Attention-CARU With Texture-Temporal Network for Video Depth Estimation by Sio-Kei Im, Ka-Hou Chan

“…Also, a combination of VGGreNet and Transformer refines the extraction of global and local features to facilitate depth map estimation. …”
Get full text

The Intersection of Childcare and Health Among Women at a U.S. Safety-Net Health System During the COVID-19 Pandemic: A Qualitative Study by Seema Jain, Robin T. Higashi, Carolina Salmeron, Kavita Bhavan

“…By exploring the experiences of women who were referred for childcare services at a U.S. safety-net health system, we aimed to understand the challenges women faced in managing their health and childcare needs during the COVID-19 pandemic. …”
Get full text

Insights into the biology and insecticide susceptibility of the secondary malaria vector Anopheles parensis in an area with long-term use of insecticide-treated nets in northwester... by Salum Abdallah Mapua, Ismail Hassan Nambunga, Joel Ouma Odero, Gustav Mkandawile, John Paliga Masalu, Najat Feruz Kahamba, Emmanuel Elirehema Hape, Nancy Stephen Matowo, Frederic Tripet, Fredros Oketch Okumu

“…Unlike the pyrethroid-resistant An. funestus sensu stricto, An. parensis remains fully susceptible to public health insecticides despite the use of insecticidal bed nets. These findings provide a foundation for future research and may inform control strategies targeting residual malaria transmission involving An. parensis. …”
Get full text

HKA-Net: clinically-adapted deep learning for automated measurement of hip-knee-ankle angle on lower limb radiography for knee osteoarthritis assessment by Young-Tak Kim, Beom-Su Han, Jung Bin Kim, Jason K. Sa, Je Hyeong Hong, Yunsik Son, Jae-Ho Han, Synho Do, Ji Seon Chae, Jung-Kwon Bae

“…Abstract Background Accurate measurement of the hip-knee-ankle (HKA) angle is essential for informed clinical decision-making in the management of knee osteoarthritis (OA). …”
Get full text

Comparative Analysis of Attention Mechanisms in Densely Connected Network for Network Traffic Prediction by Myeongjun Oh, Sung Oh, Jongkyung Im, Myungho Kim, Joung-Sik Kim, Ji-Yeon Park, Na-Rae Yi, Sung-Ho Bae

“…To solve this problem, we propose Attention-DenseNet (ADNet), which effectively incorporates an attention module into STDenseNet to learn representations for long-term spatio-temporal patterns. …”
Get full text

Convective–Stratiform Identification Neural Network (CONSTRAINN) for the WIVERN Mission by Federico Mustich, Alessandro Battaglia, Francesco Manconi, Pavlos Kollias, Antonio Parodi

“…Ablation experiments further reveal that Doppler velocity signals are the most informative for the reconstruction task.…”
Get full text

Unveiling grassland dynamics: trends and drivers of degradation and improvement in the Eurasian Steppe since 2000 by Ziyu Yan, Bin Sun, Zhihai Gao, Pengyao Qin, Ting Gao, Yifu Li

Get full text

Discovering hierarchical process models: an approach based on events partitioning by Antonina K. Begicheva, Irina A. Lomazova, Roman A. Nesterov

“…In this paper, we present an algorithm for discovering hierarchical process models represented as two-level workflow Petri nets. The algorithm is based on predefined event partitioning so that this partitioning defines a sub-process corresponding to a high-level transition at the top level of a two-level net. …”
Get full text

Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization by Venkata Nagaraju Thatha, M. Ganesh Karthik, Venu Gopal Gaddam, D. Pramodh Krishna, S. Venkataramana, Kranthi Kumar Lella, Udayaraju Pamula

Get full text

High precision light field image depth estimation via multi‐region attention enhanced network by Jie Li, Wenxuan Yang, Chuanlun Zhang, Heng Li, Xinjia Li, Lin Wang, Yanling Wang, Xiaoyan Wang

Get full text

FINANCIAL DIAGNOSIS OF THE COMPANY BASED ON THE INFORMATION DERIVED FROM THE BALANCE SHEET. CASE STUDY by Daniela CREȚU, Andrei Radu IOVA, Mariana NĂSTASE

“…Based on these considerations, we elaborated this paper based on the information gathered from a commercial company with an agricultural profile by emphasizing the balance indicators based on the financial balance, namely: the net working capital, the working capital requirement, the net treasury, the net situation of the company. …”
Get full text

