LCAMNet: a lightweight model for apple leaf disease classification in natural environments by Yuanyuan Jiao, Honghui Li, Xueliang Fu, Buyu Wang, Buyu Wang, Kaiwen Hu, Shuncheng Zhou, Daoqi Han

“…A multi-scale structure is introduced to enhance lesion feature diversity representation. An improved triplet attention mechanism is utilized to better capture deep lesion features. …”
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A DEM super resolution reconstruction method based on normalizing flow by Jie Yu, Yangtenglong Li, Xuan Bai, Ronghao Yang, Mengxue Cui, Haohao Wu, Zheng Li, Fangzheng Su, Ze Li, Taohuai Liang, Hongliang Yan

“…At present, DEM super-resolution reconstruction methods mainly solve the problem by designing a more sophisticated network. …”
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Glass Half Empty or Half Full: Single-Session Endoscopic Removal of Multiple Glass Vials in the Upper Gastrointestinal Tract Using a Novel Approach by Raghav Bassi, Gabriel S. Silva, Tony S. Brar, Yaseen Perbtani

“…Foreign body ingestion is a commonly encountered problem clinically with management targeted at early radiological imaging to identify high-risk features that can increase the risk of perforation. …”
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The Hybrid Model: Prediction-Based Scheduling and Efficient Resource Management in a Serverless Environment by Louai Shiekhani, Hui Wang, Wen Shi, Jiahao Liu, Yuan Qiu, Chunhua Gu, Weichao Ding

“…However, the cold start problem remains a major challenge, not only because of the substantial latency it introduces to function execution time, but also because frequent cold starts lead to poor resource utilization, especially during workload fluctuations. …”
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Improved weighted sum estimation of total radiated power at W7-X by G. Partesotti, F. Reimold, A. Tsikouras, D. Zhang, G. Kawamura, B.J. Peterson, the W7-X Team

“…First, we generate synthetic radiated power phantoms with characteristic W7-X radiation features to derive a set of optimized line-of-sight weights. …”
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ADWNet: An improved detector based on YOLOv8 for application in adverse weather for autonomous driving by Xinyun Feng, Tao Peng, Ningguo Qiao, Haitao Li, Qiang Chen, Rui Zhang, Tingting Duan, JinFeng Gong

“…To address the problem of information loss in fused features, Neck has been replaced with RepGDNeck. …”
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Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field by Shuangshuang Zhang, Shuangshuang Zhang, Xiangdong Yu, Xiuli Gao, Donglin Li, Shijun Huang

“…The model can be substituted into the static and dynamic characteristic parameters at the same time to complete the importance ranking of classification features and model training, and realize the dynamic and static integration classification of Sulige gas well. …”
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BFER-Net: Babies Facial Expression Recognition Model Using ResNet12 Enabled Few-Shot Embedding Adaptation and Convolutional Block Attention Modules by Sumiya Arafin, Adnan Ferdous Ashrafi, Md. Golam Rabiul Alam, Ashis Talukder

“…Here, we have deployed the feature extraction process. A Convolutional Block Attention Module (CBAM) was integrated into the Modified ResNet12 architecture. …”
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YOLOv7-DWS: tea bud recognition and detection network in multi-density environment via improved YOLOv7 by Xiaoming Wang, Xiaoming Wang, Zhenlong Wu, Guannan Xiao, Guannan Xiao, Chongyang Han, Cheng Fang

“…The problem of simultaneous detection and classification of one-bud-one-leaf and one-bud-two-leaves of tea was solved. …”
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Prob-sparse self-attention extraction of time-aligned dynamic functional connectivity for ASD diagnosis by Hongwu Chen, Fan Feng, Pengwei Lou, Ying Li, MingLi Zhang, Feng Zhao

“…In this paper, we propose an ASD classification framework PSA-FCN which is based on time-aligned DFC and Prob-Sparse Self-Attention to address this problem. Specifically, we introduce Prob-Sparse Self-Attention to selectively extract global features, and use self-attention distillation as a transition at each layer to capture local patterns and reduce dimensionality. …”
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Learning Spectral–Spatial-Former Deep Prior for Hyperspectral Image Superresolution by Zeinab Dehghan, Jingxiang Yang, Abdolraheem Khader, Jian Fang, Liang Xiao

