YOLO-MECD: Citrus Detection Algorithm Based on YOLOv11 by Yue Liao, Lerong Li, Huiqiang Xiao, Feijian Xu, Bochen Shan, Hua Yin

“…This modification not only enhances feature extraction capabilities and detection accuracy for citrus fruits but also achieves a significant reduction in model parameters. …”
Get full text

A Novel Lightweight U-Shaped Network for Crack Detection at Pixel Level by Zhong Luo, Xinle Li, Yanfeng Zheng

Get full text

Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank by Xinru Xue, Ting Shu, Jinsong Xia

Get full text

Numerical Analysis of Breast Cancer Cell with Gold Nanoparticles Necrosis by Laser Hyperthermia by Shna A. Karim, Yousif M. Hassan

“…We would like here to stress that our attempt was a theoretical and computer model with some real and hypothesized parameters and homogeneous target. …”
Get full text

CRGAN: A Context-Aware Clothing Design and Recommendation System for Young Sri Lankan Females Using Generative Adversarial Networks by Nethmi Pathirana, Azma Imtiaz, Shakir Saheel, Kasun Karunanayaka, Adrian David Cheok

Get full text

Urban Traffic State Estimation with Online Car-Hailing Data: A Dynamic Tensor-Based Bayesian Probabilistic Decomposition Approach by Wenqi Lu, Ziwei Yi, Dongyu Luo, Yikang Rui, Bin Ran, Jianqing Wu, Tao Li

“…However, most of the advanced studies focus on building complex deep learning structures to learn the spatiotemporal feature of the urban traffic flow, ignoring improving the efficiency of the traffic state estimation. …”
Get full text

Through-Wall Detection with LS-SVM under Unknown Wall Characteristics by Fangfang Wang, Yerong Zhang, Huamei Zhang

“…The complex scattering process due to the presence of the walls is automatically included in the nonlinear relationship between the feature vector extracted from the target scattered fields and the position of the target. …”
Get full text

Expression Recognition Algorithm of Deeply Separable Residual Network under Joint Loss by LI Jingyu, CHENG Weiyue, LIN Kezheng, MIAO Zhuang, LI Ao

Get full text

Acoustic And Articulatory Analysis Of The Gemination In Modern Standard Arabic by Kamel Ferrat, Mhania GUERTI

“… In this paper, we report the results of an experimental study of the acoustic and articulatory properties of the geminate consonants in Modern Standard Arabic (MSA). To extract the feature characteristics, we have carried out an acoustic analysis by computing the values of frequency formants, energy and durations of the consonants and subsequent vowels in the various [VCV] and [VCgV] utterances (Cg: geminate consonant). …”
Get full text

K-means clustering of a soil sampling scheme with data on the morphography of the Ogosta valley northwestern Bulgaria by Assen TCHORBADJIEFF, Tsvetan KOTSEV, Velimira STOYANOVA, Emilia TCHERKEZOVA

“… The spatial distribution of 665 soil sampling sites in the arsenic contaminated floodplain of the Ogosta River in the Northwest of Bulgaria is analysed against geomorphological parameters computed from a precise digital terrain model. …”
Get full text

Soret Effect and Chemical Process on MHD Oscillatory Flow in a Physiological Fluid by R. Kavitha, Nyagong Santino David Ladu, S. Ravi

“…To highlight the key features, the numerical computations of the physical parameters, Grashof number, Reynolds number, Magnetic number, and Soret number were presented graphically. …”
Get full text

CMRNet: An Automatic Rapeseed Counting and Localization Method Based on the CNN-Mamba Hybrid Model by Jie Li, Chenbo Yang, Chengyong Zhu, Tao Qin, Jingmin Tu, Binhui Wang, Jian Yao, Jiangwei Qiao

“…The model synergizes local feature extraction via CNN with the global modeling strengths of the Mamba state space model, yielding semantically rich features while significantly enhancing computational efficiency and inference speed. …”
Get full text

Football sports video tracking and detection technology based on YOLOv5 and DeepSORT by Bin Wang

“…The outcomes indicated that the average accuracy value of the improved YOLOv5 model for target detection was more than 90%, which effectively reduced the number of computational parameters. The detection performance under target overlap and uneven lighting and shadows exceeded 90%, and the difference between the algorithm and other algorithms was at least greater than 2%. …”
Get full text

Machine Learning-Based Prediction of Unconfined Compressive Strength of Sands Treated by Microbially-Induced Calcite Precipitation (MICP): A Gradient Boosting Approach and Correlat... by Saeed Talamkhani

“…Moreover, a series of correlation and feature importance analyses are carried out over the dataset. …”
Get full text

A Quadrotor UAV System for Forest Fire Monitoring by HUANG Jing, AO Zihang, ZHANG Youmin, MU Lingxia, ZHENG Kai

“…The sensing information from the above three sensors is fused by the onboard Raspberry Pi computer. A target detecting algorithm based on the dynamic and static characteristic frequency, smoke feature is proposed, and a contrast test is conducted. …”
Get full text

Design and Optimization of an Al Doped ZnO in Si-Slot for Gas Sensing by Ritapa Bhattacharjee, N. T. Kejalakshmy, B. M. Azizur Rahman

Get full text

RADNet: Adaptive Spatial-Dilation Learning for Efficient Road Crack Detection by Kehao Du, Yifan Dai

“…Experiments on the RDD 2022 dataset demonstrate that RADNet achieves state-of-the-art performance with <inline-formula> <tex-math notation="LaTeX">$86.6\%$ </tex-math></inline-formula> precision, 78.7% recall, and 83.8% mAP50, while maintaining a lightweight architecture of 2.47M parameters and 9.4 GFLOPs at 370 FPS. Ablation studies show that the integration of ASDown and C2f-MSD significantly enhances both detection accuracy and computational efficiency, improving mAP50 by 5.6% over the YOLOv8n baseline while reducing computational complexity.…”
Get full text

Sequential Monte Carlo Squared for online inference in stochastic epidemic models by Dhorasso Temfack, Jason Wyse

“…This feature enables timely parameter updates and significantly enhances computational efficiency compared to standard SMC2, which requires processing all past observations. …”
Get full text

Lightweight detection model for safe wear at worksites using GPD-YOLOv8 algorithm by Jian Xing, Chenglong Zhan, Jiaqiang Ma, Zibo Chao, Ying Liu

“…Firstly, this study introduces the P2 detection layer within the YOLOv8 architecture, which substantially enriches semantic feature representation. Additionally, a lightweight Ghost module is integrated to replace the original backbone of YOLOv8, thereby reducing the parameter count and computational burden. …”
Get full text

A One-Dimensional Depthwise Separable Convolutional Neural Network for Bearing Fault Diagnosis Implemented on FPGA by Yu-Pei Liang, Hao Chen, Ching-Che Chung

“…The design processes the one-dimensional rolling bearing current signal dataset provided by Paderborn University (PU), employing minimal preprocessing to maximize the comprehensiveness of feature extraction. To address the high parameter demands commonly associated with convolutional neural networks (CNNs), the model incorporates DSC, significantly reducing computational complexity and parameter load. …”
Get full text