Brain Tumor Identification and Classification of MRI Images Using Deep Learning Techniques by Zheshu Jia, Deyun Chen

“…In this paper, a Fully Automatic Heterogeneous Segmentation using Support Vector Machine (FAHS-SVM) has been proposed for brain tumor segmentation based on deep learning techniques. …”
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Machine Learning Approaches for Data-Driven Self-Diagnosis and Fault Detection in Spacecraft Systems by Enrico Crotti, Andrea Colagrossi

“…Fault scenarios are defined based on potential failures in these elements, guiding the data-driven feature extraction and labeling process. Supervised learning algorithms, including Support Vector Machines (SVMs) and Artificial Neural Networks (ANNs), are implemented and benchmarked against a simple threshold-based detection method. …”
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Development of Penza art school in 1938–1964: the role of the regional branch of the Union of Painters by E.A. Anshakov, E.P. Barinova

“…The establishment of the state monopoly in the sphere of art has changed the vector and trajectories of the development of the artistic process. …”

Detection of Cumulative Bruising in Prunes Using Vis–NIR Spectroscopy and Machine Learning: A Nonlinear Spectral Response Approach by Lisi Lai, Hui Zhang, Jiahui Gu, Long Wen

“…Spectral data were collected from the equatorial region of each fruit and processed using a hybrid modeling framework comprising continuous wavelet transform (CWT) for spectral enhancement, uninformative variable elimination (UVE) for optimal wavelength selection, and support vector machine (SVM) for classification. …”
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A Three-Dimensional Nonlinear Dynamic Numerical Optimization of the Risks of Stope Blasting Based on FOA-GRNN by Chengyu Xie, Jie Cao, Dongping Shi

“…The dynamic evolution law of the rock mass velocity vector and the damage of the rock damage was revealed. …”
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Determination of Species of Cicadellidae (Hemiptera) Family in Sweet Cherry Growing Areas of Eastern Mediterranean Region by Kamuran Kaya, Hüseyin Başpınar

“…As a result, it could be concluded that studies are needed to determine the potential to be vector of species of Deltocephalinae determined in sweet cherry orchards.…”
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Safety Risk Prediction Model of High-Rise Building Construction Based on Key Physiological Index by Haiyan Chen, Yihua Mao, Rui Wang

“…The BP neural network model and support vector machine (SVM) are, respectively, used to establish the safety risk prediction model of high-rise construction workers based on key indicators, to quantitatively assess the construction risk of the construction workers in the process of high-rise construction. …”
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Two types of cooperation between the photons in multiple scattering lasing and their possible application by Nicolae A. Enaki

“…The first type involves the cooperative process between the photons of one of the steps of Raman conversion. …”
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Hermeneutics and its New Tendencies: to the Question of Aesthetic Paradigm Change by N. F. Shcherbak

“…The work examines the main vector of development of contemporary literary and hermeneutics studies. …”
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Transformation of Space Discourse: from Traditional Society to Postmodern Era by V. A. Shchipkov

“…Further, the author describes the main vector of space discourse development from the 20th century until now shaped by the Postmodernity. …”
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Power Extraction Control of Variable Speed Wind Turbine Systems Based on Direct Drive Synchronous Generator in All Operating Regimes by Youssef Errami, Abdellatif Obbadi, Smail Sahnoun, Mohammed Ouassaid, Mohamed Maaroufi

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A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN by Afuan Lasmedi, Isnanto R. Rizal

“…The results show that CNN and LSTM deliver the best performance with accuracies of 94% and 92%, while Random Forest offers a good balance between accuracy and processing time. SVM and KNN exhibit faster processing times but slightly lower accuracies, at 87% and 84%, respectively. …”
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STRUCTURAL SYNTHESIS OF NAVIGATION SUPPORT OF TRIAD INTEGRATED NAVIGATION SYSTEM ON THE BASIS OF INERTIAL AND SATELLITE TECHNOLOGIES by V. S. Maryukhnenko, V. V. Erokhin

“…A distinctive feature of the algorithm is that the variables of the state vector which are to be measured, are the errors in the determination of appropriate navigation and timing parameters. …”
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Applicability of Artificial Intelligence in Smart Healthcare Systems for Automatic Detection of Parkinson’s Disease by Harikumar Pallathadka, S.J.R.K. Padminivalli V., M. Vasavi, P. Nancy, Mohd Naved, Harish Kumar, Samrat Ray

“…Received photos are preprocessed using the relief feature option to begin the process. This is helpful in the process of selecting characteristics for the identification of Parkinson’s disease. …”
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On Some Convergence Properties of the Modified Ishikawa Scheme for Asymptotic Demicontractive Self-Mappings with Matricial Parameterizing Sequences by M. De la Sen

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A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware by Fandi Kurniawan, Deris Stiawan, Darius Antoni, Mohd Yazid Idris, Rahmat Budiarto

“…The dataset used consists of 2,084 Android applications, including 1,314 malware samples and 770 benign applications, obtained through a reverse engineering process. Data pre-processing, feature extraction, and training using supervised learning are carried out to optimize detection accuracy. …”
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Adaptive Weighted Diversity Ensemble Learning Approach for Fetal Health Classification on Cardiotocography Data by K. Aditya Shastry, Mohan Sellappa Gounder, T. G. Mohan Kumar, D. U. Karthik, V. Sushma, D. Subashree

“…Our proposed Adaptive Weighted Diversity Ensemble Model (AWD) incorporates Random Forest (RF), AdaBoost (AB), Gradient Boost (GB), and Support Vector Classifier (SVC) as base classifiers. The framework includes three modules: Exploratory Data Analysis (EDA), data pre-processing, and an adaptive weighted diversity ensemble module. …”
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Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

“…Future work will focus on optimizing encryption techniques and exploring parallel processing methods to address these challenges.…”
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Automating the search for legal information in Arabic: A novel approach to document retrieval by K. S. Jafar, A. A. Mohammad, A. H. Issa, A. V. Panov

“…The Topic-to-Vector (Top2Vec) topic modeling algorithm for generating document embeddings based on semantic context is used to cluster Arabic legal texts into relevant topics. …”
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Bearing Early Fault Diagnosis Based on an Improved Multiscale Permutation Entropy and SVM by Qunyan Jiang, Juying Dai, Faming Shao, Shengli Song, Fanjie Meng

“…IMPE was applied to feature extraction of early weak fault of rolling bearing and input into Support Vector Machines (SVMs) for faults classification. …”
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