Short term water demand forecast modelling using artificial intelligence for smart water management

M Kavya, A Mathew, PR Shekar, P Sarwesh - Sustainable Cities and …, 2023 - Elsevier
Water is an important resource for life and its existence. Water demand is increasing with
increasing economic growth and population, while the water availability is continually …

Forecasting Time Series in the Banking Sector Using a Machine Learning Pipeline

O Gorodetskaya, Y Gobareva… - 2021 14th International …, 2021 - ieeexplore.ieee.org
This article is devoted to the applications of machine learning methods for solving
optimization problems in the banking sector. The literature analysis on the application of …

A machine learning pipeline for forecasting time series in the banking sector

O Gorodetskaya, Y Gobareva, M Koroteev - Economies, 2021 - mdpi.com
The problem of forecasting time series is very widely debated. In recent years, machine
learning algorithms have been very prolific in this area. This paper describes a systematic …

Optimal ATM cash replenishment planning in a smart city using deep Q-network

M Kiyaei, F Kiaee - 2021 26th International Computer …, 2021 - ieeexplore.ieee.org
ATMs are no longer just machines, these connected devices are smart, intelligent things in
the Internet of Things (IoT). Access to cash for many in society is remaining essential during …

An averaging approach to individual time series employing econometric models: a case study on NN5 ATM transactions data

M Cedolin, M Erol Genevois - Kybernetes, 2022 - emerald.com
Purpose The research objective is to increase the computational efficiency of the automated
teller machine (ATM) cash demand forecasting problem. It proposes a practical decision …

Towards optimal ATM cash replenishment using time series analysis

M Rafi, MT Wahab, MB Khan… - Journal of Intelligent & …, 2021 - content.iospress.com
Abstract Automatic Teller Machine (ATM) are still largely used to dispense cash to the
customers. ATM cash replenishment is a process of refilling ATM machine with a specific …

ATM cash stock prediction using different machine learning approaches

DE Gökçay - 2020 - research.sabanciuniv.edu
One of the most common problems related to banking systems is the Automated Teller
Machine (ATM) cash demand forecasting. Cash shortage adversely affects customer …

Otomatik Para Çekme Makinelerinde (Atm) Nakit Para Yönetimi İçin Optimizasyon Yaklaşımlarının Geliştirilmesi

A Tunç - 2023 - acikerisim.selcuk.edu.tr
Özet ATM Nakit Yönetimi ve Optimizasyonu Model Çalışması bankacılık sisteminde yer alan
ATM'lerin türleri ve modellerine göre her zaman dilimine uygun olacak şekilde ATM bazında …

Intelligent ATM replenishment optimization based on hybrid genetic algorithm

J Tang, S Wang, T Bai, S Lu… - 2022 24th International …, 2022 - ieeexplore.ieee.org
To solve the ATM replenishment optimization problem, we conducted in-depth research and
analysis on it, established a counterfeit model, and proposed an improved algorithm to solve …

Developing Risk-Minimizing Vehicle Routing Problem for Transportation of Valuables: Models and Algorithms

A Fallahtafti - 2021 - rave.ohiolink.edu
Transportation and logistics of valuable items (eg, banknotes and coins, credit cards,
securities, gold, jewelry, safes, and special pharmaceutical items like vaccines) are …