Optimised Implant Selection Using Digital Volume Tomography (DVT) Osteodensitometry by Manfred Nilius, Jörg Winterhoff

“…At the same time, the point at which loading occurs can already be defined at the planning stage, thanks to the predictable primary stability. A standard integration of DVT osteodensitometry in the algorithms of implant planning software thus seems desirable.…”
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Enhanced Multistage Differential Transform Method: Application to the Population Models by Younghae Do, Bongsoo Jang

“…We present an efficient computational algorithm, namely, the enhanced multistage differential transform method (E-MsDTM) for solving prey-predator systems. …”
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Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

“…The research is based on the consumer reviews of online cell phone e-commerce, The paper constructs a sentiment dictionary in this field based on the Sentiment Oriented Point Mutual Information (SO-PMI) algorithm, and the sentiment weight of the review word vectors. …”
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Simulation of the 1d XY model on a quantum computer by Marc Farreras, Alba Cervera-Lierta

“…The scalability and high performance of our algorithm make it an ideal candidate for benchmarking purposes, while also laying the foundation for simulating other integrable models on quantum computers.…”
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Accurate identification of oxygen desaturation status in COPD by using classifier ensemble. by Yue-Fang Wu, Xin Shu, Shiqi Wang, Xiaojun Xu, Pei-Li Sun

“…In the proposed method, five different features of each data point from the time series of SpO2 and pulse are extracted and then combined to form the discriminative feature of the corresponding data point; then, multiple base classifiers with different balanced training subsets are trained and then integrated by using AdaBoost Algorithm. The comparative computational results on the 6-min walk test (6MWT) of the recruited participants show that the proposed method achieved the best global performance with AUC (Area Under Curve) value of 0.8532, indicating that the proposed method can be effectively used for the identification of EIOD and could assist the clinic diagnosis of COPD.…”
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Evaluation of AI-Powered Routine Screening of Clinically Acquired cMRIs for Incidental Intracranial Aneurysms by Christina Carina Schmidt, Robert Stahl, Franziska Mueller, Thomas David Fischer, Robert Forbrig, Christian Brem, Hakan Isik, Klaus Seelos, Niklas Thon, Sophia Stoecklein, Thomas Liebig, Johannes Rueckel

“…<b>Objectives</b>: To quantify the clinical value of integrating a commercially available artificial intelligence (AI) algorithm for intracranial aneurysm detection in a screening setting that utilizes cranial magnetic resonance imaging (cMRI) scans acquired primarily for other clinical purposes. …”
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A Reliability Assessment Method for Distribution Networks Based on Conditional Generative Adversarial Network and Multi-agent Reinforcement Learning by Huihui XU, Yunfei TIAN, Yuyang ZHAO, Jing PENG, Qingxin SHI, Rui CHENG

“…Secondly, a multi-agent reinforcement learning (MARL) model is established, and a training algorithm integrating imitation learning and exploratory learning is proposed, enabling the agents to acquire optimal policies through interactive learning with an expert experience model. …”
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XGBoost based enhanced predictive model for handling missing input parameters: A case study on gas turbine by Nagoor Basha Shaik, Kittiphong Jongkittinarukorn, Kishore Bingi

“…This study examines building a predictive model using the XGBoost algorithm, an ensemble learning approach known for handling huge datasets and producing robust predictions. …”
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Investigation of the dielectric characteristics of materials manufactured using additive technologies by S. V. Kharalgin, M. I. Voytovich

“…Based on the existing methods of measuring the dielectric characteristics of materials, the most optimal method for performing calculations in the electrodynamic computer-aided design system is selected by the finite integration method. Based on the calculated values of the scattering matrix, the permittivity and the tangent of the dielectric loss angle of the printed polymer samples are calculated according to a given algorithm. …”
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Speed curve analysis-based determination of additional resistance to train motion from undercarriage generators by I. O. Lobytsin, I. A. Pankov, V. V. Fedin, N. A. Baranov, K. I. Shvedin, S. O. Litvintsev

“…Comparative analysis of calculated and actual results shows system deviations with real fuel and energy consumption exceeding the calculated values.Materials and methods. The analysis and detailing involved data of the memory block of the electric locomotives microprocessor control and diagnostic system, transcripts of the integrated train safety system and locomotive technical radio communication system. …”
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Improved model MASW YOLO for small target detection in UAV images based on YOLOv8 by Xianghe Meng, Fei Yuan, Dexiang Zhang

“…The MSCA and AFPN form a multiscale feature synergy mechanism, whereby the response values of MSCA become inputs to AFPN, and the multiscale integration of AFPN further amplifies the advantages of MSCA. …”
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Bayesian semiparametric inference in longitudinal metabolomics data by Abhra Sarkar, Ornella Cominetti, Ivan Montoliu, Joanne Hosking, Jonathan Pinkney, Francois-Pierre Martin, David B. Dunson

“…Implementation via an efficient Markov chain Monte Carlo algorithm appropriately accounts for uncertainty in various aspects of the analysis. …”
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Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain by Megha Kuliha, Sunita Verma

“…The obtained raw data is pre-processed by using handling missing values and adaptive min-max normalization. The appropriate features are selected with the aid of hybrid weighted-leader exponential distribution optimization algorithm. …”
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Power System Operation Stability Assessment Method Based on Deep Convolutional Neural Network by Jinman Luo, Yuqing Li, Qile Wang, Liyuan Liu

“…Compared with other algorithm reference models, this model has a higher evaluation accuracy of 98.39%, far exceeding other comparison models. …”
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Retrieval of Cloud Ice Water Path from FY-3F MWTS and MWHS by Fuxiang Chen, Hao Hu, Fuzhong Weng, Changjiao Dong, Xiang Fang, Jun Yang

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Impact of summer heat and mitigation strategies on apple (Cosmic Crisp®) fruit color dynamics quantified using crop physiology sensing system by Basavaraj R. Amogi, Lav R. Khot, Bernardita V. Sallato

“…Using a Crop Physiology Sensing System (CPSS), apple (Cosmic Crisp®) fruit color progression and ambient weather conditions were monitored at 5-min intervals throughout the 2022 growing season under fogging, netting, and untreated control treatments. CPSS with integrated RGB imaging data were contrasted with ambient air temperature (Tair) within each treatment using a custom developed algorithm. …”
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Dynamic energy consumption monitoring and scheduling for green buildings: A comprehensive approach by Hua Zheng, Pengming Wang

“…This approach provides an effective solution for green building energy efficiency management, breaks through the limitations of traditional methods, and has substantial practical application value. The method can be implemented by integrating IoT devices and energy management systems in smart buildings. …”
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Forecasting the potential of global marine shipping carbon emission under artificial intelligence based on a novel multivariate discrete grey model by Zirui Zeng, Junwen Xu, Shiwei Zhou, Yufeng Zhao, Yansong Shi

“…Furthermore, based on the findings of this paper, a grey prediction model with even higher predictive performance can be constructed by integrating it with other algorithms.…”
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An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

“…To overcome these limitations and enhance solution quality, this study proposes a novel Hybrid Grey Wolf-Particle Swarm Optimization (HGWPSO) algorithm. HGWPSO integrates the exploration ability of GWO with the rapid convergence and exploitation efficiency of PSO. …”
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A novel AI-based CNN model to predict the structural performance of monopile used for offshore wind energy systems by Sajid Ali, Muhammad Waleed, Daeyong Lee

“…The CNN projections were evaluated via a multi-step validation approach, integrating extreme value investigation and structural load approximation. …”
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