The idea of freedom of conscience in the views of liberal legalists in the Russian Empire: from theory to practice. Second half of the XIX – early XX century by D. V. Rybin

“…Considering legalism, we chose the chronological approach as the main method, trying to trace the evolution of the behavior of legalists from scientific justification to judicial protection of freedom of conscience. …”
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Advanced clustering and transfer learning based approach for rice leaf disease segmentation and classification by Samia Nawaz Yousafzai, Fahd N. Al-Wesabi, Hadeel Alsolai, Shouki A. Ebad, Inzamam Mashood Nasir, Emad Fadhal, Adel Thaljaoui

“…Comparisons of the proposed method with six fine-tuned models show the performance advantage and validity of the proposed method.…”
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You Only Look Once v8 Cattle Identification Based on Muzzle Print Pattern Using ORB and Fast Library for Approximate Nearest Neighbor Algorithms by Allan Josef Balderas, Kaila Mae A. Pangilinan, Meo Vincent C. Caya

“…The developed method employed the YOLOv8 object detection model to detect the cattle’s muzzle. …”
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Sparse Channel Estimation for MIMO-OFDM Two-Way Relay Network with Compressed Sensing by Aihua Zhang, Shouyi Yang, Guan Gui

“…Finally, computer simulations are conducted to confirm the superiority of the proposed methods over traditional linear channel estimation methods.…”
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ISI sparse channel estimation based on ISL0 algorithm by Ting LIU, Jie ZHOU, CHIJiu-he JU

“…A smoothed L0 (SL0) algorithm based on compressed sensing proposed in previous works for inter symbol in-terference (ISI) sparse channel estimation. But this method has “notched effect” due to the negative iterative gradient direction. …”
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Optimization of LDPC Codes over the Underwater Acoustic Channel by Shengxing Liu, Aijun Song

“…Furthermore, using differential evolution technique, we develop an EXIT-aided method to optimize LDPC codes for the underwater acoustic channel. …”
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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). …”
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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. …”
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Temu Kembali Citra Tenun Nusa Tenggara Timur menggunakan Esktraksi Fitur yang Robust terhadap Perubahan Skala, Rotasi, dan Pencahayaan by Budiman Baso, Nanik Suciati

“…Often the query image that the user enters has a different scale, rotation and lighting, so a feature extraction method is needed that can accommodate these differences. …”
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Light adaptive image enhancement for improving visual analysis in intercropping cultivation by Wei Zhong, Wanting Yang, Yunfei Wang, Xiang Dong, Xiaowen Wang, Weidong Jia, Mingxiong Ou, Mingde Yan

“…The model was applied to correct soybean canopy images and compared against traditional enhancement methods, including histogram equalization, Multi-Scale Retinex (MSR), and gamma correction. …”
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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. …”
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PENGEMBANGAN APLIKASIKONVERSI MATA KULIAH MENGGUNAKAN FRAMEWORKCODEIGNITER DAN BOOTSTRAP (Studi Kasus : Sekolah Tinggi Ilmu Komunikasi Profesi Indonesia) by Abu Sopian

“…For that, it is necessary to do equalization or conversion of courses from Bachelor Degree (D3). …”
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RobustDeiT: Noise-Robust Vision Transformers for Medical Image Classification by Mehdi Taassori

“…By integrating a multi-stage preprocessing pipeline, our approach systematically reduces noise, enhances contrast, and highlights fine details, ensuring the preservation of essential features. Advanced denoising methods, contrast enhancement with Contrast Limited Adaptive Histogram Equalization, and sharpening via unsharp masking collectively improve image quality, enabling the model to extract meaningful patterns. …”
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Defect Detection in the DR Images of Aluminum and Magnesium Alloy Castings Based on the Improved YOLOv8 Algorithm by Mingfei CHEN, Shuai TIAN

“…First, a method integrating multi-scale enhancement and contrast-limited adaptive histogram equalization is proposed to effectively solve the problems of noise, low brightness,and insufficient information in the DR images of aluminum and magnesium alloy castings. …”
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Enhancing Three-Dimensional Reconstruction Through Intelligent Colormap Selection by Alexandros Vrochidis, Dimitrios Tzovaras, Stelios Krinidis

“…In this paper, a novel method is introduced that significantly enhances 3D reconstruction by improving image quality through a combination of RGB stretching, Contrast Limited Adaptive Histogram Equalization (CLAHE), and colormaps. …”
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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. …”
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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. …”
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Fine-grained vehicle recognition under low light conditions using EfficientNet and image enhancement on LiDAR point cloud data by Guanqiang Ruan, Tao Hu, Chenglin Ding, Kuo Yang, Fanhao Kong, Jinrun Cheng, Rong Yan

“…This study introduces a novel method for fine-grained vehicle model recognition using LiDAR in low-light conditions. …”
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Clustering routing protocol based on improved PSO algorithm in WSN by Xiaonian WU, Chuyun ZHANG, Runlian ZHANG, Yaping SUN

“…Aiming at the problem that the location distribution of cluster head nodes filtered by wireless sensor network clustering routing protocol was unbalanced and the data transmission path of forwarding nodes was unreasonable,which would increase the energy consumption of nodes and shorten the network life cycle,a clustering routing protocol based on improved particle swarm optimization algorithm was proposed.In the process of cluster head election,a new fitness function was established by defining the energy factor and position equalization factor of the node,the better candidate cluster head node was evaluated and selected,the position update speed of the candidate cluster head nodes was adjusted by the optimized update learning factor,the local search and speeded up the convergence of the global search was expanded.According to the distance between the forwarding node and the base station,the single-hop or multi-hop transmission mode was adopted,and a multi-hop method was designed based on the minimum spanning tree to select an optimal multi-hop path for the data transmission of the forwarding node.Simulation results show that the clustering routing protocol based on improved particle swarm optimization algorithm can elect cluster head nodes and forwarding nodes with more balanced energy and location,which shortened the communication distance of the network.The energy consumption of nodes is lower and more balanced,effectively extending the network life cycle.…”
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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

“…Simulation results confirmed that the proposed DestaVNet model outperforms other existing violence prediction methods, where its superiority was affirmed in terms of the (99.92%), precision (99.67%), recall (99.29%) and F-Measure (0.992).…”
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