ATO Controller Research Based on Predictive Fuzzy Control Algorithm by LIU Jiazheng, XU Juan

“…As the train operation process is a complex nonlinear system, and fuzzy predictive control algorithm has good control effect and strong robustness, the model accuracy requirement is not high, it can overcome the influence of various uncertainty and complex changes. …”
Get full text

Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…Abstract This paper introduces a novel approach for identifying dynamic triadic transformation processes, applied to five networks: three undirected and two directed. …”
Get full text

Predictive model on employee stock ownership impacting corporate performance by Yiping Huang, Shixin Huang, Xiangjian Chen

“…Finally, the Explainable AI (XAI) is built based on the LSTM model, and the SHAP value method is used to downsize the performance of the complex black box model LSTM, present the model “black box”, and analyze the common roles played by the elements of ESOPs, the maturity level of smart manufacturing, and the social sentiment on ESOPs in the long term and nonlinear process. Aiming at the above research problems and shortcomings, the main contributions of this paper include: analyzing the dynamic evolution path of ESOP effectiveness from the perspective of intelligent transformation of manufacturing enterprises; predicting the ESOP effectiveness of enterprises through multi-source heterogeneous data (financial data, social sentiment data, operation data) and advanced AI models (LSTM, LLM), and proposing new prediction tools and prediction theories; using XAI technology to realize ESOP effectiveness; and using XAI technology to realize ESOP effectiveness in the long term and non-linear process. …”
Get full text

Predictive Modeling of Environmental Impact on Drone Datalink Communication System by I. Bennageh, H. Mahmoudi, H. Hajjaji, I. Laabousse, A. Hamdouchi

“…Through a comparative analysis of the model’s predictions against actual signals received in three distinct environments, the model’s efficacy in diverse scenarios is affirmed. …”
Get full text

Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning by Arash Golibagh Mahyari, Thomas locher

“…Since the breakdown of a single robot may have a negative impact on the entire process, predictive maintenance systems have gained importance as an essential component of robotics service offerings. …”
Get full text

Harnessing AI for Leadership Development: Predictive Model for Leadership Assessment by Abdullahi Abdu Ibrahim, Adel Alomairi

“…The objective was to create a predictive model that would allow classifying leadership into three groups – Low, Medium, and High – based on behavior scores. …”
Get full text

A Predictive Multibody Model of Paper Applied to Cash Recycling by Lorenzo Giorio, Chiara Gastaldi, Cristiana Delprete, Samuele Libetti, Davide Eleuteri

“…The testing phase is made necessary by the lack of an effective and predictive model for the banknote and of its contact with the components of the cash recycler. …”
Get full text

Non-parametric correlation structures and their respective embeddings in predictive analysis by Adam Dudáš

Get full text

Competitive advantage of micro and small enterprises: a predictive analysis by Ernesto Geovani Figueroa-González, María Brenda González-Herrera, Rosalío Tortolero-Portugal, Jesús Guillermo Sotelo-Asef

“…The guiding question was: which internal factors most accurately predict their competitive performance? Methodology: The answers to a survey administered to 488 Mexican MSEs, selected from DENUE-2024 through stratified sampling, were analyzed. …”
Get full text

AI-Enabled Predictive Analytics in Smart Grids: The Case of Sweden by Theodore Kindong, Bjorn Johansson, Victoria Paulsson

“… Smart grids (SGs) revolutionize existing power grids by using a wide range of developing disruptive technologies to generate clean, efficient, and predictable energy. Our study uses an action research method and focuses solely on the first two stages of the action research process, diagnosis and action planning, to evaluate ways to adopt artificial intelligence (AI) applications in SGs for predictive analytics in practice. …”
Get full text

Automation of Predictive Maintenance: An Experimental Framework for Aircraft Landing Gear by Izaak Stanton, Kamran Munir, Ahsan Ikram, Murad El‐Bakry

“…Based on these findings, a robust framework is proposed to utilize automated ML to optimize predictive maintenance tool development. This research is a stepping stone towards greater use of automation for predictive maintenance and presents insights into the field and AutoML. …”
Get full text

Predictive model of career success of young elite football players by Voja Milosavljević, Vladimir Kitanović, Miloš Milošević, Željko Rajković

