This paper deals with the mathematical description of the asymptotic behavior of the solutions of a couple of models for the dynamics of growing networks based on connecting, with a higher probability, nodes that have a neighbor in... more
Rainfall is crucial to agriculture and a farmer's means of subsistence. It has been very helpful to farmers, especially in the agricultural society of the Indian Subcontinent, where it is heavily used for agricultural production, ground... more
A three dimensional quantitative structure activity relationship (3D QSAR) using k nearest neighbor molecular field analysis (kNN MFA) method was performed on a series of arylbenzofuran derivatives as H 3 -receptor antagonists. This study... more
We examine the bound state(s) associated with a single cubic nonlinear impurity, in a one-dimensional tight-binding lattice, where hopping to firstand-second nearest neighbors is allowed. The model is solved in closed form vìa the use of... more
One of the factors for students graduating on time with good grades is that the study program they take is in accordance with their interests and competencies. For this reason, in the process of admitting new students, it is necessary to... more
Nowadays, available audio corpora are rapidly increasing from fast growing Internet and digitized libraries. How to effectively classify and retrieve such a huge database is a challenging task. In this paper, content-based technology has... more
Predicting attacks in Android malware devices using machine learning for recommender systems-based IoT can be a challenging task. However, it is possible to use various machine-learning techniques to achieve this goal. An internet-based... more
Students are an important asset in the world of education also an institution and therefore also need to pay attention to students' graduation rates on time. The ups and downs of the percentage of students' abilities in classroom... more
The "Sembako Program" is a program carried out by the Indonesian government to improve the welfare of low-income communities. The purposes of this study are: (a) to determine the classification of households that deserve to receive... more
Due to the ever-increasing number of digital lecture libraries and lecture video portals, the challenge of retrieving lecture videos has become a very significant and demanding task in recent years. Accordingly, the literature presents... more
Many image processing algorithms rely on nearest neighbor (NN) or on the k nearest neighbor (kNN) search problem. Several meth- ods have been proposed to reduce the computation time, for instance using space partitionning. However, these... more
Statistical measures coming from information theory represent interesting bases for image and video processing tasks such as image retrieval and video object tracking. For example, let us mention the entropy and the Kullback-Leibler... more
Telemarketing is one effective way for promoting products. However, it is often difficult to measure the success of telemarketing. Therefore, a way to predict the success rate of telemarketing, and hence strategies could be planned to... more
The use of Light Detection And Ranging (LiDAR) has enabled the continued improvement in accuracy and performance of autonomous navigation. The latest applications require LiDAR's of the highest spatial resolution, which generate a massive... more
The use of Light Detection And Ranging (LiDAR) has enabled the continued improvement in accuracy and performance of autonomous navigation. The latest applications require LiDAR's of the highest spatial resolution, which generate a massive... more
We used a machine learning method, the nearest neighbor algorithm (NNA), to learn the relationship between miRNAs and their target proteins, generating a predictor which can then judge whether a new miRNA-target pair is true or not. We... more
We present "rst principles calculations of the Heisenberg exchange parameters, J GH in thin Co and Ni "lms on a Cu (0 0 1) substrate. Two methods are compared, relying either on a disordered local moment description of the paramagnetic... more
Kualitas produk merupakan faktor utama untuk menjamin keberlangsungan satu usaha peternakan. Perusahaan telur puyuh yang memiliki ribuan burung Puyuh seperti CV. NS Quail Farm mampu memproduksi ribuan telur dalam sehari karena seekor... more
One variation of Vehicle Routing Problem (VRP) is the Capacitated Vehicle Routing Problem (CVRP). CVRP is a VRP which has an additional vehicle capacity constraint. The purposes of this research are to solve CVRP for distribution routes... more
Studying climatic status and meteorological effects is important to identify climatic and environmental elements and their impacts in various fields of human life as well as other organisms. In this study, solar radiation (SLR) variables... more
This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will... more
Diabetes Mellitus is a chronic and one of the deadliest diseases. Diabetes disease increases the risk of long-term complications, including heart diseases and kidney failures, among others. Undoubtedly, Diabetes Mellitus patients may live... more
Heart disease continues to be a major worldwide health issue, requiring accurate prediction models to improve early identification and treatment. This research aims to address two main objectives in light of the increasing prevalence of... more
