Differentiation of relapsing-remitting and secondary progressive multiple sclerosis: a magnetic resonance spectroscopy study based on machine learning by Ziya EKŞİ, Murat ÇAKIROĞLU, Cemil ÖZ, Ayse ARALAŞMAK, Hasan Hüseyin KARADELİ, Muhammed Emin ÖZCAN

“…Firstly, MRS metabolites were identified using signal processing techniques. Secondly, feature extraction was performed based on MRS Spectra. …”
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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. …”

Hyperlocal marketing: conceptual representation status, technological foundations and directions of development. by E. V. Griva, A. A. Sidorov

“…Within the framework of the defined vector, both the technological prerequisites and requirements of this tool for ensuring the basic process in the field of offline retailing are considered, and an empirical basis for the inductive-deductive analysis of the subject field for the formation of patterns of consumer behaviour management and optimisation of the marketing policy of business agents is formed. …”
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Development of a Hybrid Method to Predict the Slope Surface Deformation Utilizing the Time Series and GA-Elman Models by Gang Wang, Zheng Fang, Jiren Xie, Na Du

“…The results revealed that the proposed method highlighted reliability and could be used with higher accuracy to forecast the slope surface deformation in the process of landslides.…”
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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 control problem of blasting vibration in the process of mining hidden resources under complex environmental conditions has been studied. …”
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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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Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson's disease: A proof of c... by Sunderland Baker, Anand Tekriwal, Gidon Felsen, Elijah Christensen, Lisa Hirt, Steven G Ojemann, Daniel R Kramer, Drew S Kern, John A Thompson

“…A semi-supervised classification model, support vector machine (SVM), trained on the parameters defined by the parabolic fit reliably predicted movement type. …”
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Data-driven discovery of ultrahigh specific hardness alloys by Taeyeop Kim, Wook Ha Ryu, Geun Hee Yoo, Donghyun Park, Ji Young Kim, Eun Soo Park, Dongwoo Lee

“…Combinatorial experimental datasets and an ensemble of six ML algorithms (elastic net, support vector machine, Gaussian process regressor, random forest, artificial neural network, and convolutional neural network) were used to explore a compositional space blended by 28 metallic elements. …”
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Party System Transformation in Central Asian Countries in the Context of Strengthening Political Regimes by Boris P. Guseletov, Nataliya M. Velikaya

“…The common features of their institutionalization and functioning are revealed: the ongoing process of party-building of political institutions, accompanied by changes in the constitutional system, a combination of liberalization and exclusion of the opposition from the political process, and in some cases a ban on the activities of opposition parties. …”
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Peculiarities of using geoinformation systems in training of future geography specialists in higher education institutions by Olena Korol, Olesia Kornus, Anatolii Kornus

“…The possibilities of open programs are also presented; they can be used in the educational process (PhotoFiltre (mapping), XnView (viewing), Picasa (adding geotagging with which you can specify the capture area of any photo, using Google Earth and Google maps), Quantum GIS (can be used as the main platform for teaching students how to implement GIS and how to create the highest quality maps), Google Earth network services (electronic globe), ArcGIS Online (used to manage and share maps and geographic information), Golden SoftWare (Surfer) (universal mapping software that runs on Microsoft Windows and is used to quickly and accurately erase map surfaces and convert the provided data into contour, relief or post maps, three-dimensional surfaces, 3D frames or vector graphics). …”
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Implementation of a Digital Model of Thermal Characteristics Based on the Temperature Field by V. V. Pozevalkin, A. N. Polyakov

“…The implementation of digital twin technology in the process of designing technical facilities is the current direction of scientific research and development. …”
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Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data by Reza Safdari, Marsa Gholamzadeh, Hamidreza Abtahi, Mehrnaz Asadi Gharabaghi

“…Our primary objective was to identify the key factors that influence the allocation of priorities in LTx using machine learning (ML) techniques to enhance the process of prioritising patients.Design Developing a prediction model.Setting and participants Our data were retrieved from the United Network for Organ Sharing (UNOS) open-source database of transplant patients between 2005 and 2023.Interventions After the preprocessing process, a feature engineering technique was employed to select the most relevant features. …”
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Combination of GEOBIA and data-driven approach for grassland habitat mapping in the Alta Murgia National Park by Cristina Tarantino, Marica De Lucia, Luciana Zollo, Mariagiovanna Dell’Aglio, Maria Adamo, Rocco Labadessa

“…These Mediterranean habitats are often characterized by small and fragmented patches, therefore, multi-season very high spatial resolution satellite images and data-driven Geographic Object-Based Image Analysis (GEOBIA) approach were considered to obtain grassland habitats mapping by an automatic classification process. Different classifiers such as Support Vector Machine (SVM) and Random Forest (RF) were evaluated, and their performance was compared by varying different input feature configurations such as the number of seasonal images used. …”
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Improved Alzheimer Disease Diagnosis With a Machine Learning Approach and Neuroimaging: Case Study Development by Lilia Lazli

“…Machine learning (ML) models are popular and well suited for medical image processing tasks such as computer-aided diagnosis. These techniques can improve the process for an accurate diagnosis of AD. …”
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GDNF overexpression in astrocytes enhances branching and partially preserves hippocampal function in an Alzheimer’s rat model by Ana Abril Vidal Escobedo, Facundo Peralta, Gustavo Ramón Morel, Martino Avallone, Tomas Björklund, Paula Cecilia Reggiani, Joaquín Pardo

“…In this study, we developed an adeno-associated viral vector (AAV9) designed to selectively overexpress glial cell line-derived neurotrophic factor (GDNF) in astrocytes, using the astrocyte-specific GFAP promoter and TdTomato for transduction tracking. …”
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Scalar-on-Function Mode Estimation Using Entropy and Ergodic Properties of Functional Time Series Data by Mohammed B. Alamari, Fatimah A. Almulhim, Ibrahim M. Almanjahie, Salim Bouzebda, Ali Laksaci

“…The new proposed estimator is constructed under an ergodicity assumption, which provides a robust alternative to the standard mixing processes in various practical settings. The particular interest of this contribution arises from the difficulty in incorporating the mathematical properties of a functional mixing process. …”
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SHM System for Composite Material Based on Lamb Waves and Using Machine Learning on Hardware by Gracieth Cavalcanti Batista, Carl-Mikael Zetterling, Johnny Öberg, Osamu Saotome

“…To process the complex Lamb wave signals, the system incorporates well-known signal processing (DSP) techniques, including power spectrum density (PSD), wavelet transform, and Principal Component Analysis (PCA), for noise reduction, feature extraction, and data compression. …”
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SCM-DL: Split-Combine-Merge Deep Learning Model Integrated With Feature Selection in Sports for Talent Identification by Didem Abidin, Muhammed G. Erdem

“…In the literature, this process is called Talent Identification (TID) and is defined as “to know the players participating in the sport with the potential to be perfect.…”
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