PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization by Lian-Hua Zhang, Ze-Hong Deng, Wen-Bo Wang

“…Abstract This study employed air quality and meteorological data as research materials and extracted the optimal feature subset by using the approximate Markov blanket-based normal maximum relevance minimum redundancy (nMRMR) algorithm to serve as the input data of the prediction model. …”
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THE USE OF GAMIFICATION IN THE PREVENTION OF DYSLEXIA OF CHILDREN IN PRESCHOOL AGE by Hanna Mytsyk, Alona Babichenko

“…The advantages of using individual elements of gamification for propaedeutic purposes in working with children prone to dyslexia are highlighted, and their description is provided. An algorithm for creating a game mechanism, criteria for selecting digital learning platforms, and developing games based on them are proposed. …”
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Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load by Xiao Han, Jingru Ye, Shaoqiang Hou, Wenbin Hou

“…The non-dominated sorting genetic algorithm II (NSGA-II) was introduced to search for global optimum solution, and radial basis function (RBF) approximations for the objective functions were applied to reduce the computational cost. …”
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Neural Network-Based Lower Limb Prostheses Control Using Super Twisting Sliding Mode Control by Adisu Tadese Demora, Chala Merga Abdissa

“…The neural network structure is built using Feed-forward Neural Network (FFNN) architecture and Levenberg-Marquardt (LM) back-propagation training algorithm for accuracy, fast convergence, and reliable optimization of nonlinear relationships. …”
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Robust adaptive optimization for sustainable water demand prediction in water distribution systems by Ke Wang, Jiayang Meng, Zhangquan Wang, Kehua Zhao, Banteng Liu

“…To further enhance the model’s robustness, an innovative optimization algorithm is incorporated within the CEEMD process to minimize the variance in multi-scale arrangement entropy among the decomposed components, thereby improving the model’s generalization capabilities. …”
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Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8 by Mahsa Bayati, Berhrouz Alizadeh Savareh, Hojjat Ahmadinejad, Farzaneh Mosavat

“…Thus, the present study aimed to develop a deep learning-based AI model using the YOLOv8 algorithm for improving interproximal caries detection in bitewing radiographs. …”
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Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection by Jae Won Seo, Young Jae Kim, Kwang Gi Kim

“…This study introduces paired mammogram view based-network(PMVnet), a novel algorithm designed to enhance breast lesion detection by integrating relational information from paired whole mammograms, addressing the limitations of current methods. …”
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Evaluation of parameters extracted from tissue residue functions in dynamic susceptibility contrast MRI: Healthy volunteers examined during normal breathing and spontaneous hyperve... by Ronnie Wirestam, Arthur Chakwizira, Peter Reinstrup

“…The applied Bézier curve deconvolution algorithm returned tissue residue functions of plausible shapes, i.e., without oscillations and negative values, and some indications that curve shape is relevant for improved assessment of oxygen extraction properties were demonstrated.…”
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Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities by Jiazheng Liu, Yang Yang, Yaru Song

“…Finally, a convex optimization algorithm is proposed to design the optimal asynchronous event-triggered guaranteed cost control law, and a DC motor model is provided to validate its effectiveness.…”
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REFINED ESTIMATES OF DIRECT PYROGENIC CARBON EMISSIONS IN RUSSIAN FORESTS BASED ON REMOTE MONITORING DATA FROM 2011 TO 2023 by D. V. Ershov, E. N. Sochilova, K. A. Kovganko

“…As a result of the above changes in the data and the calculation algorithm for the thirteen-year period, the average annual pyrogenic emission is 107.4 ± 56.7 MtC year-1 or 393.7 ± 207.9 CO2 equivalent. …”
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A paradoxical population structure of var DBLα types in Africa. by Mun Hua Tan, Kathryn E Tiedje, Qian Feng, Qi Zhan, Mercedes Pascual, Heejung Shim, Yao-Ban Chan, Karen P Day

“…By applying a novel ups classification algorithm (cUps) to publicly-available DBLα sequence datasets, we categorised DBLα according to association with the three ups groups, thereby avoiding the need to sequence complete genes. …”
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South African Rheumatism and Arthritis Association 2024 guidelines for the management of axial spondyloarthritis by A B Maharaj, R Benitha, K Makan, R du Toit, D Haasbroek, C Balton, P Govender, M van Dam, F Paruk, B Hodkinson

“…The ankylosing spondylitis disease activity score is recommended as a measure of disease activity, and a stepwise algorithm for therapy is provided. Screening for comorbidities and vaccination is advised. …”
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A Large-Scale Snow Depth Retrieval Method for Alaska Based on Point-Surface Fusion and Random Forest Model by Ningjun Wang, Tiantian Liu

“…The method integrates ground-based snow depth measurements with passive microwave brightness temperature data using the RF algorithm and incorporates geographic coordinates, elevation, brightness temperature, brightness temperature gradient differences, and time variables for each grid cell in Alaska, which significantly improves the accuracy and spatial resolution of the large-scale snow depth retrieval. …”
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Learning-based page replacement scheme for efficient I/O processing by Hwajung Kim

“…We propose a model that learns the memory reference patterns of a given algorithm, enabling real-time determination of the optimal replacement policy. …”
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AI-Based Screening Method for Early Identification of Invasive Ductal Carcinoma in Breast Cancer by Dominik Jánošík, Sila Yavuz

“…To achieve this, we utilized a deep learning neural network algorithm, employing histopathological microscopic datasets and histological microscopic images from 124 and 576 patients with ductal carcinoma of the breast, respectively. …”
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Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization by Zan Yang, Chen Jiang, Jiansheng Liu

“…Abstract This paper proposes a surrogate-assisted dynamic population optimization algorithm (SDPOA) for the purpose of solving computationally expensive constrained optimization problems, in which the population is dynamically updated based on the real-time iteration information to achieve targeted searches for solutions with different qualities. …”
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DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints by Yuteng Chen, Zhaoguang Liu

“…In this study, we propose an improved algorithm, DFTD-YOLO, based on YOLOv8n. We designed a new neck feature fusion network. …”
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Implementing the TOPSIS Method for Book Update and Procurement Priority by Nurlindasari Tamsir, Magfirah Magfirah, Vivi Rosida, St. Amina H. Umar, Widyawati Widyawati

“…The goal of this research is to use the TOPSIS algorithm to determine the procurement and updating of books in the UNHAS library, particularly at the Faculty of Nursing. …”
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NOMA Performance Improvement with Downlink Sectorization by Hurianti Vidyaningtyas, . Iskandar, . Hendrawan, Aloysius A. Pramudita

“…A Sequential Power Allocation (SePA) algorithm was introduced to enhance power distribution within sectors, aiming to maximize both user capacity and overall sum rate. …”
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The panel threshold analysis of digitalization on manufacturing industry’s green total factor productivity by Lu Liu, Yulong Xin, Bei Liu, Yuankui Pang, Weiran Kong

“…The empirical results show that: (1) Digitalization has a significant threshold impact on IGTFP, and the research results are still robust according to changing the threshold variable algorithm and carrying on a Winsorize test. (2) Industry technological innovation (ITI) plays a threshold role in the process of digitalization impact on IGTFP. (3) Heterogeneity analysis shows that the impact mechanism varies depending on differentiated industry factor intensity and industry pollution degree. …”
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