“…The goal of this research is to evaluate the predictive value of a wide battery of tests measuring the anthropometric, motor, and psychological characteristics of young elite soccer players during their youth phase, and to construct an eff ective predictive model of career success based on the results obtained.…”
Get full text

Optimized Predictive Coverage by Averaging Time‐Windowed Bayesian Distributions by Han‐Fang Hsueh, Anneli Guthke, Thomas Wöhling, Wolfgang Nowak

“…Abstract Hydrogeological models require reliable uncertainty intervals that honestly reflect the total uncertainties of model predictions. The operation of a conventional Bayesian framework only produces realistic (interpretable in the context of the natural system) inference results if the model structure matches the data‐generating process, that is, applying Bayes' theorem implicitly assumes the underlying model to be true. …”
Get full text

Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia by Clara S. Vetter, Clara S. Vetter, Clara S. Vetter, Annika Bender, Dominic B. Dwyer, Dominic B. Dwyer, Dominic B. Dwyer, Max Montembeault, Anne Ruef, Katharine Chisholm, Lana Kambeitz-Ilankovic, Linda A. Antonucci, Stephan Ruhrmann, Joseph Kambeitz, Marlene Rosen, Theresa Lichtenstein, Anita Riecher-Rössler, Rachel Upthegrove, Raimo K. R. Salokangas, Jarmo Hietala, Christos Pantelis, Christos Pantelis, Rebekka Lencer, Rebekka Lencer, Eva Meisenzahl, Stephen J. Wood, Stephen J. Wood, Paolo Brambilla, Paolo Brambilla, Stefan Borgwardt, Peter Falkai, Peter Falkai, Alessandro Bertolino, Nikolaos Koutsouleris, Nikolaos Koutsouleris, Nikolaos Koutsouleris, PRONIA Consortium

“…Risk estimates derived from KLS-SCNs and regional GMV, but not REF-SCNs, could be predicted from clinical variables, especially driven by body mass index (BMI) and affect-related negative symptoms.DiscussionThese patterns of results show that different SCN computation approaches capture different aspects of the disease. …”
Get full text

APPROACHING MODEL OF THE STRATEGIC MANAGEMENT PROCESS OF THE COMPANY by Puiu GRADINARU, Doruleț GRADINARU

“…Strategic management as a specific form of predictive leadership appeared as a natural reaction to accelerating changes and enhancing its effects. …”
Get full text

POWER SUPPLY FOR THE INVESTIGATION OF PULSE ELECTROCHEMICAL PROCESSES by Yu. G. Aliakseyeu, A. Yu. Korolyov, V. S. Niss, A. E. Parshuto, E. V. Soroka, A. S. Budnitskiy

“…This also ensures reduction of the energy costs of the polishing and cleaning process of surfaces as compared to direct current processing and increasing the efficiency of processing when the rate of smoothing the surface microroughness referred to the total removal of the metal rises significantly. …”
Get full text

Geodetic monitoring of landslide processes in coastal territories by Daria Bulysheva, Iryna Leonidova, Oksana Malashchuk, Tetiana Movchan, Oksana Varfolomeyeva, Olga Panasuk

“… The study is devoted to the methodology and features of geodetic monitoring of territories to provide analytical and predictive information regarding predicting the danger of coastal strip landslide processes. …”
Get full text

OPTIMISATION OF THE MACHINING PROCESS USING GENETIC ALGORITHM by Nadežda ČUBOŇOVÁ, Tomáš DODOK, Zuzana SÁGOVÁ

“…Provides the software application created to optimise processes of boring and local milling (Incomplete sentence; what or who provides).…”
Get full text

ALUMINIUM BRONZE. NANOSTRUCTURAL PROCESSES OF MELTING AND MOULDING by E. I. Marukovich, V. Yu. Stetsenko

“…The role of the modifying crystals of an intermetallid of ZrAl3 is reduced to reduction of concentration of the dissolved oxygen and hydrogen and an intensifi ation of process of coagulation of nanocrystals of a a-phase in the centers of crystallization of dendrites of a a-phase.…”
Get full text

Analysis of Processing Stages and Loss Formation Mechanisms in Rice Production by HU Nan-yan, GUAN Jia-chen, HU Yong-hao, WU La-ping

“…Based on field survey data from Anhui and Hubei provinces, this study provides an in-depth analysis of the current processing losses and the potential for loss reduction. …”
Get full text