Results 71 to 80 of about 120,272 (297)
Barekeng, 2020 This study uses IHK data from East Kalimantan Province in January 2016 to February 2019, which has a patterned trend. Data that shows a trend, can use double exponential smoothing forecasting one parameter from Brown and two parameters from Holt.
Humairo Dyah Puji Habsari +2 more
doaj +1 more source
Protecting Cyber Physical Systems Using a Learned MAPE-K Model
IEEE Access, 2019 Industry 4.0 leverages on cyber-physical systems (CPSs) that enable different physical sensors, actuators, and controllers to be interconnected via switches and cloud computing servers, forming complex online systems.
Ibrahim Elgendi +3 more
semanticscholar +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Community Detection and Growth Potential Prediction from Patent Citation Networks
, 2019 The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practical patent scoring arises.
Carreón, Elisa Claire Alemán +8 more
core +1 more source
Advantages and disadvantages of retrenchment [PDF]
, 2020 The stability of the job in a state or country usually depends on the condition of the economy in that country or state. Malaysia and many countries around the world have faced several economic downturns and recessions over the past year, this causes the
Abdul Kadir, Adibah +5 more
core
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 +8 more
wiley +1 more source
Penerapan Metode Regresi Linier untuk Memprediksi Permohonan ITAS
Jurnal Eksplora Informatika, 2021 Izin tinggal sementara yang disingkat ITAS adalah izin yang diberikan kepada orang asing tertentu yang akan tinggal sementara dalam jangka waktu tertentu di wilayah Indonesia.
Ni Luh Windy Arya Della +2 more
doaj +1 more source
Forecasting and Forecast Combination in Airline Revenue Management Applications [PDF]
, 2008 Predicting a variable for a future point in time helps planning for unknown future situations and is common practice in many areas such as economics, finance, manufacturing, weather and natural sciences. This paper investigates and compares approaches
Gabrys, Bogdan, Lemke, Christiane
core
Self-Adaptive Framework Based on MAPE Loop for Internet of Things
Italian National Conference on Sensors, 2019 The Internet of Things (IoT) connects a wide range of objects and the types of environments in which IoT can be deployed dynamically change. Therefore, these environments can be modified dynamically at runtime considering the emergence of other ...
Euijong Lee +2 more
semanticscholar +1 more source
British Journal of Clinical Pharmacology, EarlyView.This systematic review identified 112 population pharmacokinetic models of vancomycin in neonates and children. To support rational model selection for model‐informed precision, we developed and applied expert‐driven, transparent criteria that integrate both methodological rigour and clinical relevance.
Zoë Vander Elst +8 more
wiley +1 more source