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View article: Adaptive Deep Fuzzy Neural Network With Multi‐Headed Self‐Attention for Improving Performance of Social Network Representation Learning and Link Prediction
Adaptive Deep Fuzzy Neural Network With Multi‐Headed Self‐Attention for Improving Performance of Social Network Representation Learning and Link Prediction Open
Link prediction has long been a fundamental task in graph data analysis, aimed at identifying potential or missing connections between nodes. This task is particularly important for understanding social dynamics and improving the robustnes…
View article: N-Centroid Classifier vs. Machine Learning Models for Data Classification
N-Centroid Classifier vs. Machine Learning Models for Data Classification Open
Due to their universal applicability, machine learning models (ML) have been a hot topic during the last two decades. Despite their effectiveness, some ML models exhibit inefficiency, particularly in big data classification. Moreover, some…
View article: Utilizing thermal imaging drones to investigate sleeping site selection in an arboreal primate
Utilizing thermal imaging drones to investigate sleeping site selection in an arboreal primate Open
Sleeping site selection is essential for understanding primate behavioral ecology and survival. Identifying where species sleep helps determine priority areas and critical resources for targeted conservation efforts. However, observing sle…
View article: <i>In vitro</i> and <i>in silico</i> hybrid approach to unveil triterpenoids from <i>Helicteres hirsuta</i> leaves as potential compounds for inhibiting Nrf2
<i>In vitro</i> and <i>in silico</i> hybrid approach to unveil triterpenoids from <i>Helicteres hirsuta</i> leaves as potential compounds for inhibiting Nrf2 Open
3β- O-trans -caffeoylbetulinic acid from Helicteres hirsuta inhibited Nrf2 in Huh7 with IC 50 of 74.5 μg mL −1 . Docking and dynamics simulations showed strong binding affinity of this compound and PI3Kα, an upstream modulator of Nrf2 in c…
View article: Metagenomics disentangles epidemiological and microbial ecological associations between community antibiotic use and antibiotic resistance indicators measured in sewage
Metagenomics disentangles epidemiological and microbial ecological associations between community antibiotic use and antibiotic resistance indicators measured in sewage Open
Wastewater-based surveillance (WBS) is proving to be a valuable source of information regarding pathogens circulating in the community, but complex microbial ecological processes that underlie antibiotic resistance (AR) complicate the pros…
View article: INVESTIGATION OF THE ASSOCIATION BETWEEN ANTINUCLEAR ANTIBODIES, ANTI-DOUBLE STRANDED DNA RESULTS AND PERIPHERAL BLOOD CELL INDICATORS IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS
INVESTIGATION OF THE ASSOCIATION BETWEEN ANTINUCLEAR ANTIBODIES, ANTI-DOUBLE STRANDED DNA RESULTS AND PERIPHERAL BLOOD CELL INDICATORS IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS Open
Objectives: To describe the characteristics of antinuclear antibodies (ANA) and anti-double stranded DNA (anti-dsDNA) results in patients with systemic lupus erythematosus (SLE) and to evaluate the relationship between these results and pe…
View article: Adversarial Variational Autoencoders to Extend and Improve Generative Model
Adversarial Variational Autoencoders to Extend and Improve Generative Model Open
Generative artificial intelligence (GenAI) has been advancing with many notable achievements like ChatGPT and Bard. The deep generative model (DGM) is a branch of GenAI, which is preeminent in generating raster data such as image and sound…
View article: A DOM-structural Cohesion Analysis Approach for Segmentation of Modern Web Pages
A DOM-structural Cohesion Analysis Approach for Segmentation of Modern Web Pages Open
Web page segmentation is a fundamental technique applied in information retrieval systems to enhance web crawling tasks and information extraction. Its purpose is to gain deep insights from crawling results and extract the main content of …
View article: Tutorial on Deep Generative Model
Tutorial on Deep Generative Model Open
Artificial intelligence (AI) is a current trend in computer science, which extends itself its amazing capacities to other technologies such as mechatronics and robotics. Going beyond technological applications, the philosophy behind AI is …
View article: Simple image deconvolution based on reverse image convolution and backpropagation algorithm
Simple image deconvolution based on reverse image convolution and backpropagation algorithm Open
Deconvolution task is not important in convolutional neural network (CNN) because it is not imperative to recover convoluted image when convolutional layer is important to extract features. However, the deconvolution task is useful in some…
View article: Adversarial Variational Autoencoders to Extend and Improve Generative Model
Adversarial Variational Autoencoders to Extend and Improve Generative Model Open
Generative artificial intelligence (GenAI) has been developing with many incredible achievements like ChatGPT and Bard. Deep generative model (DGM) is a branch of GenAI, which is preeminent in generating raster data such as image and sound…
View article: May-Hegglin anomaly associated nephropathy: Case series
May-Hegglin anomaly associated nephropathy: Case series Open
May-Hegglin anomaly (MHA) is a rare autosomal dominant disease associated with a mutation in the MYH-9 gene. It is characterized by macrothrombocytopenia and neutrophils with abnormal cytoplasmic inclusions. Clinical features of this disea…
View article: On the Impact of Jaccard Fusion with Numerical Measures for Collaborative Filtering Enhancement
On the Impact of Jaccard Fusion with Numerical Measures for Collaborative Filtering Enhancement Open
