Results 81 to 90 of about 48,097 (299)

Prediction of Basic Commodity Prices at the Cooperative, SME, and Trade Office Using the Least Squares Method

Journal of Applied Informatics and Computing
The Cooperatives, Small and Medium Enterprises (SME), and Trade Office is responsible for managing national affairs related to maintaining the prices of basic commodities, including the implementation of technical instructions and regulations.
Desy Purwani, Samsudin Samsudin
doaj   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Estimasi Stok Penerimaan Bahan Bakar Minyak Menggunakan Metode Fuzzy Tsukamoto

JRST: Jurnal Riset Sains dan Teknologi, 2019
Bahan bakar merupakan salah satu kebutuhan yang saat ini tidak bisa dilepaskan dari masyarakat. Bahan bakar cair terutama bensin atau premium, pertalite, pertamax, dan solar merupakan bahan bakar yang digunakan pada alat transportasi. Semakin banyak alat
Novianti Puspitasari, Andi Tejawati, Friendy Prakoso   +2 more
doaj   +1 more source

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source

Body mass and sex estimation from lower carnassial tooth morphometry in the endangered Iberian wolf (Canis lupus signatus): An ecomorphological analysis of sexual size dimorphism

The Anatomical Record, EarlyView.
Abstract The Iberian wolf (Canis lupus signatus) is an endangered subspecies characterized by highly fragmented populations and increasing human–carnivore conflict across the Iberian Peninsula. Although body mass strongly influences predator–prey dynamics and ecological performance, quantitative assessments of sexual size dimorphism (SSD) and body mass
Leonardo Cotts, Eduardo Rossener, Ricardo Moratelli, Maria da Luz Mathias, Oscar Rocha‐Barbosa   +4 more
wiley   +1 more source

Automated Data‐Efficient Symbolic Regression for Interpretable Bioprocess Model Development

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high‐fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale‐up is a top research priority.
Luca Riezzo, Alexander Rogers, Harry Kay, Dongda Zhang   +3 more
wiley   +1 more source

Enhancing public service quality in border regions through fuzzy time series forecasting: A case study of the Timor Tengah Utara regional library

Desimal
Forecasting the demand for public services is often overlooked in border regions, where data-driven management remains limited. However, accurate forecasts are essential for improving service quality and optimizing the use of public facilities.
Oktovianus Humoen, Eva Binsasi, Grandianus Seda Mada, Fried Markus Allung Blegur, Elinora Naikteas Bano   +4 more
doaj   +1 more source

Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small‐Data Scenarios

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Accurate prediction of bioprocess scale‐up is critical for accelerating the deployment of novel and sustainable biomanufacturing systems. However, this remains challenging as multi‐scale data is expensive to generate and mechanistic understanding is often incomplete, leading upscaling decisions to rely heavily on empirical expertise. This work
Harvey Al‐Ramadhan, Fernando Vega‐Ramon, Keju Jing, Dongda Zhang   +3 more
wiley   +1 more source

Breaking the Loop: AWARE is the New MAPE-K

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering
Self-adaptive systems have traditionally relied on the MAPE-K loop. It consists of a centralized, reactive, and sequential loop for monitoring, analyzing, planning, and executing system adaptations. However, the increasing complexity and dynamic nature of modern systems have exposed the limitations of MAPE-K loops, including their lack of proactivity ...
Sanwouo, Brell, Quinton, Clément, Temple, Paul   +2 more
openaire   +2 more sources