Linear Dimensionality Reduction: What Is Better? by Mohit Baliyan, Evgeny M. Mirkes

“…This research paper focuses on dimensionality reduction, which is a major subproblem in any data processing operation. …”
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Association Rule-Based Feature Mining for Automated Fault Diagnosis of Rolling Bearing by Yuan Li, Jinjiang Wang, Lixiang Duan, Tangbo Bai, Xuduo Wang, Yulong Zhang, Guoliang Qin

“…Experimental study on a bearing test reveals that the proposed method can generate a series of underlying association rules for bearing fault diagnosis, and the related features selected by the proposed method can be used directly to analyze bearing signals for fault classification and defect severity identification. …”
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Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation by Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Eduardo P. Cavieres, Eduardo P. Cavieres, Eduardo P. Cavieres, Matías Salinas, Matías Salinas, Matías Salinas, Diego Mellado, Diego Mellado, Diego Mellado, Diego Mellado, Sebastian Ponce, Sebastian Ponce, Sebastian Ponce, Sebastian Ponce, Francisco Torres Moyano, Francisco Torres Moyano, Francisco Torres Moyano, Francisco Torres Moyano, Steren Chabert, Steren Chabert, Steren Chabert, Marvin Querales, Marvin Querales, Julio Sotelo, Rodrigo Salas, Rodrigo Salas, Rodrigo Salas

“…Although Deep Learning (DL) models offer strong performance in tumor detection and segmentation using MRI, their black-box nature hinders clinical adoption due to a lack of interpretability.MethodsWe present a hybrid AI framework that integrates a 3D U-Net Convolutional Neural Network for MRI-based tumor segmentation with radiomic feature extraction. Dimensionality reduction is performed using machine learning, and an Adaptive Neuro-Fuzzy Inference System (ANFIS) is employed to produce interpretable decision rules. …”
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Comparison of Detection and Classification Algorithms Using Boolean and Fuzzy Techniques by Rahul Dixit, Harpreet Singh

“…Modern military ranging, tracking, and classification systems are capable of generating large quantities of data. …”
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Breast asymmetry: literature review and a new proposal for clinical classification by Gladstone Eustáquio de Lima Faria, Dov Charles Goldenberg, Ricardo Frota Boggio

“…Based on the clinical findings, a treatment algorithm was created for each subtype of asymmetry, including in this arsenal, breast implants of different volumes, mastopexies, reduction mammoplasty, and fat grafting. It is important to emphasize that breast asymmetry is the rule and not the exception, therefore, it is a reason for patient dissatisfaction and a challenge for the plastic surgeon.…”
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Sleep stages classification based on feature extraction from music of brain by Hamidreza Jalali, Majid Pouladian, Ali Motie Nasrabadi, Azin Movahed

“…A total of 19 features are extracted from the sequence of notes and fed into feature reduction algorithms; the selected features are applied to a two-stage classification structure: 1) the classification of 5 classes (merging S1 and REM-S2-S3-S4-W) is made with an accuracy of 89.5 % (Cap sleep database), 85.9 % (Sleep-EDF database), 86.5 % (Sleep-EDF expanded database), and 2) the classification of 2 classes (S1 vs. …”
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Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction by CHEN Dengkai, XIAO Yao, XIAO Jianghao, ZHOU Yao, YANG Cong

“…The experimental result shows the HC-CEBARKNC algorithm proposed has better evaluation accuracy that contribute to practical indicators reduction and decision rules screening.…”
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Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

“…Over time, techniques for text classification have progressed from rule-based methods to more advanced deep learning and machine learning approaches. …”
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A Hybrid Learning Framework for Enhancing Bridge Damage Prediction by Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

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Enhancing air quality index forecast with string reduction, entropy weight and similarity measure using K-means clustering for fuzzy inference system by Kulandhainadar Mariavalavan Ordenshiya, Govindasamy Krishnamoorthy Revathi

“…The proposed SR-EW-SM-KMC approach is implemented in a FIS model within MATLAB to forecast AQI in both regression and classification scenarios. Statistical analysis is performed against traditional AQI prediction methods and the FIS without rule reduction (FIS-WORR) model. …”
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Information entropy based match field cutting algorithm by Peng-hao SUN, Ju-long LAN, Shao-jun ZHANG, Jun-fei LI

