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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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

“…Dataset The study utilizes three publicly available MRI datasets to evaluate the proposed method. The first dataset, D-I (Br35Hc), comprises brain MRI images specifically curated for tumor classification tasks. …”
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Information Merging for Improving Automatic Classification of Electrical Impedance Mammography Images by Jazmin Alvarado-Godinez, Hayde Peregrina-Barreto, Delia Irazú Hernández-Farías, Blanca Murillo-Ortiz

“…Each method enhances the representation of tissue features, optimizing the image quality and diagnostic utility. …”
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BO-CLAHE enhancing neonatal chest X-ray image quality for improved lesion classification by Jiwon Han, Byungmin Choi, Jae Young Kim, Yeonjoon Lee

“…While various image enhancement methods have been proposed, Contrast Limited Adaptive Histogram Equalization (CLAHE) has been recognized as an effective technique for contrast-based image improvement. …”
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A Hybrid Approach of DenseNet121 with Attention and Bi-LSTM for Yoga Pose Estimation by Aarthy K., Alice Nithya

“…Dynamic Histogram Equalization (DHE) is then employed to enhance image contrast, improving the visibility of key features within the images. …”
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Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement by Shahid Mehmood, Tariq Shahzad, Muhammad Zubair, Farman Matloob Khan, Muhammad Adnan Khan, Khmaies Ouahada, Amir H. Gandomi

“…We used transfer learning to speed up the training process empowered with Contrast Limited Adaptive Histogram Equalization (CLAHE) technique to improve image quality and classification accuracy. …”
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Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach by Md Atiqur Rahman, Mohammad Badrul Alam Miah, Md. Abir Hossain, A. S. M. Sanwar Hosen

“…Effective glioma, meningioma, and pituitary tumor diagnosis and treatment requires the precise differentiation of these tumors as well as non-tumors for improved clinical outcomes. <b>Methods:</b> Here, we present a new method to classify brain tumors based on the MobileNetV2 architecture with advanced preprocessing for high accuracy. …”
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Rep-MobileViT: Texture and Color Classification of Solid Wood Floors Based on a Re-Parameterized CNN-Transformer Hybrid Model by Anning Duanmu, Sheng Xue, Zhenye Li, Yajun Zhang, Chao Ni

“…Comparative analyses demonstrate that this approach outperforms existing machine learning methods by over 12% in classification accuracy.…”
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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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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

“…In the initial stage, the contrast is improved by fusing bi-directional histogram equalization with top-hat filtering output. The resultant fusion images are then passed to ResNet101 pre-trained model and trained once again using deep transfer learning. …”
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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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The Rational Use of Oxalic Acid Against to “Varroa Destructor”; Regional Scale Pilot Scheme by Fatih Yılmaz, Sedat Sevin, Gökhan Akdeniz, Seyit Hasan Öztürk, Ahmet Kuvancı, Hasan Ese, Mücahit Buldağ, Gülden Ayvaz Baykal

“…The scope of this project is aimed to determine the appropriate control method of Varroa by investigating the efficiency values of the evaporation and dropping methods of Oxalic acid. …”
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An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnost... by Ahsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali khan, Muhammad Fareed Hamid, Anwaar UlHaq, Jarrar Amjad

“…We propose Dermo-Transfer, a novel architecture that combines MobileNet with dense blocks and residual connections to improve skin disease severity classification by addressing problems such as vanishing gradients and overfitting. Our method incorporates multi-scale Retinex, gamma correction, and histogram equalization to enhance image quality and visibility. …”
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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

“…To simulate real dust-fog conditions, a random fogging method was employed, improving the model's generalization ability. …”
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Sentinel-1 Noise Suppression Algorithm for High-Wind-Speed Retrieval in Tropical Cyclones by Dechen Ge, Lihua Wang, Weiwei Sun, Hongmei Wang, Wenjing Jiang, Tian Feng

“…Existing noise suppression methods remain insufficient due to their limited consideration of spatially varying noise characteristics within different TC structural regions. …”
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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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MQMAS spectra of half-integer quadrupolar nuclei enhanced by indirect DNP by Hiroki Nagashima, Julien Trébosc, Olivier Lafon, Jean-Paul Amoureux

“…This equalization method has the advantage to limit the length of the phase cycles and to enhance slightly the signal intensity. …”
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Nonlinear Compensation of Multi-CAP VLC System Employing Clustering Algorithm Based Perception Decision by Xingyu Lu, Kaihui Wang, Liang Qiao, Wen Zhou, Yiguang Wang, Nan Chi

“…The CAPD method can outperform the Volterra series based nonlinear equalizer with a lower BER value (at least 10&#x0025; reduction) and relatively lower complexity. …”
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Development and evaluatıon of the Turkısh mobıle real-noıse speech dıscrımınatıon test by Melek Basak Ozkan, Ozlem Konukseven

“…Conclusion When the speech in noise tests developed in the literature are examined, even though the word lists are equalized with the phonemic equalization method, they do not reflect the reality of daily life. …”
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Empathy in the Quran Perspective and its Actualization on Humanitarian Issues in Palestine by Nur Hidayati, Suqiyah Musafaah, Rohmania Citra Ayu Pratiwi, Huda Fadzil

“…The Research used qualitative methods with thematic tafsir. Focus on Collective data and analysis phrases from the Quran that are relevant with empathy. …”
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