Testnet framework. …”
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Fire detection and anti-fire system to enhance food security: A concept of smart agriculture systems-based IoT and embedded systems with machine-to-machine protocol
Published 2025“…It further filters and analyzes the data using the MATLAB application. Python programming language is also used to develop the program source code. …”
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Bilingual AI-Driven Chatbot for Academic Advising
Published 2022“…The conversational agent is built in Python and designed for students to support advising-related queries. …”
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Covid-19 Spread Simulation based on control measures in UAE
Published 2021“…With continuous growth of spread momentum, more strict rules are applied causing unprecedented disruption for society and economy. …”
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Investigation of Forming a Framework to shortlist contractors in the tendering phase
Published 2022“…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. The model to shortlist contractors in the tendering phase was created using machine learning to enable more contractors to submit for a project without having to waste time and money on the tendering process; if they are compatible with the project, then they have a high chance of getting it by being short-listed for the project, which they can then submit their tender package for; this will also ensure that the best company gets the job for the client which will act as a great step towards improving the tendering in construction projects. …”
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Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment
Published 2022“…Spatial analysis is carried out by comparing their coverage performance with existing locations of the fast chargers. More specifically, the location problem is modelled as a maximum coverage location problem (MCLP) and solved using a geographic information system (GIS) based platform. …”
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Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study
Published 2020“…There is also a need for a more proactive and agile public health presence on social media to combat the spread of fake news.…”
