BED-YOLO: An Enhanced YOLOv10n-Based Tomato Leaf Disease Detection Algorithm by Qing Wang, Ning Yan, Yasen Qin, Xuedong Zhang, Xu Li

“…In recent years, object detection algorithms have gained widespread application in tomato disease detection due to their efficiency and accuracy, providing reliable technical support for crop disease identification. …”
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Big Data Market Optimization Pricing Model Based on Data Quality by Jian Yang, Chongchong Zhao, Chunxiao Xing

“…The experimental results in real data sets have shown the applicability of the proposed quality utility function. …”
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Chinese Story Generation Based on Style Control of Transformer Model and Content Evaluation Method by Jhe-Wei Lin, Tang-Wei Su, Che-Cheng Chang

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Clustering of ECG Signals Based on Fuzzy Neural Network with Initial Weights Generated by Genetic Algorithm by Elaheh Sayari, Mahdi Yaghoobi

“…In this regard, neural network and fuzzy logic have been used in many application areas while each of them has advantages and disadvantages. …”
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Machine learning applications in river research: Trends, opportunities and challenges by Long Ho, Peter Goethals

“…In contrast, river researchers have had few applications in multiclass and multilabel algorithm, associate rule and Naïve Bayes. …”
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Numerical Investigation on Influential Factors for Quality of Smooth Blasting in Rock Tunnels by Baoping Zou, Zhipeng Xu, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…As prerequisite for the evaluation of the blasting quality, effective identification of the influential factors affecting smooth blasting usually plays a significant role in the improvement of smooth blasting design. …”
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Perceptual objective evaluation for multimodal medical image fusion by Chuangeng Tian, Juyuan Zhang, Lu Tang

“…Multimodal medical Image fusion (MMIF) has received widespread attention due to its promising application in clinical diagnostics and treatment. Due to the inherent limitations of fusion algorithms, the quality of obtained medical fused images (MFI) varies significantly. …”
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NiaAutoARM: Automated Framework for Constructing and Evaluating Association Rule Mining Pipelines by Uroš Mlakar, Iztok Fister, Iztok Fister

“…Extensive experimental evaluation on ten benchmark datasets demonstrated that NiaAutoARM consistently identifies high-quality pipelines, improving both rule accuracy and interpretability compared to baseline configurations. …”
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Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…Its integration into neurosurgical education, given the field’s complexity and precision demands, warrants comprehensive exploration. To systematically evaluate AI applications in neurosurgical education, we conducted a scoping review adhering to PRISMA-ScR guidelines. …”
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CODC-S: A quality-controlled global ocean salinity profiles dataset by Zhetao Tan, Yujing Zhu, Lijing Cheng, Viktor Gouretski, Yuying Pan, Huifeng Yuan, Zhankun Wang, Guancheng Li, Xinyi Song, Bin Zhang, Senliang Bao, Yuanlong Li, Jiang Zhu

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Spatiotemporal assessment of ecological quality and driving mechanisms in the Beijing metropolitan area by Aibo Jin, Hui Li, Xiangrong Wang, Ziyao Wang

“…Ecological quality is quantitatively evaluated using the Remote Sensing Ecological Index (RSEI), leveraging MODIS imagery, climate data, land use patterns, and soil characteristics. …”
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Riemannian Manifolds for Biological Imaging Applications Based on Unsupervised Learning by Ilya Larin, Alexander Karabelsky

“…In particular, the clustering of single cells is of great interest. This study will evaluate the feasibility of using latent representation and clustering of single cells in various applications in the fields of medicine and biotechnology. …”
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Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics. by Lisa M Breckels, Sean B Holden, David Wojnar, Claire M Mulvey, Andy Christoforou, Arnoud Groen, Matthew W B Trotter, Oliver Kohlbacher, Kathryn S Lilley, Laurent Gatto

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Application of a Hybrid Model for Data Analysis in Hydroponic Systems by Kuanysh Bakirov, Jamalbek Tussupov, Akhmet Tussupov, Ibraheem Shayea, Aruzhan Shoman

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A Comprehensive Review on Sensor-Based Electronic Nose for Food Quality and Safety by Teodora Sanislav, George D. Mois, Sherali Zeadally, Silviu Folea, Tudor C. Radoni, Ebtesam A. Al-Suhaimi

“…Our review found that most of the efforts use portable, low-cost electronic noses, coupled with pattern recognition algorithms, for evaluating the quality levels in certain well-defined food classes, reaching accuracies exceeding 90% in most cases. …”
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Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment by Wesam Khan

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Improved optimization based on parrot’s chaotic optimizer for solving complex problems in engineering and medical image segmentation by Adil Sayyouri, Ahmed Bencherqui, Hanaa Mansouri, Hicham Karmouni, Hassane Moustabchir, Mhamed Sayyouri, Abderrahim Bourkane, Abdeljabbar Cherkaoui, S. S. Askar, Mohamed Abouhawwash

“…The results show that CPO outperforms not only the original PO algorithm, but also six recent metaheuristics in terms of convergence speed and solution quality. …”
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Detail-preserving denoising of CT and MRI images via adaptive clustering and non-local means algorithm by Mohit Sharma, Ayush Dogra, Bhawna Goyal, Anita Gupta, Manob Jyoti Saikia

“…Experimental evaluations on CT and MRI datasets demonstrate that the proposed method achieves superior denoising performance while maintaining high structural similarity and perceptual quality compared to existing state-of-the-art approaches. …”
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Advancing truss structure optimization—A multi-objective weighted average algorithm with enhanced convergence and diversity by Divya Adalja, Kanak Kalita, Lenka Čepová, Pinank Patel, Nikunj Mashru, Pradeep Jangir, Arpita

“…The Multi-Objective Weighted Average Algorithm (MOWAA) presents a new methodology which employs adaptive weighted average position control to optimize population movement for enhanced solution quality. …”
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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

“…Software defect detection is a critical research topic in the field of software engineering, aiming to identify potential defects during the development process to improve software quality and reduce maintenance costs. This study proposes a novel feature selection and defect prediction classification algorithm based on a multi-strategy enhanced Parrot Optimization (PO) algorithm. …”
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