BCSM-YOLO: An Improved Product Package Recognition Algorithm for Automated Retail Stores Based on YOLOv11 by Pingqing Hou, Shaoze Huang

“…Robustness tests confirm its strong anti-interference ability, demonstrating its effectiveness for detection and identification of supermarket goods.…”
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Research on Ground Point Cloud Segmentation Algorithm Based on Local Density Plane Fitting in Road Scene by Tao Wang, Yiming Fu, Zhi Zhang, Xing Cheng, Lin Li, Zhenxue He, Haonan Wang, Kexin Gong

“…Then, candidate sample selection and plane validity detection are carried out for each region. The modified classical DBSCAN clustering algorithm is used to obtain effective fitting planes and perform clustering according to the fitting planes. …”
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A proposed algorithm for early autism screening in Polish primary care settings – a pilot study by Patryk Domarecki, Katarzyna Plata-Nazar, Wojciech Nazar

“…Abstract Background The rising rate of autism spectrum disorder (ASD) prevalence worldwide demands new screening algorithms to make the process of diagnosis more effective. …”
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Benthos-DETR: a high-precision efficient network for benthic organisms detection by Weibo Rao, Gang Chen, Yifei Zhang, Jue Cang, Shusen Chen, Chenyang Wang

“…Through a series of experimental analyses, it was evident that the performance of the Benthos-DETR network surpasses existing target detection algorithms, achieving an optimal equilibrium between high recognition precision and a trim network scale.…”
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Improved YOLOv8 Algorithm was Used to Segment Cucumber Seedlings Under Complex Artificial Light Conditions by Duokuo Zhang, Na Li, Mingfu Zhao, Kun Xu

“…The effectiveness and superiority of this approach are validated through comparisons with other widely used segmentation detection algorithms.…”
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An Algorithm for the Shape-Based Distance of Microseismic Time Series Waveforms and Its Application in Clustering Mining Events by Hao Luo, Ziyu Liu, Song Ge, Linlin Ding, Li Zhang

“…To improve the efficiency and accuracy of microseismic event extraction from time-series data and enhance the detection of anomalous events, this paper proposes a Multi-scale Fusion Convolution and Dilated Convolution Autoencoder (MDCAE) combined with a Constraint Shape-Based Distance algorithm incorporating volatility (CSBD-Vol). …”
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Learning unbiased risk prediction based algorithms in healthcare: A case study with primary care patients by Vibhuti Gupta, Julian Broughton, Ange Rukundo, Lubna J. Pinky

“…These advancements lead to faster disease detection, and management and provide personalized healthcare solutions. …”
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Improving brain tumor classification: An approach integrating pre-trained CNN models and machine learning algorithms by Mohamed R. Shoaib, Jun Zhao, Heba M. Emara, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel

“…Accurate detection of brain tumors is crucial for enhancing patient outcomes, yet the interpretation of Magnetic Resonance Imaging (MRI) scans poses significant challenges. …”
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Comparative Analysis of Fractals-Homogeneity-Entropy Algorithms Applied on a FEM Bridge Model to Identify Damage by Jose M. Machorro-Lopez, Martin Valtierra-Rodriguez, Jose T. Perez-Quiroz, Juan P. Amezquita-Sanchez

“…This study presents a systematic comparative analysis of multiple damage detection algorithms, including six different fractal dimensions (FDs), the homogeneity index (HI), and the Shannon entropy index (SEI). …”
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A design method of composite pixel-like antenna based on improved bald eagle search algorithm by WANG Yongqiang, LIU Bingqi, ZHU Bolin

“…This method not only retains the good convergence of the original algorithm, but also partially improves the global search ability. …”
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Multi-Task Water Quality Colorimetric Detection Method Based on Deep Learning by Shenlan Zhang, Shaojie Wu, Liqiang Chen, Pengxin Guo, Xincheng Jiang, Hongcheng Pan, Yuhong Li

