Deep Point Cloud Facet Segmentation and Applications in Downsampling and Crop Organ Extraction by Yixuan Wang, Chuang Huang, Dawei Li

“…First, to overcome the bottleneck where inaccurate empty-facet detection impairs the downsampling performance, a facet-abstracted downsampling method is introduced. …”
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Contact morphology of sand particles in dunes by Fernando Alonso-Marroquin, Sarmad Zafar Khan, Abdullah Alqubalee, Peter Mora, Abdullatif Al-Shuhail

“…The 3D granular space is segmented via an advanced adaptive watershed algorithm. The grain segmentation is used for contact detection and contact network extraction. …”
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A low-cost platform for automated cervical cytology: addressing health and socioeconomic challenges in low-resource settings by José Ocampo-López-Escalera, Héctor Ochoa-Díaz-López, Xariss M. Sánchez-Chino, César A. Irecta-Nájera, Saúl D. Tobar-Alas, Martha Rosete-Aguilar

“…However, its effectiveness in low-resource settings has been limited, among other factors, by insufficient diagnostic infrastructure and a shortage of trained healthcare personnel.MethodsThis paper introduces the development of a low-cost microscopy platform designed to address these limitations by enabling automatic reading of cervical cytology slides. The system features a robotized microscope capable of slide scanning, autofocus, and digital image capture, while supporting the integration of artificial intelligence (AI) algorithms. …”
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Multiclass Fault Diagnosis in Power Transformers Using Dissolved Gas Analysis and Grid Search-Optimized Machine Learning by Andrew Adewunmi Adekunle, Issouf Fofana, Patrick Picher, Esperanza Mariela Rodriguez-Celis, Oscar Henry Arroyo-Fernandez, Hugo Simard, Marc-André Lavoie

“…To address these limitations, this study proposes a unified multiclass classification model that integrates traditional gas ratio features with supervised machine learning algorithms to enhance fault diagnosis accuracy. …”
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Social Media Suicide Watch by Katherine Prothro

“…Her own Twitter account revealed signals of her worsening mental health crisis.[1] While better content censoring could have helped, an algorithm capable of detecting her worsening mental state and alerting trusted individuals could have also served as a crucial safety net. …”
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Workpiece Coordinate System Measurement for a Robotic Timber Joinery Workflow by Francisco Quitral-Zapata, Rodrigo García-Alvarado, Alejandro Martínez-Rocamora, Luis Felipe González-Böhme

“…The workflow includes camera-to-robot calibration, point cloud acquisition, robust detection of workpiece features, and precise alignment of the WCS. …”
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INFORMATION TECHNOLOGY FOR RECOGNITION OF ROAD SIGNS USING A NEURAL NETWORK by Elena Yashina, Roman Artiukh, Nikolai Рan, Andrei Zelensky

“…Results: Different approaches to the identification of symbols on images, various software tools for object recognition, image transformation for optimal fragment are considered. An algorithm for detecting and recognizing the sign is developed. …”
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Node-Based Graph Convolutional Network With SLIC Method for Breast Cancer Ultrasound Images Classification by Kien Trang, Fung Fung Ting, Bao Quoc Vuong, Chee-Ming Ting

“…Utilizing the Simple Linear Iterative Clustering (SLIC) algorithm, superpixels are segmented and treated as nodes and connected based on color similarity and spatial proximity. …”
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A new method for early diagnosis and treatment of meniscus injury of knee joint in student physical fitness tests based on deep learning method by Yan Fang, Lu Liu, Qingyu Yang, Shuang Hao, Zhihai Luo

“…The present study employs a method whereby image noise is first reduced, followed by the implementation of an enhanced iteration of the U-Net algorithm to perform image segmentation and identify regions of interest for potential injury detection. …”
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Transient Attracting Profiles in the Great Pacific Garbage Patch by L. Kunz, A. Griesel, C. Eden, R. Duran, R. Duran, B. Sainte-Rose

