Results 121 to 130 of about 79,920 (249)
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
Implementasi Algoritma “Particle Swarm Optimization” (PSO) Penjadwalan Belajar Mengajar
Penjadwalan belajar mengajar adalah pengaturan perencanaan belajar mengajar yang meliputi matapelajaran, guru, waktu dan tempat pada sekolah. Pada umumnya penjadwalan belajar mengajar disediakandalam sebuah tabel hari dalam seminggu yang terdiri dari slot waktu yang terdapat mata pelajaran, hari, jam,serta pengajar yang sesuai dengan mata pelajaran ...
null Alfina Febiani +4 more
openaire +1 more source
We report a magnetic particle anchored locked aptamer platform integrated with hyperbranched HCR and DNAzyme amplification for enzyme‐free, ultrasensitive detection of cardiac troponin I. The assay achieves a 0.25 ng/L detection limit within 25 minutes and enables cross‐species MI detection, with machine learning classification reaching 90% accuracy ...
Sayantan Tripathy +9 more
wiley +1 more source
A NEW PARTICLE SWARM OPTIMIZATION METHOD FOR THE PATH PLANNING OF UAV IN 3D ENVIRONMENT
Particle swarm optimization (PSO) method is relatively a new population-based intelligence algorithm and exhibits good performance in optimization problems.
Yasin Volkan Pehlivanoğlu
doaj
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
Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM
Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine(PSO-SVM)is put forward.Firstly,the fractal filter with short-time fractal ...
Li Sha +3 more
doaj
Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility. [PDF]
Band SS +6 more
europepmc +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
Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization
Particle Swarm Optimization (PSO) is a widespread evolutionary technique that has successfully solved diverse optimization problems across various application fields.
Oussama Aoun
doaj +1 more source
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source

