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Segmentation of Small Objects in Satellite Imagery Using Dense U-Net in
Massachusetts Buildings Dataset
Class imbalance is a serious problem that disrupts the process of semantic segmentation of satellite imagery in urban areas in
Earth remote sensing. Due to the large objects dominating the segmentation process, small object are consequently…
Earth remote sensing. Due to the large objects dominating the segmentation process, small object are consequently…
Deep Learning Model for Crop Diseases and Pest Classification
The study on deep learning models for crop diseases and pest classification looked at how these models may enhance agricultural practices, specifically for the purpose of more precise pest and crop disease classification. The research brought…
Educational Data Mining Using Cluster Analysis Methods and Decision
Trees based on Log Mining
Higher education institutions store data keep growing every year. The data has important information, but it still not optimized
into knowledge. Data Mining (DM) can be used to process existing data in universities in order to obtain knowledge that…
into knowledge. Data Mining (DM) can be used to process existing data in universities in order to obtain knowledge that…
Content Based VGG16 Image Extraction Recommendation
Data transfer across numerous platforms has increased dramatically due to the enormous number of visitors or users of the
present e-commerce platform. With the rise of increasingly massive data, consumers are finding it challenging to obtain the…
present e-commerce platform. With the rise of increasingly massive data, consumers are finding it challenging to obtain the…
Multi Moving Objects Detection in Video Using Pre-trained Deep Convolutional Neural Networks
Abstract- Nowadays object tracking is a critical concern in the field of machine vision. With the advent of powerful computers, affordable cameras, and growing demand for automatic video analysis, researchers have shown significant interest in object…
Identification of Malaria Parasite Patterns With Gray Level Co-Occurance
Matrix Algorithm (GLCM)
The results of the test using 5 data of malaria parasite test imagery found that image 1 has an average accuracy value of the
energy of 0.55627, homogeneity average of 0.8371, PSNR of 6.1336db, and MSE of 0.24358. Image 2 has an average energy…
energy of 0.55627, homogeneity average of 0.8371, PSNR of 6.1336db, and MSE of 0.24358. Image 2 has an average energy…
Ensemble Feature Selection for Network Intrusion Detection: Combining Information Gain and Random Forest with Recursive Feature Elimination
Network intrusion detection systems (NIDS) are essential for protecting computer networks against cyberattacks. The selection of a nominal set of essential features that may adequately discriminate malicious traffic from the normal traffic is…
Implementation of the Conversational Hybrid Design Model to Improve
Usability in the FAQ
FAQ is an important part of a system because it is used to make it easier for users to solve problems faced by users. Some FAQ
systems have even started using Chatbot technology to make it easier for users. Chatbots have been widely used as a…
systems have even started using Chatbot technology to make it easier for users. Chatbots have been widely used as a…
The Accuracy Comparison Between Word2Vec and FastText On
Sentiment Analysis of Hotel Reviews
Word embedding vectorization is more efficient than Bag-of-Word in word vector size. Word embedding also overcomes the
loss of information related to sentence context, word order, and semantic relationships between words in sentences. Several…
loss of information related to sentence context, word order, and semantic relationships between words in sentences. Several…
Spam Detection in Emails Using Machine Learning Techniques: A Review
Despite the vast amounts of data available within email communication systems, spam remains a persistent issue, posing challenges for both users and organizations. Analyzing this data holds the potential to develop more effective methods for…