Application of convolutional neural networks in the intelligence security system subsystem by V. S. Demeshko, A. I. Фёдоров

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A multi-source image fusion algorithm for typical electrical equipment with dual-branch network structure by NIE Qixin, XIAO Zhiyun, BAO Tengfei, JIN Xu, GAO Wenqiang, GUO Hao

“…After comparing with various methods, the method in the paper verifies the advancement of the algorithm in terms of subjective visual evaluation and objective image fusion evaluation indices, in which the objective evaluation indices QMI, SSIM and FMIpixel are 0.567 26, 0.593 47 and 0.887 60, respectively, reaching the highest value, which proves that the quality of fused images is improved and applicable to multi-source electrical equipment image fusion.…”
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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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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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A Comparative Study of Deep Reinforcement Learning Algorithms for Urban Autonomous Driving: Addressing the Geographic and Regulatory Challenges in CARLA by Yechan Park, Woomin Jun, Sungjin Lee

“…To evaluate the adaptability of each algorithm to geographical variability and complex traffic laws, scenario-specific reward and penalty functions were carefully designed and incorporated. …”
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Machine learning approach for water quality predictions based on multispectral satellite imageries by Vicky Anand, Bakimchandra Oinam, Silke Wieprecht

“…This study represents the first attempt to demonstrate the applicability and performance of high-spatial resolution ResourceSat-2 remote sensing satellite's LISS-4 sensor, which operates in three spectral bands in the Visible and Near Infrared Region (VNIR), to predict water quality. …”
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Rapid Quality Assessment of Polygoni Multiflori Radix Based on Near-Infrared Spectroscopy by Bin Jia, Ziying Mai, Chaoqun Xiang, Qiwen Chen, Min Cheng, Longkai Zhang, Xue Xiao

“…The precise and prompt determination of quality control indicators such as moisture, stilbene glycosides, and anthraquinone glycosides is crucial in assessing the quality of Polygoni Multiflori Radix. …”
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COMPARATIVE ANALYSIS OF CLASSIFICATION MODELS FOR DETERMINING THE QUALITY OF WINE BY ITS CHEMICAL COMPOSITION by Vladimir S. Repkin, Artemy V. Li, Grigory Yu. Semenov, Nikita I. Sermavkin, Alexander S. Kovalenko, Nikolai S. Egoshin

“…Objects: classification models, including the support vector machine, decision tree, random forest algorithm, neural network, multiple regression and their application for automated wine quality assessment. …”
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Comparative Analysis of Machine Learning Techniques for Prediction of the Compressive Strength of Field Concrete by Omobolaji Opafola, Abisola Olayiwola, Ositola Osifeko, Adekunle David, Ajibola Oyedejı

“…The GB model trained and evaluated was deployed to a web application using Streamlit for real-time prediction of the concrete compressive strength. …”
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Machine Learning Applications in Use-Wear Analysis: A Critical Review by Anastasia Eleftheriadou, Shannon P. McPherron, João Marreiros

“…The main aim of this literature review is to provide recommendations for the more effective application of ML in use-wear analysis and archaeological research, by identifying trends, research gaps, and evaluating the quality of the models developed. …”
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Performance Evaluation of Data Compression Systems Applied to Satellite Imagery by Lilian N. Faria, Leila M. G. Fonseca, Max H. M. Costa

“…This paper presents an overview and evaluation of some compression algorithms suitable for remote sensing applications. …”
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Optimizing the compliance third-party supervision workflow of involved enterprises using artificial intelligence ant colony algorithm by Danqi Chen, Weichen Jia, Qi Chen, Jianing Chen, Zhi Li

“…The experiments were evaluated from four aspects: data quality, model performance, scheme effectiveness, and supervision effectiveness. …”
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Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography by Jia Song, Haiwei Zhang, Yi Lyu, Hao Wu, Fei Zhang, Xu Ma, Bin Yong

“…This study establishes a systematic framework for evaluating precipitation retrieval advancements, providing critical insights for future satellite algorithm development and operational applications in hydrometeorological monitoring.…”
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A systematic review of natural language processing applications in Trauma & Orthopaedics by Luke Farrow, Arslan Raja, Mingjun Zhong, Lesley Anderson

“…Code and data availability were also poorly documented in most studies. Conclusion: Application of NLP is becoming increasingly common in T&O; however, published article quality is mixed, with few high-quality studies. …”
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Application of Structure Tensor-Based Image Fusion Method in Marine Exploration by Xiaoyi MA, Yihong CHEN, Fei WANG, Shuo XIE

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Review of iris segmentation and recognition using deep learning to improve biometric application by Rasheed Hind Hameed, Shamini Sara Swathy, Mahmoud Moamin A., Alomari Mohammad Ahmed

“…Besides, that DL in iris detection requires large training datasets and is challenging to use with noisy or low-quality photos. In addition, it examines DL for iris segmentation and identification efforts to improve biometric application understanding. …”
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The Lightweight Fracture Segmentation Algorithm for Logging Images Based on Fully 3D Attention Mechanism and Deformable Convolution by Qishun Yang, Liyan Zhang, Zihan Xi, Yu Qian, Ang Li

“…Experimental results demonstrate that SWSDS-Net achieves optimal performance across all evaluation metrics in this task, delivering superior visual results in fracture segmentation while successfully overcoming limitations present in existing algorithms such as complex shapes, noise interference, and low-quality images. …”
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Deep learning network for NMR spectra reconstruction in time-frequency domain and quality assessment by Yao Luo, Wenhan Chen, Zhenhua Su, Xiaoqi Shi, Jie Luo, Xiaobo Qu, Zhong Chen, Yanqin Lin

“…The metric is capable of evaluating the quality of reconstructed NMR spectra without the fully sampled spectra, making it more suitable for practical applications.…”
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Artificial Intelligence in Advancing Algal Bioactive Ingredients: Production, Characterization, and Application by Bingbing Guo, Xingyu Lu, Xiaoyu Jiang, Xiao-Li Shen, Zihao Wei, Yifeng Zhang

“…However, the commercial utilization of algal bioactives still faces challenges, such as low cultivation efficiency, limited component identification, and insufficient health evaluation. Artificial intelligence (AI) has recently emerged as a transformative tool to overcome these technological barriers in the production, characterization, and application of algal bioactive ingredients. …”
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