Advertisement Synthesis Network for Automatic Advertisement Image Synthesis by Qin Wu, Peizi Zhou

“…However, the existing algorithms cannot synthesise consistent-looking advertisement images for a given product. …”
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The analysis of conditions for preservation of gain-frequency and phase-frequency characteristics optimality under analog and digital filters transformation by A. V. Smirnov

“…Transfer functions of these filters may be found by means of heuristic optimization algorithms. This method will be efficient if the frequency transformation preserves the optimality of filters. …”
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Artificial Intelligence and Inequality: A Legal Aspect by A. I. Rybin, E. O. Chashhukhin

“…It has been demonstrated that the primary cause of the emergence of social disparity in the realm of AI is not a dearth of ethical tenets in AI-driven algorithms, but rather a lack of adequate formalization of these ethical principles themselves into machine-readable language. …”
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Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study by Xiangkui Jiang, Bingquan Wang

“…Subsequently, we constructed 6 predictive models using different algorithms: logistic regression, support vector machine, gradient boosting machine, Extreme Gradient Boosting, multilayer perception, and graph convolutional networks. …”
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Development of Optimal Tilt Angle Models of a Photovoltaic Module for Maximum Power Production: Ethiopia by Ahunim Abebe Ashetehe, Belachew Bantyirga Gessesse, Fekadu Shewarega

“…The monthly average daily global horizontal solar radiation for a total of 44 cities -32 for training and 12 for testing were obtained from the National Aeronautical and Space Administration database, and algorithms were developed and implemented using MATLAB and R programming software to obtain optimum tilt angle and regression models. …”
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Adaptive Neural Network Control for Industrial Optical Tweezers With Uncertain Closed Architecture by Gulam Dastagir Khan, Ibrahim Al-Naimi

“…This creates a disconnect between advanced control algorithms and practical industrial needs. To tackle these challenges, we propose a novel approach utilizing adaptive neural network-based control methodology. …”
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A parallel CNN architecture for sport activity recognition based on minimal movement data by Huipeng Zhao

“…Abstract Novel Human Activity Recognition (HAR) methodologies, which are built upon learning algorithms and employ ubiquitous sensors, have achieved remarkable precision in the identification of sports activities. …”
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A multidimensional momentum chain model for tennis matches based on difference equations. by Jingya Wang, Sihang Guo, Yuanyun Zhou

“…In this paper, taking the 7,284 scoring points in the men's singles tennis match at Wimbledon 2023 as an example, we expand upon traditional momentum research by integrating diverse algorithms, including statistical analysis and linear weighting, to construct a multidimensional momentum chain model predicated on difference equations, which aims to quantify the momentum dynamics for athletes in a match. …”
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Experimental Investigations on the Dynamic Behaviour of O-Type Wire-Cable Vibration Isolators by Hong-Xia Wang, Xian-Sheng Gong, Fei Pan, Xue-Jiang Dang

“…The parameters of this model were identified through an identification procedure that does not involve any nonlinear iterative algorithms. Comparison between the identification results and the experimental data suggests that the identification method is effective. …”
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Testing the Wind Energy Data Based on Environmental Factors Predicted by Machine Learning with Analysis of Variance by Yasemin Ayaz Atalan, Abdulkadir Atalan

“…In the first stage, machine learning algorithms, including random forest (RF), gradient boosting (GB), k-nearest neighbors (kNNs), linear regression (LR), and decision trees (Tree), were employed to estimate energy output. …”
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Recent progress in the security evaluation of multivariate public‐key cryptography by Yasuhiko Ikematsu, Shuhei Nakamura, Tsuyoshi Takagi

“…In this paper, the authors first explain efficient algorithms for solving the MQ problem and the research methodology for estimating their complexity in MPKC. …”
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Affective economies of racism on social media by Rodwell Makombe, Bright Sinyonce, Mpitseng Tladi, Saneliso Thambo

“…The internet in general and social networks in particular are based on a libertarian logic that emphasises freedom of speech at the expense of the rights of minorities whose views may not meet the required algorithmic thresholds of specific social media sites. …”
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A Decision-Making Framework for University Student Sports Study Psychological Healthy Evaluation with 2-Tuple Linguistic Neutrosophic Numbers by Xiaoping Yang, Wensheng Shi

“…The results show that the built algorithms method is really useful for university student sports study psychological healthy evaluation.…”
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Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022 by Matti Kummu, Maria Kosonen, Sina Masoumzadeh Sayyar

“…Downscaling with machine learning algorithms showed high performance (R2 = 0.79 for cross-validation, R2 = 0.80 for the test dataset) and accuracy against reported datasets (Pearson R = 0.88). …”
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Identification of the Immune Cell Infiltration Landscape in Head and Neck Squamous Cell Carcinoma (HNSC) for the Exploration of Immunotherapy and Prognosis by Chunli Huang, Jifeng Liu

“…In this work, we proposed computational algorithms to identify different immune subtypes. An analysis of the Cancer Genome Atlas (TCGA) database revealed gene expression profiles and corresponding clinical information. …”
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A hybrid attention multi-scale fusion network for real-time semantic segmentation by Baofeng Ye, Renzheng Xue, Qianlong Wu

“…However, currently, most algorithms focus on acquiring semantic information and lose a significant amount of spatial information, leading to a significant decrease in accuracy despite improving real-time inference speed. …”
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Analysis Of Themes and Trends in Life Sciences and Biomedical Research Virtual Reality by Supriadi Sahibu, Mulawarman Munsyir, Hamdan Gani, Imran Taufik, Akbar Iskandar

“…The purpose of this study was to investigate the theme of the abstract, the theme of the Title on Virtual Reality in the Sciences and Biomedical Sciences and to investigate the trends of authors and countries who are major contributors to research on virtual reality in the sciences and biomedical sciences, the researchers used metadata from 497 journals. scientifically indexed with topic modeling algorithms. The results of the study found that for virtual reality themes listed in the abstracts of science and biomedical fields, the words that often appear were study and systems related to pediatric surgery, stroke and cancer. …”
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Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review by Abhishek Sachan, Mickaël Castro, Jean-François Feller

“…A focus will be made on the protocols for the collection of organic volatile compounds (VOC) from the body, the choice of vapour sensors assembled into an array (e-nose), in particular, chemo-resistive vapour sensors, their principle, fabrication and characteristics, and the way to extract pertinent features and analyse them with suitable algorithms that are able to find and produce a health diagnosis.…”
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An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas by S. J. Sugumar, R. Jayaparvathy

“…The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms. A GSM message is sent to the forest officials indicating that an elephant has been detected in the forest border and is approaching human habitat. …”
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Interferometric Dynamic Measurement: Techniques Based on High-Speed Imaging or a Single Photodetector by Yu Fu, Giancarlo Pedrini, Xide Li

“…For the camera-based interferometry, the discussion includes the introduction of the carrier, the processing of the recorded images, the phase extraction algorithms in various domains, and how to increase the temporal measurement range by using multiwavelength techniques. …”
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