Copertina

A Machine Learning Approach to Automatic Fall Detection of Soldiers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Soares, Leandro, Venturini, Gustavo, Gomes, José, Efigenio, Jonathan, Rangel, Pablo, Gonzalez, Pedro, Santos, Joel dos, Brandão, Diego, Bezerra, Eduardo
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem
di: Nascimento, Gustavo V., et al.
Pubblicazione: (2025)

Connectome-Guided Automatic Learning Rates for Deep Networks
di: He, Peilin, et al.
Pubblicazione: (2025)

Automatic Design of Optimization Test Problems with Large Language Models
di: Achtelik, Wojciech, et al.
Pubblicazione: (2026)

CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design
di: Huang, Ziyao, et al.
Pubblicazione: (2025)

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
di: Cortês, Gabriel, et al.
Pubblicazione: (2024)

Evolvable Agents, a Fine Grained Approach for Distributed Evolutionary Computing: Walking towards the Peer-to-Peer Computing Frontiers
di: Laredo, Juan Luis Jiménez, et al.
Pubblicazione: (2024)

Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem
di: Huang, Jin, et al.
Pubblicazione: (2024)

Parallelizable Neural Turing Machines
di: Faria, Gabriel, et al.
Pubblicazione: (2026)

Cancermorphic Computing Toward Multilevel Machine Intelligence
di: Moreddu, Rosalia, et al.
Pubblicazione: (2025)

An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron
di: Alazab, Moutaz, et al.
Pubblicazione: (2024)

Modular, Hierarchical Machine Learning for Sequential Goal Completion
di: McDonald, Nathan
Pubblicazione: (2024)

Vector Symbolic Finite State Machines in Attractor Neural Networks
di: Cotteret, Madison, et al.
Pubblicazione: (2022)

ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers
di: Chen, Zihao, et al.
Pubblicazione: (2024)

Enhancing Mass Customization Manufacturing: Multiobjective Metaheuristic Algorithms for flow shop Production in Smart Industry
di: Rossit, Diego, et al.
Pubblicazione: (2024)

Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem
di: Harder, Jonathan Gadea, et al.
Pubblicazione: (2024)

A Compute and Communication Runtime Model for Loihi 2
di: Timcheck, Jonathan, et al.
Pubblicazione: (2026)

Determining the significance and relative importance of parameters of a simulated quenching algorithm using statistical tools
di: Castillo, Pedro A., et al.
Pubblicazione: (2024)

A Digital Pheromone-Based Approach for In-Control/Out-of-Control Classification
di: Pestana, Pedro, et al.
Pubblicazione: (2025)

A Digital Machine Learning Algorithm Simulating Spiking Neural Network CoLaNET
di: Kiselev, Mikhail
Pubblicazione: (2025)

A Lattice-based Method for Optimization in Continuous Spaces with Genetic Algorithms
di: Harris, Cameron D., et al.
Pubblicazione: (2024)

An Efficient Approach for Solving Expensive Constrained Multiobjective Optimization Problems
di: Rahi, Kamrul Hasan
Pubblicazione: (2024)

Greedy Approaches for Packing While Travelling with Deterministic and Stochastic Constraints
di: Don, Thilina Pathirage, et al.
Pubblicazione: (2026)

Green Optimization: Energy-aware Design of Metaheuristics by Using Machine Learning Surrogates to Cope with Real Problems
di: Harada, Tomohiro, et al.
Pubblicazione: (2026)

Higher-Order Neuromorphic Ising Machines -- Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability
di: Ahsan, Faiek, et al.
Pubblicazione: (2025)

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
di: Neshat, Mehdi, et al.
Pubblicazione: (2025)

Zobrist Hash-based Duplicate Detection in Symbolic Regression
di: Burlacu, Bogdan
Pubblicazione: (2025)

A Flexible Job Shop Scheduling Problem Involving Reconfigurable Machine Tools Under Industry 5.0
di: Bakhshi-Khaniki, Hessam, et al.
Pubblicazione: (2024)

Robust Multi-Objective Optimization for Bicycle Rebalancing in Shared Mobility Systems
di: Pedroza-Perez, Diego Daniel, et al.
Pubblicazione: (2026)

Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization
di: Xiang, Meng, et al.
Pubblicazione: (2026)

A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
di: Chen, Xinyi, et al.
Pubblicazione: (2023)

MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning
di: Chen, Jiaxin, et al.
Pubblicazione: (2024)

A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
di: Sanaullah, et al.
Pubblicazione: (2024)

An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
di: Huang, Han, et al.
Pubblicazione: (2025)

Language Model Crossover: Variation through Few-Shot Prompting
di: Meyerson, Elliot, et al.
Pubblicazione: (2023)

Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
di: Ma, Zeyuan, et al.
Pubblicazione: (2025)

Modified Bat Algorithm: A Newly Proposed Approach for Solving Complex and Real-World Problems
di: Umar, Shahla U., et al.
Pubblicazione: (2024)

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
di: Flageat, Manon, et al.
Pubblicazione: (2025)

FIMP-HGA: A Novel Approach to Addressing the Partitioning Min-Max Weighted Matching Problem
di: Wang, Yuxuan, et al.
Pubblicazione: (2024)

Regionalized Metric Framework: A Novel Approach for Evaluating Multimodal Multi-Objective Optimization Algorithms
di: Chen, Jintai, et al.
Pubblicazione: (2025)

MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement
di: Vignolo, Leandro, et al.
Pubblicazione: (2026)