Critical Algorithmic Mediation: Rethinking Cultural Transmission and Education in the Age of Artificial Intelligence by Fulgencio Sánchez-Vera

“…This conceptual paper explores how artificial intelligence—particularly machine learning-based algorithmic systems—is reshaping cultural transmission and symbolic power in the digital age. …”
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Multi-scale Segformer: image segmentation algorithm for electric vehicles in fire accident by Mengqi Lei, Xin Wang

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Simrec: a similarity measure recommendation system for mixed data clustering algorithms by Abdoulaye Diop, Nabil El-Malki, Max Chevalier, André Péninou, Geoffrey Roman-Jimenez, Olivier Teste

“…Abstract Clustering algorithms play a pivotal role in data mining, offering powerful tools for uncovering hidden patterns and structures within datasets. …”
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Disease Detection in Tomato Fruit Using Deep Learning Algorithms: Comparative Analysis by Fatma Feyza Akyol, Ayhan İstanbullu, Faruk Özel

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Optimal mixture design for organic Rankine cycle using machine learning algorithm by Valerio Mariani, Saverio Ottaviano, Davide Scampamorte, Andrea De Pascale, Giulio Cazzoli, Lisa Branchini, Gian Marco Bianchi

“…The algorithm is applied to a case study to demonstrate its ability to define a low-GWP blend that can replace HFC-134a in a micro-scale ORC with recuperator, while maintaining and potentially enhancing performance. …”
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Unsustainable artificial intelligence and algorithmically facilitated emissions: The case for emissions-reduction-by-design by Jutta Haider, Malte Rödl, James White

“…This commentary discusses the role of increasingly artificial intelligence-infused big tech platforms in facilitating and normalising high-emission lifestyles and consumption practices. …”
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A rapid heuristic algorithm to solve the single individual haplotype assembly problem by Melina Bagher, Reza Karimzadeh, Mehran Jahed, Babak Hossein Khalaj

“…Due to the enormous bulk of the high-throughput sequencing data, algorithm speed plays a crucial role in the possibility of haplotype assembly in the human genome dimension. …”
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Improving the segmentation of the vertebrae using a multi-stage machine learning algorithm by Vladyslav Koniukhov

“…Task: train a neural network that will segment the incoming X-ray image and produce a mask of the area of four vertebrae at the output; train a neural network that will segment each vertebra in the area found at the previous stage; cut out a section with one vertebra and train a neural network that will segment it; create an algorithm that, based on three previously trained neural networks, will segment vertebrae on an X-ray image. …”
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Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment by Jung-Yoon Kim, Tripti Sharma, Brijesh Kumar, G. S. Tomar, Karan Berry, Won-Hyung Lee

“…Ant Colony Optimization (ACO) is being widely used in optimizing the network routing protocols. Ant Based Routing can play a significant role in the enhancement of network life time. …”
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YOLOv-MA: A High-Precision Foreign Object Detection Algorithm for Rice by Jiahui Wang, Mengdie Jiang, Tauseef Abbas, Hao Chen, Yuying Jiang

“…To efficiently and accurately detect small foreign objects in the rice processing pipeline, ensuring food quality and consumer safety, this study innovatively proposes a YOLOv-MA-based foreign object detection algorithm for rice, leveraging deep learning techniques. …”
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Optimizing firefighting resilience in airports through genetic algorithms and decision-making frameworks by Yulong Zhu, Wei Tian, Xuhong Jia, Quanyi Liu

“…Although the comprehensive evaluation model based on expert knowledge still focuses primarily on resistance, the criterion of adaptation capability has a more pronounced increasing trend in weight under correction, highlighting its significant role and potential in future airport firefighting resilience indicators. …”
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Estimating latent heat flux of subtropical forests using machine learning algorithms by Harekrushna Sahu, Pramit Kumar Deb Burman, Palingamoorthy Gnanamoorthy, Qinghai Song, Yiping Zhang, Huimin Wang, Yaoliang Chen, Shusen Wang

“…By harnessing diverse datasets, we employ various machine learning regression algorithms. We find the support vector regression superior to linear, lasso, random forest, adaptive boosting and gradient boosting algorithms. …”
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Design and Application of Algorithm Intensive Environment for CMA Big Data and Cloud Platform by Huo Qing, He Wenchun, He Lin, Gao Feng, Chen Shiwang, Xu Yongjun

“…At the same time, based on the meteorological business comprehensive monitoring system (referred to as Tianjing) enables automatic collection of algorithm operation status and detection of abnormal alarms. …”
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Improving the Processing Algorithm of Beijing MST Radar Power Spectral Density Data by Chen Ze, Tian Yufang, Lü Daren

“…Results show that the noise level estimation can be fast and accurate using the log-linear fitting scheme. Based on the property that atmospheric signals have spatio-temporal consistency and diffident signals show different spectral characteristics, the target signal can be accurately identified and extracted by the improved algorithms. …”
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Short-Term Electricity Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Improved Sparrow Search Algorithm–Convolutional Neural Netwo... by Han Qiu, Rong Hu, Jiaqing Chen, Zihao Yuan

“…Accurate power load forecasting plays an important role in smart grid analysis. To improve the accuracy of forecasting through the three-level “decomposition–optimization–prediction” innovation, this study proposes a prediction model that integrates complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), the improved sparrow search algorithm (ISSA), a convolutional neural network (CNN), and bidirectional long short-term memory (BiLSTM). …”
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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…The traditional statistical learning algorithm builds a prediction model based on historical data mining and analysis, which has certain advantages in dealing with linear problems and regular data. …”
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The Role of Pharmacometrics in Advancing the Therapies for Autoimmune Diseases by Artur Świerczek, Dominika Batko, Elżbieta Wyska

“…The aim of this review is to explore the diverse roles that pharmacometrics has played in addressing the challenges associated with DDD and personalized therapies in the treatment of AIDs. …”
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Cognitive disparity in online rumor perception: a group analysis during COVID-19 by Chao Shen, Pengyu He, Zhenyu Song, Yimeng Zhang

“…Twelve characteristics were observed in netizen groups during the dissemination of rumors on different themes, and these groups were classified into four categories: knowledge-oriented, competition-oriented, social-oriented, and entertainment-oriented, based on their cognitive differences. Conclusions Throughout the lifecycle of online rumors, from inception to dissemination, diverse netizen groups assume distinct roles, each exerting a unique influence on the spread and reception of information. …”
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Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Alg... by Henan Liu, Sijia Ma, Ni Liang, Xin Wang

“…In addition to performance fluctuations with varying regression algorithms, the output for feature extraction method also played a vital role in ultimate prediction performance.…”
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Integrating Machine Learning Algorithms to Construct a Triaptosis-Related Prognostic Model in Melanoma by Xie J, Zhang M, Qi M

“…The TCGA-SKCM cohort served as the training dataset, and GEO datasets were used for validation.Results: A robust prognostic model based on triaptosis-associated signature (TAS) was established using the SurvivalSVM algorithm. …”
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