A New Approach Based on Metaheuristic Optimization Using Chaotic Functional Connectivity Matrices and Fractal Dimension Analysis for AI-Driven Detection of Orthodontic Growth and D... by Orhan Cicek, Yusuf Bahri Özçelik, Aytaç Altan

“…The resulting AI-driven model was validated with 10-fold cross-validation and demonstrated high accuracy in identifying growth stages. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…First, we replace the random initialization method of the population in the SSA with Circle mapping to enhance its diversity and quality. Second, we introduce a hybrid mechanism combining dimensional small-hole imaging backward learning and Cauchy mutation, which improves the diversity of the individual sparrow selection of optimal positions and helps overcome the algorithm’s tendency to become trapped in local optima and premature convergence. …”
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Fine-grained point cloud classification based on hierarchical feature enhancement. Journal of Zhejiang University (Science Edition),2025,52(1):70⁃80(基于层次特征增强的细粒度点云分类)... by 白静(BAI Jing), 刘路(LIU Lu), 郑虎(ZHENG Hu), 蒋金哲(JIANG Jinzhe)

“…Aiming at the problem of insufficient local feature extraction of general point cloud classification methods in fine-grained classification tasks, we propose a point cloud-oriented 3D model classification framework, HFE-Net. The Veronese mapping-based point feature enhancement module (V-PE) is used to enhance the point cloud data, so that the network learns higher-order information of the normal and the attitude; the multi-scale context-aware intra-cluster feature enhancement module (CA-IntraCE) utilizes different scales of K-nearest neighbor algorithms and cross-attention to achieve different scales of features and eliminate the loss of information caused by maximal pooling; the inter-cluster feature enhancement module (GSS-InterCE) based on grouped sparse sampling utilizes the furthest-point-sampling (FPS) algorithm to obtain sparse points and the cross-attention to achieve the enhancement of different clusters, so that the network has stronger fine-grained discriminative ability.In the experimental results on the three sub-datasets Airplane, Car, and Chair of FG3D, the overall accuracies of HFE-Net reach 97.40%, 80.53%, and 83.83%, respectively, which have ex-ceeded those of the existing SOTA methods, DC-Net and FGPNet, showcasing the superior classification performance of HFE-Net.…”
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Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning by Zejun Wang, Yuxin Xia, Houqiao Wang, Xiaohui Liu, Raoqiong Che, Xiaoxue Guo, Hongxu Li, Shihao Zhang, Baijuan Wang

“…The empirical findings indicate that the enhanced YOLOv8 algorithm has achieved a marked improvement in metrics such as Precision, Recall, F1, and mAP, with increases of 3.39%, 0.86%, 2.20%, and 2.81% respectively, when juxtaposed with the original YOLOv8 model. …”
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Five-Year Evaluation of Sentinel-2 Cloud-Free Mosaic Generation Under Varied Cloud Cover Conditions in Hawai’i by Francisco Rodríguez-Puerta, Ryan L. Perroy, Carlos Barrera, Jonathan P. Price, Borja García-Pascual

“…We conducted a comparative analysis of three cloud-masking methods: two Google Earth Engine algorithms (CloudScore+ and s2cloudless) and a new proprietary deep learning-based algorithm (L3) applied to Sentinel-2 imagery. …”
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Human motion similarity evaluation based on deep metric learning by Yidan Zhang, Lei Nie

“…More accurate and reliable human action similarity evaluation results were achieved by the loss function composed of three components, namely, cross-reconstruction loss, reconstruction loss and triplet loss. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…Abstract Background Metaheuristic algorithms have been widely employed to solve optimization problems, but their application in analyzing health-related data remains limited. …”
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Three-Dimensional UAV Path Planning Based on Multi-Strategy Integrated Artificial Protozoa Optimizer by Qingbin Sun, Xitai Na, Zhihui Feng, Shiji Hai, Jinshuo Shi

“…To address these limitations, this paper proposes a multi-strategy integrated artificial protozoa optimization (IAPO) algorithm for UAV 3D path planning. First, the tent map and refractive opposition-based learning (ROBL) are employed to enhance the diversity and quality of the initial population. …”
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A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model for Infrastructure as a Service (IaaS) Cloud Environment by Farheen Bano, Faisal Ahmad, Mohammad Shahid, Mahfooz Alam, Faraz Hasan, Mohammad Sajid

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Crude Oil and Hot-Rolled Coil Futures Price Prediction Based on Multi-Dimensional Fusion Feature Enhancement by Yongli Tang, Zhenlun Gao, Ya Li, Zhongqi Cai, Jinxia Yu, Panke Qin

