MMPW-Net: Detection of Tiny Objects in Aerial Imagery Using Mixed Minimum Point-Wasserstein Distance by Nan Su, Zilong Zhao, Yiming Yan, Jinpeng Wang, Wanxuan Lu, Hongbo Cui, Yunfei Qu, Shou Feng, Chunhui Zhao

“…Firstly, we introduce a light backbone-heavy neck architecture, named the Global Context Self-Attention and Dense Nested Connection Feature Extraction Network (GC-DN Network), which efficiently extracts and fuses multi-scale features of the target. …”
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Synthetic Image Data Generation for Wiring Harness Component Detection Using Machine Learning by Huong Giang Nguyen, Patrick Bründl, Jörg Franke

“…A focal prerequisite for high-performing machine learning models is a database that is large in quantity as well as quality, and representative for the computer vision task in the manufacturing environment. …”
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NLP-Based Fusion Approach to Robust Image Captioning by Riccardo Ricci, Farid Melgani, Jose Marcato Junior, Wesley Nunes Goncalves

“…However, most of the research focuses on improving the performance of single captioning algorithms, either by introducing novel feature processing units or metatasks that indirectly improve the captioning performance. …”
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Habitat radiomics based on CT images to predict survival and immune status in hepatocellular carcinoma, a multi-cohort validation study by Kun Chen, Chunxiao Sui, Ziyang Wang, Zifan Liu, Lisha Qi, Xiaofeng Li

“…Background and objective: Though several clinicopathological features are identified as prognostic indicators, potentially prognostic radiomic models are expected to preoperatively and noninvasively predict survival for HCC. …”
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An Unsupervised Moving Object Detection Network for UAV Videos by Xuxiang Fan, Gongjian Wen, Zhinan Gao, Junlong Chen, Haojun Jian

“…The direct application of conventional background modeling or motion segmentation methods from general settings may yield suboptimal performance in UAV contexts. …”
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Analisis Kualitas Performa Aplikasi Digital Banking X Menggunakan Framework ISO 25010 by Medina Nurul Zahra, Kraugusteeliana Kraugusteeliana

“…The questionnaire it will be analyzed using Structural Equation Modeling (SEM). The result shows that from seven hypotheses, six hypotheses significantly impact the application's performance efficiency. …”
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Fault current handling in large-scale MMC-HVDC systems: an improved approach with DC circuit breaker and fault current limiter by Rashid Hussain Chandio, Madad Ali Shah, Abdul Aziz Memon, Khawaja Haider Ali, Jahangeer Badar Soomro, Basem Alamri, Ahmed Althobaiti, Mohammed Alqarni

“…Subsequently, it analyzes the FCL performance with its current limiting features and outlines the parameter design requirements necessary for its implementation. …”
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An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment by Yuzhuo Cui, Yingqiu Yang, Yuqing Xia, Yan Li, Zhaoxi Feng, Shiya Liu, Guangqi Yuan, Chunli Lv

“…The experimental results demonstrate that the proposed model achieves a precision of 0.92, a recall of 0.89, an accuracy of 0.91, a mean average precision (mAP) of 0.91, and an F1 score of 0.90, indicating its outstanding performance in complex scenarios. …”
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Robust Ear Recognition via Nonnegative Sparse Representation of Gabor Orientation Information by Baoqing Zhang, Zhichun Mu, Hui Zeng, Shuang Luo

“…Compared with SRC in which the sparse coding coefficients can be negative, the nonnegativity of NSRC conforms to the intuitive notion of combining parts to form a whole and therefore is more consistent with the biological modeling of visual data. Additionally, the use of Gabor orientation features increases the discriminative power of NSRC. …”
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Long-Term Sweat Testing Dataset for Second-Life Batteries by Matthew Beatty, Dani Strickland, Joe Warren, John Chan, Pedro Ferreira

“…The dataset covers six distinct use cases modelled to represent real-world energy storage applications. …”
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Limited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinic... by Daniel J Griffiths-King, Christopher Delivett, Andrew Peet, Jane Waite, Jan Novak

“…Only studies that acquired MRI scans at an earlier timepoint to predict subsequent cognitive test performance were included. Surprisingly, few studies met these criteria, with identified research focusing primarily on MRI measures of cerebellar and white matter damage as features in predicting cognitive outcomes. …”
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Gait-Based Parkinson’s Disease Detection Using Recurrent Neural Networks for Wearable Systems by Carlos Rangel-Cascajosa, Francisco Luna-Perejón, Saturnino Vicente-Diaz, Manuel Domínguez-Morales

“…The ability of Deep Learning algorithms to identify complex features from clinical data has proven to be a promising approach in various medical domains as support tools. …”
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ADAPTIVE VISION AI by V. Vodyanitskyi, V. Yuskovych-Zhukovska

“…Therefore, the algorithm must be trained. The paper considers models that are trained on a high-performance computing cluster with GPU support. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…A comparative analysis of the spectral characteristics of the synthesized windows and classical window functions has been performed. Modeling results show that the synthesized windows can achieve lower side lobe levels while maintaining the same main lobe width, which directly contributes to reduced spectral estimation errors. …”
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MobileDepth: Monocular Depth Estimation Based on Lightweight Vision Transformer by Yundong Li, Xiaokun Wei

“…To address the aforementioned difficulties, in this study, we propose a Dilated Self Attention Block (DSAB) as well as a Local and Global Feature Extraction (LGFE) module. The former resolves the inference speed issue of standard ViT models, and we accomplish this by limiting the number of self-attention computations among tokens. …”
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A multi-dilated convolution network for speech emotion recognition by Samaneh Madanian, Olayinka Adeleye, John Michael Templeton, Talen Chen, Christian Poellabauer, Enshi Zhang, Sandra L. Schneider

“…Then, the SPP layer is deployed to extract both the global-level prominent feature vector and multi-local-level feature vector, followed by an attention model to weigh the feature vectors. …”
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Extraction and Energy Management of Solar Photovoltaic, Fuel Cell, and Battery Systems Using a Novel Multi Port Power Converter for DC Microgrid Applications by Guguloth Nagesh, M. Venkatesh Naik, Dogga Raveendhra, Praveen Kumar Bonthagorla

“…The findings demonstrate the superior performance of the proposed system in terms of higher voltage gain, lower switching losses, and reduced diode stress.…”
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An automated in-field transport and imaging chamber system for high-throughput phenotyping of potted soybean by Xiuni Li, Menggen Chen, Shuyuan He, Mei Xu, Yao Zhao, Weiguo Liu

“…The transportation system includes X and Y dual-directional tracks and programmable rail carts, enabling automated movement of potted soybean plants in the field. Platform performance was validated through correlation analysis and predictive modeling. …”
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A Dual-Branch Network for Intra-Class Diversity Extraction in Panchromatic and Multispectral Classification by Zihan Huang, Pengyu Tian, Hao Zhu, Pute Guo, Xiaotong Li

“…A central innovation of our method lies in introducing a modality-specific intra-class diversity modeling mechanism for the first time in dual-source classification. …”
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Radiomics Analysis of Breast MRI to Predict Oncotype Dx Recurrence Score: Systematic Review by Nathan Kim, Richard Adam, Takouhie Maldjian, Tim Q. Duong

“…Multiparametric MRI-based models integrating multiple sequences have achieved the highest performance. …”
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