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Showing total 8 results
8 results

1. Study Results from Shaanxi Normal University Provide New Insights into Engineering (An Effective Metaheuristic Technology of People Duality Psychological Tendency and Feedback Mechanism-based Inherited Optimization Algorithm for Solving...).

Subjects
OPTIMIZATION algorithms, METAHEURISTIC algorithms, ENGINEERING, EXPERT systems, CONSTRAINED optimization
Abstract

A new report from Shaanxi Normal University in Xi'an, China, presents research on an effective metaheuristic algorithm called the Inherited Optimization Algorithm (IOA). Inspired by the cognitive tendencies and adaptive feedback behavior of people, the IOA algorithm aims to solve complex optimization problems in engineering applications. The algorithm's performance was evaluated on various benchmarks and compared to other metaheuristics, demonstrating its computational efficiency and search efficiency. The research was funded by the National Natural Science Foundation of China and the Fundamental Research Funds for the Central Universities. [Extracted from the article]

Published
2024

2. Studies Conducted at Xi'an University of Science and Technology on Psychology and Psychiatry Recently Reported (Micro-expression Recognition Based On Multi-scale 3d Residual Convolutional Neural Network).

Subjects
CONVOLUTIONAL neural networks, FACIAL expression, PSYCHIATRY, TECHNOLOGICAL innovations
Abstract

A recent study conducted at Xi'an University of Science and Technology in Xi'an, People's Republic of China, focused on the accurate recognition of micro-expressions in demanding scenarios such as clinical psychotherapy and criminal interrogation. The study proposed a novel architecture based on a multi-scale 3D residual convolutional neural network, which effectively captured weak and fleeting facial features and improved recognition performance. The algorithm's performance was evaluated using public datasets, and it achieved recognition accuracies of 74.6%, 84.77%, and 91.35% on these datasets. The study concluded that the proposed algorithm could serve as an important reference for researchers working on high-precision micro-expression recognition. [Extracted from the article]

Published
2024

4. Findings from Xi'an Polytechnic University Update Understanding of Occupational Diseases and Conditions (Small Target Detection Algorithm Based On Attention Mechanism and Data Augmentation).

Subjects
OCCUPATIONAL diseases, DATA augmentation, ALGORITHMS, VIDEO processing, OCCUPATIONAL medicine
Abstract

Researchers from Xi'an Polytechnic University in China have developed a small target detection algorithm for mask-wearing detection. The algorithm, based on an improved version of YOLOv5s, addresses challenges such as small target size, a large number of targets, and mutual occlusion. The researchers embedded an ultralightweight attention mechanism module in the algorithm to improve accuracy, explored different loss functions, and adopted data augmentation methods to enhance model performance. The proposed algorithm achieved a mean average precision of 92.1% on the verification set, outperforming the original algorithm by 4.4%. This research has been peer-reviewed and published in Signal Image and Video Processing. [Extracted from the article]

Published
2024

5. Researchers from Xi'an University Discuss Findings in Obesity, Fitness and Wellness (Improving Plunger Motion Law Based On Multi-objective Optimization Algorithm).

Subjects
OPTIMIZATION algorithms, LEGAL motions, RESEARCH personnel, OBESITY, CONSTRAINT algorithms
Abstract

Researchers from Xi'an University in China have conducted a study on improving the plunger motion law in pumping machines to increase pump filling degree and optimize efficiency. The researchers used a multi-objective optimization genetic algorithm to optimize the plunger movement law without changing the stroke and stroke times. The results showed a 5% increase in pump filling degree and a 75.36% decrease in average acceleration of plunger movement. This research provides a reference for optimizing the plunger motion law in pumping machines. [Extracted from the article]

Published
2024

6. New Brain Diseases and Conditions Study Findings Have Been Reported by Researchers at Northwest University (An Eeg Abnormality Detection Algorithm Based On Graphic Attention Network).

Subjects
CENTRAL nervous system diseases, ELECTROENCEPHALOGRAPHY
Abstract

Keywords: Xi'an; People's Republic of China; Asia; Algorithms; Brain Diseases; Brain Diseases and Conditions; Central Nervous System Diseases and Conditions EN Xi'an People's Republic of China Asia Algorithms Brain Diseases Brain Diseases and Conditions Central Nervous System Diseases and Conditions 605 605 1 09/04/23 20230908 NES 230908 2023 SEP 4 (NewsRx) -- By a News Reporter-Staff News Editor at Pain & Central Nervous System Week -- A new study on Central Nervous System Diseases and Conditions - Brain Diseases and Conditions is now available. Xi'an, People's Republic of China, Asia, Algorithms, Brain Diseases, Brain Diseases and Conditions, Central Nervous System Diseases and Conditions. [Extracted from the article]

Published
2023

8. New Findings from Xidian University Describe Advances in Brain Cancer (Fast Brain Tumor Detection Using Adaptive Stochastic Gradient Descent On Shared-memory Parallel Environment).

Subjects
BRAIN tumors, BRAIN cancer, OPTIMIZATION algorithms, DISCRETE wavelet transforms
Abstract

Keywords: Xi'an; People's Republic of China; Asia; Algorithms; Brain Cancer; Cancer; Health and Medicine; Oncology EN Xi'an People's Republic of China Asia Algorithms Brain Cancer Cancer Health and Medicine Oncology 701 701 1 04/03/23 20230403 NES 230403 2023 APR 3 (NewsRx) -- By a News Reporter-Staff News Editor at Clinical Oncology Week -- A new study on Oncology - Brain Cancer is now available. Xi'an, People's Republic of China, Asia, Algorithms, Brain Cancer, Cancer, Health and Medicine, Oncology. [Extracted from the article]

Published
2023