“…With the increasing diversity of network functions,packet classification had a higher demand on the number of match fields and depth of match table,which placed a severe burden on the storage capacity of hardware.To ensure the efficiency of matching process while at the same time improve the usage of storage devices,an information entropy based cutting algorithm on match fields was proposed.By the analysis on the redundancy of match fields and distribution pattern in a rule set,a match field cutting model was proposed.With the mapping of matching process to the process of entropy reduction,the complexity of optimal match field cutting was reduced from NP-hard to linear complexity.Experiment results show that compared to existing schemes,this scheme can need 40% less TCAM storage space,and on the other side,with the growing of table size,the time complexity of this algorithm is also far less than other algorithms.…”
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Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates by Amina Abdelqadir Mohamed AlJasmi, Hatem Ghonim, Mohyi Eldin Fahmy, Aswathy Nair, Shamie Kumar, Dennis Robert, Afrah Abdikarim Mohamed, Hany Abdou, Anumeha Srivastava, Bhargava Reddy

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A generalizable framework for urban wetland training samples generation and migration: A case study of global Ramsar Wetland Cities by Zhe Yang, Weiguo Jiang, Xiaogan Yin, Ziyan Ling, Xiaoya Wang, Miaolong Lin, Shuhui Lai, Xiao Li, Qiaozhen Guo, Zhijie Xiao, Ze Zhang, Qiuling Li, Peiyu Yang, Shihui Huang, Xiang Long, Keyi Yang, Kaifeng Peng, Yongbiao Yu, Xuan Liu, Yaheng Sheng, Xiaorui Ren, Xiangdong Yang, Haicheng Tian

“…This study introduces an automated framework Fusion Knowledge Rules and Spectral Matching (FKRSM) for training sample generation and migration. …”
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Deep learning-based approach for extracting inflorescence morphology features in cut chrysanthemum by Shanpeng Xu, Jingshan Lu, Yin Wu, Huahao Liu, Fadi Chen, Fei Zhang, Sumei Chen, Weimin Fang, Zhiyong Guan

“…Traditional manual or rule-based image processing methods are inefficient and struggle with complex floral structures. …”
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Rough set based intelligent approach for identification of H1N1 suspect using social media by Vinay Kumar Jain, Shishir Kumar

“…Rough set theory has been used to evaluate significant attributes (symptoms) from symptom attribute set by generating reducts using indiscernibility relation. Identification of suspects is performed using significant conditional attributes and dependency rules generated from reducts. …”
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Wood Species Recognition Based on Visible and Near-Infrared Spectral Analysis Using Fuzzy Reasoning and Decision-Level Fusion by Peng Zhao, Zhen-Yu Li, Cheng-Kun Wang

“…A novel wood species spectral classification scheme is proposed based on a fuzzy rule classifier. …”
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Accounting and Financial Management Cost Accounting Integrating Rough Set Knowledge Recognition Algorithm by Xiaoli Liu

“…According to the discovery model of classification knowledge, the attribute reduction of decision table, classification rule reduction, and classification algorithm under the condition of missing attribute are discussed. …”
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Fault early warning model of 4G base station out of service based on centralized monitoring data resources by Yang WANG, Yi MAN, Zhipeng CHEN

“…4G wireless base station equipment is an important link which has direct impact on information communication network customer service quality,and 4G wireless base stations out of service fault will directly block users' normal communication.Aiming at these problems,based on the centralized monitoring warning message data resources through association rule mining and time trace deduction analysis,4G base stations out of service fault short-term warning was achieved.Based on centralized monitoring equipment performance data resources,by the classification of network elements (data cleaning,feature selection,network elements clustering),index dimension reduction (grouped by cluster,principal component analysis),principal component expression and out of service fault correlation analysis,performance indicators selection and threshold analysis,4G base stations out of service fault long-term warning was achieved.The test can accurately predict the 27.8% of 4G base station equipment out of service fault next month.…”
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Dampak PSAK 30 Terhadap Laporan Keuangan Perusahaan di Indonesia by Fitri Sulistianti, Sondang Mariani Rajagukguk

“…The change in PSAK 30 (R2007) that originally was rule based become principle based, the change in classification from operating lease to finance lease. …”
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Two-Stage Estimation for Ultrahigh Dimensional Sparse Quadratic Discriminant Analysis by Shengbin Zhou, Yejin Huang, Xiue Gao

“…We observe that, under certain sparsity assumptions, the Bayes rule can be reformulated in a low-dimensional form. …”
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