“…Current research on colorimetric detection using deep learning algorithms predominantly focuses on single-target classification. …”
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A Model for Fat Content Detection in Walnuts Based on Near-Infrared Spectroscopy by Langqin Luo, Honghua Zhang, Yu Wang, Jianliang Zhang, Rui Zhang, Shan Gao, Yuanyong Dian, Zijin Bai, Chunhui Feng, Ze Zhang

“…Therefore, a technical framework for walnut kernel detection based on near-infrared spectroscopy and the technical standards for ‘Wen 185’ are urgently needed. …”
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A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy by Sebastian Dinesen, Marianne G. Schou, Christoffer V. Hedegaard, Yousif Subhi, Thiusius R. Savarimuthu, Tunde Peto, Jakob K. H. Andersen, Jakob Grauslund

“…Abstract Introduction Existing deep learning (DL) algorithms lack the capability to accurately identify patients in immediate need of treatment for proliferative diabetic retinopathy (PDR). …”
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DMFFNet: Dual-Mode Multiscale Feature Fusion-Based Pedestrian Detection Method by Ruizhe Hu, Ting Rui, Yan Ouyang, Jinkang Wang, Qunyan Jiang, Yinan Du

“…Most contemporary pedestrian detection algorithms are based on visible light image detection. …”
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A Robust Home Alone Faint Detection Based on Wireless Sensor Networks by Zhen-hai Wang, Bo Xu

“…This paper proposed a method to collect information about the behavior and position of faint event in the sensing environment. This method detects and tracks faint person by combining Kalman filter and Camshift tracking algorithm. …”
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Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks by Nabil Ali Alrajeh, J. Lloret

“…Artificial intelligence techniques are widely used for threats detection. This paper presents a critical study on genetic algorithm, artificial immune, and artificial neural network (ANN) based IDSs techniques used in wireless sensor network (WSN).…”
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High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms by Gabriela Nunes Lopes, Pedro I. N. Barbalho, Jose Carlos Melo Vieira, Denis V. Coury

“…Despite of the numerous papers addressing HIFs, there is still a lack of consensus on the most effective metrics and techniques for their detection and location. This article proposes a comprehensive analysis aiming to identify the adequate metrics for artificial intelligent algorithms to locate HIFs in a DS in the presence of DG. …”
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Advances in the Application of Intelligent Algorithms to the Optimization and Control of Hydrodynamic Noise: Improve Energy Efficiency and System Optimization by Maosen Xu, Bokai Fan, Renyong Lin, Rong Lin, Xian Wu, Shuihua Zheng, Yunqing Gu, Jiegang Mou

“…In recent years, intelligent algorithms represented by data-driven algorithms and heuristic algorithms have gradually emerged, showing great potential for development in hydrodynamic noise optimization applications. …”
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A Hybrid Approach to Reliable Jamming Identification in UAV Communications Using Combined DNNs and ML Algorithms by Hamed Farkhari, Joseanne Viana, Sarang Kahvazadeh, Pedro Sebastiao, Victor P. Gil Jimenez, Rui Dinis

“…Additionally, the effectiveness of these methods is demonstrated by applying them to simulated real-world scenarios to improve jamming detection reliability in UAV communications. The proposed algorithms’ impact is compared against baseline DNNs and DNNs augmented with the eXtreme Gradient Boosting (XGB) classifier, as well as the latest research to validate our approach. …”
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Semi-supervised dynamic community detection based on non-negative matrix factorization by Zhen-chao CHANG, Hong-chang CHEN, Rui-yang HUANG, Hong-tao YU, Yang LIU

“…How to effectively combine the network structures on different time points was the key and difficulty to affect the performance of detection algorithms. Based on this, a semi-supervised dynamic community algorithm SDCD based on non-negative matrix factorization, which effectively extracted the historical stability structure unit firstly, and then use it as a regularization item supervision of nonnegative matrix decomposition, to guide the network community detection on current moment. …”
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