Real Time Intrusion Detection System Based on Web Log File Analysis by Rawand Raouf Abdalla, Alaa Khalil Jumaa, Ahmad Freidoon Fadhil

“…The model was constructed using four machine learning algorithms: gradient-boosted trees, decision tree, random forest, and support vector machine. …”
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Implementation of Energy-saving Technologies in House construction by E. I. Krupnov, I. A. Zaytseva, S. A. Loginova, A. V. Simagin

“…To evaluate the efficiency of air source heat pumps, a mathematical model is used that takes into account the multifactorial nature of the process under study. …”
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MACHINE LEARNING AND DEEP LEARNING: A COMPARATIVE ANALYSIS FOR APPLE LEAF DISEASE DETECTION by Anupam Bonkra, Sunil Pathak, Amandeep Kaur

“…Automation of disease diagnosis is therefore crucial, particularly in areas with limited access to specialists. This work employs five classification algorithms Inception V3, Decision Tree, Support Vector Machine (SVM), and Random Forest to create a model for detecting diseases on apple leaves. …”
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Comparison of Machine Learning Methods and Ordinary Kriging for Gravimetric Mapping: Application to Yagoua Area (Northern Cameroon) by Mfenjou Martin Luther, Boroh Andre William, Kasi Njeudjang, Kabe Moukete Eric Bruno, Amaya Adama

“…This work focuses on the comparison of a number of machine learning methods (random forest, support vector machine (SVM), and artificial neural networks (ANN)) and ordinary kriging (OK). …”
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A Study on the Effect of Plastic Strain on Magnetic Phenomenology and Microstructure by Mehrija Hasičić, Spyridon Angelopoulos, Aphrodite Ktena, Evangelos Hristoforou

“…The results are in line with previously obtained results using vector Preisach modeling with the Stoner–Wohlfarth model acting both as a switching and rotation mechanism. …”
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Les activités, temps et lieux de vie des cadres by Laure Guilbert, Alain Lancry

“…They also prove that the incursions between domains of life are reciprocal, and that technologies are only seldomly the vector of those incursions. Finally, bringing out the models of action and the models of life of managers allow to underline the active role of managers in their managing the organisation of their activities of life according to their constraints and their resources, personal, environmental and systemic.…”
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Impact of the Russian Stock Market on Economic Growth by E. A. Fedorova, S. O. Musienko, D. O. Afanas’ev

“…To test these hypotheses, the work employs methods of economic and mathematical modeling and building a vector autoregressive (VAR) model. …”
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Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines Gas Outburst Prediction Using SVM Optimized by Grey Relational Analysis and APSO Algorithm by Xiang Wu, Zhen Yang, Dongdong Wu

“…These obtained results indicate the validity of APSO-SVM model for gas outburst prediction.…”
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Analysis of Malaria Measurements Under Climate Change in Douala, Cameroon: Simulations From the CORDEX‐CORE Ensemble by Andre Lenouo, Torsten Weber, Eric Efon, Amelie D. Mbouna, Sharlot Fosah, Alain T. Tamoffo, Peter Hoffmann, Gaby S. Langendijk

“…In this study, we assessed the efficacy of the vector‐borne disease community model VECTRI developed by the International Center for Theoretical Physics (ICTP) in simulating malaria transmission in Douala, Cameroon. …”
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Intelligent brain tumor detection using hybrid finetuned deep transfer features and ensemble machine learning algorithms by Rakesh Salakapuri, Panduranga Vital Terlapu, Kishore Raju Kalidindi, Ramesh Naidu Balaka, D. Jayaram, T. Ravikumar

“…A tenfold cross-validation method helps check if the model is reliable. Deep transfer (TL) learning and ensemble ML models work well together. …”
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Rapid screening and optimization of CO2 enhanced oil recovery operations in unconventional reservoirs: A case study by Shuqin Wen, Bing Wei, Junyu You, Yujiao He, Qihang Ye, Jun Lu

“…Three different methods, namely random forest (RF), support vector regression (SVR), and artificial neural network (ANN), were used to establish proxy models using the data from a specific unconventional reservoir, and the RF model demonstrated a preferable performance. …”
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Memory Prefetching Evaluation of Scientific Applications on a Modern HPC Arm-Based Processor by Nam Ho, Carlos Falquez, Antoni Portero, Estela Suarez, Dirk Pleiter

“…We evaluated traditional and innovative prefetchers using a gem5-based model of Arm Neoverse V1 cores. The model features a 16-core architecture, using Amazon’s Graviton 3 processor as a hardware reference, but substituting DDR5 by high bandwidth memory (HBM2). …”
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Approximate power flow solutions‐based forecasting‐aided state estimation for power distribution networks by Zhenyu Wang, Zhao Xu, Donglian Qi, Yunfeng Yan, Jianliang Zhang

“…Then, a state transition model incorporating nodal power variation is derived from the approximate power injection model. …”
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Clinical and Epidemiological Features of Actual Tick-Borne Infections under Conditions of Mass Vaccination against Tick-Borne Viral Encephalitis (by the Example of a Megapolis) by V. A. Mishchenko, I. V. Vyalykh, A. G. Sergeev, I. P. Bykov, M. G. Toporkova, V. I. Chalapa

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Feynman integrals: Synergies between particle physics and gravitational waves by Mandal Manoj Kumar

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Estimation of Accuracy in Human Gender Identification and Recall Values Based on Voice Signals Using Different Classifiers by Abhishek Singhal, Devendra Kumar Sharma

“…Recurrent Neural Network–Bidirectional Long Short-Term Memory (RNN-BiLSTM), Support Vector Machine (SVM), and Linear Discriminant Analysis (LDA) are utilized as classifiers in this work. …”
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The Psycholinguistic Portrait of the Traitor in Ukrainian Artistic Military Prose of the Second Half of the XX Century by Роман Дубровський

“…However, there are other models.…”
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Effect of Multifactor Interaction on the Accuracy of RV Reducers by Zihui Wang, Rui Xu, Jiabao Pan, Qingqing Chen, Jing Zhang, Jiugen Wang

“…The rotary vector (RV) reducer is one of the widely used mechanical components in industrial systems, specifically in robots. …”
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Blind Steganalysis using One-Class Classification by Mohammed Karem M., Ahmed Nori

“…Training an OCC turned to be hard work and required long execution time since classifier parameters tuning, data separation and model evaluation needed to be done manually in a brute force way. …”
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Automatic Genre Classification Using Fractional Fourier Transform Based Mel Frequency Cepstral Coefficient and Timbral Features by Daulappa Guranna BHALKE, Betsy RAJESH, Dattatraya Shankar BORMANE

“…This paper presents the Automatic Genre Classification of Indian Tamil Music and Western Music using Timbral and Fractional Fourier Transform (FrFT) based Mel Frequency Cepstral Coefficient (MFCC) features. The classifier model for the proposed system has been built using K-NN (K-Nearest Neighbours) and Support Vector Machine (SVM). …”
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