“…However, the concept remains unapplied since little is known about the persistence and attraction of these features, specifically within the Pacific. Therefore, we compute a 20-year dataset of daily TRAP detections from satellite-derived mesoscale velocities within the North Pacific subtropical gyre. …”
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MRI-based machine learning analysis of perivascular spaces and their link to sleep disturbances, dementia, and mental distress in young adults with long-time mobile phone use by Li Li, Yalan Wu, Jiaojiao Wu, Bin Li, Rui Hua, Feng Shi, Lizhou Chen, Yeke Wu

“…ObjectiveLong-term mobile phone use (LTMPU) has been linked to sleep disorders, mood disorders, and cognitive impairment, with MRI-detected enlarged perivascular spaces (EPVSs) as potential imaging markers. …”
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Mixed Event-Frame Vision System for Daytime Preceding Vehicle Taillight Signal Measurement Using Event-Based Neuromorphic Vision Sensor by Zhengfa Liu, Guang Chen, Ya Wu, Jiatong Du, Jörg Conradt, Alois Knoll

“…An important aspect of the perception system for intelligent vehicles is the detection and signal measurement of vehicle taillights. …”
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Investigation of Personalized Visual Stimuli via Checkerboard Patterns Using Flickering Circles for SSVEP-Based BCI System by Nannaphat Siribunyaphat, Natjamee Tohkhwan, Yunyong Punsawad

“…The second study utilizes personalized visual stimuli to enhance SSVEP responses. SSVEP detection was performed using power spectral density (PSD) analysis by employing Welch’s method and relative PSD to extract SSVEP features. …”
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Restoration of Turbid Underwater Images of Cobalt Crusts Using Combined Homomorphic Filtering and a Polarization Imaging System by Enzu Peng, Chengyi Liu, Haiming Zhao

“…To effectively exploit these valuable resources, underwater imaging is essential for real-time detection and distribution mapping in mining areas. …”
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Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

“…Robust detection of prostatic cancer is a challenge due to the multitude of variants and their representation in MR images. …”
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CURRENT COMPUTER TECHNOLOGIES IN THE DIAGNOSIS OF TRACHEOMALACIA IN PATIENTS WITH CICATRICIAL TRACHEAL STENOSIS IN THE PERIOPERATIVE PERIOD by I. M. Koroleva, M. A. Mishchenko

“…The patients’ postoperative features were taken into consideration. Diagnostic performance measures, such as sensitivity, specificity, and accuracy, were calculated. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…These threats are chiefly related to serverless structures owing to their features, such as auto-scaling, pay-as-you-go method, cost amplification, and limited control. …”
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Topology-aware pathway analysis of spatial transcriptomics by Siras Hakobyan, Maria Schmidt, Hans Binder, Arsen Arakelyan

“…In this study, we address that gap by translating gene expression into pathway-level activity using the Pathway Signal Flow (PSF) algorithm. PSF integrates expression data with curated interaction networks to compute numeric activity scores for each branch of a biological pathway, producing a functionally annotated feature space that captures downstream signaling effects as branch-specific activity values. …”
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Waveform Information Accurate Extraction for Massive and Complex Waveform Data of Hyperspectral Lidar by Shuo Shi, Chengyu Gong, Qian Xu, Ao Wang, Xingtao Tang, Sifu Bi, Wei Gong

“…Furthermore, this study proposes a multi-channel-assisted optimization algorithm that can precisely extract faint and overlapping echoes that a single-channel algorithm cannot extract. …”
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Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics by Tie Deng, Junbang Feng, Xingyan Le, Yuwei Xia, Feng Shi, Fei Yu, Yiqiang Zhan, Xinghua Liu, Chuanming Li

“…PC and BP were automatically recognized, segmented using VB-net and radiomics features were automatically extracted. Four machine learning algorithms including Decision Trees, Logistic Regression, Random Forests and Support Vector Machines(SVM) were using to built the models. …”
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