Transformation of Activities and Space in Malay Kampong as Heritage Kampong in Semarang City by Rina Kurniati, Novia Sari Ristianti, Santy Paulla Dewi, Rosa Calista Prihestiwi

“…Kampung Melayu is one of the kampung kota in the Semarang city that still survives till now. The function of Kampung Melayu is very vital and has enormous value in the colonial era so that it becomes a special attraction in the service trade sector. …”
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Discrete traveling waves in a Toda’s relay chain by A.A. Kutuzova, M.M. Preobrazhenskaia, A.S. Tokmachev

“…The existence of the corresponding periodic solution of the system is ensured by the solvability of the period equation: the value (m+1)Δ must be a multiple of the period of the auxiliary function. …”
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On Conditional Independence Graph Learning From Multi-Attribute Gaussian Dependent Time Series by Jitendra K. Tugnait

“…In multi-attribute graphical models, each node represents a random vector or vector time series. In this paper we provide a unified theoretical analysis of multi-attribute graph learning for dependent time series using a penalized log-likelihood objective function formulated in the frequency domain using the discrete Fourier transform of the time-domain data. …”
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Detection of desert percentage in Al-Hatra Region based on image contents by Saja Mallaaloo, Ghaydaa Al-Talib

“…Content Based Information Retrieval (CBIR) technique was used to retrieve image contents depending on visual objects of it. Support Vector Machine (SVM) technique was put into use by depending on more than one function like polynomial and RBF, then applying every one of them alone with the training image with different blocks size, then using block size and function that give best result from the training phase to be applied on the test images. …”
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Effect of chiral imbalance on the electrical conductivity of hot and dense quark matter using Green–Kubo method within the 2-flavour gauged NJL model by Snigdha Ghosh, Nilanjan Chaudhuri, Sourav Sarkar, Pradip Roy

“…To this end, the in-medium spectral function corresponding to the vector current correlator is evaluated employing the real time formulation of finite temperature field theory. …”
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Strategic optimization of engine performance and emissions with bio-hydrogenated diesel and biodiesel: A RVEA-GRNNs framework by Niti Klinkaew, Attasit Wiangkham, Atthaphon Ariyarit, Prasert Aengchuan, Anupap Pumpuang, Sarunporn Sripratum, Atthaphon Maneedaeng, Jiraphon Srisertpol, Ekarong Sukjit

“…Using a single-cylinder diesel engine from POLAWAT ENGINE Company Limited, we evaluated different bio-hydrogenated diesel and biodiesel blends, optimizing their composition through the Reference Vector Guided Evolutionary Algorithm with a surrogate objective function via Generalized Regression Neural Networks. …”
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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

“…Ultimately, a linear support vector machine algorithm incorporating ten genes was identified for diagnostic application, while a radial basis function support vector machine algorithm, also utilizing ten genes, was selected for prognostic prediction. …”
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Theory of Stimulated Brillouin Scattering in Fibers for Highly Multimode Excitations by Kabish Wisal, Stephen C. Warren-Smith, Chun-Wei Chen, Hui Cao, A. Douglas Stone

“…This allows us to calculate the exponential growth rate of the Stokes power as a function of the distribution of power in a highly multimode signal. …”
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Multivariate Spatial Autoregressive Model with Latent Variables: Application to Economic Growth Modeling by Anik Anekawati, Purhadi, Mohammad Rofik

“…Its mean value was the estimated vector of the exogenous variables. …”
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Simulation Model in the Strategic Decision-Making Process at the Subnational Level Using the AHP Method Based on the Risk Criterion: A Continuation of Previous Research by Davor Žmegač

“…The application of the AHP method in a real decision-making environment at the subnational level of the public sector and drawing attention to the importance of public sector risk management are further highlighted as a value of this research.…”
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OUTSOURCING IN RETAIL by Radojko Lukić

“…The research in contemporary practice of the retail business has revealed that the application of outsourcing technique contributes to stronger commitment of management towards the activities that are the core of competitiveness, reducing costs, improving competitiveness and creating added value. All this has a long-term impact on improving performance in the retail sector. …”
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Approximate solution to a mixed boundary problem for the elastic semi-infinite layer by A.A. Fesenko

“…The integral transforms reduce the problem to a one-dimensional inhomogeneous vector boundary value problem, which is solved by the matrix differential calculus. …”
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How can we predict transportation stock prices using artificial intelligence? Findings from experiments with Long Short-Term Memory based algorithms by Dinar Ajeng Kristiyanti, Willibrordus Bayu Nova Pramudya, Samuel Ady Sanjaya

“…Inflation growth in Indonesia and other countries impacts the currency value and investors' purchasing power, particularly in the transportation sector. …”
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An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…The duration and value of this unchanging optimal vector depend on the type and location of the switch fault, enabling precise fault detection and localization using both phase information and the MPC optimal current vector. …”
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Diagnosing and Ranking Retinopathy Disease Level Using Diabetic Fundus Image Recuperation Approach by K. Somasundaram, P. Alli Rajendran

“…Using support vector model in the second phase, the DFIR method based on Spiral Basis Function effectively ranks the diabetic retinopathy disease level. …”
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Application of KTA-KELM in Fault Diagnosis of Rolling Bearing by Zhuo Wang, Wenjun Zhao, Tao Ma, Zhijun Li, Bo Qin

“…In the process of data-driven rolling bearing state identification model construction，the improper selection of the radial width parameter σ of the Gaussian kernel function in the Kernel Extreme Learning Machine（KELM）algorithm is very easy to cause poor classification accuracy. …”
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ДИНАМІКА НЕСПІВМІРНОЇ НАДСТРУКТУРИ В КРИСТАЛАХ ІЗ СИМЕТРІЄЮ ТЕРМОДИНАМІЧНОГО ПОТЕНЦІАЛУ n=4 by Serhiy Sveleba, Ivan Katerynchuk, Ivan Kuno, Yaroslav Shmygelsky, Serhiy Velgosh, Yu. Bukhnii

“…According to the maps of dynamic modes, under the condition T = 1, it can be assumed that in a given system described by the parameter n = 4 in the incommensurable phase there is a transition from one incommensurable state to another, which may be separated by the region of localization of the wave vector of incommensurability at a commensurate value of a higher order. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…This algorithm utilizes a graph network to represent the interaction information between genes, builds a GNN model, designs a loss function based on link prediction and self-supervised learning ideas for training, and allows each gene node to obtain a feature vector representing global information. …”
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« L’architecture globale », une lecture dynamique des territoires dans la globalisation by Cécile Renard

“…Since the end of the 20th century, architectural production, between sign and function, is a privileged resource for the public as well as private local actors looking for an image to promote their territories. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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