A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

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Enhancing Remote Sensing Image Quality through Data Fusion and Synthetic Aperture Radar (SAR): A Comparative Analysis of CNN, Lightweight ConvNet, and VGG16 Models by Desynike Puspa Anggreyni, Indriatmoko, Aniati Murni Arymurthy, Andie Setiyoko

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Soil Organic Carbon Assessment Using Remote-Sensing Data and Machine Learning: A Systematic Literature Review by Arthur A. J. Lima, Júlio Castro Lopes, Rui Pedro Lopes, Tomás de Figueiredo, Eva Vidal-Vázquez, Zulimar Hernández

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Construction of an Intelligent Analysis System for Crop Health Status Based on Drone Remote Sensing Data and CNN by Haolin Yang, Peilong Xu, Shengtian Zhang, Hyeonseok Kim, Incheol Shin

“…To address the shortcomings of traditional monitoring methods, which are characterized by high labor intensity, low efficiency, and insufficient timeliness, this paper proposes an innovative intelligent analysis system. The system uses remote sensing data from drones and convolutional neural network technology to achieve efficient crop classification and accurate identification of pests and diseases. …”
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Nonlinear Resilient Learning Method Based on Joint Time-Frequency Image Analysis in Underwater Visible Light Communication by Hui Chen, Yiheng Zhao, Fangchen Hu, Nan Chi

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Skin cancer detection using dermoscopic images with convolutional neural network by Khadija Nawaz, Atika Zanib, Iqra Shabir, Jianqiang Li, Yu Wang, Tariq Mahmood, Amjad Rehman

“…The study introduces a deep learning-based network specifically designed for skin lesion detection to enhance data in the melanoma dataset. …”
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A Systematic Analysis of Neural Networks, Fuzzy Logic and Genetic Algorithms in Tumor Classification by Ahmed Al-Ashoor, Ferenc Lilik, Szilvia Nagy

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Developing the Ecological Image of a Region on Government Accounts in Social Networks by Chepkasov Artur, Bogdanova Ekaterina

“…After identifying modern approaches to the concept of the regional image, the authors conducted a comparative content analysis of social network accounts (VKontakte) run by the authorities of the Kemerovo Region, the Chuvash Republic, and the Yamalo-Nenets Autonomous Region. …”
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Breast cancer pathology image recognition based on convolutional neural network. by Weijian Fang, Shuyu Tang, Dongfang Yan, Xiangguang Dai, Wei Zhang, Jiang Xiong

“…This study presents a convolutional neural network (CNN)-based method for the classification and recognition of breast cancer pathology images. …”
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Combining Dielectric and Hyperspectral Data for Apple Core Browning Detection by Hanchi Liu, Jinrong He, Yanxin Shi, Yingzhou Bi

“…To deal with the challenges of the long incubation period, strong infectivity, and difficulty in the prevention and control of apple core browning, a novel non-destructive detection method for apple core browning has been developed through combining hyperspectral imaging and dielectric techniques. To reduce the computational complexity of high-dimensional multi-view data, canonical correlation analysis is employed for feature dimensionality reduction. …”
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Label credibility correction based on cell morphological differences for cervical cells classification by Wenbo Pang, Yue Qiu, Shu Jin, Huiyan Jiang, Yi Ma

“…Through a similarity comparison between the cluster samples and the statistical feature centers of each class, the label credibility analysis is carried out to group labels. Finally, a cervical cell images multi-class network is trained using synergistic grouping method. …”
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Supporting Radiologists with Automated Image Analysis: An Evaluation of Deep Learning Tools for Augmenting Breast Cancer Screening by Imene Bouharati, Khaoula Bouharati

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Federated Learning Approach for Breast Cancer Detection Based on DCNN by Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan

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Deciphering shared molecular dysregulation across Parkinson’s disease variants using a multi-modal network-based data integration and analysis by Alise Zagare, Irina Balaur, Adrien Rougny, Claudia Saraiva, Matthieu Gobin, Anna S. Monzel, Soumyabrata Ghosh, Venkata P. Satagopam, Jens C. Schwamborn

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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference by Sadhana Selvakumar, B. Senthilkumar

“…This paper presents a privacy-preserving machine learning (PPML) framework using a Fully Connected Neural Network (FCNN) for secure medical image analysis using the MedMNIST dataset. …”
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Comparison of lesion segmentation performance in diffusion-weighted imaging and apparent diffusion coefficient images of stroke by artificial neural networks. by Seok Jin Bang, Yong-Tae Kim, Young Jae Kim, Kwang Gi Kim

“…Artificial intelligence models, U-Net, and a fully connected network (FCN), were used to train each type of image data. …”
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Multiclass aerial image recognition using improved Black Widow Optimization with deep learning on unmanned aerial networks imaging by Mahmoud Ragab, Bandar M. Alghamdi, Sami Saeed Binyamin, Sultan Algarni, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani

“…UAV-based aerial image classification improves the analysis of large-scale geographical and environmental data. …”
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Analysis of Bladder Cancer Staging Prediction Using Deep Residual Neural Network, Radiomics, and RNA-Seq from High-Definition CT Images by Yao Zhou, Xingju Zheng, Zhucheng Sun, Bo Wang

“…Data for this study, including CT images and RNA-Seq datasets for 82 high-grade bladder cancer patients, were sourced from the TCIA and TCGA databases. …”
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Integrating convolutional neural networks for microscopic image analysis in acute lymphoblastic leukemia classification: A deep learning approach for enhanced diagnostic precision by Md. Samiul Alim, Suborno Deb Bappon, Shahriar Mahmud Sabuj, Md Jayedul Islam, M. Masud Tarek, Md. Shafiul Azam, Md. Monirul Islam

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Graph analysis of resting state functional brain networks and associations with cognitive outcomes in survivors of pediatric brain tumor by Eric S. Semmel, Vince D. Calhoun, Frank Hillary, Robin Morris, Tricia Z. King

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