Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…The model demonstrates strong cross-dataset generalization, balancing accuracy and efficiency. These findings contribute to advancements in small drone target detection.…”
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Improved UAV Target Detection Model for RT-DETR by Yong He, Yufan Pang, Guolin Ou, Renfeng Xiao, Yifan Tang

“…In light of the shortcomings pertaining to UAV small target detection, the detection of complex scenes, and the detection of multi-scale targets, a time-frequency dual-domain feature extraction algorithm, TF-DETR, has been proposed. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

“…This strategy is innovative in improving relay selection efficiency and optimizing network performance. …”
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Influence of agroclimatic factors on the efficiency of multi-ovulation in cattle in the Peruvian tropics by Gleni Tatiana Segura Portocarrero, Gleni Tatiana Segura Portocarrero, Gleni Tatiana Segura Portocarrero, Nilton Luis Murga Valderrama, Rainer Marco Lopez Lapa, José Américo Saucedo Uriarte, Deiner Jhonel Gongora Bardales, Hugo Frias Torres, Annie Yoselin Poclín Rojas, Benjamin Depaz Hizo, Ronald Will Vasquez Tarrillo, Lizeth Amparo Heredia Vilchez, Gustavo Ampuero Trigoso

“…Data visualization was achieved using R Studio libraries, including ggplot2, factoextra, and FactoMineR.ResultsThe analyses highlight the influence of the interaction between humidity and temperature, resulting in THI on bovine stress, revealing complex interactions that primarily affect embryo production. …”
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Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture by Yingbiao Yao, Xiaojuan Li

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Research on pedestrian detection technology for mining unmanned vehicles by ZHOU Libing, YU Zhengqian, WEI Jianjian, JIANG Xueli, YE Baisong, ZHAO Yexin, YANG Siliang

“…The working environment of mining unmanned vehicles features complex lighting conditions, leading to frequent occurrences of missed detections in pedestrian detection, which undermines the reliability and safety of these vehicles. …”
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High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges by Tao Cheng, Dongyan Zhang, Gan Zhang, Tianyi Wang, Weibo Ren, Feng Yuan, Yaling Liu, Zhaoming Wang, Chunjiang Zhao

“…High-throughput phenotyping (HTP) technology is now a significant bottleneck in the efficient selection and breeding of superior forage genetic resources. …”
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OFF-PEAK WATER DISPERSAL BASED ON STEAM SELECTING OF NPP ENERGY BLOCKS WITH PWR by V. A. Khrustalev, B. M. Suchkov

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Improved printed circuit board defect detection scheme by Lufeng Bai, Wen Hao Xu

“…Furthermore, in order to further enhance the interaction and fusion of multi-scale features, we also add a SlimNeck module to the neck structure, which realizes efficient information transfer through streamlined design and reduces computational complexity at the same time. …”
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YOLO-MFD: Object Detection for Multi-Scenario Fires by Fuchuan Mo, Shen Liu, Sitong Wu, Ruiyuan Chen, Tiecheng Song

“…Fire refers to a disaster caused by combustion that is uncontrolled in the temporal and spatial dimensions, occurring in diverse complex scenarios where timely and effective detection is crucial. …”
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An MILP Model for Optimizing Quality Inspection Allocation with Technology Selection and Variable Sampling Rates by Michele Ronchi, Cristian Cafarella, Matteo Gabellini, Alberto Regattieri, Mauro Gamberi

“…Quality inspection is critical for ensuring efficiency and compliance in assembly lines. The increasing adoption of AI-driven technologies, such as machine vision systems, offers significant potential to enhance detection performance and reduce inspection costs. …”
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A comprehensive review of direct, indirect, and AI-based detection methods for milk powder by Xiaodong Song, Song Shen, Guanjun Dong, Haohan Ding, Haohan Ding, Zhenqi Xie, Long Wang, Wenxu Cheng

“…The indirect detection methods of milk powder mainly use microscopic imaging, spectral analysis, electronic nose system, environmental parameter monitoring and other technologies to establish complex mathematical models and provide a fast and non-destructive alternative. …”
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HyperSMamba: A Lightweight Mamba for Efficient Hyperspectral Image Classification by Mengyuan Sun, Liejun Wang, Shaochen Jiang, Shuli Cheng, Lihan Tang

“…However, the quadratic computational complexity of the self-attention mechanism limits its application in hyperspectral image classification (HSIC). …”
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Detecting global financial crises with scarce data by multivariate nonlinear filtering by Cécile Bastidon, Antoine Parent, Patrice Abry, Pierre Borgnat, Pablo Jensen, Barbara Pascal

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A new method for assessing the marketing efficiency of agricultural marketing channels by Arif Abad, Mohd Abdul Muqeet Maaz, Mohd Salman Shamsi

“…The present study first identified the shortcomings of the old methods based on a literature review and then attempted to propose a new method for calculating marketing efficiency by overcoming these issues. The efficiency of marketing channels is calculated based on primary data collected from two randomly selected agriculture markets in Delhi, marketing cooperative societies operating in Delhi, and their respective intermediaries, flour mills, and consumers in the channel. …”
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Deep Learning-Based Algorithm for Road Defect Detection by Shaoxiang Li, Dexiang Zhang

“…However, challenges remain, such as insufficient detection precision for detection precision for road defect recognition and issues of missed or false detections in complex backgrounds. …”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…However, the complex marine environment, poor resolution, color distortion in underwater optical imaging, and limited computational resources all affect the accuracy and efficiency of underwater object detection. …”
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USING THE GENERAL ELECTRIC / MCKINSEY MATRIX IN THE PROCESS OF SELECTING THE CENTRAL AND EAST EUROPEAN MARKETS by Nicolae Răzvan Decuseară

“…Due to the large number and diversity of markets that can choose, analyze of the market attractiveness and the selection the most interesting is a complex process. …”
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Machine learning algorithm for intelligent detection of WebShell by Hua DAI, Jing LI, Xin-dai LU, Xin SUN

“…WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learning algorithm was put forward to detect WebShell intelligently.By learning the features of existing WebShell and non-existing WebShell pages,the algorithm can make prediction of the unknown pages,and the flexibility and adaptability were both very good.Compared with the traditional WebShell detection methods,the experiment proves that the algorithm has higher detection efficiency and accuracy,and at the same time there is a certain probability to detect new types of WebShell.…”
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A Hybrid Seed Node Selection and No-Retracing Random Walk in Page Rank Algorithm by Azam Bastanfard, Ali Kheradbeygi Moghadam, Ali Fallahi RahmatAbadi

“…The random walk technique, which has a reputation for excellent performance, is one method for complex networks sampling. However, reducing the input data size is still a considerable topic to increase the efficiency and speed of this algorithm. …”
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