TCSRNet: a lightweight tobacco leaf curing stage recognition network model by Panzhen Zhao, Panzhen Zhao, Songfeng Wang, Shijiang Duan, Aihua Wang, Lingfeng Meng, Yichong Hu

“…Secondly, the incorporation of Ghost modules significantly reduces the model’s computational complexity and parameter count through parameter sharing, enabling efficient recognition of tobacco leaf curing stages. …”
Get full text

Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model by Antonios M. Alvertis, Abid Khan, Thomas Iadecola, Peter P. Orth, Norm Tubman

“…Concurrently, spatially inhomogeneous parameters and the presence of off-site Coulomb interactions only have a small effect on the accuracy of the computed ground state energies. …”
Get full text

Half-BPS Janus solutions in AdS7 by Andrea Conti, Giuseppe Dibitetto, Yolanda Lozano, Nicolò Petri, Anayeli Ramírez

“…Abstract We study half-BPS flows in gauged minimal 7d supergravity featured by an AdS3 × S 3 slicing of the metric, supported by a dyonic three-form field. …”
Get full text

Real-Time Lightweight Morphological Detection for Chinese Mitten Crab Origin Tracing by Xiaofei Ma, Nannan Shen, Yanhui He, Zhuo Fang, Hongyan Zhang, Yun Wang, Jinrong Duan

“…In the first stage, an improved YOLOv10n-based model is designed by incorporating omni-dimensional dynamic convolution, a SlimNeck structure, and a Lightweight Shared Convolutional Detection head, which effectively enhances the detection accuracy of crab targets under complex multi-scale environments while reducing computational cost. In the second stage, an Improved GoogleNet’s Inception Net for Crab is developed based on the Inception module, with further integration of Asymmetric Convolution Blocks and Squeeze and Excitation modules to improve the feature extraction and classification ability for regional origin. …”
Get full text

Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence by Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ben J. Tamo, Micky C. Nnamdi, Andrew Hornback, Ashley M. Carpenter, Coleman Hilton, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang

Get full text

YOLO11m-SCFPose: An Improved Detection Framework for Keypoint Extraction in Cucumber Fruit Phenotyping by Huijiao Yu, Xuehui Zhang, Jun Yan, Xianyong Meng

“…Additionally, an improved C3K2_PartialConv neck module is used to enhance information interaction and fusion among multi-scale features while maintaining computational efficiency. …”
Get full text

Microvascular heterogeneity exploration in core and invasive zones of orthotopic rat glioblastoma via ultrasound localization microscopy by Xing Hu, Gaobo Zhang, Yong Wang, Xiandi Zhang, Rong Xie, Xin Liu, Hong Ding

“…Capillary pattern, capillary hemodynamics, and functional quantitative parameters were compared among tumor core, invasive zone, and normal brain tissue with ex vivo micro-computed tomography (micro-CT) and scanning electron microscopy. …”
Get full text

Modelling Population Dynamics of Substance Abuse in the Presence of Addicted Immigrant With Real Data of Rehabilitation Cases by Jamiu Adeyemi Ademosu, Samson Olaniyi, Sulaimon Femi Abimbade, Furaha Michael Chuma, Richard Chinedu Ogbonna, Ramoshweu Solomon Lebelo, Kazeem Oare Okosun

Get full text

Microstructure and Electromagnetic Properties of Ni-Zn-Co Ferrite up to 20 GHz by Charalampos Stergiou

Get full text

Coherence analysis of local randomness and nonlocal correlation through polarization-basis projections of entangled photon pairs by Byoung S. Ham

Get full text

Exploring Dynamic Hierarchical Fusion for Multi-View Clustering by Zhenshan Chen, Xuran Tian, Lizhen Gao, Gengbin Liao, Yang Shen, Kainan Zheng, Jianglin Fang

“…Additionally, we introduce a multi-view gated fusion module, which utilizes a set of learnable normalized parameters to dynamically compute the contribution of each view’s representation and its multi-scale features. …”
Get full text

