Data Mining for Material Feeding Optimization of Printed Circuit Board Template Production by Shengping Lv, Binbin Zheng, Hoyeol Kim, Qiangsheng Yue

“…NCFS and ANN were utilized to select scrap rate related features and construct prediction models for each group of the samples, respectively. …”
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Bioinspired surface structures for added shear stabilization in suction discs by Alyssa M. Hernandez, Jessica A. Sandoval, Michelle C. Yuen, Robert J. Wood

“…The arm was also used to vary the initial compression to test performance under both suction-dominant and friction-dominant preloads. …”
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Partial information transfer from peripheral visual streams to foveal visual streams may be mediated through local primary visual circuits by Andrea I. Costantino, Benjamin O. Pelzer, Mark A. Williams, Matthew J. Crossley

“…Visual object recognition is driven through the what pathway, a hierarchy of visual areas processing features of increasing complexity and abstractness. …”
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Application of Deep Learning Algorithm for Web Shell Detection in Web Application Security System by Rezky Yuranda, Edi Surya Negara

“…The CNN model demonstrates superior performance in detection, emphasizing the effectiveness of deep learning for web shell detection. …”
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Mitigating LLM Hallucinations Using a Multi-Agent Framework by Ahmed M. Darwish, Essam A. Rashed, Ghada Khoriba

“…The rapid advancement of Large Language Models (LLMs) has led to substantial investment in enhancing their capabilities and expanding their feature sets. …”
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Video-Based Facial Emotion Recognition using YOLO and Vision Transformer by Sareen Vidhi, Seeja K.R.

“…The combination of precise face localization by YOLOv8 and powerful feature extraction of ViT contributes to the system’s performance. …”
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Top‐Level Electromagnetic Design of Multishell Resonant Cavity for Microspherical Microwave Structural Absorbers by Tian Li, JiaTong Li, DanDan Zhi, Jinzhe Li, Wenting Deng, RunHua Zhang, Renchi Qin, Qing Qi, Chul B. Park, Li Ma, Fanbin Meng

“…The micro/nanostructures and shell configurations of GAMs are effectively regulated and controlled to establish a predictable structure‐properties relationship via establishing equivalent electromagnetic (EM) models. The computational simulations results of the structure–property relationship are employed as guidance to evaluate the effects of structural features, like hollow structures and multilayered shells. …”
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Transfer Learning Fusion Approaches for Colorectal Cancer Histopathological Image Analysis by Houda Saif ALGhafri, Chia S. Lim

“…A key innovation is the attention-driven fusion strategy at the decision level, where model predictions are weighted by relevance and confidence to improve classification performance. …”
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ISLRWR: A network diffusion algorithm for drug-target interactions prediction. by Lu Sun, Zhixiang Yin, Lin Lu

“…In this study, we used multi-source heterogeneous network information to build a network model, learn the network topology through multiple network diffusion algorithms, and obtain compressed low-dimensional feature vectors for predicting drug-target interactions (DTIs). …”
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Attention LinkNet-152: a novel encoder-decoder based deep learning network for automated spine segmentation by Aqsa Dastgir, Wang Bin, Muhammad Usman Saeed, Jinfang Sheng, Luo Site, Haseeb Hassan

“…Evaluated on the VerSe 2019 and VerSe 2020 datasets, the proposed model achieves superior performance, with a Dice coefficient of 96.85% and a Jaccard index of 95.37%, outperforming state-of-the-art methods. …”
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Apvit: ViT with adaptive patches for scene text recognition by Ning Zhang, Ce Li, Zongshun Wang, Jialin Ma, Zhiqiang Feng

“…Finally, TC prunes non-essential parts of the network based on self-attention mechanisms to accelerate performance. Consequently, our proposed APViT model outperforms state-of-the-art methods across several datasets, demonstrating its effectiveness.…”
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Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal species by Aisha Khan, Saleem Ullah, Rifat Ali, Mahwish Rehman, Said Moshawih, Khang Wen Goh, Long Chiau Ming, Lai Ti Gew

“…The model’s feature importance analysis ranked CO₂ concentration and pH as the most influential factors. …”
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Evaluating Deep Learning Architectures for Breast Tumor Classification and Ultrasound Image Detection Using Transfer Learning by Christopher Kormpos, Fotios Zantalis, Stylianos Katsoulis, Grigorios Koulouras

“…However, the primary focus of this study lies in investigating the performance of a hierarchical two-tier classification architecture compared to a traditional flat three-class classification model, by employing a well-established breast ultrasound images dataset. …”
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Density Logging Curve Reconstruction Method Based on Bayesian-Optimized CNN-LSTM by LI Hongxi, CHEN Mingjiang, ZHANG Xiankun, YANG Bo, ZHAO Bin, LI Xiansheng, WANG Huanhuan

“…Through this integration, the model can fully leverage the strengths of both components when processing logging data under complex geological conditions, thereby enhancing overall performance. …”
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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

“…Meta-heuristic algorithms are utilized for optimizing tree-based methods, as well as for feature and instance selection. Employing meta-heuristic methods as the main innovation in this research not only optimizes machine learning model settings but also mitigates the impact of noise, outliers, and ineffective inputs, thereby enhancing the final output quality. …”
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PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels by Wang Yin, Zhao Jingyong, Xie Gang, Zhao Zhicheng, Hu Xiao

“…Finally, we propose a customized convolutional block equipped with an EMA mechanism to enhance the perceptual and expressive capabilities of the model. Experimental results on the dataset show that our proposed model achieves excellent performance with an average accuracy (mAP) of 94.5%, which is 6.8% higher than YOLOv7. …”
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U-Net Inspired Transformer Architecture for Multivariate Time Series Synthesis by Shyr-Long Jeng

“…This study introduces a Multiscale Dual-Attention U-Net (TS-MSDA U-Net) model for long-term time series synthesis. By integrating multiscale temporal feature extraction and dual-attention mechanisms into the U-Net backbone, the model captures complex temporal dependencies more effectively. …”
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MSA K-BERT: A Method for Medical Text Intent Classification by Yujia Yuan, Guan Xi

“…Second, it adopts a multi-scale attention mechanism to reinforce different feature layers, significantly improving the model’s accuracy and interpretability. …”
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Simultaneous forecasting of vital sign trajectories in the ICU by Rosemary He, Jeffrey N. Chiang

“…While these models have also been applied in healthcare, most state-of-the-art are local models, i.e. one model per feature, which is unrealistic in a clinical setting where multiple measures are taken at once. …”
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Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics. by Rimsha Bibi, Noshaba Qasmi, Sajid Rashid

“…The model's performance could be further enhanced by incorporating additional datasets and optimizing feature selection, potentially broadening its applicability to larger peptide datasets. …”
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