Exploring Sustainable Approaches to Improving Student Intelligence Through Basketball-Specific Means in Higher Education by Cristiana Maria Porfireanu, Nicoleta Leonte, Ofelia Popescu, Alina Daniela Moanta, Mihaita Alin Saftel

Get full text

The A3C Algorithm With Eligibility Traces of Energy Management for Plug-In Hybrid Electric Vehicles by Dingyi Guo, Guangyin Lei, Huichao Zhao, Fang Yang, Qiang Zhang

“…The core of the paper focuses on the application of the Asynchronous Advantage Actor-Critic (A3C) algorithm to address this problem. To enhance the learning process, eligibility traces are introduced to refine the advantage function by weighting historical actions. …”
Get full text

How Do Stress Situations Affect Higher-Level Text Processing in L1 and L2 Readers? An Eye-Tracking Study by Ziqing Xia, Chun-Hsien Chen, Jo-Yu Kuo, Mingmin Zhang

Get full text

A lightweight semantic segmentation method for concrete bridge surface diseases based on improved DeeplabV3+ by Zhiyuan Yu, Chunquan Dai, Xiaoming Zeng, Yunlong Lv, Haisheng Li

Get full text

LTAU-FF: Loss Trajectory Analysis for Uncertainty in atomistic Force Fields by Joshua A Vita, Amit Samanta, Fei Zhou, Vincenzo Lordi

“…Model ensembles are effective tools for estimating prediction uncertainty in deep learning atomistic force fields. However, their widespread adoption is hindered by high computational costs and overconfident error estimates. …”
Get full text

Nearest-neighbors neural network architecture for efficient sampling of statistical physics models by Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi

“…In particular, it captures properties such as the energy, the correlation function and the overlap probability distribution. …”
Get full text

Cuproptosis-related signature and immune infiltration in age-related macular degeneration by Chen Li, Yi-Cheng Lu, Ming-Xuan Chen

“…RESULTS: Six genes, including ATP7A, DBT, VEGFA, UBE2D3, CP, SLC31A1, were screened as cuproptosis-signature in AMD via three machine learning methods. Next, SLC31A1 and VEGFA was selected as hub genes by performance evaluation in an external dataset GSE160011, further analysis showed that SLC31A1 and VEGFA were associated with pathways related to immune signaling and immune function, which were then observed in relation to infiltrating immune cells. …”
Get full text

Wahrnehmungen der Auswirkungen der Corona-Pandemie auf das Lernen und den Bildungsgang durch die Kollegiat*innen des Oberstufen-Kollegs by Lynn Keyser, Michaele Geweke

“…The guiding research question is how the pandemic has affected their learning and teaching from the students' perspective. …”
Get full text

Downhole Coal–Rock Recognition Based on Joint Migration and Enhanced Multidimensional Full-Scale Visual Features by Bin Jiao, Chuanmeng Sun, Sichao Qin, Wenbo Wang, Yu Wang, Zhibo Wu, Yong Li, Dawei Shen

Get full text

A Review on the Few-Shot SAR Target Recognition by Junjun Yin, Changxian Duan, Hongbo Wang, Jian Yang

“…Recently, the utilization of deep learning for SAR image recognition has become a crucial discipline in radar image interpretation since the deepened networks can generate the high-dimensional features and make the function fit accurately when with a large amount of training samples. …”
Get full text

A Lightweight Citrus Object Detection Method in Complex Environments by Qiurong Lv, Fuchun Sun, Yuechao Bian, Haorong Wu, Xiaoxiao Li, Xin Li, Jie Zhou

Get full text

A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation by Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding, Iroro Orife, Aaron J. Hipple, Phillip A. Williams, Scott Kramer, Alexander Lerch, William Wolcott

Get full text

Classification of Chicken Carcass Breast Blood-Related Defects Using Hyperspectral Imaging Combined with Convolutional Neural Networks by Liukui Duan, Juanfang Bao, Hao Yang, Liuqian Gao, Xu Zhang, Shengjie Li, Huihui Wang

Get full text

RMixDA: A Random Compound Data Augmentation Operation Framework for Neural Machine Translation by Huijun Wang, Xiaojing Du, Xinkun Hao

“…We further incorporate contrastive learning, identifying augmented data as positive or negative samples to evaluate similarity more effectively. …”
Get full text

High-Throughput 3D Rice Chalkiness Detection Based on Micro-CT and VSE-UNet by Zhiqi Cai, Yangjun Deng, Xinghui Zhu, Bo Li, Chenglin Xu, Donghui Li

“…For the accurate segmentation of kernels and chalky regions, we propose VSE-UNet, an improved VGG-UNet with an SE attention mechanism for enhanced feature learning. Through comprehensive training optimization strategies, including the Dice focal loss function and dropout technique, the model achieves robust and accurate segmentation of both kernels and chalky regions in continuous CT slices. …”
Get full text

Artificial Intelligence in Laryngeal Cancer Detection: A Systematic Review and Meta-Analysis by Ali Alabdalhussein, Mohammed Hasan Al-Khafaji, Rusul Al-Busairi, Shahad Al-Dabbagh, Waleed Khan, Fahid Anwar, Taghreed Sami Raheem, Mohammed Elkrim, Raguwinder Bindy Sahota, Manish Mair

Get full text

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity by Ryan L'Abbate, Anthony D'Onofrio, Samuel Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao

“…In this article, we concentrate on quantum deep learning and introduce a collaborative classical-quantum architecture called co-TenQu. …”
Get full text

Identify predictive factors for the emergence of self-reported oropharyngeal dysphagia in older men and women populations: a retrospective cohort analysis by Shuang Liu, Shuang Liu, Ling-Jie Fan, Hao Tian, Sha-Sha Wei, Si-Jie Zhang, Mei He, Ji-Hong Wei

Get full text

Short-term results of hip prosthesis with shortening osteotomy in patients with crowe type iv dysplastic coxarthrosis by Omer Polat, Selim Sanel, Mehmet Nurullah Ermis, Can Solakoglu

Get full text

DANNET: deep attention neural network for efficient ear identification in biometrics by Deepthy Mary Alex, Kalpana Chowdary M., Hanan Abdullah Mengash, Venkata Dasu M., Natalia Kryvinska, Chinna Babu J., Ajmeera Kiran

“…This shift has highlighted the need for reliable biometric systems that can function effectively even when facial features are partially obscured. …”
Get full text