A Fast and Efficient Denoising and Surface Reflectance Retrieval Method for ZY1-02D Hyperspectral Data by Qiongqiong Lan, Yaqing He, Qijin Han, Yongguang Zhao, Wan Li, Lu Xu, Dongping Ming

“…However, the distinctive spectral characteristics of a hyperspectral image (HSI) make it particularly susceptible to noise during the process of imaging, which inevitably degrades data quality and reduces SR accuracy. …”
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Custom YOLO Object Detection Model for COVID-19 Diagnosis by Noor Najah Ali, Aseel Hameed, Asanka G. Perera, Ali Al_Naji

“…Clinical staff can benefit from Computer Aided Diagnostics (CAD) systems that combine deep learning algorithms and image processing technologies as diagnostic tools for COVID-19. …”
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Artificial Intelligence-Assisted Fresco Restoration with Multiscale Line Drawing Generation by Guanghui Song, Hai Wang

“…Firstly, we convert the fresco images to colour space to obtain the luminance and chromaticity component images; then we process each component image to enhance the edges of the exfoliated region using high and low hat operations; then we construct a multistructure morphological filter to smooth the noise of the image. …”
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AI-Powered Synthesis of Structured Multimodal Breast Ultrasound Reports Integrating Radiologist Annotations and Deep Learning Analysis by Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, Kyu Ran Cho, Sung Eun Song

“…Our method synthesizes comprehensive breast US reports by combining the extracted information from radiologists’ annotations during routine screenings with the analysis results from deep learning algorithms on multimodal US images. Key modules in our method include image classification using visual features (ICVF), type classification via deep learning (TCDL), and automatic report structuring and compilation (ARSC). …”
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Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery by Robert Vogel, Björn Mück

“…These layers’ configuration and weighting are pivotal in developing effective models for various applications, such as image and speech recognition, natural language processing, and more specifically, surgical procedures and outcomes in hernia surgery. …”
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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

“…Image classification is a highly significant field in machine learning (ML), especially when applied to address longstanding and challenging issues in the biological sciences, such as specie recognition and biodiversity conservation. …”
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Particle Swarm Optimization on Parallel Computers for Improving the Performance of a Gait Recognition System by Shahla A. Abdulqader, Hasmek A. Krekorian

“…This study presents the use of parallel computing approaches (PCA) to implement PSO for a GR system (GRS) to decrease processing while maintaining reconstructed image quality. …”
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SpatialKNifeY (SKNY): Extending from spatial domain to surrounding area to identify microenvironment features with single-cell spatial omics data. by Shunsuke A Sakai, Ryosuke Nomura, Satoi Nagasawa, SungGi Chi, Ayako Suzuki, Yutaka Suzuki, Mitsuho Imai, Yoshiaki Nakamura, Takayuki Yoshino, Shumpei Ishikawa, Katsuya Tsuchihara, Shun-Ichiro Kageyama, Riu Yamashita

“…In this study, we developed SpatialKNifeY (SKNY), an image-processing-based toolkit that detects spatial domains that potentially reflect histology and extends these domains to the microenvironment. …”
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Detection of water surface targets based on improved Deformable DETR by Pengjiu WANG, Junbin Gong, Wei LUO, Xiao HUANG, Junjie GUO

“…Finally, the improved Deformable DETR network was obtained by integrating MobileNetV3 and the CBAM attention mechanism module. The input image processed by the the MobileNetV3-Small network embedded with CBAM, from which three multi-scale feature maps are extracted. …”
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Bayesian curriculum generation in sparse reward reinforcement learning environments by Onur Akgün, N. Kemal Üre

“…A notable feature of our algorithm is its capability for unsupervised task classification, utilizing a clustering process applicable to both image outputs and scalar values. …”
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Developing Arabic License Plate Recognition System Using Artificial Neural Network and Canny Edge Detection by Bydaa Ali Hussain, Mohammed Sadoon Hathal

“…Arabic vehicle number plate identification based on image processing is a dynamic area of this work; this technique is used for security purposes such as tracking of stolen cars and access control to restricted areas. …”
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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…Our accelerator features innovative techniques including on-FPGA map management and pipelined stereo matching with the use of descriptors instead of image patches. These advancements result in significant reduction in off-chip data transfer, memory savings, and faster processing times. …”
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A novel approach combining YOLO and DeepSORT for detecting and counting live fish in natural environments through video. by Nguyen Minh Khiem, Tran Van Thanh, Nguyen Hung Dung, Yuki Takahashi

“…The results demonstrated that the model achieved an accuracy of 89.5%, with processing times of 6.2ms for preprocessing, 387.0ms for inference and 0.9ms for postprocessing per image. …”
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An AI-Based Digital Scanner for <i>Varroa destructor</i> Detection in Beekeeping by Daniela Scutaru, Simone Bergonzoli, Corrado Costa, Simona Violino, Cecilia Costa, Sergio Albertazzi, Vittorio Capano, Marko M. Kostić, Antonio Scarfone

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Fiber Sensing in the 6G Era: Vision Transformers for <i>ϕ</i>-OTDR-Based Road-Traffic Monitoring by Robson A. Colares, Leticia Rittner, Evandro Conforti, Darli A. A. Mello

“…Backscattered traces are consolidated into space–time matrices, illustrating traffic patterns and enabling analysis through image processing algorithms. The ground truth is established by traffic parameters obtained by processing video camera images monitoring the same street using the YOLOv8 model. …”
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Dimensional Accuracy Evaluation of Single-Layer Prints in Direct Ink Writing Based on Machine Vision by Yongqiang Tu, Haoran Zhang, Hu Chen, Baohua Bao, Canmi Fang, Hao Wu, Xinkai Chen, Alaa Hassan, Hakim Boudaoud

“…The methodology encompasses three key phases: (1) establishment of an optimized hardware configuration with integrated image processing algorithms; (2) comprehensive investigation of camera calibration protocols, advanced image preprocessing techniques, and high-precision contour extraction methods; and (3) development of an iterative closest point (ICP) algorithm-enhanced evaluation system. …”
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Automatic identification of hard and soft tissue landmarks in cone-beam computed tomography via deep learning with diversity datasets: a methodological study by Yan Jiang, Canyang Jiang, Bin Shi, You Wu, Shuli Xing, Hao Liang, Jianping Huang, Xiaohong Huang, Li Huang, Lisong Lin

“…Methods A total of 498 CBCT images were collected. Following the calibration procedure, two experienced clinicians identified 43 landmarks in the x-, y-, and z-coordinate planes on the CBCT images using Checkpoint Software, creating the ground truth by averaging the landmark coordinates. …”
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Pressure-Related Discrepancies in Landsat 8 Level 2 Collection 2 Surface Reflectance Products and Their Correction by Santosh Adhikari, Larry Leigh, Dinithi Siriwardana Pathiranage

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A real-time geological sections generation method for geological 3D models based on per-pixel linked lists by Saisai Li, Zhenqiang Qin, Yuan Ding, Meizhen Wang, Bin Hu

“…Leveraging the PPLL, the proposed method utilizes highly parallel fragment shaders of the graphics processing unit to implement pixel ray-casting algorithm for section generation. …”
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A Spiderless Arachnophobia Therapy: Comparison between Placebo and Treatment Groups and Six-Month Follow-Up Study by Laura Carmilo Granado, Ronald Ranvaud, Javier Ropero Peláez

“…In this therapy, patients attend a computer presentation of images that, while not being spiders, have a subset of the characteristics of spiders. …”
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