Adaptive High-Precision 3D Reconstruction of Highly Reflective Mechanical Parts Based on Optimization of Exposure Time and Projection Intensity by Ci He, Rong Lai, Jin Sun, Kazuhiro Izui, Zili Wang, Xiaojian Liu, Shuyou Zhang

“…Experimental validation was carried out on three sets of typical mechanical components with diverse geometric characteristics and varying complexity. Compared with both non-saturated single-exposure techniques and conventional image fusion methods employing fixed attenuation steps, the proposed method reduced the average whisker range of reconstruction error by 51.18% and 25.09%, and decreased the median error by 42.48% and 25.42%, respectively. …”
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Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis by Ali Tarighatnia, Masoud Amanzadeh, Mahnaz Hamedan, Alireza Mohammadnia, Nader D. Nader

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Characteristics and Mechanisms of Long-lived Concentric Eyewalls in Typhoon Lekima in 2019 by Liu Tao, Duan Yihong, Feng Jianing, Wang Hui

“…Observational analysis indicates that secondary eyewall formation (SEF) happens at about 0600 UTC 8 August 2019. …”
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Radiomic Analysis and Liquid Biopsy in Preoperative CT of NSCLC: An Explorative Experience by Maria Paola Belfiore, Mario Sansone, Giovanni Ciani, Vittorio Patanè, Carlotta Genco, Roberta Grassi, Giovanni Savarese, Marco Montella, Riccardo Monti, Salvatore Cappabianca, Alfonso Reginelli

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LEGAL FOUNDATIONS OF CIVIL PROCEEDINGS IN UKRAINE AND IRELAND: A COMPARATIVE ANALYSIS by Alina S. Chala, V.V. Barankova

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Semantic enhancement and cross-modal interaction fusion for sentiment analysis in social media. by Guangyu Mu, Ying Chen, Xiurong Li, Li Dai, Jiaxiu Dai

“…Thus, this paper presents a Semantic Enhancement and Cross-Modal Interaction Fusion (SECIF) model for sentiment analysis to address these issues. Firstly, BERT and ResNet extract feature representations from text and images. …”
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Topographic Independent Component Analysis reveals random scrambling of orientation in visual space. by Marina Martinez-Garcia, Luis M Martinez, Jesús Malo

“…While most of the existing descriptions take purely geometric/mechanistic approaches which disregard the network function, a clear exception to this trend in the literature is the original approach of Hyvärinen and Hoyer based on infomax and Topographic Independent Component Analysis (TICA). Although TICA successfully addresses a number of other properties of V1 simple and complex cells, in this work we question the validity of the orientation maps obtained from TICA. …”
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Experience of using robot-assisted (da Vinci) operations in the treatment of common endometriosis by A. K. Politova, A. D. Aleksandrova, Yu. A. Vershinina, A. A. Politova, M. I. Rokhlina

“…To study the results of surgical treatment of patients with severe forms of genital endometriosis using the da Vinci surgical robotic complex.Materials and methods. A retrospective analysis of the treatment results of 51 patients operated on at the N.I. …”
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Vehicle detection and recognition approach in smart surveillance system: A comparative analysis by Stephanie Ness

“…This paper addresses the key issue of vehicle detection and recognition, for these two complex datasets, VRiV and UCSD are considered to segregate between vehicle and non-vehicle objects using video analysis. …”
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Drawing on the Walls: Graffiti, Street Art or Walls in Time. Analysis of the Torrevieja Experience. by Pablo Jeremías Juan Gutiérrez, Carlos L. Marcos

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Traffic Pattern Analysis at Urban Intersections through Vehicle Detection in Aerial Imagery by R. Bahmanyar, J. Hellekes, M. Mühlhaus, V. Gstaiger, F. Kurz

“…This paper explores the application of aerial image sequences to analyze vehicle flows at urban intersections, with the goal of generating data that can inform adaptive traffic signal timing and improve urban mobility in complex, interconnected road networks. …”
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Stability Analysis of Soil and Rock Mixed Slope Based on Random Heterogeneous Structure by Yafei Wang, Zhanrong Zhang, Xingpei Kang, Hao Xie, Chenchen Wang, Kun Liu

“…Due to the complexity in the heterogeneous internal structure and interactions between rocks and soil, the slide of soil–rock mixed slope is usually more complex than that of a homogeneous soil slope. …”
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Application Research of Key Frames Extraction Technology Combined with Optimized Faster R-CNN Algorithm in Traffic Video Analysis by Zhi-guang Jiang, Xiao-tian Shi

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Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review by Habiba Njeri Ngugi, Andronicus A. Akinyelu, Absalom E. Ezugwu

“…In terms of comparative performance, DL architectures like ResNet50, VGG16, and convolutional neural network demonstrated robust accuracy (95–99%) across diverse datasets, underscoring their effectiveness in managing complex image data. Additionally, traditional ML models exhibited varied strengths; for instance, SVM performed better on balanced datasets, while RF excelled with imbalanced data. …”
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Multimodal Particulate Matter Prediction: Enabling Scalable and High-Precision Air Quality Monitoring Using Mobile Devices and Deep Learning Models by Hirokazu Madokoro, Stephanie Nix

“…Building on these insights, we implemented a CLIP-based system for 2D image analysis that achieved a Top-1 accuracy of 0.24 and a Top-5 accuracy of 0.52 when tested on diverse smartphone-captured images. …”
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A Cascaded Defect Detection Algorithm for Track Components by LIN Jun, KANG Gaoqiang, TU Zhenwei, XU Yanghan, YUE Wei, XIONG Qunfang

“…At the same time, in view of the problem that the categories of rail defects are complex and subtle and easy to mix, a two-stage defect detection network of "instance segmentation + fine-grained image classification" is proposed, and label smoothing technology is introduced to improve model adaptability and classification accuracy. …”
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Forensic Handwriting Investigation Using Digital Photographic Copies of Documents by M. V. Zhizhina

“…The author considers this practice unacceptable.The article reviews a complex of issues related to determining the properties and attributes of images – handwriting objects presented in photocopies of documents, their qualitative characteristics, and other factors essential for conducting forensic handwriting examinations and formulating relevant conclusions.…”
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Artificial Intelligence for Alzheimer’s Disease Detection: Enhancing Biomarker Analysis and Diagnostic Precision by Richa Gupta, Zoya Iftekhar

“…AI technologies can transform AD detection by significantly improving diagnostic imaging techniques, identifying key biomarkers, and standardizing the analysis of complex neuroimaging data. …”
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Tell me why: A scoping review on the fundamental building blocks of fMRI-based network analysis by Z. van der Pal, L. Douw, A. Genis, D. van den Bergh, M. Marsman, A. Schrantee, T.F. Blanken

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High-sensitivity detection of copper ions in water via cellulose nanomaterial nano-antennas and DFT studies by Arwa Alharbi, Abdullah A.A. Sari, Ali H. Alessa, Razan M. Snari, Hatun H. Alsharief, Ibrahim S.S. Alatawi, E.F.M. El-Zaidia, Nashwa M. El-Metwaly

“…The copper nano-antenna (CNA) has an impressively high sensitivity, detecting as low as 2.5 × 10–7 M through image analysis and 4.3 × 10–8 M with spectrophotometric methods. …”
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