Multi-Modal Feature Set-Based Detection of Freezing of Gait in Parkinson’s Disease Patients Using SVM by Ghulam Murtaza, Mohammed Hammoud, Andrey Somov

“…First, the data were pre-processed and segmented into 3-second windows with 90% overlap. …”
Get full text

Benchmarking the Mapping of Address and Port With Encapsulation Border Relay Routers by Ahmed Al-Hamadani, Gabor Lencse

“…The research work presented in this paper involves conducting comprehensive benchmarking for the MAP-E BR implementation of the FD.io Vector Packet Processing (VPP), a well-known high-performance open-source networking software, and analyzing its performance and scalability, using two different test systems. …”
Get full text

The Level of IgG to Coronavirus Infection among the Medical Institution Employees by M. A. Yunusova, E. S. Lutsenko, N. N. Tsapkova, A. Yu. Brazhnikov, T. S. Saltykova, V. S. Yudina

“…Antibodies were examined by ELISA; immunological method for determining IgG (test system – "Vector Best", semi-quantitative analysis). Statistical processing of the study results was carried out using the SPSS-22 statistical software package and the OpenEpiver statistical calculator. 3.Results and discussion. …”
Get full text

Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation by Sara Asadi, Patricia Jimeno-Sáez, Adrián López-Ballesteros, Javier Senent-Aparicio

“…This study conducts a comprehensive evaluation of the Soil and Water Assessment Tool (SWAT+), support vector regression (SVR), feed forward neural network (FFNN), and long short-term memory (LSTM) models in simulating the rainfall-runoff process at four gauging stations within the THRB. …”
Get full text

Discretization-independent surrogate modeling of physical fields around variable geometries using coordinate-based networks by James Duvall, Karthik Duraisamy

“…DV-MLP achieves generalization through the use of a design-variable embedding vector, while DVH conditions the main network weights on the design variables using a hypernetwork. …”
Get full text

Efficient feature selection based on Gower distance for breast cancer diagnosis by Salwa Shakir Baawi, Mustafa Noaman Kadhim, Dhiah Al-Shammary

“…Experimental results show that the accuracy for the classifiers including k-nearest neighbors (KNN), naive Bayes (NB), decision tree (DT), random forest (RF), support vector machine (SVM), and logistic regression (LR) was increased by 4.38%–7.02%. …”
Get full text

ATTRIBUTION OF MEDIA TEXTS BASED ON A TRAINED NATURAL LANGUAGE MODEL AND LINGUISTIC ASSESSMENT OF IDENTIFICATION QUALITY by Vladimir A. Klyachin, Ekaterina V. Khizhnyakova

Get full text

Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification by Blessy Kiruba, P. S. Athul Narayan, Badhari Raj, S. Rohieth Raj, Sam George Mathew, Sudhakaran Sajitha Lulu, Vino Sundararajan

“…Hence, machine learning (ML), with its ability to process high-dimensional data and identify complex patterns, offers a promising patient outcome. …”
Get full text

Fall Detection in Q-eBall: Enhancing Gameplay Through Sensor-Based Solutions by Zeyad T. Aklah, Hussein T. Hassan, Amean Al-Safi, Khalid Aljabery

“…Offline experiments were conducted to assess the performance of four machine learning models, which were K-Nearest Neighbors (KNNs), Support Vector Machine (SVM), Random Forest (RF), and Long Short-Term Memory (LSTM), for falls detection. …”
Get full text

Using Supervised Machine Learning Algorithms to Predict Bovine Leukemia Virus Seropositivity in Florida Beef Cattle: A 10‐Year Retrospective Study by Ameer A. Megahed, Y. Reddy Bommineni, Michael Short, João H. J. Bittar

“…Methods Logistic regression (LR), decision tree (DT), gradient boosting (GB), random forest (RF), neural network (NN), and support vector machine (SVM) were used. Results Of the submitted samples, 11.6% were positive for BLV. …”
Get full text

Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models by Ahmad Alsaber, Anurag Satpathi, Mariam Alsabah, Parul Setiya

“…The data was detrended, processed into weather indices, and split into 70% for training and 30% for testing. …”
Get full text

Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

“…Investigate the effectiveness and performance of several algorithms, such as the flexible k-nearest neighbor, the sturdy support vector machine (SVM), and the complex convolutional neural networks (CNNs), advanced techniques for automated skin disease detection encompass deep learning methods such as recurrent neural networks (RNNs) for sequential data processing, generative adversarial networks (GANs) for generating synthetic data, and attention mechanisms for focusing on relevant image regions by means of a thorough examination of the most recent studies. …”
Get full text

Automatic Detection of Laparoscopic Videos Distortion Using Machine Learning Classification by Mohamed Belmokeddem, Kamila Khemis, Salim Loudjedi

“…To classify defocus blur, motion blur, and smoke in the laparoscopic video, we adopt a novel approach utilizing a cascade support vector machine (SVM) classifier, which combines decisions from three binary classifiers. …”
Get full text

Research on digital matching methods integrating user intent and patent technology characteristics by Jianwei Yang, Yi Wang, Bonan Zang, Min Peng, George Torrens

“…Third, the BERT model and Principal Component Analysis (PCA) are applied for vector transformation and dimensionality reduction of feature texts, completing the digital characterization. …”
Get full text

Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…Compared with traditional methods—such as deep neural networks, support vector machines, and linear regression—the proposed model effectively integrates static and dynamic agricultural data. …”
Get full text

A Fault Diagnosis Model for Rotating Machinery Using VWC and MSFLA-SVM Based on Vibration Signal Analysis by Lei You, Wenjie Fan, Zongwen Li, Ying Liang, Miao Fang, Jin Wang

Get full text

GNNMutation: a heterogeneous graph-based framework for cancer detection by Nuriye Özlem Özcan Şimşek, Arzucan Özgür, Fikret Gürgen

“…Each patient node is represented by a feature vector derived from the mutations in specific genes. …”
Get full text

Evaluation of transduction efficiency in pancreatic beta and alpha cells utilizing various AAV serotypes by Vishal Ahuja, Sanjeev Jeyabalan, Emmanuel S. Tzanakakis

“…Currently, AAV serotype 8 (AAV8) is the primary AAV vector employed for transducing pancreatic cells for transgene expression. …”
Get full text

Estimating Total Sediment Load Using Water Quality Parameters in the Sufi Chay River, Iran: A Comparative Analysis of Soft Computing and Dimensionless Approaches by Jafar Chabokpour

“…Comparison of performances using three soft computing methods, namely Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Support Vector Regression, are performed. The highest R2 value of 0.91 and RMSE of 53.2 tons/ day were obtained with ANFIS model. …”
Get full text

Modelling of Regional Economy Growth Strategy by I. S. Mezhov, E. V. Kletskova

“…Regional economy as a system of foreign economic activity in the model has a vector representation of the production and technological function of each industry, and development strategies are presented in the form of a special investment matrix. …”
Get full text