Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy by Biao Zhang, Liguo Dong, Zhichao Wang, Zebang Feng, Yakui Shao, Tiantian Ma, Xuanchi Chen, Hao Li, Bin Wang, Zhongke Feng

Get full text

Research on Predicting Joint Rotation Angles Through Mechanomyography Signals and the Broad Learning System by Yu Bai, Xiaorong Guan, Huibin Li, Shi Cheng, Rui Zhang, Long He

Get full text

Decoding Artificial Intelligence: A Tutorial on Neural Networks in Behavioral Research by Javier Martínez-García, Juan José Montaño, Rafael Jiménez, Elena Gervilla, Berta Cajal, Antonio Núñez, Federico Leguizamo, Albert Sesé

“…- Simplifying Complex Concepts: This tutorial helps to demystify ANNs by breaking down the backpropagation algorithm into manageable steps. Readers will gain hands-on experience in Python, empowering them to confidently replicate analyses for regression and classification tasks without feeling overwhelmed…”
Get full text

Research on feature extraction and intelligent diagnosis method of reciprocating compressor bearing clearance fault by Feng Yan

Get full text

Research on Bearing Fault Diagnosis Method Based on MESO-TCN by Ruibin Gao, Jing Zhu, Yifan Wu, Kaiwen Xiao, Yang Shen

Get full text

Research on Motion Control Method of Wheel-Legged Robot in Unstructured Terrain Based on Improved Central Pattern Generator (CPG) and Biological Reflex Mechanism by Jian Gao, Ruilin Fan, Hongtao Yang, Haonan Pang, Hangzhou Tian

Get full text

Integrating machine learning and multi-omics analysis to unveil key programmed cell death patterns and immunotherapy targets in kidney renal clear cell carcinoma by Fanyan Ou, Yi Pan, Qiuli Chen, Lixiong Zeng, Kanglai Wei, Delin Liu, Qian Guo, Liquan Zhou, Jie Yang

“…However, systematic research on how various PCD patterns in KIRC affect the responsiveness to immunotherapy is lacking and requires in-depth investigation. …”
Get full text

Exploring Blockchain–IoT Convergence for Logistics Traceability: A Systematic Review and Future Outlook by Yahaya Saidu, Shuhaida Mohamed Shuhidan, Izzatdin Abdul Aziz, MD Mahmudul Alam, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Shamsuddeen Adamu

Get full text

Fusion of motion smoothing algorithm and motion segmentation algorithm for human animation generation. by Shinan Ding

“…Then, combining the discriminant analysis algorithm based on sparse reconstruction and the multi-scale temporal association segmentation algorithm, the key motion segments of the behavior pattern change are identified adaptively. …”
Get full text

Improvement and Optimization of Feature Selection Algorithm in Swarm Intelligence Algorithm Based on Complexity by Bingsheng Chen, Huijie Chen, Mengshan Li

“…Feature selection, as an effective data processing method, has become a hot research topic in the fields of machine learning, pattern recognition, and data mining and has received extensive attention and attention. …”
Get full text

Optimal Structure to Maximize Torque per Volume for the Consequent-Pole PMSM and Investigating the Temperature Effect by Alireza Hosseinpour, Ahmed Abbas, Mahmoud Oukati Sadegh, Atif Iqbal, Aymen Flah, Lukas Prokop, Enas Ali, Ramy N. R. Ghaly

Get full text

Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

Get full text

Modeling and Reconstruction of Mixed Functional and Molecular Patterns

“…Formulating the task as a blind source separation or composite signal factorization problem, we report here a statistically principled method for modeling and reconstruction of mixed functional or molecular patterns. The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
Get full text

Modeling and Reconstruction of Mixed Functional and Molecular Patterns by Yue Wang, Jianhua Xuan, Rujirutana Srikanchana, Peter L. Choyke

“…Formulating the task as a blind source separation or composite signal factorization problem, we report here a statistically principled method for modeling and reconstruction of mixed functional or molecular patterns. The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
Get full text

AI-assisted Pattern Generator for Garment Design by Michael Danner, Elena Brake, Gabriela Kosel, Yordan Kyosev, Katharina Rose, Matthias Rätsch, Holger Cebulla

Get full text

Genetic Pattern Recognition using Intelligent Techniques by Basil Thanoon, Omar Qasim

Get full text

ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS by Jakub Antoš, Václav Nežerka, Michael Somr

“…An additional investment into preparation of new experimental testing can be avoided with the use of tools employing algorithms for stochastic pattern assessment. The development of such algorithms and their implementation into an open-source DIC software is the goal of the presented research.…”
Get full text

Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation by Ryan Allen Shewcraft, John Schwarz, Mariann Micsinai Balan

Get full text

Tourist Behavior Pattern Mining Model Based on Context by Dong-sheng Liu, Shu-jiang Fan

“…Personalized travel experience and service of tourist has been a hot topic research in the tourism service supply chain. In this paper, we take the context into consideration and propose an analyzed method to the tourist based on the context: firstly, we analyze the context which influences the tourist behavior patterns, select the main context factors, and construct the tourist behavior pattern model based on it; then, we calculate the interest degree of the tourist behavior pattern and mine out the rules with high interest degree with the association rule algorithm; we can make some recommendations to the tourist with better personalized travelling experience and services. …”
Get full text

Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Prior methods for classification focused on spectral features which result in increasing bias for contour base classifiers in automatic detection algorithms. In this study, acoustic marine mammal classification is performed through the fusion of 1D Local Binary Pattern (1D-LBP) and Mel Frequency Cepstral Coefficient (MFCC) based features. …”
Get full text