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Chapter and Conference Paper
Layering Images with Convolution Neural Networks on Cloud Computing
Artificial neural networks combined with deep learning (DL) techniques are becoming a very powerful tool that gives the best performance for many difficult problems such as: the speech recognition, the image r...
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Chapter and Conference Paper
Collaborative Recommendation with Energy Distance Correlation
The recommendation systems are applied to many fields of the social life. In which, the measure of the similarity, and the measure of the distance are the core problems of the recommender systems, there are ma...
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Chapter
Cellular Automata-Based Simulation Model for Water Quality Management of Pangasius Ponds
Water quality is essential in aquaculture, particularly in intensive aquaculture (ponds, lakes). Aquatic animals can grow and thrive when water quality meets the standards and stability, or they will be mental...
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Chapter and Conference Paper
Multiple-Criteria Rating Recommendation with Ordered Weighted Averaging Aggregation Operators
In recent years, the Fourth Industrial Revolution in Industry 4.0 has exploded, along with the increasing development of websites, social networks, and other Internet services, leading to tremendous growth in ...
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Chapter and Conference Paper
A Group Clustering Recommendation Approach Based on Energy Distance
Recommendation system focus on the individual recommendation and using relationships between users and users or between items and items by distance or similarity measures. In reality, there are many situations...
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Chapter
Threshold Text Classification with Kullback–Leibler Divergence Approach
Text classification based on thresholds belongs to the supervised learning method which assigns text material to predefined classes or categories based on different thresholds with divergence approach. These c...
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Chapter and Conference Paper
Blockchain Model in Industrial Pangasius Farming
Today, the problem of counterfeit goods, counterfeit goods, circulating goods, they have no origin, products such as seafood containing banned substances, toxic substances are negatively affecting consumers’ h...
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Chapter and Conference Paper
A Random Forest Approach for Evaluating Forest Cover Changes Outside Dikes with Sentinel Images
The dike surrounding the coast of the Vietnamese Mekong Delta (VMD) helps prevent saltwater intrusion and coastal erosion. In order to preserve these dikes, an area of protective forest is planted outside them...
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Chapter and Conference Paper
Balltree Similarity: A Novel Space Partition Approach for Collaborative Recommender Systems
The recommender systems have been widely applied in numerous applications that support online retailers, video sharing websites, medical systems, etc. Similar measures are essential in providing valuable recom...
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Article
Brown Planthopper Sensor Network Optimization Based on Climate and Geographical Factors using Cellular Automata Technique
Brown Planthopper (BPH) is one of the most dangerous insects that cause damage to rice. Aphids infected rice fields with low productivity can be lost even. Dealing with this situation, the Plant Protection ind...
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Chapter and Conference Paper
A Convolutional Neural Network on X-Ray Images for Pneumonia Diagnosis
The application of AI in general and Deep learning, in particular, is becoming increasingly popular in human life. AI has been able to replace people in many fields, with data already synthesized and stored by...
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Chapter and Conference Paper
Region of Interest Selection on Plant Disease
Plant diseases is one of the most influential factors in agricultural production. It can affect product quality, quantity, or yield of crops. Diagnosis of plant diseases is made mainly based on the experience ...
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Chapter and Conference Paper
Image Segmentation and Transfer Learning Approach for Skin Classification
Skin problems are not only detrimental to physical health but also cause psychological. Especially for patients with damaged or even disfigured faces. In recent years, the incidence of skin diseases has increa...
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Chapter and Conference Paper
Abnormality Bone Detection in X-Ray Images Using Convolutional Neural Network
Medical imaging plays a role as a crucial source of data for disease detection and diagnosis. Recent advancements in machine learning and deep learning have become an efficient tool for medical image analysis....
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Chapter and Conference Paper
Develo** Vietnamese Sentiment Lexicon from Social Reviews Corpus Based on Support Measurement
The sentiment dictionary plays an important role in analyzing or identifying opinion of users. A Sentiment dictionary is widely applicable to many different domains. Therefore, many researchers are interested ...
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Chapter and Conference Paper
Ensemble Learning for Mining Opinions on Food Reviews
This paper proposes an ensemble learning model for opinion mining on food reviews. The proposed model is built on an ensemble of decision trees called Random classification forest. This model performs the task...
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Chapter and Conference Paper
Recommendation with Subjective Tendency Based on Statistical Implicative Analysis
The recommendation systems have been investigating and applying in a vast of fields. The core of systems is the similarity measures and the dissimilarity measures. Many scientists have proposed various similar...
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Article
BPH Sensor Network Optimization Based on Cellular Automata and Honeycomb Structure
The brown planthopper (BPH) is a crucial pest of rice in tropical zones like the Mekong Delta of Vietnam. It economically causes severe loss to the rice harvest via direct nutritional depletion. Many studies a...
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Chapter and Conference Paper
Genome-Wide Association Analysis for Oat Genetics Using Support Vector Machines
An approach, namely genome-wide association study (GWAS), is usually deployed in genetics research to associate specific genetic variations with particular diseases. This method can be scanning the genomes fro...
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Chapter and Conference Paper
Bidirectional Independently Long Short-Term Memory and Conditional Random Field Integrated Model for Aspect Extraction in Sentiment Analysis
Aspect extraction or feature extraction is a crucial and challenging task of opinion mining that aims to identify opinion targets from opinion text. Especially, how to explore these aspects or features from un...
