A Combinatorial Approximation Algorithm for the Vector Scheduling with Submodular Penalties on Parallel Machines by Bihui Cheng, Wencheng Wang

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Universal Quasi-Level Parameter for the Characterization of Laser Operation by Christian Jirauschek

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A Novel Path Control Algorithm for Networked Underwater Robot by Minghong She, Liyu Tian

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Z Number Based Fuzzy Inference System for Dynamic Plant Control by Rahib H. Abiyev

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The Silent Invaders: Microplastic Accumulation, Impacts, and Monitoring Approaches by Grigorios L. Kyriakopoulos, Antonis A. Zorpas, Vassilis J. Inglezakis, Rocío Rodríguez-Barroso

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New Approach to Clustering Random Attributes by Zenon Gniazdowski

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Tripartite Evolutionary Game Model of Stakeholders in IoT by Kaibin Xie

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Electrostatic Repulsion Between Highly Injecting Metals: An Experimental Investigation by C. T. Dervos

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Advances in whole genome sequencing for foodborne pathogens: implications for clinical infectious disease surveillance and public health by Emílio Gomes, Emílio Gomes, Emílio Gomes, Daniela Araújo, Daniela Araújo, Teresa Nogueira, Teresa Nogueira, Ricardo Oliveira, Ricardo Oliveira, Ricardo Oliveira, Sónia Silva, Sónia Silva, Lorena V. N. Oliveira, Nuno F. Azevedo, Nuno F. Azevedo, Carina Almeida, Carina Almeida, Carina Almeida, Carina Almeida, Joana Castro, Joana Castro

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Fine-Tuning BiomedBERT with LoRA and Pseudo-Labeling for Accurate Drug–Drug Interactions Classification by Ioan-Flaviu Gheorghita, Vlad-Ioan Bocanet, Laszlo Barna Iantovics

“…A checkpointing system saves predictions and confidence scores in small pieces, which means that the process can be continued and is not affected by system crashes. …”
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GCN-Former: A Method for Action Recognition Using Graph Convolutional Networks and Transformer by Xueshen Cui, Jikai Zhang, Yihao He, Zhixing Wang, Wentao Zhao

“…Skeleton-based action recognition, which aims to classify human actions through the coordinates of body joints and their connectivity, is a significant research area in computer vision with broad application potential. Although Graph Convolutional Networks (GCNs) have made significant progress in processing skeleton data represented as graphs, their performance is constrained by local receptive fields and fixed joint connection patterns. …”
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Paraneoplastic limbic encephalitis in a patient with small cell lung cancer. Case report by Nikolai A. Ognerubov, Olga O. Mirsalimova, Mikhail A. Zemur

“…Positron emission tomography combined with computed tomography with 18F-fluorodeoxyglucose was performed. …”
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Mixed Convection and Permeability Effects on Magnetohydrodynamic Williamson Fluid Flow Over an Inclined Stretchy Surface With Radiation Influence: Analytical Investigation by R. A. Oderinu, T. A. Oyeyinka, S. Alao, F. J. Ayanbukola, B. A. Sanusi

“…ABSTRACT The study introduces a computational method that combines Legendre polynomials with Gauss–Lobatto points to solve nonlinear coupled differential equations, focusing on the Williamson fluid model under the influence of mixed convection and permeability with mixed boundary conditions. …”
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L-ENet: An Ultralightweight SAR Image Detection Network by Yutong Wang, Min Miao, Shiliang Zhu

“…Experimental results show that L-ENet has a computational cost of 0.6 M and a parameter count of 2.1 giga floating point operations per second. …”
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A Lightweight Encryption Method for IoT-Based Healthcare Applications: A Review and Future Prospects by Omar Sabri, Bassam Al-Shargabi, Abdelrahman Abuarqoub, Tahani Ali Hakami

“…Traditional encryption methods, while robust, are computationally intensive and unsuitable for IoT environments, leaving sensitive patient information vulnerable to cyber threats. …”
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An improved lightweight tongue segmentation model with self-attention parallel network and progressive upsampling by Xuan Wang, Yifang Cao, Yijia Chen, Huixia Li, Aiqing Han, Yan Tang

“…The model incorporates three key enhancements: (1) the adoption of a Self-Attention Parallel Network that integrates the self-attention mechanism and residual modules to achieve simultaneous extraction of local and global features; (2) the integration of the Efficient Channel Attention(ECA) mechanism into the Mix-FFN component to enhance feature extraction efficiency; and (3) the utilization of Multi-dimensional Feature Progressive Upsampling to mitigate precision loss during the upsampling process. Evaluation results on the BioHit public dataset demonstrate that, compared to the original Segformer, PAPU_TonSeg achieves improvements of 2.42% in Mean Pixel Accuracy (MPA), 0.78% in Mean Intersection over Union (MIoU), and 2.02% in the Dice coefficient, while boasting a lower parameter count and computational complexity. …”
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SSUM: Spatial–Spectral Unified Mamba for Hyperspectral Image Classification by Song Lu, Min Zhang, Yu Huo, Chenhao Wang, Jingwen Wang, Chenyu Gao

“…However, the transformer-based method suffers from high computational complexity, especially in HSIC tasks that require processing large amounts of data. …”
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Research on Lightweight Dynamic Security Protocol for Intelligent In-Vehicle CAN Bus by Yuanhao Wang, Yinan Xu, Zhiquan Liu, Suya Liu, Yujing Wu

“…In hardware tests, using an ECU operating at a frequency of 30 MHz, the computation time for the security algorithm on a single message was 0.85 ms, while at 400 MHz, the computation time was reduced to 0.064 ms. …”
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Benchmarking Variants of Recursive Feature Elimination: Insights from Predictive Tasks in Education and Healthcare by Okan Bulut, Bin Tan, Elisabetta Mazzullo, Ali Syed

“…These findings underscore the trade-offs among accuracy, interpretability, and computational cost across RFE variants, providing practical guidance for selecting the most appropriate algorithm based on domain-specific needs and constraints.…”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

“…By reducing time and cost, machine learning and deep learning can accelerate this laborious discovery process. In a novel approach, BarlowDTI, we utilise the powerful Barlow Twins architecture for feature-extraction while considering the structure of the target protein. …”
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