Accuracy of warm ischemia time measurement using a surgical intelligence software in partial nephrectomies: A validation study by Archan Khandekar, Joao G. Porto, Jean C. Daher, Pedro F. S. Freitas, Dotan Asselman, Maritza M. Suarez, Mark L. Gonzalgo, Dipen J. Parekh, Sanoj Punnen

“…The platform utilized computer vision algorithms to detect clamp placement and removal, enabling precise WIT measurement. …”
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Multi-Static Radar System Deployment Within a Non-Connected Region Utilising Particle Swarm Optimization by Yi Han, Xueting Li, Tianxian Zhang, Xiaobo Yang

“…The second algorithm is based on an existing conventional MOPSO algorithm and addresses the equivalent MOMIP problem model. …”
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Self‐Potential Tomography Preconditioned by Particle Swarm Optimization—Application to Monitoring Hyporheic Exchange in a Bedrock River by Scott J. Ikard, Kenneth C. Carroll, Scott C. Brooks, Dale F. Rucker, Gladisol Smith‐Vega, Aubrey Elwes

“…The algorithm combined stochastic source‐localization by particle‐swarm‐optimization (PSO) of electrical sources characterized by simplified geometries with source tomography by regularized weighted least‐squares minimization of a quadratic objective function. …”
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Maximum power point tracking of photovoltaic module based on Particle Swarm Optimization enhanced with Quasi-Newton method. by Montaser Abdelsattar, Hamdi Ali Mohamed, Mohamed A Ismeil, Ahmed A Zaki Diab

“…The tracker should continuously follow the MPP of the PV module at all operating and weather conditions. The Particle Swarm Optimization (PSO) algorithm represents a powerful optimal MPP tracker due to its simplicity and has enhanced greatest exploration characteristics. …”
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Electromyography-based gesture recognition for quadriplegic users using hidden Markov model with improved particle swarm optimization by Xanno K Sigalingging, Alrezza Pradanta Bagus Budiarsa, Jenq-Shiou Leu, Jun-ichi Takada

“…The signals are then processed using a novel algorithm that employs hidden Markov model and improved particle swarm optimization to classify the gesture. …”
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Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters by Mohammad Amin Heidari, Mehdi Nafar, Taher Niknam

“…In this paper particle swarm optimasation algorithm (PSO) based sliding mode controller(SMC) introduced to control invrters of Uniefied power quality Controllers(UPQC) to control and improve the power quality in microgrids through controlling the output power of the distributed generation source. …”
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Squat Motion of a Humanoid Robot Using Three-Particle Model Predictive Control and Whole-Body Control by Hongxiang Chen, Xiuli Zhang, Mingguo Zhao

“…The algorithm is tested through simulations of a humanoid robot performing continuous squatting motions. …”
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Performance Improvement of Spaceborne SAR Using Antenna Pattern Synthesis Based on Quantum-Behaved Particle Swarm Optimization by Young-Jin Won, Kyun Ho Lee, Jae-Hyun Lee

“…This study proposes a method for antenna mask design that is based on several previous studies as well as the antenna pattern synthesis algorithm, which is based on quantum-behaved particle swarm optimization (QPSO) for an active phased array SAR system. …”
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Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation by Oladimeji Ibrahim, Mohd Junaidi Abdul Aziz, Razman Ayop, Ahmed Tijjani Dahiru, Wen Yao Low, Mohd Herwan Sulaiman, Temitope Ibrahim Amosa

“…This paper presents a novel Fuzzy Logic-Based Particle Swarm Optimization (FLB-PSO) technique to enhance the performance of hybrid energy management systems. …”
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Optimization of Backpropagation (BP) Weight Values Using Particle Swarm Optimization (PSO) to Predict KIP Scholarship Recipients by Dika Kurnia Nanda, Dian Palupi Rini

“…To overcome this, the Particle Swarm Optimization (PSO) algorithm is used to optimize the weights of the BP artificial neural network. …”
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Online and Offline Identification of False Data Injection Attacks in Battery Sensors Using a Single Particle Model by Victoria A. O'Brien, Vittal S. Rao, Rodrigo D. Trevizan

“…FDIA detection, identification, and classification was accomplished using a tuned cumulative sum (CUSUM) algorithm, which was compared with a baseline method, the chi-squared error detector. …”
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Optimization Strategies for Urban Waterlogging Warning in Complex Environments: Based on Particle Swarm Optimization and Deep Neural Networks by Xiande Hu, Fenfei Gu

“…Afterward, combined with the PSO algorithm, the constructed model was trained and optimized. …”
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A Wi-Fi Indoor Localization Strategy Using Particle Swarm Optimization Based Artificial Neural Networks by Nan Li, Jiabin Chen, Yan Yuan, Xiaochun Tian, Yongqiang Han, Mingzhe Xia

“…In this paper, we propose an indoor localization system using the affinity propagation (AP) clustering algorithm and the particle swarm optimization based artificial neural network (PSO-ANN). …”
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An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University Residence by Stephen Oladipo, Yanxia Sun, Oluwatobi Adeleke

“…To address this problem, the velocity update equation of the original PSO algorithm is modified by incorporating a dynamic linear decreasing inertia weight, which improves the PSO algorithm’s convergence behaviour and aids both local and global search. …”
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Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach by Ming Zhang, Kai Wang, Yan-ting Zhou

“…However, if the system is a moving EV during rapid acceleration or regenerative braking or when using heating or air conditioning, most of the existing works suffer from poor prediction of state and state estimation error covariance, leading to the problem of accuracy degeneracy of the algorithm. On this account, this paper presents a particle filter-based hybrid filtering method particularly for SOC estimation of Li-ion cells in EVs. …”
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Curled orbit and epicyclic oscillation of charged particles around the weakly magnetized black hole in the presence of Lorentz violation by Hai-Yang Zhang, Ya-Peng Hu, Yu-Sen An

“…Abstract In this paper, we investigate the motion of charged particles around the weakly magnetized Schwarzschild-like bumblebee black hole which has Lorentz symmetry breaking. …”
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A Machine Learning Approach for Predicting Particle Spatial, Velocity, and Temperature Distributions in Cold Spray Additive Manufacturing by Lurui Wang, Mehdi Jadidi, Ali Dolatabadi

“…Stage 1 applies sampling and a K-nearest-neighbor kernel-density-estimation algorithm that predicts the spatial distribution of impacting particles and re-allocates weights in regions of under-estimation. …”
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Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals by Ammar Amjad, Li-Chia Tai, Hsien-Tsung Chang

“…This study introduces a novel approach, Dynamic Gender-Aware Enhanced Binary Particle Swarm Optimization (DGA-EBPSO), that leverages a gender-specific particle swarm optimization (PSO) technique for feature selection to enhance SER accuracy while promoting interpretability. …”
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First-Principles Study of the Quasi-Particle and Excitonic Effect in o-BC2N: The GW + BSE Study by Genene Shiferaw Aga, Pooran Singh, Chernet Amente Geffe

“…We investigate the quasi-particle and excitonic properties of type II o-BC2N using many-body perturbation theory (MBPT). …”
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LumaCam: a novel class of position-sensitive event mode particle detectors using scintillator screens by Alexander Wolfertz, Alex Gustschin, Michael Schulz, Alexander M. Long, Anton Khaplanov, Tsviki Y. Hirsh, Andrei Nomerotski, Manuel Morgano, Anton Tremsin, Giacomo Mauri, G. Jeff Sykora, Adrian Losko

“…This includes a detailed description of the algorithm that reconstructs the neutron interactions from the sensor data, one of the core components that sets it apart from established scintillator-based imaging detectors. …”
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