Numerical Exploratory Analysis of Dynamics and Control of an Atomic Force Microscopy in Tapping Mode with Fractional Order by Mauricio A. Ribeiro, Jose M. Balthazar, Wagner B. Lenz, Rodrigo T. Rocha, Angelo M. Tusset

“…Moreover, the fractional calculus is introduced into the mathematical model, employing the Riemann-Liouville kernel discretization in the viscoelastic term of the system. …”
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Expectation violations as an effective alternative to complex mentalizing in novel communication by Tatia Buidze, Yuan-Wei Yao, Jan Gläscher

“…Human receivers interacted with each agent; we measured goal-identification accuracy and reaction times. The results show that Receivers paired with the Surprise model matched the accuracy of the most complex second level Theory of Mind agent and produced human-like message patterns. …”
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Spectral Mapping Using Kernel Principal Components Regression for Voice Conversion by Peng SONG, Li ZHAO, Yongqiang BAO

“…The Gaussian mixture model (GMM) method is popular and efficient for voice conversion (VC), but it is often subject to overfitting. …”
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Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

“…On the other hand, MiniRocket excels for ease of configuration (only two hyperparameters are to be tweaked), overall training efficiency, and model size, lending itself as a valuable agile alternative (e.g., for rapid prototyping). …”
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A Deep Learning-Based Time-Frequency Scheme for Ship Detection Using HFSWR by Da Huang, Hao Zhou, Yingwei Tian, Zhiqing Yang, Weimin Huang

“…To ensure high-quality model training, we develop a semiautomatic annotation approach that uses automatic identification system (AIS) information as a reference and collect a TF dataset named HFSWR-TFD. …”
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Phenology-Aware Transformer for Semantic Segmentation of Non-Food Crops from Multi-Source Remote Sensing Time Series by Xiongwei Guan, Meiling Liu, Shi Cao, Jiale Jiang

“…Accurate identification of non-food crops underpins food security by clarifying land-use dynamics, promoting sustainable farming, and guiding efficient resource allocation. …”
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An Innovative Method of Monitoring Cotton Aphid Infestation Based on Data Fusion and Multi-Source Remote Sensing Using Unmanned Aerial Vehicles by Chenning Ren, Bo Liu, Zhi Liang, Zhonglong Lin, Wei Wang, Xinzheng Wei, Xiaojuan Li, Xiangjun Zou

“…Accordingly, there is a pressing need for efficient and high-precision UAV remote sensing technology for effective identification and localization. …”
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HMA-Net: a hybrid mixer framework with multihead attention for breast ultrasound image segmentation by Soumya Sara Koshy, L. Jani Anbarasi

“…The strong performance of the model on the BUSI and BrEaST datasets demonstrates the robustness and generalization capability of the model.…”
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Integrated and improved YOLOv8 and triangulated network method for extracting indicators in open-pit mine mining areas by LI Tianwen, LI Gongquan, LI Juntao

“…Based on YOLOv8, the following improvements were made to obtain Mine-YOLO: the addition of an Efficient Multi-Scale Attention (EMA) module to enhance the model's recognition and segmentation accuracy of mining field boundaries; the inclusion of a Global Attention Mechanism (GAM) module to retain open-pit mining field feature data at a global scale, improving target recognition accuracy; and the optimization of the Focaler-IoU loss function to enhance the model's ability to distinguish positive samples. …”
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DAM-Faster RCNN: few-shot defect detection method for wood based on dual attention mechanism by Xingyu Tong, Zhihong Liang, Mingming Qin, Fangrong Liu, Jiayu Yang, Hengjiang Xiao, Wei Dai

“…To address the above issues, this paper proposes an improved Faster RCNN model based on a dual attention mechanism (DAM). …”
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A new strategy for Cas protein recognition based on graph neural networks and SMILES encoding by Gaoxiang Chen, Liya Hou, Zhanwei Li, Bin Xie, Yongqiang Liu

“…Next, based on the characteristic differences of different Cas proteins, we designed and trained an ensemble model composed of two Directed Message Passing Neural Network (DMPNN) models for high-precision identification of Cas1 proteins. …”
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Discovery of novel VEGFR2 inhibitors against non-small cell lung cancer based on fingerprint-enhanced graph attention convolutional network by Zixiao Wang, Lili Sun, Yu Xu, Jing Huang, Fang Yang, Yu Chang

“…This approach combines the advantages of target-based and phenotype-based screening, facilitating the rapid and efficient identification of candidate compounds with dual activity against VEGFR2 and A549 cell lines. …”
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Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine by Saleha Kamal, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Hui Liu

“…The experimental findings show that our model outperforms others in terms of classification, accuracy, and generalization, indicating its efficient analysis on benchmark datasets. …”
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Classification of Dyslexia Among School Students Using Deep Learning by Alia Hussein, Ahmed Talib Abdulameer, Ali Abdulkarim, Husniza Husni, Dalia Al-Ubaidi

“…CNNs are powerful deep-learning models capable of extracting complex patterns from data. …”
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AI Roles in 4R Crop Pest Management—A Review by Hengyuan Yang, Yuexia Jin, Lili Jiang, Jia Lu, Guoqi Wen

“…This review explores the roles of AI technologies within the 4R framework, highlighting AI models for accurate pest identification, computer vision systems for real-time monitoring, predictive analytics for optimizing control timing, and tools for selecting and applying pest control measures. …”
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Automatic Segmentation and Characterization of Structure Planes From Borehole Images Based on Deep Learning by Shuangyuan Chen, Zengqiang Han, Yi Cheng, Chao Wang

“…Structural characteristics of rock masses are crucial in geotechnical engineering, yet manual identification of structural planes from borehole images is limited by efficiency and reliability. …”
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Detection of weeds in vegetables using image classification neural networks and image processing by Huiping Jin, Kang Han, Kang Han, Hongting Xia, Bo Xu, Xiaojun Jin

“…The background grid cells, which contained no green pixels, were identified, while the remaining cells were labeled as weed cells. EfficientNet, GoogLeNet, and ResNet models achieved overall accuracies of over 0.956 in identifying vegetables in the testing dataset, demonstrating exceptional identification performance. …”
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Environmental Sensitivity in AI Tree Bark Detection: Identifying Key Factors for Improving Classification Accuracy by Charles Warner, Fanyou Wu, Rado Gazo, Bedrich Benes, Songlin Fei

“…This study leverages artificial intelligence (AI), specifically the EfficientNet-B3 convolutional neural network, to enhance AI-based tree bark identification, focusing on northern red oak (<i>Quercus rubra</i>), hackberry (<i>Celtis occidentalis</i>), and bitternut hickory (<i>Carya cordiformis</i>) using the CentralBark dataset. …”
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Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies. by Ahmed Akib Jawad Karim, Muhammad Zawad Mahmud, Riasat Khan

“…A novel framework has been introduced that integrates Transformer-based deep learning models with comprehensive data augmentation and preprocessing methods, enabling robust and precise identification of ten mosquito species. …”
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Dense-ShuffleGCANet: An Attention-Driven Deep Learning Approach for Diabetic Foot Ulcer Classification Using Refined Spatio-Dimensional Features by Armaano Ajay, Akshaj Singh Bisht, R. Karthik

“…The architecture of DenseNet-169 is modified to integrate the CCDGS block and triplet attention, enabling the model to efficiently capture long-range dependencies and utilise cross-channel features. …”
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