Results 41 to 50 of about 148 (117)
The advent of the Internet of Things (IoT) has revolutionized the concept of smart homes, allowing users to remotely interact with their houses. This technological development has significantly improved convenience, safety, and overall lifestyles for homeowners.
Absalom E. Ezugwu +10 more
wiley +1 more source
An improved multi-strategy beluga whale optimization for global optimization problems [PDF]
This paper presents an improved beluga whale optimization (IBWO) algorithm, which is mainly used to solve global optimization problems and engineering problems.
Changsheng Wen +6 more
core +1 more source
This paper presents a multi‐objective hybrid dynamic economic emission dispatch (HDEED) model incorporating wind and solar power generation. An evolutionary neural network‐based forecasting method is employed to accurately predict renewable outputs, which are integrated into the optimisation framework to minimise both cost and emissions.
Muhammad Kamran Khan +4 more
wiley +1 more source
This paper proposes a novel hybrid clustering protocol to address the challenges arising from the resource‐constrained nature of sensor nodes in wireless sensor networks (WSNs). The primary objective of this study is to optimise energy consumption, thereby extending network lifetime and enhancing scalability.
Mohamadhosein Behzadi +3 more
wiley +1 more source
Bio-inspired Optimization: metaheuristic algorithms for optimization
In today's day and time solving real-world complex problems has become fundamentally vital and critical task. Many of these are combinatorial problems, where optimal solutions are sought rather than exact solutions.
Game, Pravin S +2 more
core
TabNet‐SFO: An Intrusion Detection Model for Smart Water Management in Smart Cities
As Smart City (SC) infrastructures evolve rapidly, securing critical systems like smart water management (SWM) becomes paramount to protecting against cyber threats. Enhancing the security, sustainability and execution of conventional schemes is considered significant in developing smart environments.
Wahid Rajeh +5 more
wiley +1 more source
Embedded Chaotic Whale Survival Algorithm for Filter-Wrapper Feature Selection
Classification accuracy provided by a machine learning model depends a lot on the feature set used in the learning process. Feature Selection (FS) is an important and challenging pre-processing technique which helps to identify only the relevant features
Ghosh, Manosij +4 more
core +1 more source
Abstract Marine Ecosystem Models (MEMs) are increasingly driven by Earth System Models (ESMs) to better understand marine ecosystem dynamics, and to analyze the effects of alternative management efforts for marine ecosystems under potential scenarios of climate change.
Jeroen Steenbeek +11 more
wiley +1 more source
A comprehensive study on modern optimization techniques for engineering applications [PDF]
Rapid industrialization has fueled the need for effective optimization solutions, which has led to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over 300 new methodologies have been developed in the last ten years ...
Selvarajan, S
core +1 more source
Feature selection techniques for microarray dataset: a review [PDF]
Automatic speech recognition (ASR) approach is dependent on optimal for many researchers working on feature selection (FS) techniques, finding an appropriate feature from the microarray dataset has turned into a bottleneck.
Mallaiah, Shivamurthaiah +2 more
core +2 more sources

