Research on dimension measurement algorithm for parcel boxes in high-speed sorting system by Ning Dai, Jingchao Chen, Xudong Hu, Yanhong Yuan

“…In this paper, we propose a 3D localization algorithm for rectangular packaging boxes based on deep learning, and design a lightweight parcel box detection model, the Efficient Object detection Network (EODNet). …”
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DETECTING URBAN SLUMS IN DKI JAKARTA: A KOTAKU DATA APPROACH WITH ENSEMBLE METHODS by Muhammad Muawwad MS, Rani Nooraeni, Ananda Galuh Intan Prasetya

“…Slums are one of the problems that often occur in urban areas, especially in developing countries. …”
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Détecter la tuberculose par algorithmes : les valorisations d’une technologie de surveillance par la santé mondiale by Julien Onno, Pierre-Marie David

“…Computer-aided detection software based on artificial intelligence (CAD-IA), combined with digital chest X-rays, has recently been touted as an easy solution to a complex problem: “ending tuberculosis by 2030”. …”
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A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance by Xiangjun Li, Yong Zhou, Ziyan Jin, Peng Yu, Shun Zhou

“…Experimental results show that the algorithm can effectively mitigate the impact of concept drift on classification and novel class detection.…”
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Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection by Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia

“…Apart from that, an ensemble learning algorithm is also employed to support and enhance the detection phase, providing a robust defense against the dynamic and sophisticated nature of modern P2P botnets. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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Fault Detection System of Photovoltaic Based on Artificial Neural Network by Ali Salman Zamzeer, Mansour S. Farhan, Haider TH. ALRikabi

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Fast moving table tennis ball tracking algorithm based on graph neural network by Tianjian Zou, Jiangning Wei, Bo Yu, Xinzhu Qiu, Hao Zhang, Xu Du, Jun Liu

“…In table tennis, due to the small size and rapid motion of the ball, identifying and tracking the table tennis ball through video is a particularly arduous task, where the majority of existing detection and tracking algorithms struggle to meet the practical application requirements in real-world scenarios. …”
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Development of a Discrete Algorithm for Interpreting Ground-Penetrating Radar Data in Vertically Heterogeneous Media by Kazizat Iskakov, Almaz Tatin, Natalya Glazyrina, Ainur Kussainova, Nurgul Uzakkyzy, Kakim Sagindykov

“…This included noise and interference filtering, as well as the initial estimation of the dielectric permittivity of detected layers. The resulting dataset was used to validate numerical algorithms for solving the forward and inverse problems of geolectrics. …”
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Automatic Segment Compensation Alignment Control Algorithm Based on Rail Head Wear by Wenxing WANG, Jiangping LUO, Dongfang ZHANG, Mengying HUANG, Mingming ZHAO

“…RSU (roller search unit) automatic alignment system which is based on laser profile measurement theory ensures that the RSU is always above the center of the rail, so that the ultrasonic can scan the rail normally and ensuring normal flaw detection. In order to solve the difficult problems of alignment control application, the automatic alignment control algorithm was improved and the automatic segment compensation method for alignment control benchmark based on rail head wear was proposed. …”
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Effective deployment strategies for optimizing area coverage in multistatic sonar detection based on Cassini oval approximation and a virtual force algorithm by Liufang Fu, Ming Zhou, Linzhou Xu, Xiaoming Dong, Zhu Kou, Chunyu Kang

“…An enhanced virtual force algorithm named Delaunay triangulation hole repair virtual force algorithm (DTHRVFA) is introduced to optimize the deployment positions of receivers as a heterogeneous nodes deployment problem. …”
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Real-time Detection and Tracking for Operating Vehicles in Complex Mining Environments by KANG Gaoqiang, LIN Jun, LIU Shiwang, YUE Wei, XIONG Qunfang, TONG Hao

“…Aiming at the problems of poor detection effect and low tracking stability of multi-type vehicles in complex mining environment due to the similarity of operating vehicles and background images, this paper proposes a multi-category and multi-target real-time detection and tracking algorithm for operating vehicles in complex mining environments. …”
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Lightweight DDoS Attack Detection Using Bayesian Space-Time Correlation by Gabriel Mendonca, Rosa M. M. Leao, Edmundo De Souza E. Silva, Don Towsley

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Efficient early-stage disease detection in pomegranate (Punica granatum) using convolutional neural networks optimized by honey badger optimization algorithm by Sameera P, Abhay A. Deshpande

“…This study presents a novel method for early-stage disease detection in pomegranate using a convolutional neural network (CNN) and honey badger optimization algorithm (HBOA). …”
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ALGORITHM OF SIGNAL PROCESSING IN THE RADAR SYSTEM WITH CONTINUOUS FREQUENCY MODULATED RADIATION FOR DETECTION OF SMALL-SIZED AERIAL OBJECTS, ESTIMATION OF THEIR RANGE AND VELOCITY by I. F. Kupryashkin, N. V. Sokolik

“…The proposed algorithm of radar signals processing enables to simplify the detection of such tar-gets. …”
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Density-Based Detection Rapid Exploration Random Tree for Multirobot Formation Cooperative Path Planning by Yuzhuo Shi, Yang Yang, Jinjun Liu, Kun Hao, Jiale Zhao, Haoyi Chai

“…First, on the basis of the rapidly exploring random tree (RRT), a density detection rapidly exploring random tree (DDRRT) algorithm is designed to avoid repeated exploration of by the RRT, to quickly generate a global path from the starting point to the destination for the leader robot, and to propose a rope shrinkage path optimization mechanism for path optimization. …”
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Precision Measurement and Feature Selection in Medical Diagnostics using Hybrid Genetic Algorithm and Support Vector Machine by Gowri Subadra K, Sathish Babu P

“…This study introduces a hybrid feature selection method based on genetic algorithm (GA) and Bucket of Models (BoM) approach to improve breast cancer detection and classification. …”
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Technology of automated video observation of a drogue-sensor basket in the problem of autonomous aerial refueling by A. V. Gaidenkov, M. I. Kanevskiy, A. S. Ostrovskiy, O. I. Ganyak, N. Yu. Chizhov

“…The paper proposes a technology for automated video-based observation (VBO) of a drogue-sensor in the problem of aerial refueling. The technology is based on the use of a passive optoelectronic system and incorporates the logic of automated refueling observation of a refueling process using algorithms for the automatic detection and tracking of a drogue-sensor, a methodical apparatus for suboptimal linear filtering of the observed process under the conditions of spatial and temporary non-stationarity of the refueling process, algorithms for automatic correlation detection and tracking of a drogue-sensor using suboptimal filtering. …”
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D³-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario by Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang

“…However, under the facility scenario, existing detection algorithms still have challenging problems such as weak feature extraction ability for occlusion conditions and different fruit sizes, low accuracy on edge location, and heavy model parameters. …”
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Multipopulation Whale Optimization-Based Feature Selection Algorithm and Its Application in Human Fall Detection Using Inertial Measurement Unit Sensors by Haolin Cao, Bingshuo Yan, Lin Dong, Xianfeng Yuan

“…In addition, the proposed method is utilized to perform feature selection in human fall-detection tasks, and extensive real experimental results further illustrate the superior ability of the proposed method in addressing practical problems.…”
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