The algorithmic dance: YouTube’s Adpocalypse and the gatekeeping of cultural content on digital platforms by Sangeet Kumar

“…These changes in turn have caused significant discontent within the creator community while also gradually transforming the predominant nature of content on the platform. …”
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Biological Image Processing Algorithm Based on Attention Mechanism and Convolutional Neural Network by Lisong Ou

“…This paper proposes a model algorithm based on convolutional neural network combined with attention mechanism to realize fast and accurate identification of biological image. …”
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Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley by S. E. Alavi, I. N. Petrenko

“…The paper describes a methodology based on the genetic algorithm that permits to automate the process for obtaining optimum rule bases while applying a controller based on a fuzzy logic. …”
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Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation by Mustafa Khanbhai, Catalina Carenzo, Sarindi Aryasinghe, David Manton, Erik Mayer

“…Technical infrastructure, including coding environments and packages for algorithm testing and deployment, was optimized. The algorithm was iteratively trained using bag of words from anonymized data, tailored to accommodate contextual variations, and tested for change in algorithm performance while simultaneously rectifying issues identified. …”
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YOLO-DLHS-P: A Lightweight Behavior Recognition Algorithm for Captive Pigs by Changhua Zhong, Hao Wu, Junzhuo Jiang, Chaowen Zheng, Hong Song

“…Firstly, the C2f-DRB structure is introduced at the Backbone position, and the sizeable convolutional kernel is used to extend the receptive field to enhance the spatial perception ability of the model, and to enhance the network’s ability to capture spatial information while maintaining the number of learnable parameters and computational efficiency; The LSKA attention mechanism is then introduced to be integrated into the SPPF module to construct the SPPF-LSKA structure, which significantly improves the ability of the SPPF module to aggregate features at multiple scales; Then, the downsampling at the Neck position is optimised to the HWD algorithm, which reduces the spatial resolution of the feature map while retaining more useful information and reduces the uncertainty of the information compared with the downsampling method of the baseline model; finally, the Shape-IoU is used to replace the original CIoU, which significantly improves the detection efficiency and accuracy of the model without increasing the extra computational burden. …”
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Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review by Zhenli Chen, Jie Hao, Haixia Sun, Min Li, Yuan Zhang, Qing Qian

“…Methods A systematic search was conducted in PubMed and Web of Science for studies published up to December 2024 that applied AI algorithms in digital health for COPD management. Inclusion criteria focused on original research utilizing AI algorithms and digital health technologies for COPD, while review articles were excluded. …”
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An Intelligent Gestational Diabetes Mellitus Recognition System Using Machine Learning Algorithms by Rasool Jader, Sadegh Aminifar

“… Diabetes mellitus is also called gestational diabetes when a woman has high blood sugar while she is pregnant. It can show up at any time during pregnancy and cause problems for the mother and baby during or after the pregnancy. …”
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Research on a routing task planning algorithm for LEO remote sensing constellation by Xing QI, Zhen LIU, Jiahui LIANG, Qiming ZHAO, Chang LIU

“…In order to solve the problem of poor timeliness of data transmission in remote sensing constellation, the inter-satellite link network and a routing task planning algorithm suitable for inter-satellite network with intermittent burst characteristics was proposed.Driven by the results of remote sensing satellite imaging task planning, combined with the time-varying characteristics of satellite network topology, the algorithm improved the topology division method based on snapshot sequence to reduce the frequency of route switching and the cost of link switching.The routing between satellite and ground station was regarded as a part of the routing of LEO remote sensing constellation.While selecting the shortest routing path between satellite and the ground, the duration of satellite-ground link was maximized.The simulation results show that the algorithm can significantly improve the data transmission capability of the low-orbit remote sensing satellite constellation.…”
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The European regulation on AI in the face of the biases and risks of algorithmic discrimination in migration contexts by Encarnación La Spina

“…The increasing institutionalisation of artificial intelligence (AI) is a social problem of particular concern for the most vulnerable groups, such as migrants and asylum seekers. While global migration contexts face tight security control and an extensive digital transition, the European regulation on AI is still too limited in scope to counteract the negative impacts of the design and training of algorithms. …”
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Determining Factors Affecting Cooperative Membership of the Beekeepers Using Decision Tree Algorithms by Tayfun Çukur, Figen Çukur

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Minimum number oriented relay node deployment algorithm in two-tiered WSN by Chun-yu MIAO, Li-na CHEN, Guo-yong DAI, Fan YANG, Qing-zhang CHEN

“…Aiming at minimizing the number of relay nodes distributed in the sensing area while keeping the feasible communication with at least one relay node for every sensor node, two algorithms (i.e. the integral linear programming optimal algorithm and the heuristic algorithm) were proposed. …”
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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…By analyzing the feature importance of the model, it is found that the temperature feature carries the greatest weight in phase state recognition, followed by radial velocity, while the depolarization ratio contributes the least. …”
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Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels by Derrick Mirindi, James Hunter, David Sinkhonde, Tajebe Bezabih, Frederic Mirindi

“…This review analyzes secondary data on nanoparticle integration in board production, aiming to evaluate the relationships among physical (water absorption (WA) and thickness swelling (TS)) and mechanical (modulus of rupture (MOR), modulus of elasticity (MOE); and internal bond (IB) strength) properties and to predict performance using machine learning (ML) algorithms. These algorithms include Pearson correlation, hierarchical clustering, and decision tree (DT) models. …”
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Amending the algorithm of aerosol–radiation interactions in WRF-Chem (v4.4) by J. Feng, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, Q. Du, Z. Yang, C. Jin

“…The dust radiative forcing at the top of the atmosphere (TOA) simulated by the Interpolated algorithm is negative in the Sahara region, while the Resolved algorithm simulates positive forcing at TOA and can exceed 10 W m<span class="inline-formula">⁻²</span> in the Sahara, which is more consistent with previous studies. …”
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An Equivalence Theorem and A Sequential Algorithm for A-Optimal Experimental Designs on Manifolds by Jingwen Zhang, Yaping Wang

“…Based on this result, a sequential algorithm for identifying A-optimal designs on manifold data is developed. …”
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Design and Implementation of Hybrid CORDIC Algorithm Based on Phase Rotation Estimation for NCO by Chaozhu Zhang, Jinan Han, Ke Li

“…Finally, simulation results indicate that the improvement over traditional CORDIC algorithm is achieved in terms of ease of computation, resource utilization, and computing speed/delay while maintaining the precision. …”
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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…In recent years, the demand for efficient and accurate defect detection algorithms in industrial production has been increasing. …”
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A Hybrid Algorithm for the Permutation Flowshop Scheduling Problem without Intermediate Buffers by Xiaobo Liu, Kun Li, Huizhi Ren

“…In the hybrid algorithm, the solutions with good quality and diversity are maintained by a reference set of scatter search, and the search at each generation starts from a solution generated from the reference set so as to improve the search diversity while guaranteeing the quality of the initial solution. …”
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Quantum online algorithms for a model of the request-answer game with a buffer by K.R. Khadiev, D.I. Lin

“…The adversary loads data to the buffer, while the algorithm has random access to elements of the buffer. …”
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Comparative Analysis of Linear Regression and Neural Network Algorithms for Stock Price Prediction by Eldrianto Christian Wibowo, Ariya Dwika Cahyono

“…This study compares the performance of Linear Regression and Neural Network algorithms in predicting stock prices using historical data from PT Bank Central Asia Tbk (BBCA) for the period from January 1, 2019, to February 17, 2025. …”
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