NIRS identification of cashmere and wool fibers based on spare representation and improved AdaBoost algorithm by Zhu Yaolin, Li Zheng, Chen Xin, Chen Jinni, Zhang Hongsong

“…It uses NIR spectroscopy combined with chemometrics. The chemometrics model mainly uses sparse representation and an improved AdaBoost classifier. …”
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Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

“…To this end, an improved YOLOv8 algorithm (YOLOv8-CBW3) is proposed. …”
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Improved Algorithm to Estimate All-Sky Shortwave Net Radiation Based on Top-of-Atmosphere Albedo by Gaofeng Wang, Tianxing Wang, Wanchun Leng, Pei Yu, Xuewei Yan

“…For AOD values below 0.7, the improved algorithm maintains its superior accuracy. …”
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SMART HYBRID MODELS FOR IMPROVED BREAST CANCER DETECTION by Nageswara Rao Gali, Panduranga Vital Terlapu, Yasaswini Mandavakuriti, Sai Manoj Somu, Madhavi Varanasi, Vijay Telugu, Maheswara Rao V V R

“…Our approach is a hybrid Convolutional Neural Network (CNN) model, which performs better than other experimental and existing models. …”
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Credit Rating Model Based on Improved TabNet by Shijie Wang, Xueyong Zhang

“…This manuscript proposes an enhanced credit rating model based on an improved TabNet framework. First, the Kaggle “Give Me Some Credit” dataset undergoes preprocessing, including data balancing and partitioning into training, testing, and validation sets. …”
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Improved Soybean Mapping with Spectral Gaussian Mixture Modeling by Guilong Xiao, Kaiqi Du, Shuangxi Miao, Xuecao Li, Anne Gobin, Tiecheng Bai, Miao Zhang, Bingfang Wu, Jianxi Huang

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An Improved Apriori Algorithm Based on an Evolution-Communication Tissue-Like P System with Promoters and Inhibitors by Xiyu Liu, Yuzhen Zhao, Minghe Sun

“…The results give some hints to improve conventional algorithms by using membrane computing models.…”
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An Improved Optimal Linear Weighted Cooperative Spectrum Sensing Algorithm for Cognitive Radio Sensor Networks by Yonghua Wang, Yuehong Li, Jian Yang, Pin Wan, Qinruo Wang

“…Through mathematical modeling, the spectrum sensing problem is ultimately converted into a constrained nonconvex optimization problem, and the chaotic harmony search (CHS) algorithm is to be used to find the optimal weighting vector value. …”
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Research on Improved Bridge Surface Disease Detection Algorithm Based on YOLOv7-Tiny-DBB by Haichao An, Ying Fan, Zhuobin Jiao, Meiqin Liu

“…The results indicate that, compared to the YOLOv7-Tiny algorithm, the improved algorithm achieves an increase of 4.2% in precision, 6.5% in recall, 5.4% in F1 score, and 7.3% in mean Average Precision (mAP). …”
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Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network by Xinyue Du, Ke Cheng, Jin Zhang, Yuanyu Wang, Fan Yang, Wei Zhou, Yu Lin

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Intelligent Teaching Recommendation Model for Practical Discussion Course of Higher Education Based on Naive Bayes Machine Learning and Improved <i>k</i>-NN Data Mining Algorithm by Xiao Zhou, Ling Guo, Rui Li, Ling Liu, Juan Pan

“…Based on the encoding tree model, an improved <i>k</i>-NN algorithm recommendation model is established to match the student group interests and recommend discussion topics. …”
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The Path Tracking Control of Unmanned Surface Vehicles Based on an Improved Non-Dominated Sorting Genetic Algorithm II-Based Multi-Objective Nonlinear Model Predictive Control Method by Yunzhe Guo, Qidan Zhu, Jinyou Mou

“…This paper proposes a multi-objective nonlinear model predictive control (MOMPC) method based on an improved non-dominated sorting genetic algorithm II (NSGAII) for the path tracking problem of unmanned surface vehicles (USVs). …”
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Analytical MPC Algorithm Using Steady-State Process Model by Piotr M. Marusak

“…To improve the MPC algorithm operation, one can use a steady-state process model; this paper describes how to do this skillfully. …”
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Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model by Yiqing Yang, Guoyin Zhang, Yanxia Wu, Zhixiang Zhao, Yan Fu

“…Additionally, the Top-K algorithm optimizes the diagnostic model through a policy network loss function, effectively reducing the number of symptoms and diseases processed and improving the system’s response speed by 1.3–1.9 times compared to the state-of-the-art differential diagnosis systems.…”
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Generative LOD algorithm based on space–time grid model by Huangchuang Zhang, Ge Li

“…Based on this, this paper proposes generative levels of detail (LOD) algorithm based on space–time grid model. Taking the space–time grid model as the space–time guiding framework, different levels of regions are divided according to the distance and viewpoint of the camera, and then the culling operation is performed, and then the appropriate level of detail and corresponding sampling method are dynamically selected for rendering to achieve lightweighting of the CIM. …”
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Intelligent recommendation algorithm for piano tracks based on the CNN model by Zhang Qi

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Using Adaptive Object Model to Basketball Tracking Algorithm and Simulation by Tongjin Qian, Peng Yao, Mei Guo, Dong Wang, Yuan Yao

“…First, the core idea of the adaptive object model is explained; then, the five modes of establishing the metamodel in the adaptive object model architecture, the model engine, and supporting tools are analyzed; and the basketball tracking algorithm of the adaptive object model is discussed. …”
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Cross-Domain Recommendation Algorithm Based on Latent Factor Model by Sheng Gao, Siting Ren, Jun Guo

“…In the internet environment，the combining of multi-source heterogeneous information objects in different areas makes users face information selection dilemma problem in big data environment.It has been very difficulty for traditional information recommendation algorithms to adapt to the interdisciplinary information recommendation service.The evaluation model from a user clustering set to an information object clustering set has common characteristics of cross-domain and personality characteristics of single domain.By analyzing the evaluation data from users to information objects in different areas，these characteristics were extracted based on latent factor model.Then by transmitting and sharing the common characteristics of cross-domain，the data sparseness problem of target field was alleviated，which could improve the accuracy of cross-domain information recommendation.…”
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A Stock Prediction Model Based on Cart and Boosting Algorithm by WANG Yu, CHEN De-yun, TANG Yuan-xin

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Application of Hybrid Algorithm with Large Data in Wind Farm Modeling by GUO Min, ZHAO Qiao-e, GAO Jin-cheng, ZHOU Bin-long

“…The real operation data of large-scale wind farm are analyzed and modeled by using the optimized particle swarm K-means hybrid clustering algorithm. …”
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