Enhancing skin lesion classification: a CNN approach with human baseline comparison by Deep Ajabani, Zaffar Ahmed Shaikh, Amr Yousef, Karar Ali, Marwan A. Albahar

Get full text

A Novel Dual-Channel Hybrid Attention Model for Wind Turbine Misalignment Fault Diagnosis by Tong Tong, Xiang Liu, Jia Zhang, Dian Long, Teng Fan, Xiangyang Zheng

“…Aiming at the problems of inaccurate feature extraction, slow convergence, and low diagnostic accuracy of wind turbine misalignment fault diagnosis under complex working conditions, this paper proposes an innovative diagnostic method based on two channels of U-Net and ResNet50. The model innovatively introduces the multi-head attention mechanism (MHA) in the jump connection of the U-Net architecture to form hybrid U-Net and optimizes the feature fusion process with dynamically learnable weights, which significantly enhances the ability to capture local details and key fault features. …”
Get full text

Skin Lesion Segmentation in Clinical Images Using Nonnegative Matrix Factorization and Mutual Information by Eliezer Soares Flores, Jacob Scharcanski

“…The proposed method tends to improve on the segmentation results provided by established deep learning baselines (FCNet, FCN, PSPNet, SegNet, U-Net) and by recent advancements specifically designed for skin lesion segmentation (DSNet, FrCNet, and LGPNet).…”
Get full text

Validation of LLM-Generated Object Co-Occurrence Information for Understanding Three-Dimensional Scenes by Kenta Gunji, Kazunori Ohno, Shuhei Kurita, Ken Sakurada, Ranulfo Bezerra, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro

“…While GPT-4 tends to output slightly higher co-occurrence coefficients, it effectively captures the overall co-occurrence patterns observed in the ScanNet v2 dataset. GPT-4 produced co-occurrence information for more objects than those available in ScanNet v2 while covering co-occurrences among objects within ScanNet v2. …”
Get full text

DEUFormer: High‐precision semantic segmentation for urban remote sensing images by Xinqi Jia, Xiaoyong Song, Lei Rao, Guangyu Fan, Songlin Cheng, Niansheng Chen

Get full text

Restricted supervised Cascade Information Network for remote sensing change captioning with serial sentences by Kunping Yang, Jianchong Wei, Chengbin Chen, Zhensheng Wang, Junhui Lan, Xuanping Li, Duwei Hua, Dingli Xue, Yi Wu

“…To solve this problem, we propose a Cascade Information Network (CI-Net) with low costs to obtain serial sentences. …”
Get full text

GGLA-NeXtE2NET: A Dual-Branch Ensemble Network With Gated Global-Local Attention for Enhanced Brain Tumor Recognition by Adnan Saeed, Khurram Shehzad, Shahzad Sarwar Bhatti, Saim Ahmed, Ahmad Taher Azar

“…To address these issues, we propose a Dual-Branch Ensemble and Gated Global-Local Attention network based on EfficientNetV2S and ConvNeXt (GGLA-NeXtE2NET) to improve identification accuracy and model interpretability. …”
Get full text

TA-SSM net: tri-directional attention and structured state-space model for enhanced MRI-Based diagnosis of Alzheimer’s disease and mild cognitive impairment by Sichen Bao, Fengbo Zheng, Lifen Jiang, Qiuyuan Wang, Yong Lyu

“…However, existing methods often segment 3D MRI images into 2D slices, leading to spatial information loss and reduced diagnostic accuracy. To overcome this limitation, we propose TA-SSM Net, a deep learning model that leverages tri-directional attention and structured state-space model (SSM) for improved MRI-based diagnosis of AD and MCI. …”
Get full text

Body shape and labor market dynamics: analyzing salary information asymmetry and bargaining power by Chao Ye, Meng-Ying Wang, Li-Chen Chou, Qi Wu

“…Key findings include: (1) Information asymmetry significantly influences price, favoring employers with more information. (2) Normal-range BMI employees tend to receive more salary information and have stronger bargaining power, while severely obese employees receive less information and experience greater net surplus depletion. (3) Height correlates positively with information acquisition and net surplus. (4) Women generally experience lower surplus gains compared to men across BMI levels. (5) Contracted employees, regardless of BMI, tend to have higher average salary information than non-contracted employees.…”
Get full text