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Implementation of Deep Learning for Classification of MushroomUsing the CNN Algorithm
Mushroomsare a type of low-level plant that lacks chlorophyll. One of the advantages of fungiis that they are commonly utilized as food items in the community. This paper discussedthe implementation of CNN for the classification of…
FaceGAN: Robust Face Recognitionusing Generative Adversarial Networks (GAN) Algorithm
Generative Adversarial Networks (GANs)are a type of neural network that can generate synthetic images that are often indistinguishable from real ones. The article explores GAN to augment existing datasets or generate new onesfor training…
How to Stepping up Characters Recognition using CNN Algorithm?
Character recognition is essentialto the ancient understandingcultureof human sociologies.It consists of differences in textures, backdrops, font size, and coloring that causes challengesindistinguishing the characters in the current …
Production Cost Control using Activity-Based Costing Methods in Information Systems
Companies engaged in furniture manufacturing with marketing targets mostly abroad are faced with very tight price and quality competition that requires a more accurate production costing system thantraditional methods,which are still widely used in…
SIMANTUL: Model ofInternal Quality AuditManagement Systemin Higher Education
Many organizations carry out the qualityassurance system through the Internal Quality Assurance System (SPMI) and the External Quality Assurance System (SPME).The SPMI framework periodically conductsthe stages of a continuous quality assurance …
Implementationof KNNAlgorithm for Occupancy Classification of Rehabilitation Houses
The 2010 eruption of Mount Merapi and the resulting rain lava in Central Java's Kab. Sleman DIY and Magelang Regency damaged homes and infrastructure. According to the Head of BNPB Regulation No. 5, the Community Rehabilitation and Reconstruction …
Effective Stock PredictionModelUsing MACDMethod
Stock market predictions help investors to optimize benefitsin the financial markets. Various papers have proposed different techniques in stock market forecasting, but no model can provide accurate predictions. In this study, we…
Robust Breast cancer Detection using Faster R-CNN Algorithm
One of the most common screening tools for breast cancer detection is ultrasound. However, the lack of qualified radiologists causes the diagnosis process to become a challenging task. Deep learning's promising achievement in various computer vision…
RobustPrediction Model of Covid-19 using Deep Learningalgorithm
Predicting the Covid-19 outbreak in a large dataset is a difficult task and complex problem. Many communities have put up different approaches to forecast COVID-19-positivecases. Conventional methods continue to have problems predicting the real…
DeePNeu: Robust Detection of Pneumonia Symptoms using Faster R-CNN
Every year, more than 150 million people, primarily children under five, develop pneumonia. Various articles present various methods for detecting pneumonia. However, to accurately analyze chest X-ray images, radiologists …