On Partition Dimension of Generalized Convex Polytopes by Syed Waqas Shah, Muhammad Yasin Khan, Gohar Ali, Irfan Nurhidayat, Soubhagya Kumar Sahoo, Homan Emadifar

“…Let G be a graph having no loop or multiple edges, k−order vertex partition for G is represented by γ=γ1,γ2,…,γk. The vector rϕγ=dϕ,γ1,dϕ,γ2,dϕ,γ3⋯,dϕ,γk is the representation of vertex ϕ with respect to γ. …”
Get full text

High-fidelity EEG feature-engineered taxonomy for bruxism and PLMS prognostication through pioneering and avant-garde ML frameworks by Shivam Tiwari, Deepak Arora, Barkha Bhardwaj

“…Periodic Leg Movement during Sleep (PLMS) and Bruxism are linked with changes in EEG signal characteristics. This work applies machine learning and data mining approaches to examine these changes. …”
Get full text

Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey by Manhui Zhang, Xian Xia, Qiqi Wang, Yue Pan, Guanyi Zhang, Zhigang Wang

Get full text

Federated and ensemble learning framework with optimized feature selection for heart disease detection by Olfa Hrizi, Karim Gasmi, Abdulrahman Alyami, Adel Alkhalil, Ibrahim Alrashdi, Ali Alqazzaz, Lassaad Ben Ammar, Manel Mrabet, Alameen E.M. Abdalrahman, Samia Yahyaoui

“…The ensemble-based approaches proved the most predictive after testing several different machine learning (ML) models, including random forests, the light gradient boosting machine, support vector machines, k-nearest neighbors, convolutional neural networks, and long short-term memory. …”
Get full text

SHERA: SHAP-Enhanced Resource Allocation for VM Scheduling and Efficient Cloud Computing by Ashwin Singh Slathia, Abhiram Sharma, P. B. Krishna, Saksham Anand, Ayush Rathi, Linda Joseph, Xiao-Zhi Gao

“…Three machine learning models—Random Forest, Naïve Bayes, and Support Vector Machine (SVM) were trained and assessed based on Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and an Equivalent Accuracy metric. …”
Get full text

Deep-learning-based extraction of circle of Willis topology with anatomical priors by Dieuwertje Alblas, Iris N. Vos, Micha M. Lipplaa, Christoph Brune, Irene C. van der Schaaf, Mireille R. E. Velthuis, Birgitta K. Velthuis, Hugo J. Kuijf, Ynte M. Ruigrok, Jelmer M. Wolterink

“…Instead, we propose using a complete CoW as an anatomical prior for extracting all possible CoW arteries as shortest paths between automatically identified anatomical landmarks, guided by automatically determined artery orientation vector fields. These fields are obtained using a scale-invariant and rotation-equivariant mesh-CNN-based model (SIRE). …”
Get full text

Synthesis and properties of 3-(ethylthio)-9-methyl-6-(alkylthio)pyrazolo[1,5-d][1,2,4]triazolo[3,4-f][1,2,4]triazines by S. O. Fedotov, A. S. Hotsulia

“…The chemical part of the work involved the step-by-step creation of target reaction products in the form of 3-(ethylthio)-9-methyl-6-(alkylthio)pyrazolo[1,5-d][1,2,4]triazolo[3,4-f][1,2,4]triazines. …”
Get full text

Leveraging BERT, DistilBERT, and TinyBERT for Rumor Detection by Aijazahamed Qazi, R. H. Goudar, Rudragoud Patil, Geetabai S. Hukkeri, Dhanashree Kulkarni

“…The proposed work evaluated BERT, DistilBERT, TinyBERT combined with ML models (SVM, DT, RF, NB) across PHEME dataset using 70:30, 60:40, and 80:20 splits. …”
Get full text

Boosting skin cancer diagnosis accuracy with ensemble approach by Priya Natha, Sivarama Prasad Tera, Ravikumar Chinthaginjala, Safia Obaidur Rab, C. Venkata Narasimhulu, Tae Hoon Kim

“…With the ensemble model, which mix several ML approaches to take use of their advantages and lessen their disadvantages, this work seeks to improve skin cancer predictions. …”
Get full text

Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation by Mayr W, Triantafyllopoulos A, Batliner A, Schuller BW, Berghaus TM

“…We extracted a set of spectral, prosodic, and temporal variability features, which were used as input to a support vector machine (SVM). Our baseline for predicting patient state was an SVM model using self-reported BORG and COPD Assessment Test (CAT) scores.Results: In 50 COPD patients (52% males, 22% GOLD II, 44% GOLD III, 32% GOLD IV, all patients group E), speech analysis was superior in distinguishing during and after exacerbation status compared to BORG and CAT scores alone by achieving 84% accuracy in prediction. …”
Get full text

Experimental Validation of a Modular Skid for Hydrogen Production in a Hybrid Microgrid by Gustavo Teodoro Bustamante, Jamil Haddad, Bruno Pinto Braga Guimaraes, Ronny Francis Ribeiro Junior, Frederico de Oliveira Assuncao, Erik Leandro Bonaldi, Luiz Eduardo Borges-da-Silva, Fabio Monteiro Steiner, Jaime Jose de Oliveira Junior, Claudio Inacio de Almeida Costa

“…These findings highlight the strategic role of hydrogen as an energy vector in the transition to a cleaner energy matrix and support the proposed architecture as a replicable model for industrial facilities seeking to combine hydrogen production with advanced microgrid technologies. …”
Get full text

