Power electronics for green hydrogen generation with focus on methods, topologies, and comparative analysis by AlAmir Hassan, Omar Abdel-Rahim, Mohit Bajaj, Ievgen Zaitsev

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Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

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Overview of Various Models of Insulators with Thin Coating Layers by Dhahbi-Megriche Nabila, Nouir-Masmoudi Haifa, Kaddeche Slim

“…In this study, the electric potential distribution along an insulator model coated with a thin stress grading material was analyzed using a numerical formulation based on the Spectral Collocation Method (CSM). …”
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Exploring Deep Clustering Methods in Vibro-Acoustic Sensing for Enhancing Biological Tissue Characterization by Robin Urrutia, Diego Espejo, Montserrat Guerra, Karin Vio, Thomas Suhn, Nazila Esmaeili, Axel Boese, Patricio Fuentealba, Alfredo Illanes, Christian Hansen, Victor Poblete

“…Nonlinear dimensionality reduction techniques, often referred to as manifold learning, are increasingly valuable for data visualization and unsupervised clustering. …”
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Disaster Risk Reduction Audits and BIM for Resilient Highway Infrastructure: A Proactive Assessment Framework by Seung-Jun Lee, Hong-Sik Yun, Ji-Sung Kim, Hwan-Dong Byun, Sang-Hoon Lee

“…This study explores the integration of Disaster Risk Reduction Audits (DRRAs) into the lifecycle of highway infrastructure projects as a structured method for enhancing disaster resilience and operational safety. …”
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Temporal-Spatial Redundancy Reduction in Video Sequences: A Motion-Based Entropy-Driven Attention Approach by Ye Yuan, Baolei Wu, Zifan Mo, Weiye Liu, Ji Hong, Zongdao Li, Jian Liu, Na Liu

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Cluster-based route convergence method based on network state graph model by PAN Chengsheng, LU Huangjie, SHI Huaifeng, WANG Yingzhi

“…To address the challenges of time-varying node connectivity and frequent link failures in tactical communication networks under conditions of strong adversarial and high-mobility operations, which result in frequent route convergence and short effective transmission times, a cluster-based route convergence method based on network state graph model (OSPF-CSG) was proposed. …”
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A Method for Modelling Business-Critical Architecture Decisions in Engineer-to-Order Companies by Mikkel Sohrt, Willads Blinkenberg, Niels Henrik Mortensen, Anders Haug, Lars Hvam

“…Although the product architecture literature describes the value of product architectures and suggests concepts and methods for modelling product architectures, existing methods tend to focus on a select few parts of the value chain or a few functional disciplines despite engineer-to-order (ETO) companies being highly cross-functional. …”
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Analyzing measles spread through a Markovian SEIR model by Yousef Alnafisah, M. A. Sohaly

“…We employ the state reduction method to simplify complex computations and develop a Mathematica-based algorithm to efficiently determine steady-state probabilities. …”
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An Optimization Model for Reducing Pumping Costs in Water Distribution Systems by Abbasali Rezapour

“…An empirical case study was conducted to assess the efficacy of the proposed model. The examination of the results indicates that the use of the proposed optimization method leads to a reduction in energy costs by approximately 16 percent and an increase in the efficiency of the water distribution system.…”
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Flight safety event management method as illustrated by a guided reactivity model by B. I. Bachkalo, S. D. Baynetov, S. G. Bolbat

“…As an example of the method implementation, the principle of forming an automated guided reactivity model of the event control contour for the dangerous factor "Violation of the Established Minimum Safe Parameters of the Aircraft Flight" in relation to an arbitrary maneuverable aircraft is considered in the article. …”
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Utilizing Large language models to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation by Xiangming Cai, Yuanming Geng, Yiming Du, Bart Westerman, Duolao Wang, Chiyuan Ma, Juan J. Garcia Vallejo

“…Abstract Background Large language models (LLMs) like ChatGPT showed great potential in aiding medical research. …”
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A speech recognition method with enhanced transformer decoder by Hengbo Hu, Tong Niu, Zhenhua He

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DeepOmicsSurv: a deep learning-based model for survival prediction of oral cancer by Deepali, Neelam Goel, Padmavati Khandnor

“…Methods DeepOmicsSurv builds on the DeepSurv model, incorporating multi-head attention convolutional layers, dropout, pooling, and batch normalization to boost its strength and precision. …”
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Personalized dose reduction strategies for biologic disease-modifying antirheumatic drugs for treating axial spondyloarthritis: a clinical and economic evaluation with predictive m... by Bui Hai Binh, Nguyen Thi Thu Phuong, Vu Thi Thanh Hang, Ngo Thi Thuc Nhan, Nguyen Thi Nhu Hoa, Hoang Van Dung

“…The ICER for achieving ASDAS < 1.3 was favorable (–$6,209.78; 95% CI:–$9,048.35 to–$4,015.78), supporting the cost-effectiveness of dose reduction. A random forest model identified reduced dose strategy, baseline ASDAS, BASDAI, treatment duration, and CRP as key predictors of ASDAS < 1.3, achieving an AUC of 0.845 and F1-score of 0.774. …”
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Noise Abatement Approach Using Computer Simulation Model for Urban Indian Road of a Tier-2 City by Dipeshkumar Ratilal SONAVIYA, Bhaven N TANDEL

“…The excess noise can be efficiently reduced by using the corresponding noise reduction methods.…”
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Developing a model for sustainable financial inclusion through systematic review: a PRISMA approach by Ardhendu Shekhar Singh, Dilip Ambarkhane, Bhama Venkataramani, Nisha Bharti

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State-Space Method-Based Frame Dynamics Analysis of the Six-Rotor Unmanned Aerial Vehicles by Ruijing Liu, Yu Liu, Yi Zhang

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Machine learning model to predicting synergy of ultrasonication and solvation impacts on crude oil viscosity by Nasir Khan, Mehdi Razavifar, Qazi Adnan Ahmad, Muhammad Siyar, Masoud Riazi, Waqar Khan, Jafar Qajar

“…Considering the significance of features, n-Heptane (0.54) and irradiation time (0.45) were the key predictors, with n-heptane showing slightly greater impact on error reduction. The application of this model to additional datasets from other oil fields shows significant promise for future research and practical implementation.…”
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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

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