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Machine-Learning Models for Sales Time Series Forecasting

open access: yesData, 2019
In this paper, we study the usage of machine-learning models for sales predictive analytics. The main goal of this paper is to consider main approaches and case studies of using machine learning for sales forecasting.
Bohdan M. Pavlyshenko
doaj   +1 more source

Dislocation‐Mediated Thermoelectric Performance and Mechanical Behavior

open access: yesAdvanced Engineering Materials, EarlyView.
Dislocations can scatter phonons to reduce thermal conductivity, thereby enhance thermoelectric performance. However, dislocations also impact mechanical properties, leading to increased brittleness and altered plasticity. It is essential to clarify the complex relationship between dislocations, thermal transport, and mechanical stability to achieve a ...
Bangzhi Ge, Yuan Yu, Chongjian Zhou
wiley   +1 more source

New Developments in the Field of Production and Application of Multi‐Material Wire Arc Additive Manufacturing Components: A Review

open access: yesAdvanced Engineering Materials, EarlyView.
The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley   +1 more source

Research on Credit Default Prediction Model Based on TabNet-Stacking

open access: yesEntropy
With the development of financial technology, the traditional experience-based and single-network credit default prediction model can no longer meet the current needs.
Shijie Wang, Xueyong Zhang
doaj   +1 more source

Investigation of Oxide Dispersion Strengthening Effect on the Strength of Diffusion‐Bonded AISI304 Parts

open access: yesAdvanced Engineering Materials, EarlyView.
Experiments for reinforcing the diffusion bonding plane by the oxide dispersion strengthening effect are presented. Small ceramic particles (0.5 and 50 μm, respectively) are incorporated. Furthermore, ceramic particles help to penetrate stable passivation layers, enabling atomic diffusion across bonding planes. Since a ceramic–metallic interface cannot
Thomas Gietzelt   +4 more
wiley   +1 more source

Model Construction of InSAR-based Rainfall Thresholds for Landslide Hazards in Yanhe Basin, Chinese Loess Plateau

open access: yesShuitu Baochi Xuebao
[Objective] Empirical rainfall thresholds have geographical limitations, it is of great significance to carry out a rainfall threshold modeling study for landslide hazard on the Chinese Loess Plateau.
WANG Zhenliang   +5 more
doaj   +1 more source

Reactive Interaction and Wetting of Fe‐ and Mn‐Containing, Secondary AlSi Alloys with Manganese Oxide Ceramic Filter Material for Fe Removal

open access: yesAdvanced Engineering Materials, EarlyView.
Fe‐ and Mn‐containing AlSi alloys undergo aluminothermic reaction with Mn oxide in sessile‐drop and crucible experiments forming poor‐wetting Al2O3 while Mn enriches in the alloy. Primary Fe‐containing particles are preferentially attached to the Mn oxide.
Hanka Becker   +6 more
wiley   +1 more source

An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers

open access: yesSystems Science & Control Engineering
Anaemia is a disorder marked by low blood levels of haemoglobin (HGB), affecting people of all ages and ethnicities and is a major global public health concern.
Dhruva Darshan B S   +7 more
doaj   +1 more source

Diffraction Patterns of Layered Close-packed Structures from Hidden Markov Models

open access: yes, 2014
We recently derived analytical expressions for the pairwise (auto)correlation functions (CFs) between modular layers (MLs) in close-packed structures (CPSs) for the wide class of stacking processes describable as hidden Markov models (HMMs) [Riechers ...
Crutchfield, J. P.   +2 more
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