UAV-assisted federated learning with hybrid LoRa P2P/LoRaWAN for sustainable biosphere by Mehran Behjati, Haider A. H. Alobaidy, Rosdiadee Nordin, Nor Fadzilah Abdullah

“…These systems encounter difficulties in long-distance data communication, accurate data processing, and generalized prediction modeling, particularly in large-scale, remote, and hard-to-reach areas. …”
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Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation by Wei-Jong Yang, Chih-Chen Wu, Jar-Ferr Yang

“…The experimental results demonstrate the effective prediction of the depth map from a single-view color image by the proposed autoencoder, which increases the first accuracy rate about 28% and reduces the root mean square error about 27% compared to an existing method in the NYU dataset.…”
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The Mechanisms of Movement Control and Time Estimation in Cervical Dystonia Patients by Pavel Filip, Ovidiu V. Lungu, Daniel J. Shaw, Tomas Kasparek, Martin Bareš

“…Our results suggest that the cervical dystonia patients are impaired at integrating incoming visual information with motor responses during the prediction of upcoming actions, an impairment we interpret as evidence of cerebellar dysfunction.…”
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Credit Risk Assessment for Small and Microsized Enterprises Using Kernel Feature Selection-Based Multiple Criteria Linear Optimization Classifier: Evidence from China by Yimeng Wang, Yunqi Zhang

“…Evidence shows that the core of small and microsized enterprises’ credit risk assessment is to construct a scientific credit risk indicator system, and the key is to establish an effective credit risk prediction model. Therefore, we analyze the factors that influence the credit risk of Chinese small and microsized enterprises and then construct a comprehensive credit risk indicator system by adding behaviour information, supervision information, and policy information. …”
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THE MATRIX OF COGNITIVE FILTERS AS A TOOL FOR THE ANALYSIS OF LINGUOCREATEMES IN MODERN ENGLISH DISCOURSE by Maria P. Taymour

“…This method also allows for the collection of data on the probabilistic prediction of the level of cognitive resonance and positive or negative dissonance in an addressee. …”
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The Study on Credit Risk Warning of Regional Listed Companies in China Based on Logistic Model by Qingping Zhou, Long Wang, Li Juan, Shugong Zhou, Lingli Li

“…The results show that the logistic regression model with gray clustering analysis has high predictive accuracy and has a strong predictive ability to evaluate the credit risk of listed companies. …”
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Numerical Studies of the Gas-Solid Hydrodynamics at High Temperature in the Riser of a Bench-Scale Circulating Fluidized Bed by Maximilian J. Hodapp, Jhon J. Ramirez-Behainne, Milton Mori, Leonardo Goldstein

“…A research of the literature shows that studies for the prediction of key variables in CFB systems operating at high temperature still need to be implemented aiming at applications in energy conversion, such as combustion, gasification, or fast pyrolysis of solid fuels. …”
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Block selection in multiblock partial least squares for modeling genotype-phenotype relations in Saccharomyces. by Muhammad Tahir, Bu Yude, Tahir Mehmood, Saima Bashir, Zeeshan Ashraf

“…Both proposed variants consistently outperform conventional approaches such as partial least squares and multi-block partial least squares in predicting phenotypes. These results highlight the potential of our methods for advancing data-based modeling and genotype-phenotype mapping.…”
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Validation of NEPTUNE-CFD Two-Phase Flow Models Using Experimental Data by Jorge Pérez Mañes, Victor Hugo Sánchez Espinoza, Sergio Chiva Vicent, Michael Böttcher, Robert Stieglitz

“…The influence of different NEPTUNE-CFD model parameters on the void fraction prediction is investigated and discussed in detail. …”
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Blockchain-IoT Healthcare Applications and Trends: A Review by Wafaa A. N. A. Al-Nbhany, Ammar T. Zahary, Asma A. Al-Shargabi

“…The study in this paper includes 14 blockchain IOT healthcare applications: remote patient monitoring, patient tracking, disease prediction, tracking COVID-19, image retrieval, security of medical records, smart telemedicine, securing the Internet of Medical Things, big data, blockchain and sensors, accurate medical decisions, health monitoring, tracking soldiers, and solar energy.…”
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Influence of Abutment Stiffness and Strength on the Seismic Response of Horizontally Curved RC Bridges in Comparison with Equivalent Straight Bridges at Different Seismic Intensity... by Khashayar Heydarpour, Payam Tehrani