Opinion analysis is by a long shot most basic zone of characteristic language handling. It manages the portrayal of information to choose the motivation behind the wellspring of the content. The reason might be of a type of gratefulness... more
Data mining techniques have been widely used to mine knowledgeable information from medical data bases. In data mining classification is a supervised learning that can be used to design models describing important data classes, where... more
Maintaining good health is challenging, and weight is a significant indicator of health. Individuals with underweight, overweight, or obese tend to suffer from major health issues like diabetes, heart disease, high blood pressure, and... more
The occurrence of missing values is not uncommon in real life databases like industrial, medical, and life science. The imputation of these values has been realized through the mean/mode of known values (for a quantitative/qualitative... more
Illinois at Urbana-Champaign -We report the existence of a quantum macroscopically degenerate ground state manifold on the nearest neighbor XXZ model on the kagome lattice at the point J z /J xy = -1/2. On many lattices with triangular... more
The proposed algorithm is based on PNCC feature extraction with a new classifier Weighted-KNN-DTW. • Weighted-KNN-DTW classifier is a modification of Weighted KNN and DTW. • The accuracy of the proposed algorithm was calculated with... more
The k-nearest neighbor learning algorithm is indeed one of the most commonly used supervised algorithms in machine learning. KNN is a lazy learner, and one of the most important similarity features used in this algorithm is the Euclidean... more
In [BG] the proof given for Theorem 4.1 is incorrect. The same proof is reproduced in [B], The following correct argument uses the notation of EBG]. From Corollary 3.13, it follows that supet Vs(i)I < ~ for each i. The rest of the proof... more
In a writer recognition system, the system performs a "one-to-many" search in a large database with handwriting samples of known authors and returns a possible candidate list. This paper proposes method for writer identification... more
A cost model for the performance of the k-nearest neighbor query in multidimensional data space is presented. Two concepts, the regional average volume and the density function, are introduced to predict the performance for uniform and... more
In recent years, spatio-temporal databases have been studied intensively. This paper proposes how to process k closest pair queries in spatio-temporal databases for the first time. A spatio-temporal k closest pair query continuously... more
In this work, outer synchronization of coupled networks with nonidentical topological structures is reported. In particular, outer synchronization in nearest-neighbor and small-world networks with chaotic nodes is achieved by using... more
We consider translationally invariant states of an infinite one dimensional chain of qubits or spin-1 2 particles. We maximize the entanglement shared by nearest neighbours via a variational approach based on finitely correlated states.... more
We consider the problems of classification and intrinsic dimension estimation on image data. A new subspace based classifier is proposed for supervised classification or intrinsic dimension estimation. The distribution of the data in each... more
The college quality can be seen from the level of punctuality of student graduation. The Prediction on students’ graduation timelines can be used as one of the supporting decisions to evaluate students’ performance. Currently, the Medical... more
The heart is the central center in the human circulatory system. A malfunction of the heart that is not functioning is a condition in which the heart cannot carry out its duties properly. Selection of features that can reduce a very large... more
When the competing classes in a classification problem are not of comparable size, many popular classifiers exhibit a bias towards larger classes, and the nearest neighbor classifier is no exception. To take care of this problem, we... more
In high dimension, low sample size (HDLSS) settings, the nearest neighbor classifier based on the Euclidean distance yields poor performance if differences between the locations get masked by the scale differences. To rectify this... more
In high dimension, low sample size (HDLSS) settings, Euclidean distance based classifiers suffer from curse of dimensionality if the competing populations are similar in terms of their location and scale parameters. In this article, we... more
We describe in this paper the theory and practice behind a new modal clustering method for binary data. Our approach (BinNNMS) is based on the nearest neighbor median shift. The median shift is an extension of the well-known mean shift,... more
In this paper, some weaknesses in text classification techniques are analysed and worked on to improve the accuracy of structured data. The main focus here was to classify a book by genre using machine learning algorithms.
Handwritten numeral recognition is a technology for automatic recognition and classification of handwritten numeral input through machine learning model. This is widely used in postal code digital automatic system to sort letters. The... more