Khalifa of Pamir, Custodians of Knowledge by Mikhalev Maxim

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Du sol foncier au sol vivant by Atelier Georges, Thibault Barbier, Mathieu Delorme, Charles Rives

“…The soil as a vaguely characterised two-dimensional surface which currently conditions the transformation of territories takes on essential ecological functions thus challenging our system of values and societal aspirations. …”
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Robust H∞ Filtering for a Class of Complex Networks with Stochastic Packet Dropouts and Time Delays by Jie Zhang, Ming Lyu, Hamid Reza Karimi, Pengfei Guo, Yuming Bo

“…Besides, the time delay phenomenon is assumed to occur in a nonlinear vector-valued function. We aim to design a filter such that the estimation error converges to zero exponentially in the mean square, while the disturbance rejection attenuation is constrained to a given level by means of the H∞ performance index. …”
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An Implicit Memory-Based Method for Supervised Pattern Recognition by Yu Ma, Shafei Wang, Junan Yang, Yanfei Bao, Jian Yang

“…The trained ANN can be expressed as a function to design a pattern recognition algorithm. …”
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Robust Adaptive Control for a Class of T-S Fuzzy Nonlinear Systems with Discontinuous Multiple Uncertainties and Abruptly Changing Actuator Faults by Xin Ning, Yao Zhang, Zheng Wang

“…Then, by using the set-valued Lie derivative of the Lyapunov function and introducing a vector of specific continuous functions, the closed-loop T-S fuzzy differential inclusion systems are proved to be ultimately bounded. …”
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A New Classification Model Using a Decision Tree Generated from Hyperplanes in Dimensional Space by Benjamín Luna-Benoso, José Cruz Martínez-Perales, Úrsula Samantha Morales-Rodríguez, Rolando Flores-Carapia, Víctor Manuel Silva-García

“…The proposed model was applied to different problems such as the [Formula: see text] logical function problem, where the proposed model managed to solve the problem, it was also applied to the Iris Dataset where one of the trees generated by the model managed to classify with 100% accuracy the test set, and finally, the proposed model was applied to the Pima Indians Diabetes Database and compared with other models using the accuracy value. …”
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The COVID-19 pandemic: A well-being model for public servants by Ntombifuthi N. Zwane, Rudolf M. Oosthuizen

“…Orientation: The coronavirus disease 2019 (COVID-19) pandemic impacted several facets of society, with public sector employees particularly hard hit. Supporting public servants’ crisis-resilience became imperative. …”
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A machine learning-based approach for constructing a 3D apparent geological model using multi-resistivity data by Jordi Mahardika Puntu, Ping-Yu Chang, Haiyina Hasbia Amania, Ding-Jiun Lin, M. Syahdan Akbar Suryantara, Jui-Pin Tsai, Hwa-Lung Yu, Liang-Cheng Chang, Jun-Ru Zeng, Lingerew Nebere Kassie

“…Four algorithms, namely, random forest (RF), decision tree (DT), support vector machine (SVM), and extreme gradient boosting (XGBoost) were implemented. …”
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TATPat based explainable EEG model for neonatal seizure detection by Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva

“…In this EFE model, there are four essential phases and these phases: (i) automaton and transformer-based feature extraction, (ii) feature selection deploying cumulative weight-based neighborhood component analysis (CWNCA), (iii) the Directed Lobish (DLob) and Causal Connectome Theory (CCT)-based explainable result generation and (iv) classification deploying t algorithm-based support vector machine (tSVM). In the first phase, we have used a channel transformer to get channel numbers and these values have been divided into three levels and these levels are named (1) high, (2) medium and (3) low. …”
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Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

“…ObjectiveParkinson’s disease (PD) is a progressive neurodegenerative disorder that significantly impacts motor function and speech patterns. Early detection of PD through non-invasive methods, such as speech analysis, can improve treatment outcomes and quality of life for patients. …”
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Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs by Weiyi Feng, Yubin Lan, Hongjian Zhao, Zhicheng Tang, Wenyu Peng, Hailong Che, Junke Zhu

“…Furthermore, the research conducted principal component analysis (PCA) and membership function analysis on the predicted values of the optimal models for each indicator, established a comprehensive evaluation index for high photosynthetic efficiency, and employed cluster analysis to screen the test materials. …”
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Identification and validation of HOXC6 as a diagnostic biomarker for Ewing sarcoma: insights from machine learning algorithms and in vitro experiments by Yonghua Pang, Jiahui Liang, Jiahui Liang, Yakai Deng, Weinan Chen, Yunyan Shen, Jing Li, Xin Wang, Zhiyao Ren

“…Additionally, its functional role suggests potential as a therapeutic target.…”
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Implementation of laser-light backscattering imaging for authentication of the geographic origin of Indonesia region citrus by Muhammad Achirul Nanda, S. Rosalinda, Rahmat Budiarto, Inna Novianty, Taufik Ibnu Salim, Pradeka Brilyan Purwandoko, Dimas Firmanda Al Riza

“…In this context, three kernel functions, such as linear, radial basis function, and polynomial, were compared in authenticating the geographic origin of citrus. …”
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Modified Heisenberg Commutation Relations, Free Schrödinger Equations, Tunnel Effect and Its Connections with the Black–Scholes Equation by Mauricio Contreras González, Roberto Ortiz Herrera, José González Suárez

“…For the position deformation case, the corresponding free wave functions are sinusoidal functions with a variable wave vector <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo stretchy="false">(</mo><mi>x</mi><mo stretchy="false">)</mo></mrow></semantics></math></inline-formula>. …”
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Application of the spectral bisection algorithm for the analysis of criminal communities in social networks by K. M. Bondar, V. S. Dunin, P. B. Skripko, N. S. Khokhlov

“…The possibilities of controlling the size of the target fragment of the source graph by means of a function parameter – the value of the weighted median are shown.Conclusions. …”
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Structure of Small and Medium-Sized Business: Results of Total Statistic Observations in Russia by Iuliia S. Pinkovetskaia, Igor V. Balynin

“…Modeling the differentiation of the values of the number of employees per enterprise was based on the development of density normal distribution functions. …”
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Optimisasi Hyperparameter BiLSTM Menggunakan Bayesian Optimization untuk Prediksi Harga Saham by Fandi Presly Simamora, Ronsen Purba, Muhammad Fermi Pasha

“…However, finding optimal hyperparameters can be costly in terms of the model's objective function, as it requires testing all possible combinations of hyperparameter configurations. …”
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Ideology and ethics of transitional entrepreneurs: legitimacy, soft law, and overcoming a distressed economy by Maryam Khosravi, Mojtaba Amiri, Nezameddin Faghih

“…These entrepreneurs can be working on the burgeoning private sector, who want to connect with the outside effectively to overcome an economy in distress. …”
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The Dissolved Oxygen Prediction Method Based on Neural Network by Zhong Xiao, Lingxi Peng, Yi Chen, Haohuai Liu, Jiaqing Wang, Yangang Nie

“…Compared with the common prediction models, curve fitting (CF), autoregression (AR), grey model (GM), and support vector machines (SVM), the experimental results show that the prediction accuracy of the neural network is the highest, and all the predicted values are less than 5% of the error limit, which can meet the needs of practical applications, followed by AR, GM, SVM, and CF. …”
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Atoms as electron accelerators for new physics searches by Fernando Arias-Aragón, Giovanni Grilli di Cortona, Enrico Nardi, Léo Veissière

“…We compute the production rates of new vector bosons and pseudoscalar particles as functions of their couplings and masses. …”
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