The effects of unified pooling arrangement on health inequity in China: a DID-RIF approach by Jing Wu, Yuqing Liu, Chuncheng Wang, Lianjie Liu, Jiaqian Lu

“…Ultimately, this paper aims to assess the impact of the UPA policy on health inequity. Methods This study takes the provincial unified reform of basic medical insurance for urban employees in China as an example, uses the China Family Panel Studies (CFPS) data and related policy documents, and adopts the DID-RIF hybrid method to test the impact of the equalization of the medical insurance system on health inequity, by using the interaction term in the DID (Difference-in-Differences) model as the independent variable in the RIF (Recentered Influence Function) to exclude the influence of other interfering variables. …”
Get full text

ET-Mamba: A Mamba Model for Encrypted Traffic Classification by Jian Xu, Liangbing Chen, Wenqian Xu, Longxuan Dai, Chenxi Wang, Lei Hu

“…With the widespread use of encryption protocols on network data, fast and effective encryption traffic classification can improve the efficiency of traffic analysis. A resampling method combining Wasserstein GAN and random selection is proposed for solving the dataset imbalance problem, and it uses Wasserstein GAN for oversampling and random selection for undersampling to achieve class equalization. …”
Get full text

Design and Analysis of Injection Molds for Plastic Components for Biomedical Applications by Madhukumar Krishnappa, Santhosh Nagaraja, Nataraja Munegowda, Muhammad Imam Ammarullah

“…ABSTRACT The injection molding process primarily involves a systematic sequence that converts plastic pellets into molded components. This method produces identical parts by repeatedly melting resin pellets or powder and injecting the molten polymer into a hollow mold cavity under high pressure. …”
Get full text

Asymptotic solutions of singularly perturbed linear differential-algebraic equations with periodic coefficients by S. Radchenko, V. Samoilenko, P. Samusenko

“…The modification of the algorithm is based on the equalization method in a special way the coefficients at powers of a small parameter in algebraic systems of equations, from which the coefficients of the formal expansions of the searched solution are found. …”
Get full text

Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction by D. Vamsidhar, Parth Desai, Sagar Joshi, Shrikrishna Kolhar, Nilkanth Deshpande, Shilpa Gite

“…Based on these results, this paper proposed the deep learning approach—parallel model integration technique as the most effective method. Future work aims to extend the model to multi-class classification for tumor type detection and improve model generalization for broader applicability.…”
Get full text

COVID-19 Severity Classification Using Hybrid Feature Extraction: Integrating Persistent Homology, Convolutional Neural Networks and Vision Transformers by Redet Assefa, Adane Mamuye, Marco Piangerelli

“…By integrating features from both methods, the classification model effectively predicted severity levels (mild, moderate, severe). …”
Get full text

A Spaceborne Passive Localization Algorithm Based on MSD-HOUGH for Multiple Signal Sources by Liting Zhang, Hao Huan, Tao Ran, Shangyu Zhang, Yushu Zhang, Hao Ding

“…Firstly, an improved convolutional neural network based on the adaptive histogram equalization method (AHE-CNN) is proposed to achieve source number estimation. …”
Get full text

M.R.H. A New Era in Magnetic Head Design by Mazen R. Husni

“…The conventional method for reading/writing information from/on a magnetic media (e.g. magnetic tapes in audio and video recorders, computers etc.) uses what is called an inductive head. …”
Get full text

Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

“…The MESSIDOR dataset is preprocessed through the median filter to eliminate noise, and Contrast-Limited Adaptive Histogram Equalization (CLAHE) is utilized to increase the contrast level in an input image. …”
Get full text

Efficiency of Inter-Budgetary Regulation of Heavily Subsidized Budgets at the Subnational Level by М. Р. Tashtamirov

“…In the course of the study, the author applies a systematic approach, as well as general scientific and special methods: coefficient method, comparative, structural dynamic retrospective analysis. …”
Get full text

Increasing the efficiency of well killing in depleted gas condensate fields with extremely low reservoir pressures by R. A. Gasumov, E. R. Gasumov

