A systematic review of hyper-heuristics on combinatorial optimization problems

M Sánchez, JM Cruz-Duarte… - IEEE …, 2020 - ieeexplore.ieee.org
Hyper-heuristics aim at interchanging different solvers while solving a problem. The idea is
to determine the best approach for solving a problem at its current state. This way, every time …

[HTML][HTML] Time-mixing and Feature-mixing Modelling for Realized Volatility Forecast: Evidence from TSMixer Model

HG Souto, SK Heuvel, FL Neto - The Journal of Finance and Data Science, 2024 - Elsevier
This study evaluates the effectiveness of the TSMixer neural network model in forecasting
stock realized volatility, comparing it with traditional and contemporary benchmark models …

Identifikasi Kerusakan PC (Personal Computer) dengan Metode Teorema Bayes Pada Laboratorium Komputer STMIK Triguna Dharma

R Syahputra - … Sistem Informasi dan Sistem Komputer TGD, 2021 - ojs.trigunadharma.ac.id
Kerusakan Personal computer yang sering terjadi di STMIK Triguna Dharma Medan akan
menjadi probabilitas untuk diproses menggunakan metode Teorema Bayes, dimana data …

Application of principles of a Artificial Intelligence in Mechanical Engineering

SA Lakshman, D Ebenezer - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
As the world is tuning smart in every possible way, various engineering problems and
processes are being made smart by the use of Artificial Intelligence (AI). As various AI …

A competent and novel approach of designing an intelligent image retrieval system

S Dhingra, P Bansal - EAI Endorsed Transactions on Scalable Information …, 2019 - eudl.eu
A prominent technique used to search imperceptible images from any vast repository is
denoted by Content based image retrieval (CBIR) system. The most eminent features of …

[PDF][PDF] Predictive and comparative analysis of narx and nio time series prediction

OO Philip, BT Adeleke - Am. J. Eng. Res, 2017 - academia.edu
Telecommunication is one of the most unavoidable utilities of daily life of human being. It
provides data records of its services from call logs, port activities to internet usage or …

Smart hydroponic agriculture using genetic algorithm based k-nearest neighbors

B Sutrisno, N Surantha - … Computing Electronics and Control), 2024 - telkomnika.uad.ac.id
In this research, researcher has implemented supervised machine learning, namely k-
nearest neighbor (k-NN) which is optimized using genetic algorithms, and the internet of …

An Efficient Cluster Based Energy Routing Protocol (E-CBERP) for Wireless Body Area Networks Using Soft Computing Technique

NN Chaubey, L Falconer, Rakhee - International Conference on …, 2022 - Springer
Abstract The Wireless Body Area Networks (WBAN) is very popular in medical industry and
plays a significant role to monitor critical patient information. In the design of WBAN and due …

The Evolution of Soft Computing: Industry 5.0 and Its Challenges

SS Jaahnavi, R Aarti, RC Kishor Kumar… - Soft Computing in Industry …, 2024 - Springer
Soft computing has emerged as a pivotal field in computer science, focusing on algorithms
and models inspired by human reasoning for handling complex and uncertain information …

Analysis of energy efficient routing protocols using ANFIS and ANT colony technique on WBAN

R Paturi, GS Sanjay, R Rakhee… - AIP Conference …, 2023 - pubs.aip.org
Development of communication technologies has emerged in increasing Wireless Body
Area Networks (WBAN) with tiny sensors implanted on human body to monitor vitals …