Research of application of DFT-modulated filter bank in systems with significant spectral component amplification by N. S. Sanko, M. I. Vashkevich

“…Efficient algorithms for calculating the distortion and the aliasing functions are also offered. …”
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Magnetic resonance imaging of cruciate ligament disorders: current updates by Tanda Yang, Yexin Li, Longtao Yang, Qian Liu

“…Despite the transformative impact of advanced MRI techniques on the analytical and diagnostic algorithms related to cruciate ligament disorders, future efforts are warranted to address challenges such as economic burdens and ethical considerations.…”
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Improving earthquake prediction accuracy in Los Angeles with machine learning by Cemil Emre Yavas, Lei Chen, Christopher Kadlec, Yiming Ji

“…Among sixteen evaluated machine learning algorithms, Random Forest proved to be the most effective. …”
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Pavement performance model for road maintenance and repair planning: a review of predictive techniques by Krishna Singh Basnet, Jagat Kumar Shrestha, Rabindra Nath Shrestha

“…Machine learning algorithms, artificial neural networks, and regression models have been used, with strengths and weaknesses. …”
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Zero-Shot Learning for Accurate Project Duration Prediction in Crowdsourcing Software Development by Tahir Rashid, Inam Illahi, Qasim Umer, Muhammad Arfan Jaffar, Waheed Yousuf Ramay, Hanadi Hakami

“…Bidirectional Encoder Representations from Transformers (BERT) are employed to convert textual information into vectors, which are then analyzed using various machine learning algorithms. …”
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Deep Fusion of Skeleton Spatial–Temporal and Dynamic Information for Action Recognition by Song Gao, Dingzhuo Zhang, Zhaoming Tang, Hongyan Wang

“…Focusing on the issue of the low recognition rates achieved by traditional deep-information-based action recognition algorithms, an action recognition approach was developed based on skeleton spatial–temporal and dynamic features combined with a two-stream convolutional neural network (TS-CNN). …”
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Sound wave propagation problems new perturbation methodology by Jerzy Skrzypczyk, A. Winkler-Skalna

“…Perturbation ray tracing method is a technique based on geometrical optics with perturbation in parameters which can be an easily applied approximate method for estimating perturbation problems in acoustics. The developed algorithms use the new perturbation methodology where the perturbed images are used to produce 2D-field of illumination zones. …”
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Solving perfect matchings by frequency-grouped multi-photon events using a silicon chip by Pingyu Zhu, Qilin Zheng, Kun Wang, Miaomiao Yu, Gongyu Xia, Jiacheng Liu, Yong Liu, Zhihong Zhu, Ping Xu

“…Moreover, we demonstrate that the developed photonic system can enhance classical stochastic algorithms for solving nondeterministic-polynomial-time(NP) problems, such as the Boolean satisfiability problem and the densest subgraph. …”
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Artificial Intelligence in Uropathology by Katia Ramos Moreira Leite, Petronio Augusto de Souza Melo

“…The global population is currently at unprecedented levels, with an estimated 7.8 billion people inhabiting the planet. …”
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Retinal revelations: Seeing beyond the eye with artificial intelligence by John Davis Akkara

“…Additionally, AI can estimate age, sex, body composition, and other health parameters from eye images. …”
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Data-Driven Modeling and Enhancement of Surface Quality in Milling Based on Sound Signals by Paschalis Charalampous

“…Next, several AI algorithms were trained in order to classify these MFCCs into predefined surface roughness categories. …”
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The application of statistical methods to assess economic assets by D. V. Dianov

“…This applies to both Federal Legislation (Federal law № 135 «On valuation activities in the Russian Federation» dated 16.07.1998 in edition 05.07.2016) and the methodological documents and regulations of the estimated activities, in particular, the valuation activities’ standards. …”
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Computational Linguistics Applications in AI-Based Investment and Cost Structuring Models by Miralieva Dilafruz, Ramatov Jumaniyoz, Azimova Lola, Khusamiddinova Malika, Alimbaeva Shahlo, Omonova Laylo

“…Artificial intelligence is an influential technological paradigm that is quickly and comprehensively transforming financial decision-making systems worldwide. …”
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Automatic recognition and representation of text in the form of audio stream by L. V. Serebryanaya, I. E. Lasy

“…It consists of three components: a convolutional encoder, a convolutional decoder, and a transformer. The architecture of the software is designed. …”
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Diet Engine: A real-time food nutrition assistant system for personalized dietary guidance by Asim Moin Saad, Md. Raihanul Haque Rahi, Md. Manirul Islam, Gulam Rabbani

“…By seamlessly integrating advanced deep learning algorithms with user-centric features, this study underscores the transformative potential of Diet Engine in fostering healthier eating habits, raising nutritional awareness, and contributing to a global shift toward more informed and sustainable lifestyle choices.…”
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Non‐local low‐rank constraint‐based self‐consistent PMRI reconstruction using eigenvector maps by Jizhong Duan, Ting Pan, Yu Liu, Junfeng Wang

“…Abstract Eigenvector‐based SPIRiT (ESPIRiT) can estimate multiple sets of coil sensitivity maps from the calibration matrix constructed from the auto‐calibration data. …”
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Merging Multiple System Perspectives: The Key to Effective Inland Shipping Emission-Reduction Policy Design by Solange van der Werff, Fedor Baart, Mark van Koningsveld

“…In this study, we use a new scheme called “event table” to transform big data on vessel trajectories (AIS data) combined with energy-estimating algorithms into shipping-emission outcomes that can be evaluated from multiple perspectives. …”
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Bone tumor recognition strategy based on object region and context representation in medical decision-making system by Yueguang Liu, Jun Liu, Tingyi Dai, Fangfang Gou

“…The application of artificial intelligence in medical assistance has fundamentally transformed traditional, labor-intensive diagnostic methods, effectively alleviating the pressure on medical resources. …”
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Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning by Bagdaulet Kenzhaliyev, Timur Imankulov, Aksultan Mukhanbet, Sergey Kvyatkovskiy, Maral Dyussebekova, Nurdaulet Tasmurzayev

“…Five ML algorithms were evaluated, with Gradient Boosting and Support Vector Regression demonstrating superior performance in capturing complex, non-linear relationships. …”
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REST Network: An Ensemble Deep Learning Approach for EV Charging Load Forecasting in Artificial Port Supply Chains by Elham Abdullah Alghamdi, Monagi Hassan Alkinani, Abdulwahab Ali Almazroi, Mohammed Alqarni, Eman Ali Aldhahri, Nasir Ayub

“…Energy supply management, infrastructural readiness, and daily operations depend on these estimates. Traditional forecasting algorithms can fail to address logistics’ complicated, variable charge patterns and uneven data. …”
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