Crop Model Ensemble Averaging: A Large But Underappreciated Uncertainty Source for Global Crop Yield Projections Under Climate Change by Xiaomeng Yin, Guoyong Leng, Jiali Qiu, Xiaoyong Liao, Shengzhi Huang, Jian Peng

“…Here, we use seven ensemble averaging methods including simple average, regression, Support Vector Regressor, Bayesian model average (BMA), Random Forest (RF), Artificial neural network (ANN) and Long‐short term memory to derive the ensemble mean of eight process‐based crop models for global maize yield projections. …”
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Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data by Sencer Melih Deniz, Ahmet Ademoglu, Adil Deniz Duru, Tamer Demiralp

“…<b>Background/Objectives:</b> Emotion and cognition, two essential components of human mental processes, have traditionally been studied independently. …”
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Comparative Study of Pathomorphological Changes in Animal Lung Tissue when Modeling Infection Caused by the SARS-CoV-2 Virus by A. V. Shipovalov, G. A. Kudrov, E. K. Ivleva, V. V. Omigov, O. V. P’yankov, O. S. Taranov

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FORMATION OF GDP IN REGIONS: CASE OF GEORGIA by Natia Kurdgelia

“…Regional development is the main vector of the state's regional economic policy. Policies aimed at stimulating economic activity in a specific region of the country are always important. …”
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Activities of Encyclopedic Educator and Intellectual Culture of 18^th Century by S. A. Gerasimova

“…The research methodology is based on a narrative approach in a historiographic perspective, as well as a culture-anthropocentric method that reveals the biography of a scientist as a manifestation of the socio-cultural processes of the era. The use of these methods determined the novelty of the research as a vector of movement of research thought, modeling the phenomenon of professionalism, since it contributes to a deeper understanding of the specifics of the professional picture of the scientist’s world. …”
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Quality analysis method for hot strip based on data mining by LI Yang, WANG Jing, ZHANG Yong-jun

“…The hot rolling of strip is a multi-stage production process. There are about a hundred of control parameters and target parameters which are related to the quality of products directly in the multi-channel processes. …”
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AI-Based model for site-selecting earthquake emergency shelters by Amirmasoud Amiran, Behrouz Behnam, Sanaz Seyedin

“…To address this, machine learning can enhance the speed and accuracy of shelter site selection; the results can also be generalized to other regions. Support vector machine (SVM), K-nearest neighbor (KNN), logistic regression (LR), gaussian processes classifier (GPC), and artificial neural network (ANN) methods are used to develop the model here. …”
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Entrepreneurship as a Competitive Development of Vocational Education: Theory and Practice by A. G. Mokronosov, I. N. Mavrina

“…The paper considers the complex of economic processes in the sphere of the higher vocational education. …”
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SYNTHESIS OF THE TECHNICAL CONTROL SYSTEMS WITH VARIABLE STRUCTURE by I. V. Prokopyev

“…The conclusion is drawn that in case of preliminary processing of the available prior data it is possible to select reference functions correctly which reflect physical processes more precisely. …”
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Analysis of interconnections between Lean and QM standards within LCIA framework by Burtseva Tatyana, Mironova Nataliya, Borisova Anzhelika, Mottaeva Asiiat

“…The ubiquitous approaches of lean management and environmental management (lean and green management) stem from the same sentiment, their driving force is of great importance in government and Russian practice, they have different tools and a general view of waste processes. However, the final result, as a rule, meets the needs of these concepts. …”
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Unitarity bounds and basis transformations in SMEFT: An analysis of Warsaw and SILH bases by Qing-Hong Cao, Yandong Liu, Shu-Run Yuan

“…We employ a coupled channel analysis to scrutinize scattering processes involving vector bosons and fermions. We conduct a comprehensive investigation into the transformation of unitarity bounds under changes in the operator basis. …”
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Identification of an unmanned aerial vehicle pilot-operator dynamics model under stochastic conditions by C. І. Осадчий, А. М. Івлієв, С. Ф. Колісніченко, Г. С. Тимошенко

“…An additive mixture of a vector random useful signals and random noises is allowed at the object output. …”
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Epidermal growth factor signalling controls myosin II planar polarity to orchestrate convergent extension movements during Drosophila tubulogenesis. by Aditya Saxena, Barry Denholm, Stephanie Bunt, Marcus Bischoff, Krishnaswamy VijayRaghavan, Helen Skaer

“…Most epithelial tubes arise as small buds and elongate by regulated morphogenetic processes including oriented cell division, cell rearrangements, and changes in cell shape. …”
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Conceptual approaches to transforming budgeting procedures on the basis of opportunities provided by big data technologies by E. D. Novikova

“…Turbulence of external environment stipulates the growth in volatility and uncertainty in operative environment removing the vector of objectives for accounting and budgeting. …”
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An Implicit Memory-Based Method for Supervised Pattern Recognition by Yu Ma, Shafei Wang, Junan Yang, Yanfei Bao, Jian Yang

“…No physical or biological experiment can fully reveal this process. Psychological evidence is more about describing phenomena and laws than explaining the physiological processes behind them. …”
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An Investigation for Steganalysis in Color Images by Samah Aziz, Ahmed Nori

“…The work relied on two important technologies; the first is called the Support Vector Machine (SVM) and the second is called Fisher Linear Discriminator (FLD). …”
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Understanding the role of eye movement pattern and consistency during face recognition through EEG decoding by Guoyang Liu, Yueyuan Zheng, Michelle Hei Lam Tsang, Yazhou, Zhao, Janet H. Hsiao

“…Temporal dynamics of neural representation quality for face recognition were assessed through decoding old vs new faces using a support vector machine classifier. Results showed that a more eye-focused pattern was associated with higher decoding accuracy in the high-alpha band, reflecting better neural representation quality. …”
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Aero-Engine Fault Detection with an LSTM Auto-Encoder Combined with a Self-Attention Mechanism by Wenyou Du, Jingyi Zhang, Guanglei Meng, Haoran Zhang

“…The LSTM auto-encoder processes the time-series data through an encoder–decoder architecture, extracting latent representations and reconstructing the original inputs. …”
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Methods and reliability study of moral education assessment in universities: A machine learning-based approach by Ting Jin

“…The study recommends the deployment of AI-based moral assessment systems in universities to ensure consistent and objective evaluation processes for policy development.…”
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Alteration of mitochondrial function in arthropods during arboviruses infection: a review of the literature by María E. Santana-Román, Santos Ramírez-Carreto, Paola Maycotte, Victoria Pando-Robles

“…Arthropods serve as vectors for numerous arboviruses responsible for diseases worldwide. …”
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