“…By implementing multiscale spatial-aware and multidepth channel-aware modules, we generate comprehensive deep spatial–spectral prior feature maps. The spatial branch focuses on using local–global prior features for HS image reconstruction, while the spectral branch emphasizes the most informative channels and their correlations. …”
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Multiple organ failure in patients with combined breast injury: diagnosis and treatment by E. S. Vladimirova, F. A. Chernousov, S. A. Badygov, S. I. Rey, G. A. Berdnikov, E. V. Klychnikova, O. A. Alekseechkina, I. E. Popova, E. D. Men'shikova

“…Modern methods of diagnosis and treatment of victims with severe combined trauma, the fulfillment of the conditions of the "golden hour" do not solve the problem of a favorable outcome, sepsis and multiple organ failure (PON) remain the main cause of death.The purpose of the study. …”
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An evaluation of multi-fidelity methods for quantifying uncertainty in projections of ice-sheet mass change by J. D. Jakeman, M. Perego, D. T. Seidl, T. A. Hartland, T. R. Hillebrand, M. J. Hoffman, S. F. Price

“…This significant reduction in computational cost was achieved despite the low-fidelity models used being incapable of capturing the local features of the ice-flow fields predicted by the high-fidelity model. …”
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Ocean Target Electric Field Signal Analysis and Detection Using LOFAR Based on Basis Pursuit by Huiwen Hu, Xuepeng Sun, Guocheng Wang, Lintao Liu

“…To address this problem, we propose a method called low-frequency analysis and recording based on basis pursuit (LOFAR-BP) for analyzing and detecting ocean target electric field signals. …”
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ScreenSafeFuture: A parent-empathetic and pragmatic mhealth application for toddlers' brain development addressing screen-addiction challenges by Nafisa Anjum, Md. Mehedi Hasan, Syeda Umme Salma, Liang Zhao, Maria Valero de Clemente, Nazmus Sakib

“…To address this era's critical child health and development problem, in this paper an innovative mHealth application– ScreenSafeFuture—is proposed. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

“…Abstract Model optimization is a problem of great concern and challenge for developing an image classification model. …”
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Deep Unified Model For Face Recognition Based on Convolution Neural Network and Edge Computing by Muhammad Zeeshan Khan, Saad Harous, Saleet Ul Hassan, Muhammad Usman Ghani Khan, Razi Iqbal, Shahid Mumtaz

“…Usually, for face recognition, scale-invariant feature transforms (SIFT) and speeded up robust features (SURF) have been used by the research community. …”
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Plug-and-Play Robust Aerial Object Detection Under Hazy Conditions by Wei Wu, Hao Chang, Zhiwen Chen, Zhu Li

“…Moreover, we also propose a detection feature pyramid loss function to more accurately restore object features. …”
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Porphyromonas gingivalis bacterium as a risk factor for Alzheimer’s disease! by Andrei V. Kozlov, Artem V. Lyamin, Aleksei A. Neilenko, Anna V. Yanchenko, Alena A. Ereshchenko

“…Alzheimer’s disease remains a significant socio-economic problem in modern medicine. This disease is a neurodegenerative one that is characterized by the plaque formation and neurofibrillary tangles, due to the accumulation of β-amyloid peptide in the medial regions of the temporal lobe and the neocortical regions of the brain. …”
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A Transfer Learning Approach for Toe Walking Recognition Using Surface Electromyography on Leg Muscles by Andrea Manni, Gabriele Rescio, Anna Maria Carluccio, Andrea Caroppo, Alessandro Leone

“…This study proposes a new approach to detect toe walking using surface Electromyography (sEMG) on lower limbs. sEMG sensors, by measuring the electrical activity of muscles, can see signals before the movement corresponding to muscle activation, contributing to an early detection of a possible problem. The sEMG signal presents significant complexity due to its noisy nature and the challenge of extracting meaningful features for classification. …”
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