Results 131 to 140 of about 73,502 (293)
AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley +1 more source
Particle swarm optimisation with applications in power system generation
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 12/06/2007.Today the modern power system is more dynamic and its operation is a subject to a number of constraints that are reflected in various management
Sriyanyong, Pichet
core
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
Método híbrido do Q-grandiente com PSO para otimização global
ArtigoEste artigo apresenta a versão de um método de otimização híbrido, denominado q-PSO, que se utiliza de características do método do q-gradiente e também do método de Particle Swarm Optimization (PSO), para a resolução de problemas de busca de ...
Silva, Victor Vinicius França
core +1 more source
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee +2 more
wiley +1 more source
Optimizing a Hybrid Deep Learning Model for DDoS Detection Using DBSCAN and PSO
This study proposes a hybrid deep learning approach that combines Gated Recurrent Units (GRUs) and Convolutional Neural Networks (CNNs) for Distributed Denial of Service (DDoS) cyberattack detection.
Indrastanti Ratna Widiasari +1 more
doaj +1 more source
Fuzzy optimum PSO: PSO with optimized fuzzy controllers
Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. Thus, already some fuzzy systems proposed to control the important structural parameters of basic PSO.
Omid Mokhlessi +2 more
openaire +1 more source
Urban bats show dietary flexibility in aquatic arthropod consumption at urban and rural waterbodies
Urban waterbodies are critical for biodiversity and provide feeding grounds for insectivorous bats. Yet, how urbanisation affects bats' food choices at urban waterbodies and the role of emergent aquatic arthropods remain poorly understood. We compared the diet of three urban bat species – Vespadelus vulturnus, Chalinolobus gouldii,and Myotis macropus –
Tanja M. Straka +7 more
wiley +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Hybrid PSO/DE solution for the earliness/tardiness case of hybrid flow-shop scheduling problem
In this paper, a hybrid method based on particle swarm optimization (PSO) and differential evolution (DE) algorithm is presented to solve the earliness tardiness (E/T) hybrid flow-shop scheduling problem (HFSP). PSO/DE is used to take global optimization.
Han ZH(韩忠华) +3 more
core +1 more source