Thermodynamics and solar radiative analysis in Jeffery-Hamel flow through non-parallel channel by novel improved residual power series method by Mohamed Bouzidi, Mohsin Ul Haq, Ikram Ullah, Saira Shukat, Hijaz Ahmad, Mohammad Mahtab Alam, Hamid Khan, Marouan Kouki

Get full text

Adapting SAM2 Model from Natural Images for Tooth Segmentation in Dental Panoramic X-Ray Images by Zifeng Li, Wenzhong Tang, Shijun Gao, Yanyang Wang, Shuai Wang

“…We employ adapter modules to fine-tune the SAM2 model and introduce ScConv modules and gated attention mechanisms to enhance the model’s semantic understanding and multi-scale feature extraction capabilities for medical images. …”
Get full text

P-GELU: A Novel Activation Function to Optimize Whisper for Darija Speech Translation by Maria Labied, Abdessamad Belangour, Mouad Banane

“…Furthermore, P-GELU reduces training loss, improves feature retention, and enhances linguistic adaptability, making it a more effective alternative for speech translation tasks involving phonetic variability, code-switching, and limited training data. …”
Get full text

Rep-MobileViT: Texture and Color Classification of Solid Wood Floors Based on a Re-Parameterized CNN-Transformer Hybrid Model by Anning Duanmu, Sheng Xue, Zhenye Li, Yajun Zhang, Chao Ni

“…Specifically, the RepAIRB module is introduced, incorporating an asymmetric convolutional block (ACB) and a re-parameterized structure within the inverted residual block (IRB) module to enhance the network’s receptive field without increasing computational costs. Additionally, the RepMFF-MobileViT modu le is designed, utilizing a multi-feature fusion strategy and the RepTransformer structure to reduce the number of parameters while improving the network’s expressiveness and stability. …”
Get full text

Benchmarking Hook and Bait Urdu news dataset for domain-agnostic and multilingual fake news detection using large language models by Sheetal Harris, Jinshuo Liu, Hassan Jalil Hadi, Naveed Ahmad, Mohammed Ali Alshara

“…The lightweight LoRA fine-tuning method, with  0.032% trainable parameters, ensured robust data handling, computational efficiency while leveraging early stopping and optimized hyperparameters for reliable and high-performing monolingual and multilingual FND. …”
Get full text

Deep learning-based action recognition for joining and welding processes of dissimilar materials by Tao He, Xinyuan Jin, Yiming Zou

“…To address these limitations, we propose a novel deep learning-based framework specifically designed for action recognition in joining and welding tasks involving dissimilar materials.MethodsOur proposed model, the Multi-Scale Spatiotemporal Attention Network (MS-STAN), leverages advanced hierarchical feature extraction techniques and attention mechanisms to capture fine-grained spatiotemporal patterns across varying scales. …”
Get full text

Design of Airscrew Propeller as an Alternative Main Propulsion for Wing in Surface Effect (WiSE) A2C Using the Simplified Method Approach by Cahyo Sasmito, Rutma Pujiwat, Dany Hendrik Priatno, Iskendar Iskendar, Muh Hisyam Khoirudin, Dimas Bahtera Eskayudha

“…This method balances practicality with empirical data, offering a straightforward framework for generating initial design parameters without extensive computational demands. …”
Get full text

Model-free current control solution employing intelligent control for enhanced motor drive performance by Muhammad Usama, Jaehong Kim

“…Abstract The study presents an intelligent, model-free current control strategy that eliminates the need for explicit plant models while efficiently reducing the effect of plant parameter perturbation. By employing a data-driven approach with fewer input features, the proposed scheme reduces the computational burden during training while maintaining high control performance. …”
Get full text

Health State Assessment Method for Complex Systems Based on Correlation Decoupled Belief Rule Base by Sulong Li, Hailong Zhu, Kaitong Zhu, Kangle Li

Get full text