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Hybrid Cluster based Collaborative Filtering using Firefly and Agglomerative Hierarchical clustering
Recommendation Systems finds the user preferences based on the purchase history of an individual using data mining and machine learning techniques. To reduce the time taken for computation Recommendation systems generally use a pre-processing…
Development of an Android Mobile App f
or Real
Tim e Maize Stem Borers Monitoring i n Precision
Farming
Development of an Android mobile app for real time maize stem borers’ monitoring in precision agriculture is presented. In farmland, cultivated maize requires farmers’ constant care and monitoring during the developing stage to avoid sudden attack of…
Software-Defined Networking in Cloud Computing
Through network programmability, we may simplify network management and bring innovation, cloud computing introduced some of its network concepts. One of the most prominent cloud models for minimizing maintenance obligations and simplifying network…
Technique of Semantic Unambiguity for a Concept Selection of Terms in Focused Contexts with Reinforcement Learning Integration
Nowadays, there have been many developments of learning processes for computers to understand the meaning of words and their semantic similarities in order for the computers to better communicate, interact and exchange information with humans.…
Deep Learning Methods In Predicting Indonesia Composite Stock Price Index (IHSG)
The stock price changes at any time within seconds. The stock price is a time series data. Thus, it is necessary to have the best analysis model in predicting the stock price to make decisions to avoid losses in investing. In this research, the…
A Computer Model of the Spread of the Pandemic
and its Analysis
The paper describes and analyzes a mathematical
model of the variable state of the incidence of epidemic diseases,
which is of great importance for determining the quantity of
vaccines and antiviral drugs to be produced. The information
model…
model of the variable state of the incidence of epidemic diseases,
which is of great importance for determining the quantity of
vaccines and antiviral drugs to be produced. The information
model…
Digital Video Watermarking for
Copyright Labelling
The use of multimedia content in the internet is now growing, especially in digital video. Counterfeit, fraud, and plundering of video content cause problem because of resource supply for sharing contents. Copyright becomes crusial matter in digital…
Object Tracking in Video Using the TLD and CMT Fusion Model
Object tracking has been an attractive study topic in computer vision in recent years, thanks to the development of video monitoring systems. Tracking-Learning Detection (TLD), Compressive Tracking (CT), and Clustering of Static-Adaptive…
A Survey of Deep Learning Solutions for Anomaly Detection in Surveillance Videos
Deep learning has proven to be a landmark computing approach to the computer vision domain. Hence, it has been widely applied to solve complex cognitive tasks like the detection of anomalies in surveillance videos. Anomaly detection in this case is…
Neutrosophic Triangular Fuzzy Travelling
Salesman Problem Based on Dhouib-Matrix-
TSP1 Heuristic
(On Neutrosophic Triangular Fuzzy Travelling Salesman Problem)
In this paper, the Travelling Salesman Problem is
considered in neutrosophic environment which is more realistic
in real-world industries. In fact, the distances between cities in
the Travelling Salesman Problem are presented as…
considered in neutrosophic environment which is more realistic
in real-world industries. In fact, the distances between cities in
the Travelling Salesman Problem are presented as…