“…The technical indicators, volatility indicators, time features, and cross-variety linkage features are integrated to build a prediction system, and the lag feature design is used to prevent data leakage. …”
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DEPANet: A Differentiable Edge-Guided Pyramid Aggregation Network for Strip Steel Surface Defect Segmentation by Yange Sun, Siyu Geng, Chengyi Zheng, Chenglong Xu, Huaping Guo, Yan Feng

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High-Precision Chip Detection Using YOLO-Based Methods by Ruofei Liu, Junjiang Zhu

“…Experimental results show that the ghost module reduces the FLOPs from 6.48 G to 5.72 G compared to YOLOv11n, with a negligible accuracy loss, while the DNMS algorithm improves the debris detection precision across different YOLO versions. …”
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Analytical approach to digital channel performance optimization of mobile money transactions in emerging markets by Adeolu Dairo, Krisztián Szűcs

“…It is complemented by mapping the appropriate campaign techniques across digital and non-digital channels of mobile money transactions. …”
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Enhancing Adversarial Transferability With Intermediate Layer Feature Attack on Synthetic Aperture Radar Images by Xuanshen Wan, Wei Liu, Chaoyang Niu, Wanjie Lu, Yuanli Li

“…Finally, a domain-agnostic feature attention module is utilized to reduce discrepancies between different data domains from a model perspective, further improving the transferability of adversarial examples across domains. Experimental results on five SAR datasets of ground vehicles, ships, and scene types demonstrate that the proposed algorithm outperforms 13 mainstream adversarial attack algorithms in terms of cross-model and cross-data domain transferability. …”
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Enhancing downwelling diffuse attenuation coefficient retrieval at 490 nm through a Neural network and water classification system by Tianle Yao, Tianjie Zhan, Jilin Men, Lan Zhang, Liqiao Tian

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Self-healing mechanism for reconfigurable service overlay networks by Yu-ting MIAO, Chun-ming WU, Qiang YANG, Ming JIANG

“…A fast self-healing algorithm of reconfigurable service overlay networks against the physical substrate faults was presented.The suggested algorithm converted the self-healing problem to the multi-commodity flow problem.Extensive simulation experiments and the numerical results show that the proposed fast self-healing algorithm can further improve the healing success ratio and efficiency of the service overlay networks in comparison with the conventional overall re-mapping approach,whilst significantly reduces the load across the physical network.…”
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Soil Organic Carbon Estimation and Transfer Framework in Agricultural Areas Based on Spatiotemporal Constraint Strategy Combined with Active and Passive Remote Sensing by Jiaxin Qian, Jie Yang, Weidong Sun, Lingli Zhao, Lei Shi, Hongtao Shi, Lu Liao, Chaoya Dang, Qi Dou

“…Mapping soil organic carbon (SOC) plays a crucial role in agricultural productivity and water management. …”
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Research on Road Crack Detection Based on RGB-LPC-GPR Data Fusion by Z. Wang, D. Qiu, R. Wu, R. Wu, Y. Shi, W. Niu

“…This study presents a multimodal data fusion framework for road damage detection and prediction, integrating RGB images, LiDAR point clouds, and GPR (Ground Penetrating Radar) data to enable high-precision detection of surface cracks, potholes, and underground voids, as well as dynamic trend forecasting. By leveraging Deep Mapping 2.0 and the RAFT algorithm, the alignment accuracy between RGB and LiDAR data was significantly improved, reducing registration error to 2.3 mm. …”
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Non-invasive eye tracking technology based on corneal reflex by Di GAO, Gui-sheng YIN, Chun-guang MA

“…For the deficiencies that existing eye tracking devices are complex,have too many restrictions on the position,need to wear special equipment.A novel method of eye tracking technology using the five near-infrared light as the source of corneal reflex was put forward.This method did not need any wearing equipment,and could adapt to the natural head movement,the algorithm designed calculates the position of sight in high accuracy.A novel method of pupil edge fitting was put forward:fitted circularly and removed false points to get accurate position of pupil center,improved mapping accuracy.Used the GrayScale of image to initialize eye position quickly and accurately.Using the theory of cross-ratio invariance to make coordinate mapping,finally calculated the attention coordinate accurately.…”
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A performance enhanced distributed computing framework for clustering by local direction centrality upon Apache Spark by Zhipeng Gui, Zichen Huang, Huan Chen, Dehua Peng, Yuhang Liu, Guangyao Fang, Qianxi Lan, Anqi Zhao, Huayi Wu

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