Collaborative filtering (CF) is an important method for recommendation systems, which are employed in many facets of our lives and are particularly prevalent in online-based commercial systems. The K-nearest neighbors (KNN) technique is a …
View article: Simple image deconvolution based on reverse image convolution and backpropagation algorithm
Simple image deconvolution based on reverse image convolution and backpropagation algorithm Open
Deconvolution task is not important in convolutional neural network (CNN) because it is not imperative to recover convoluted image when convolutional layer is important to extract features. However, the deconvolution task is useful in some…
View article: Adversarial Variational Autoencoders to Extend and Improve Generative Model
Adversarial Variational Autoencoders to Extend and Improve Generative Model Open
Generative artificial intelligence (GenAI) has been developing with many incredible achievements like ChatGPT and Bard. Deep generative model (DGM) is a branch of GenAI, which is preeminent in generating raster data such as image and sound…
View article: Boosting the Item-Based Collaborative Filtering Model with Novel Similarity Measures
Boosting the Item-Based Collaborative Filtering Model with Novel Similarity Measures Open
Collaborative filtering (CF), one of the most widely employed methodologies for recommender systems, has drawn undeniable attention due to its effectiveness and simplicity. Nevertheless, a few papers have been published on the CF-based ite…
View article: Tutorial on artificial neural network
Tutorial on artificial neural network Open
It is undoubtful that artificial intelligence (AI) is being the trend of computer science and this trend is still ongoing in the far future even though technologies are being developed suddenly fast because computer science does not reach …
View article: Mixed-Variable Black-Box Optimisation Using Value Proposal Trees
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees Open
Many real-world optimisation problems are defined over both categorical and continuous variables, yet efficient optimisation methods such as Bayesian Optimisation (BO) are ill-equipped to handle such mixed-variable search spaces. The optim…
View article: Tutorial on Bayesian Optimization
Tutorial on Bayesian Optimization Open
Machine learning forks into three main branches such as supervised learning, unsupervised learning, and reinforcement learning where reinforcement learning is much potential to artificial intelligence (AI) applications because it solves re…
View article: Extreme Bound Analysis Based on Correlation Coefficient for Optimal Regression Model
Extreme Bound Analysis Based on Correlation Coefficient for Optimal Regression Model Open
Regression analysis is an important tool in statistical analysis, in which there is a demand of discovering essential independent variables among many other ones, especially in case that there is a huge number of random variables. Extreme …
View article: UAV positioning algorithm based on ground reference
UAV positioning algorithm based on ground reference Open
In this article, the algorithm of UAV positioning based on ground check points is considered. Differ from the most publications, in which UAV coordinates are determined by GPS or/and IMU, the proposed algorithm used results of image proces…
View article: Extreme bound analysis based on correlation coefficient for optimal regression model
Extreme bound analysis based on correlation coefficient for optimal regression model Open
Regression analysis is an important tool in statistical analysis, in which there is a demand of discovering essential independent variables among many other ones, especially in case that there is a huge number of random variables. Extreme …
View article: Tutorial on particle swarm optimization and its combinations to other evolutionary algorithms
Tutorial on particle swarm optimization and its combinations to other evolutionary algorithms Open
Local optimization with convex function is solved perfectly by traditional mathematical methods such as Newton-Raphson and gradient descent but it is not easy to solve the global optimization with arbitrary function although there are some…
View article: The Carleman-Newton method to globally reconstruct a source term for nonlinear parabolic equation
The Carleman-Newton method to globally reconstruct a source term for nonlinear parabolic equation Open
We propose to combine the Carleman estimate and the Newton method to solve an inverse source problem for nonlinear parabolic equations from lateral boundary data. The stability of this inverse source problem is conditionally logarithmic. H…
View article: Triangular Learner Model
Triangular Learner Model Open
User model is description of users’ information and characteristics in abstract level. User model is very important to adaptive software which aims to support user as much as possible. The process to construct user model is called user mod…
View article: A Short Study on Minima Distribution
A Short Study on Minima Distribution Open
Global optimization is an imperative development of local optimization because there are many problems in artificial intelligence and machine learning requires highly acute solutions over entire domain. There are many methods to resolve th…
View article: The Carleman-based contraction principle to reconstruct the potential of nonlinear hyperbolic equations
The Carleman-based contraction principle to reconstruct the potential of nonlinear hyperbolic equations Open
We develop an efficient and convergent numerical method for solving the inverse problem of determining the potential of nonlinear hyperbolic equations from lateral Cauchy data. In our numerical method we construct a sequence of linear Cauc…