“…It has a three-stage scheme that ensures equalization of the injectivity profile under conditions of extremely low formation pressures. …”
Get full text

DIFUZIA PUTERII DE LA ACTORII STATALI LA CEI NON-STATALI by Octavian-Alexandru-Ștefan BROȘTEANU

“…Of course, we cannot talk about an equalization of power between state and non-state actors. …”
Get full text

COMPARATIVE ANALYSIS OF STANDARD AND ENHANCED SWARM INTELLIGENT DEEP BELIEF NETWORK ON MAIZE DISEASE DETECTION by Kehinde Sotonwa, Adebisi Oluwatosin, Adesesan Adeyemo, Micheal Adenibuyan

“…The system was implemented using a language app designer, trained and tested using k-fold cross-validation method, where k is 10-fold. The performance of the developed DBN-IPSO technique was compared with existing DBN-PSO and DBN using False Positive Rate (FPR), sensitivity, specificity, overall accuracy and computation time. …”
Get full text

Unsupervised Boosted Fusion Network for Single Low-Light Image Enhancement by Jianfeng Zhang, Hengxuan Li, Zhanqiang Huo

“…Unsupervised methods are gradually becoming a research hotspot in low-light image enhancement due to their lack of paired training data and higher quality visual enhancement effects, but existing unsupervised low-light image enhancement methods generate excess noise and rely on contrast exposure stacks. …”
Get full text

Application of CycleGAN-based low-light image enhancement algorithm in foreign object detection on belt conveyors in underground mines by Anxin Zhao, Qiuhong Zheng, Liang Li

“…Experimental results show that our method achieves PSNR and SSIM values of 27.07 dB and 0.880, respectively, on the CUMT-BelT dataset. …”
Get full text

Advanced Leaf Classification Using Multi-Layer Perceptron for Smart Crop Management by Sara Mumtaz, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Bayan Alabdullah, Haifa F. Alhasson, Hui Liu

“…To extract features, complex texture and shape details are captured using Local Ternary Patterns (LTP), KAZE, and Histogram of Oriented Gradients (HOG). The optimization method, Stochastic Gradient Descent (SGD), refines the feature space for better categorization. …”
Get full text

A Noninvasive System for the Automatic Detection of Gliomas Based on Hybrid Features and PSO-KSVM by Guoli Song, Zheng Huang, Yiwen Zhao, Xingang Zhao, Yunhui Liu, Min Bao, Jianda Han, Peng Li

“…To detect gliomas more efficiently, this paper proposes a noninvasive automatic diagnosis system for gliomas based on the machine learning methods. First, image standardization, including size normalization and background removal, is applied to produce standard images; then, the modified dynamic histogram equalization is implemented to enhance the low-contrast standard brain images, and skull removal based on outlier detection is presented. …”
Get full text

Deep Learning-Assisted Diagnostic System: Apices and Odontogenic Sinus Floor Level Analysis in Dental Panoramic Radiographs by Pei-Yi Wu, Yuan-Jin Lin, Yu-Jen Chang, Sung-Tsun Wei, Chiung-An Chen, Kuo-Chen Li, Wei-Chen Tu, Patricia Angela R. Abu

“…This study introduces an innovative odontogenic sinusitis image processing technique, which is fused with common contrast limited adaptive histogram equalization, Min-Max normalization, and the RGB mapping method. …”
Get full text

An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…It performs intensity equalization, histogram equalization, resizing and z-score normalization as pre-processing task, which is followed by deep spatio-textural feature extraction by using gray level co-occurrence matrix (GLCM), ResNet101 and SqueezeNet deep networks. …”
Get full text

Processing of Eddy Current Infrared Thermography and Magneto-Optical Imaging for Detecting Laser Welding Defects by Pengyu Gao, Xin Yan, Jinpeng He, Haojun Yang, Xindu Chen, Xiangdong Gao

“…For the acquired MO images of welding cracks, pits, incomplete fusions, burn-outs, and weld bumps, the MO image processing method that includes median filtering, histogram equalization, and Wiener filtering was used, which could eliminate the noise in an image, enhance its contrast, and highlight the weld defect features. …”
Get full text