Design and Linearization of a Doherty Power Amplifier in 45 nm CMOS Technology for 5G Applications by Alexandre Zem de Morais, André Augusto Mariano, Eduardo Gonçalves de Lima, Luis Schuartz, Bernardo Rego Barros de Almeida Leite

“…DPD is applied to comply with error vector magnitude (EVM) standards for a 5G NR modulated signal. …”
Get full text

Machine learning predictive performance in road accident severity: A case study from Thailand by Ittirit Mohamad, Sajjakaj JomnonKwao, Vatanavongs Ratanavaraha

“…This study evaluates the predictive performance of multiple supervised machine learning algorithms in classifying accident severity, addressing the gap in prior research that lacks a comparative analysis of multiple models trained on large-scale crash data. Eight algorithms were assessed, including Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbors (kNN), Neural Network (NN), Naïve Bayes (NB), Logistic Regression (LR), and Gradient Boosting (GB).A dataset comprising 112,837 road accidents over a five-year period in Thailand was analyzed, focusing exclusively on incidents where drivers were at fault. …”
Get full text

Severity Classification of a Seismic Event based on the Magnitude-Distance Ratio Using Only One Seismological Station by Luis Hernán Ochoa Gutiérrez, Luis F Niño, Carlos A. Vargas

“…We trained a Support Vector Machine (SVM) algorithm with seismograph data recorded by INGEOMINAS's National Seismological Network at a three-component station located near Bogota, Colombia. …”
Get full text

Embedded implementation of phase imbalance faults in three-phase inverters: The impact of MOSFET conduction resistance variations by Oussama Idbouhouch, Mourad Zegrari, Nabila Rabbah, Ibtihal Ait Abdelmoula, Hicham Oufettoul, Saad Motahhir

“…This study used MATLAB Simulink as a simulation tool and integrated Model in the loop (MIL), Software in the loop (SIL) and processor in the loop (PIL) testing with Space Vector Pulse Width Modulation (SVPWM) control technique, performed on an STM32 microcontroller. …”
Get full text

Intelligent Photolithography Corrections Using Dimensionality Reductions by Parag Parashar, Chandni Akbar, Tejender S. Rawat, Sparsh Pratik, Rajat Butola, Shih H. Chen, Yung-Sung Chang, Sirapop Nuannimnoi, Albert S. Lin

“…Machine learning has emerged in OPC/EPC problems because conventional optical-solver-based OPC is time-consuming, and there is no physical model existing for EPC. In this work, we use dimensionality reduction (DR) algorithms to reduce the computation time of complex OPC/EPC problems while the prediction accuracy is maintained. …”
Get full text

Complete Mode Spectrum Decomposition of Complex‐Structured Light by Computer‐Generated Holography by Yunfei Ma, Zilong Zhang, Yuqi Wang, Hongzhi Yang, Wei He, Lingyu Kong, Suyi Zhao, Xiaotian Li, Yetong Hu, Changming Zhao

“…Analyzing or probing a complex‐structured light field with a simple model to obtain its mode composition sequence and phase delays among eigenmodes is challenging. …”
Get full text

Data-driven fault detection and positioning of eccentric rolls in roll-to-roll systems using wrap angle and sensor proximity by Yoonjae Lee, Minjae Kim, Jaehyun Noh, Gyoujin Cho, Changwoo Lee

“…Conclusively, the FCM is positioned as a pivotal tool for advancing industrial diagnostic processes, with future work suggested in the areas of adaptive feature extraction techniques and real-time model integration to improve the reliability and adaptability of R2R manufacturing.…”
Get full text

SIRT2 Promotes NLRP3-Mediated Microglia Pyroptosis and Neuroinflammation via FOXO3a Pathway After Subarachnoid Hemorrhage by Sun JQ, Sheng B, Gao S, Liu XZ, Cui Y, Peng Z, Chen XX, Ding PF, Zhuang Z, Wu LY, Hang CH, Li W

“…Jia-Qing Sun,1,5,* Bin Sheng,2,5,* Sen Gao,2,5,* Xun-Zhi Liu,2,5 Yue Cui,4,5 Zheng Peng,2,5 Xiang-Xin Chen,2,5 Peng-Fei Ding,3,5 Zong Zhuang,2,5 Ling-Yun Wu,2,5 Chun-Hua Hang,1– 5 Wei Li2– 5 1Department of Neurosurgery, Nanjing Drum Tower Hospital, Drum Tower Hospital Clinical College, Xuzhou Medical University, Nanjing, People’s Republic of China; 2Department of Neurosurgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China; 3Department of Neurosurgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, People’s Republic of China; 4Department of Neurosurgery, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, People’s Republic of China; 5Neurosurgery Institute of Nanjing University, Nanjing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chun-Hua Hang; Zong Zhuang, Department of Neurosurgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210006, People’s Republic of China, Tel +86 25 83106666-11902 ; +86 25 83106666-11901, Email hang_neurosurgery@163.com; zhuangzong@njglyy.comPurpose: This study primarily elucidating the specific mechanism of SIRT2 on neuroinflammation and microglial pyroptosis in a mouse model of SAH.Patients and Methods: CSF were collected from 57 SAH patients and 11 healthy individuals. …”
Get full text

Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches by Yang Ximin

“…Research by Nikitha explores the impact of increasing the dimensionality of analysis, demonstrating that higher dimensions improve accuracy but also extend training times. Similarly, work conducted by Pradeep shows that larger vector sizes enhance recognition accuracy but at the cost of greater computational resources. …”
Get full text