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. …”
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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

“…The collected thermography images are being preprocessed by Contrast Limited Adaptive Histogram Equalization (CLAHE) and contrasting enhancement methods to improve the quality and brightness of the images. …”
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Does digital economy development enhance Chinese residents’ health? Impact and mechanism by Yang Gao, Yang Yang, Jiao Lu, Chen Chen, Xian Liang

“…Abstract Background Recognizing the effect of the digital economy on residents’ health can transform technological dividends into health and well-being and provide the basis for the construction of a “health-oriented” digital society development path. Methods This paper explores the direct impact of the digital economy on residents’ health and its mechanism by constructing a digital economic development index and combining data from the China Family Panel Studies (CFPS). …”
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The Impact of Gross Regional Product Per Capita on the Processes of Convergence between Different Regions of the Country by Mayya Dubovik, Sergey Dmitriev, Madina Aitkazina

“…The speed of convergence was calculated using both ordinary least squares and nonlinear least squares methods, revealing that eliminating a 50% gap in GRP per capita among Russian regions would take approximately 902 and 821 years, respectively. …”
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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. …”
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A secure hybrid deep learning framework for brain tumor detection and classification by Sandeep Kumar Mathivanan, Saravanan Srinivasan, Manjula Sanjay Koti, Virendra Singh Kushwah, Rose Bindu Joseph, Mohd Asif Shah

“…Abstract Objective The primary objective of this study is to propose a novel Brain-tumor Detection Network (BTDN) for MRI-based brain tumor diagnosis. The method aims to enhance image quality, ensure secure data transmission, and achieve highly accurate classification of brain tumors while addressing challenges related to manual interpretation and data security. …”
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Assessing regional disparities and trends in health resource allocation from sub-provincial cities in China by Minghua Zhou

“…Background To analyze the regional disparities and trends in health resource allocation in sub-provincial cities, to inform strategies for achieving equitable health resource allocation across sub-provincial cities.Methods Dagum Gini coefficient and kernel density estimation based on the health resource density index were used to analyze the regional disparities and trends in health resource allocation in sub-provincial cities from 2018 to 2022.Results The overall Gini coefficient of health expenditure is the highest, above 0.373. …”
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Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions by Maryam Abbasi, Paulo Váz, José Silva, Pedro Martins

“…This system adapts to dynamic lighting conditions, addressing the shortcomings of traditional methods like histogram equalization and gamma correction, which struggle with rapid lighting changes and real-time user interactions. …”
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Development of the ICT competence of the teacher within the framework of teacher-centered e-learning in the system of professional development by Olga A. Fadeeva

“…The authors suggest that the improvement of the quality of additional professional programs can be ensured by the implementation of the teacher-centered e-learning model, which is built taking into account the diagnostic results and the andragogical principles of instruction.Materials and methods. The research is based on the data of normative documents in the field of professional requirements for the teacher, the materials of foreign and domestic scientists in the study of the distinctive characteristics of representatives of the generation - Z and the adequate ways of their education and upbringing, in the formation and development of the professional ICT competence of the teacher, the field of adult learning and andragogy.Results. …”
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ResST-SEUNet++: Deep Model for Accurate Segmentation of Left Ventricle and Myocardium in Magnetic Resonance Imaging (MRI) Images by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Fahad Mushabbab G. Alotaibi, Reem Ibrahim Alkanhel

“…Thus, this paper presents a comprehensive end-to-end framework, which includes contrast-limited adaptive histogram equalization (CLAHE) and bilateral filtering methods for image pre-processing and the development and implementation of a proposed deep model for left ventricular and myocardium segmentation. …”
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Research on Fast SOC Balance Control of Modular Battery Energy Storage System by Jianlin Wang, Shenglong Zhou, Jinlu Mao

“…In recent years, SOC balancing methods based on software algorithms have gained popularity. …”
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Foreign object recognition for mine conveyor belt iron separators based on transfer learning with EfficientNet by Hailong YANG, Yiping YUAN, Panpan FAN, Lu XIAO, Feiyang ZHAO, Shaoke YUAN

“…A foreign object recognition method suitable for low illumination and dust-fog environments is proposed for iron separators, which often encountered in mining belt conveyors. …”
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StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification by Muhammad Attique Khan, Muhammad Shahzad Sarfraz, Majed Alhaisoni, Abdulaziz A. Albesher, Shuihua Wang, Imran Ashraf

“…This final vector is given as input to Extreme Learning Machine (ELM) classifier for final classification. The proposed method is evaluated on a combined database. It accomplished an accuracy of 99.46%, which shows significant improvement over preceding techniques and other neural network architectures.…”
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A Hybrid Approach of DenseNet121 with Attention and Bi-LSTM for Yoga Pose Estimation by Aarthy K., Alice Nithya

“…Performance optimization is achieved through the Enhanced Chicken Swarm Optimization (ECSO) method, which fine-tunes the parameters of the system to ensure optimal results. …”
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An Improved Model for Detecting the Presence of Pesticide Residues in Edible Parts of Tomatoes, Cabbages, Carrots, and Green Pepper Vegetables Using Batch Image Analysis by Nabaasa, Evarist, Natumanya, Deborah, Mabirizi, Vicent

“…In this article, we describe an improved model for batch image analysis of pesticide residues in the edible parts of green peppers, tomatoes, cabbages, and carrots. Our method uses a deep learning–based convolutional neural network (CNN), an advanced image processing, feature extraction, and a dataset of 1,094 photographs collected from Mbarara city markets to accurately identify the presence of pesticides in the edible parts of vegetables. …”
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Mixture of Expert-Based SoftMax-Weighted Box Fusion for Robust Lesion Detection in Ultrasound Imaging by Se-Yeol Rhyou, Minyung Yu, Jae-Chern Yoo

“…However, challenges such as speckle noise, low contrast, and diverse lesion morphology hinder its diagnostic accuracy. <b>Methods:</b> To address these issues, we propose CSM-FusionNet, a novel framework that integrates clustering, SoftMax-weighted Box Fusion (SM-WBF), and padding. …”
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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

“…This paper proposes some insightful pre-processing methods that significantly improve the classification performance of these MRI images. …”
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A successive framework for brain tumor interpretation using Yolo variants by S. Priyadharshini, Ramasubramanian Bhoopalan, D. Manikandan, Krishnaraj Ramaswamy

“…MRI is frequently used to diagnose these disorders; however medical professionals find it challenging to manually evaluate MRI pictures because of time restrictions and unpredictability. Computerized methods such as R-CNN, attention models and earlier YOLO variants face limitations due to high computational demands and suboptimal segmentation performance. …”
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Abnormal traffic detection based on image recognition and attention-residual optimization by Pengfei Wang, Xinpeng Chen, Jinan Shen, Zhenwu Xu, Fang Liang, Qiuyang Du

“…Consequently, there has been a sharp increase in network attacks, highlighting the need for enhanced network security methods. Network intrusion detection systems play a crucial role in network security. …”
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Synergistic fusion: An integrated pipeline of CLAHE, YOLO models, and advanced super-resolution for enhanced thermal eye detection. by Persiya J, Sasithradevi A

“…Furthermore, to enhance the resolution of detected eye regions, we investigate various super-resolution techniques, ranging from traditional methods like Bicubic interpolation to cutting-edge approaches like generative adversarial networks (BSRGAN, ESRGAN) and advanced models like Real-ESRGAN, SwinIR, and SwinIR-Large with ResShift. …”
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