Hydrofoil Installation and Performance Optimisation for Ship Resistance Reduction in Trimaran Through Particle Swarm Optimisation Method by Ghadimi Aliakbar, Ghadimi Parviz, Ghassemi Hassan

Get full text

Generative Adversarial Network-Based Distortion Reduction Adapted to Peak Signal-to-Noise Ratio Parameters in VVC by Weihao Deng, Zhenglong Yang

“…Additionally, the LPIPS value reaches 0.2639, representing a 10.42% reduction, and effectively addresses the issue of image quality deterioration during transmission.…”
Get full text

Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction by Enio Pedone Bandarra Filho, Gleyzer Martins, Muhammad Bilal Riaz, Sardar Muhammad Bilal, Oscar Saul Hernandez Mendonza

“…The methodology integrates principles of fluid mechanics with computational modeling to perform mass and pressure balances, combined with a simulated annealing algorithm for system optimization. The results demonstrate notable reductions in energy consumption, installation costs, and root mean square deviation of airflow rates from design targets. …”
Get full text

Gaussian Pulse-Based Two-Threshold Parallel Scaling Tone Reservation for PAPR Reduction of OFDM Signals by Lei Guan, Anding Zhu

Get full text

PCA-counseled k-means and k-medoids with dimension reduction for improved in determining optimal aid clustering by Achmad Jauhari, Ika Oktavia Suzanti, Devie Rosa Anamisa, Fadhila Tangguh Admojo

Get full text

Preamble Allocation and Access Delay Reduction for Improved Massive Random Access in 5G Beamforming Networks by Gangwoo Lee, Jaewook Jung, Jong-Moon Chung

Get full text

Analysis and Implementation of the Crowbar Clamping Circuit for Surge Voltage Reduction in the DC Solid-State Circuit Breaker by Phanit Sok, Sung-Geun Song, Feel-Soon Kang

Get full text

Carbon Emission Reduction in Traffic Control: A Signal Timing Optimization Method Based on Rainbow DQN by Juan Lv, Zhaowei Wang, Jianxiao Ma

“…A comparison with DQN and D3QN models further demonstrates the superiority of the proposed model, achieving a 15% reduction in average waiting time and a 6.5% reduction in CO₂ emissions. …”
Get full text

Neural Dynamics during Resting State: A Functional Magnetic Resonance Imaging Exploration with Reduction and Visualization by Wei Li, Miao Wang, Wen Wen, Yue Huang, Xi Chen, Wenliang Fan, The Alzheimer's Disease Neuroimaging Initiative

Get full text

Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

“…The improved fusion algorithm is used as a learning algorithm to optimize the BP neural network, and the optimized network is used to process and predict the data collected from temperature and gas sensors, which effectively improves the accuracy of fire prediction. …”
Get full text

Social Network Strategy improves access to HIV testing and harm reduction programs for PWID and their partners in Kazakhstan by Olga Denisiuk, Smyrnov Pavlo, Ainura Batyrbekova, Roman Dudnik, Alfiya Denebayeva, Ainur Zhandybayeva, Yuliya Kuznetsova, Deshko Tetyana

“…Conclusions: Low-threshold HIV testing and harm reduction services, like OCF using directly assisted self-testing and social network strategies are essential in reaching key populations with HIV prevention, increasing access to HIV testing and care. …”
Get full text

Small sample data pricing research based on Reptile algorithm by Junxin Shen, Yi Yang, Fanghao Xiao

Get full text

An intelligent algorithm to fast and accurately detect chaotic correlation dimension by Mengyan Shen, Miaomiao Ma, Zhicheng Su, Xuejun Zhang

Get full text

An Optimal Algorithm for Renewable Energy Generation Based on Neural Network by Weihua Zhao, Imran Khan, Shelily F. Akhtar, Mujahed Al-Dhaifallah

“…The results show that the proposed algorithm has technological applications and may greatly improve prediction accuracy.…”
Get full text

Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning. by Huu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, Masanobu Kano, Keisuke Toyama, Kazuo Kitamura, Mitsuo Kawato

“…In this study, we investigated the cerebellum's role in executing reinforcement learning algorithms, with a particular emphasis on essential reward-prediction errors. …”
Get full text

Artificial Intelligence Algorithm for Optimal Time Series Data Model by Kang Wang

“…Based on the characteristics, the theory and algorithm of model selection are proposed. The model selection theory and algorithm in this paper is used for empirical analysis. …”
Get full text

Timeout threshold estimation algorithm in mimic multiple executors architecture by Delei NIE, Obo ZHA, Chong WANG, Xin WANG, Binghao YAN

“…Aiming at the problem that the current timeout strategy algorithm is difficult to cope with the violent situation of task volume,a timeout threshold prediction algorithm based on equivalent proportional execution time applied to the mimetic defense architecture system is proposed.The algorithm utilizes the principle that the execution time of multiple functional equivalent executable tasks in the mimetic defense architecture is positively related,predicts the task execution time and sets a reasonable timeout threshold.The simulation results show that the proposed algorithm can dynamically predict and set the timeout threshold for different task situations,which effectively improves the timeout judgment efficiency,especially for scenarios with dramatic changes in workload.…”
Get full text

Fast view synthesis optimization algorithm based on texture smoothness by Huan DOU, Ke-bin JIA, Rui-lin CHEN, Yun-zhi XIAO, Qiang WU

“…A fast algorithm was proposed in order to reduce the v ew synthesis optimization (VSO) process in depth cod-ing for 3D-HEVC based on texture map smoothness.With the coding nformation derived from texture video sequences,the pixel regularity of smooth texture region was analyzed to set the skip rule using the properties of intra DC prediction and statistical methods.Then the depth regions corres to the flat texture map regions could be extracted and the VSO process of pixels belonging to this type of depth could be skipped.Experimental results show the effective-ness of the proposed algorithm.…”
Get full text

Fast view synthesis optimization algorithm based on texture smoothness by Huan DOU, Ke-bin JIA, Rui-lin CHEN, Yun-zhi XIAO, Qiang WU

“…A fast algorithm was proposed in order to reduce the v ew synthesis optimization (VSO) process in depth cod-ing for 3D-HEVC based on texture map smoothness.With the coding nformation derived from texture video sequences,the pixel regularity of smooth texture region was analyzed to set the skip rule using the properties of intra DC prediction and statistical methods.Then the depth regions corres to the flat texture map regions could be extracted and the VSO process of pixels belonging to this type of depth could be skipped.Experimental results show the effective-ness of the proposed algorithm.…”
Get full text

Recommendation algorithm based on GMM clustering and FOA-GRNN model by Yipeng LI, Yeli RUAN, Jie ZHANG

“…Aiming at the problem of low recommendation accuracy caused by sparse data in traditional item-based recommendation algorithm,a recommendation algorithm based on GMM clustering and FOA-GRNN model is proposed.The algorithm firstly uses Gaussian mixture model (GMM) to cluster the item features,then constructs the score matrix according to the clustering results,and fills the score matrix with slope one algorithm.Finally,the user's score based on similarity prediction is taken as input,and the final score is output through FOA-GRNN model.Experimental results based on movielens-2k dataset show that the proposed algorithm can deal with highly sparse data better and has better recommendation accuracy than the other three algorithms.…”
Get full text