Superposition Methods for Topology Optimization for Non-Concurrent Loads by Daniel Miler, Matija Hoić

“…Problems with non-concurrent loads with variable load directions are often encountered in engineering. While dynamic topology optimization more realistically solves such problems, it is also much more computationally expensive and requires complex mathematical formulations and solvers. …”
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Image-Based POI Identification for Mobile Museum Guides: Design, Implementation, and User Evaluation by Bashar Egbariya, Rotem Dror, Tsvi Kuflik, Ilan Shimshoni

“…The results showed that the algorithm successfully and quickly identified POIs in 97.6% of cases. …”
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An Intelligent Optimization System Using Neural Networks and Soft Computing for the FMM Etching Process by Wen-Chin Chen, An-Xuan Ngo, Jun-Fu Zhong

“…The system integrates advanced optimization techniques, including the Taguchi method, analysis of variance (ANOVA), back-propagation neural network (BPNN), and a hybrid particle swarm optimization–genetic algorithm (PSO-GA) approach to identify optimal process parameters. …”
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A Novel Active Learning Approach for Improving Classification of Unlabeled Video Based on Deep Learning Techniques by Mohamed Salama

“…Specifically, we develop batch mode AL techniques that select useful videos based on uncertainty and diversity sampling. The algorithm then extracts a diverse set of representative keyframes from the queried videos. …”
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Reinforcement learning-based assimilation of the WOFOST crop model by Haochong Chen, Xiangning Yuan, Jian Kang, Danni Yang, Tianyi Yang, Xiang Ao, Sien Li

“…Our results demonstrate that the Time-Series Driven RL model achieved assimilation accuracy comparable to the SUBPLEX optimization algorithm, with an average MAE of 0.65 compared to 0.76 for SUBPLEX, and a slight decrease in RMSE, while significantly reducing the computational burden by 365 times. …”
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Recovery and Characterization of Tissue Properties from Magnetic Resonance Fingerprinting with Exchange by Naren Nallapareddy, Soumya Ray

“…Our results show that Simplicial Homology Global Optimization (SHGO), a global optimization algorithm, and Limited-memory Bryoden–Fletcher–Goldfarb–Shanno algorithm with Bounds (L-BFGS-B), a local optimization algorithm, performed comparably with direct matching in two-tissue property MRF at an SNR of 5. …”
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New Approaches to AI Methods for Screening Cardiomegaly on Chest Radiographs by Patrycja S. Matusik, Zbisław Tabor, Iwona Kucybała, Jarosław D. Jarczewski, Tadeusz J. Popiela

“…The CTR and TCD were then calculated using these labels and a mathematical algorithm. For the training set, we retrospectively included 65 randomly selected patients who underwent CXRs, while for the testing set, we chose 50 patients who underwent cardiac magnetic resonance (CMR) imaging and had available CXRs in the medical documentation. …”
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques by Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi

“…RF processes structured features, providing class probabilities and feature importance scores, while the FNN learns non-linear relationships and generates embeddings. …”
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Outage reduction in 5G uplink cooperative NOMA using PSO-optimized relay selection and successive interference cancelation by David S. Bhatti, M. Asif Haroon, Haeung Choi, Seungmin Kim, Heung-No Lee

“…Abstract 5G radio access networks face significant challenges, particularly related to user outages. While non-orthogonal multiple access (NOMA) has emerged as a promising solution for efficient spectrum sharing in 5G, it struggles to address outage issues. …”
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Developing digital image processing methods to quantify internal and interfacial convection in the Hele-Shaw cell, with applications to the laboratory ice–ocean boundary layer by Safiyyah Moos, Marcello Vichi, François Fripiat, Jean-Louis Tison, Anne de Wit, Tokoloho Rampai

“…Previous studies lack the ability to provide a temporal evolution of this dynamic system at a high enough resolution to investigate these interactions. The improved algorithm confirms previous results, while providing a more detailed and statistically acceptable description of the processes during artificial sea-ice growth. …”
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Implementation of Chernobyl disaster optimizer based feature selection approach to predict software defects [version 2; peer review: 2 approved, 1 not approved] by Himansu Das, Ajay Kumar Jena, Kunal Anand

“…Feature selection (FS) selects the finest features while carefully discarding others. Several meta-heuristic algorithms, like Genetic Algorithm, Particle Swarm Optimization, Differential Evolution, and Ant Colony Optimization, have been used to develop defect prediction models. …”
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Cohort profile: Health in Central Denmark (HICD) cohort - a register-based questionnaire survey on diabetes and related complications in the Central Denmark Region by Annelli Sandbæk, Else-Marie Dalsgaard, Kasper Norman, Lasse Bjerg, Anders Aasted Isaksen