“…This paper investigates these limitations and evaluates the AASHTO code recommendations regarding the prediction of the seismic responses of curved bridges using an equivalent straight bridge for bridges with different abutment properties at different seismic hazard levels. …”
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Uncovering the genetic basis of milk production traits in Mexican Holstein cattle based on individual markers and genomic windows. by José G Cortes-Hernández, Adriana García-Ruiz, Francisco Peñagaricano, Hugo H Montaldo, Felipe J Ruiz-López

“…Genomic scans via the single-step genomic best linear unbiased prediction method were performed using BLUPF90 software. …”
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Study on hot deformation behavior of 9Cr18Mo stainles bearing steel by ZHANG Yu, WANG Jianguo, LIU Dong, LIANG Zhirui, ZHAO Jiahang

“…A constitutive equation with the strain compensation considered was developed and the prediction value is in good agreement with the experimental value. …”
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Improving molecular subtypes and prognosis of pancreatic cancer through multi group analysis and machine learning by Xue-Jian Zhang, Fang-Fang Lin, Ya-Qing Wen, Kun-Ping Guan

“…Establishing a novel consensus machine learning driven signature (CMLS) that offers a unique predictive model and possible treatment targets for this condition was the goal of this study. …”
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Identification of Allergenic Tropomyosins with Known and Unknown Sequences in Seafood Products by Marta Godlewska, Piotr Minkiewicz, Małgorzata Darewicz, Anna Iwaniak

“…The prediction of tropomyosin cleavage sites failed in the case of fried products. …”
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Soil Restoration Practices on Priming Effect Intensity and Carbon Fluxes by Abdourhimou Amadou Issoufou, Bachirou Hamadou Younoussa, Idrissa Soumana, Ali Mahamane

“…Our results suggest that indirect effects such as altered stabilization of older C associated with the increased inputs of fresh plant inputs (“priming”) add uncertainty to the prediction of future soil C responses. In addition, restoration influences the abundance and diversity of decomposers, as well as the soil microbial community, by inducing up to more CO2 emission with fresh millet straw addition in fresh state than the predecomposed one. …”
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An Airfield Soil Pavement Design Method Based on Rut Depth and Cumulative Fatigue by Duoyao Zhang, Liangcai Cai, Shaohui Zhou

“…Furthermore, according to the rut prediction formula for airfield soil pavement put forward by the US Army Engineer Research and Development Center, a fatigue equation based on the resilient modulus was proposed to calculate the allowable number of repetitions. …”
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Simulation and Test Study of Blast Crater in Deep Ore Body of Metal Mine Based on Lsdyna by Erhu Dong, Long An, Yuanhui Li, Jiahua Zhang

“…By combining the blast crater test of the ore body and the numerical simulation of Lsdyna, the prediction of powder factor, blast action index, and blast vibration intensity is realized, which provides a reference for the controlled blasting of the deep ore body.…”
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Clinical Significance of NKD Inhibitor of WNT Signaling Pathway 1 (NKD1) in Glioblastoma by Lijun Li, Ruiying Gao, Weizhong Huangfu, Fang Zhang, Ruixia Wang

“…The mRNA level of NKD1 was firstly retrieved from TCGA glioma dataset to evaluate its correlation with clinical characteristics and its value in prognosis prediction. Then, its protein expression level in glioblastoma was tested by immunohistochemistry staining in a retrospectively cohort collected from our medical center (n = 66). …”
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Software Integration of Power System Measurement Devices with AI Capabilities by Victoria Arenas-Ramos, Federico Cuesta, Victor Pallares-Lopez, Isabel Santiago

“…This framework could work remotely while allowing access to the measurements in a comfortable way for grid analysis, prediction, or control tasks. The platform must meet the requirements of synchronism and scalability needed when working with electrical monitoring devices while considering the large volumes of data that these devices generate. …”
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