Exploring resistance factors on the usage of hospital information systems from the perspective of the Markus’s Model and the Technology Acceptance Model by Çiğdem Sıcakyüz, Oya Hacire Yüregir

“…The overall percentage accuracy prediction was 55.3% for parameters of the initial model and 80.8% for the stepwise model after the third step. …”
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Epizootic situation on sheep pox and goat pox in Tajikistan in 2000–2021 by R. Atovullozoda

“…The obtained results confirming the methodological validity of the epizootic situation analysis carried out in 2016 and correctness of the developed models of potential sheep pox and goat pox nosoareals, can become the basis for epizootological prediction of infectious disease risk when the pathogen interacts with susceptible animal population in specific climatic, socio-economic, organizational and managemental conditions. …”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

“…This is evidenced by some models and algorithms with ≥90% prediction accuracy. From the literature, most of the proposed methods are trained and tested on pre-trained deep learning models like VGG16, VGG19, ResNet, Inception_V3, and ReNet. …”
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Roughness Variation Impact on the Morphological Evolution at the Medjerda River: Telemac 2D-Sisyphe Modeling by Hammami Saber, Romdhane Hela, Soualmia Amel, Kourta Azeddine

“…These findings contribute to understanding of sedimentation patterns in the Medjerda River and facilitated the prediction of potential impacts on its fluvial morphology.…”
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Future Changes in Surface Runoff over Korea Projected by a Regional Climate Model under A1B Scenario by Ji-Woo Lee, Suryun Ham, Song-You Hong, Kei Yoshimura, Minsu Joh

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Usage of Optimized Least Square SVR to Volume Expansion Estimation of Cement Paste Including Fly Ash and Mgo Expansive Additive by Mazharul Islam, Sadia Afrin

“…Accurate prediction models allow for better control of thermal stresses, reducing the risk of thermal cracking and extending the structure's lifespan.…”
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Fuzzy Comprehensive Evaluation Model of Project Investment Risk Based on Computer Vision Technology by Hongjian Wang

“…Then, this paper establishes a model of fuzzy comprehensive evaluation of project investment risk through computer vision technology, real-time embedded systems, and neural network models in big data and artificial intelligence technology to realize the analysis and prediction of project investment risk. The fuzzy comprehensive evaluation method and analytic hierarchy process (AHP) are used in this evaluation model to evaluate and forecast project investment risks. …”
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Design of an Evolutionary Approach for Intrusion Detection by Gulshan Kumar, Krishan Kumar

“…In the third phase, a combination method like majority voting method is used to fuse the predictions of individual solutions for determining prediction of ensemble solution. …”
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Combinatorial Price Offer for a Wind Turbine with Flexible Load Considering the Uncertainty to Increase the Benefit of Wind Turbine by Behnam Sobhani, Sadegh Afzal

“…The price and wind prediction will be conducted using one of the previous methods, and the primary purpose here is to increase the system revenue. …”
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Study of V-notch fatigue strength based on affected depth approach by Youssef, Marwa, Nasr, Anouar

“…In the first part of the paper, Fatigue Limit diagram is simulated by assessing the fatigue limits to validate the AD model for notched components. The prediction of the fatigue strength is consistent with the experimental investigation taken from the literature, and it provides interesting results. …”
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Analysis of Shear Stagger Deformation of Existing Shield Tunnel below Induced by Quasirectangular Shield Tunneling by Kun Zhang, Xi Chen, Wei Yin, Kun Hu, ShengXue Zhu

“…It is by comparing the numerical simulation results and field monitoring data that the theoretical prediction formula is verified. The research results show that the theoretical calculation results consist highly with numerical simulation results and field monitoring data, verifying practicality of formulas in this paper. …”
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Establishment of Reference Norms for Lung Function Parameters of Healthy Sri Lankan Tamils by Mathanki Sooriyakanthan, Savithri Wimalasekera, Sivapalan Kanagasabai

“…Step wise multiple regression analysis was used to determine the prediction equations. Also equations based on age, height and age, arm span were derived. …”
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Vulcont: A recommender system based on context history ontology by Ismael M. G. Cardoso, Jorge L. V. Barbosa, Bruno M. Alves, Lucas P. S. Dias, Luan C. Nesi

“…Every day people are exposed to different item offerings based on the prediction of their interests and decisions. Context information, such as location, goals, and close entities, plays a key role in the recommendations' accuracy. …”
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Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data by Conor T. Doherty, Meagan S. Mauter

“…We find that using multivariate data inputs can reduce prediction root mean squared error (RMSE, in days) by 20% relative to models using only univariate inputs. …”
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Effects of Vertical Transmission and Human Contact on Zika Dynamics by Abdoulaye Sow, Cherif Diallo, Hocine Cherifi

“…To validate the model and estimate the important parameters of the model and the prediction of the disease, we consider the real cases in Colombia from 2016. …”
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Robot Simulation on Agri-Field Point Cloud With Centimeter Resolution by Shintaro Noda, Masayuki Kogoshi, Wataru Iijima

“…The simulator in this study enables fast computation and accurate prediction of robot movements on centimeter-resolution agri-field point-cloud models, supporting research on agricultural robots not limited to the growing season.…”
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Recent advances in nutritional metabolism studies on SARS-CoV-2 infection by Yufen Jiang, Linle Xu, Xuexing Zheng, Hongbo Shi

“…These metabolic pathways not only have potential value in prediction and diagnosis but also provide new perspectives for the development of therapeutic strategies. …”
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Yoga practices effect on VCSS-based classification of patients with chronic venous insufficiency based on hybrid machine learning algorithms by Changhong Pan, Lu Qi, Lili Zhao, Yijun Wei

“…Venous Clinical Severity Score (VCSS) levels prior to and one month following yoga sessions were among the variables in the questionnaire that were considered as inputs: effective influences on CVD. The developed prediction models were trained, and their operational capability was tested. …”
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North American avian species that migrate in flocks show greater long-term non-breeding range shift rates by Stephen H. Vickers, Timothy D. Meehan, Nicole L. Michel, Aldina M. A. Franco, James J. Gilroy

“…Methods Here we used 50 years of North American Breeding Bird Survey and Audubon Christmas Bird Count data to test the prediction that breeding and/or non-breeding range-shifts are more prevalent among flocking migrants, which possess a capacity for rapid social transmission of novel migration routes. …”
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DIMD-DETR: DDQ-DETR With Improved Metric Space for End-to-End Object Detector on Remote Sensing Aircrafts by Huan Liu, Xuefeng Ren, Yang Gan, Yongming Chen, Ping Lin

“…Initially, a bilayer targeted prediction method is proposed to strengthen gradient interaction across decoder layers, thereby enhancing detection accuracy and sensitivity in complex scenarios. …”
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