“…Among these respondents, 2,832 persons had type 1 diabetes (55.9%), 21,140 persons had type 2 diabetes (53.2%), while 27,892 persons were part of the matched group without diabetes (60.4%). …”
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DS-AdaptNet: An Efficient Retinal Vessel Segmentation Framework With Adaptive Enhancement and Depthwise Separable Convolutions by Shuting Chen, Chengxi Hong, Hong Jia

“…These techniques are integrated with an Efficient Depthwise Convolutional Neural Network (ED-CNN) architecture that employs depth-separable convolutions, dramatically reducing computational complexity while maintaining high segmentation accuracy. Our comprehensive experiments on three benchmark retinal vessel segmentation datasets demonstrate that the proposed DS-AdaptNet achieves state-of-the-art performance while maintaining exceptional efficiency. …”
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Objective Functions for the Blade Shape Optimisation of a Cross-Flow Tidal Turbine under Constraints by Karla Ruiz-Hussmann, Pierre-Luc Delafin, Cyrille Bonamy, Yves Delannoy, Dominique Thévenin, Stefan Hoerner

“…Firstly a blade shape optimization will be conducted to fit the actuator at the quarter-chord position while ensuring sufficient thickness. The optimization procedure couples Computational Fluid Dynamics (CFD) with a Genetic Algorithm. …”
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DeepLabV3+-Based Semantic Annotation Refinement for SLAM in Indoor Environments by Shuangfeng Wei, Hongrui Tang, Changchang Liu, Tong Yang, Xiaohang Zhou, Sisi Zlatanova, Junlin Fan, Liping Tu, Yaqin Mao

“…The proposed method utilizes MobileNetV3 as the backbone network for DeepLabV3+ to maintain segmentation accuracy while reducing computational demands. In this paper, we introduce a parameter-adaptive Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm incorporating K-nearest neighbors and accelerated by KD-tree structures, effectively addressing the limitations of manual parameter tuning and erroneous annotations in conventional methods. …”
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Bridging big data in the ENIGMA consortium to combine non-equivalent cognitive measures by Eamonn Kennedy, Shashank Vadlamani, Hannah M. Lindsey, Pui-Wa Lei, Mary Jo-Pugh, Paul M. Thompson, David F. Tate, Frank G. Hillary, Emily L. Dennis, Elisabeth A. Wilde, for the ENIGMA Clinical Endpoints Working Group

“…Using the ComBat-GAM algorithm, we isolated and removed the component of memory scores associated with site effects while preserving instrumental effects. …”
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Magnitude and determinants of drug-related problems among patients admitted to medical wards of southwestern Ethiopian hospitals: A multicenter prospective observational study. by Firomsa Bekele, Tesfaye Tsegaye, Efrem Negash, Ginenus Fekadu

“…In hospitalized patients, DRPs happen during the whole process of drug use such as during prescription, dispensing, administration, and follow-up of their treatment. …”
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Improvements to the Nutri-Score to address challenges identified in a Nordic setting by Anna Amberntsson, Mari Mohn Paulsen, Marta Angela Bianchi, Bryndís Eva Birgisdóttir, Anja Pia Biltoft-Jensen, Dina Moxness Konglevoll, Anne Lise Brantsæter, Kaja Lund-Iversen, Lene Frost Andersen, Marianne Hope Abel

“…The objective was to propose revisions to the Nutri-Score 2023 algorithms and determine if the revised algorithms better align with the Nordic Nutrition Recommendations 2023 (NNR2023) and the Keyhole label. …”
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Analysis of changes in the genome of the Omsk hemorrhagic fever virus (Flaviviridae: <i>Orthoflavivirus</i>) during laboratory practices for virus preservation by Zhanna S. Tyulko, Artem V. Fadeev, Aleksei G. Vasilenko, Ekaterina A. Gradoboeva, Valerii V. Yakimenko, Andrey B. Komissarov

“…In the phylogenetic analysis, the relaxed clock algorithm of the BEAST program was used. Results. …”
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Prediction models for COVID-19 disease outcomes by Cynthia Y. Tang, Cheng Gao, Kritika Prasai, Tao Li, Shreya Dash, Jane A. McElroy, Jun Hang, Xiu-Feng Wan

“…Using the Virus-Human Outcomes Prediction (ViHOP) algorithm, we aim to utilize the individual’s clinical characteristics, the individual’s location, and the infecting SARS-CoV-2 virus characteristics obtained by whole genome sequencing to determine their likelihood of admission to the hospital, admission to the intensive care unit (ICU), or experiencing long COVID. …”
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