Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation by G. V. S. Sudhamsh, S. Girisha, R. Rashmi

“…Abstract Pathologists have depended on their visual experience to assess tissue structures in smear images, which was time-consuming, error-prone, and inconsistent. …”
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Patients skin dose measurements during interventional radiological examinations using Gafchromic XR-RV3 FILM by Svetlana S. Sarycheva

“…The paper discusses the features of measurements with GafchromiC XR-RV3 films. The method of film digitization on conventional flatbed scanner and image processing with the ImageJ program was tested. …”
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Research Opportunity Analysis in The Implementation of Scientific Literacy with Learning Media: Systematic Literature Network Analysis by Olyivia Retdwina Rusma, Muslim Muslim, Lilit Rusyati, Adlina Eugenia Fatimah Ghaisani

“…This research uses the Systematic Literature Network Analysis (SLNA) method. The data used in this study is a collection of several articles based on Scopus data taken using the Publish or Perish (PoP) search. …”
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Novel Organic-Inorganic Hybrid Polystyrene Nanoparticles with Trichromatic Luminescence for the Detection of Latent Fingerprints by Xiao Wang, Tao Liao, Haiyan Wang, Hongxia Hao, Qinglai Yang, Hong Zhou, Yu Ma, Minjie Zhi, Jiahao Wang, Ruihang Fan

“…The PSNPs were synthesized by encapsulated Eu(DBM)3phen, coumarin 6, and FDBT into the polystyrene nanoparticles through the swelling method and applied them to visualize latent fingerprints. …”
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Magnetic Flux Leakage Sensing-Based Steel Cable NDE Technique by Seunghee Park, Ju-Won Kim, Changgil Lee, Jong-Jae Lee

“…In addition, the measured magnetic flux signals were visualized as a 3D MFL map for intuitive cable monitoring. …”
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Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

“…Detecting epileptic seizures automatically through intelligent methods has been a main challenge in recent years. …”
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Guest Editorial: Anomaly detection and open‐set recognition applications for computer vision by Hakan Cevikalp, Robi Polikar, Ömer Nezih Gerek, Songcan Chen, Chuanxing Geng

“…This special issue calls for original contributions introducing novel datasets, innovative architectures, and advanced training methods for tasks related to visual anomaly detection and open‐set recognition.…”
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Contextual Attribution Maps-Guided Transferable Adversarial Attack for 3D Object Detection by Mumuxin Cai, Xupeng Wang, Ferdous Sohel, Hang Lei

“…Subsequently, perturbations are generated under the guidance of a dual loss, which is proposed to suppress the detection results and maintain visual imperception simultaneously. The experimental results proved that the CAMGA method achieved an attack success rate of over 68% on three large-scale datasets and 83% on the KITTI dataset. …”
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Use of End-to-End Tool for the Analysis of the Digital Governance of Ports by Nicoletta González-Cancelas, Alberto Camarero Orive, Alberto Rivas Vilarchao, Javier Vaca-Cabrero

“…In addition, it provides an intuitive and easy-to-use interface to visualize results and make evidence-based decisions. …”
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Intelligent BIM Searching via Deep Embedding of Geometric, Semantic, and Topological Features by Pin-Hao Huang, Sheng-Yu Song, Zhen Xu, Zhen-Zhong Hu, Jia-Rui Lin

“…Experiments show that the proposed approach demonstrates an efficiency of 780 times greater than manual retrieval methods and 4–6% more efficient than traditional methods. …”
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Non-local spatiotemporal fusion incorporating optical flow estimation and spatial-spectral mitigation-based residual by Yaxu Wang, Xiaobo Luo, Hongwei Ye

“…Extensive experiments demonstrate that our method outperforms other weighted-based methods visually and quantitatively.…”
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A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX) by Jong-Hwan Jang, Yong-Yeon Jo, Sora Kang, Jeong Min Son, Hak Seung Lee, Joon-myoung Kwon, Min Sung Lee

“…Through a series of validation experiments, the framework demonstrates its ability to produce counterfactual ECGs that closely align with established clinical knowledge, including characteristic alterations associated with potassium imbalances and atrial fibrillation. By clearly visualizing how incremental modifications in ECG morphology and rhythm affect artificial intelligence-applied ECG (AI-ECG) predictions, this generative counterfactual method moves beyond static attribution maps and has the potential to increase clinicians’ trust in AI-ECG systems. …”
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The paradigm of the digital society: synthesis of technocratic and socio-humanitarian approaches by Sholpan Jamanbalayeva, Elena Burova, Ayazhan Sagikyzy, Dinara Zhanabayeva, Alyona Adamidi

“…The article employs a triangulation method: it analyzes data from an international digital readiness index study, examines and visualizes national statistical data and digitalization program indicators and presents the results of a sociological study on societal digitalization conducted by the authors. …”
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Data Augmentation-Driven Improvements in Malignant Lymphoma Image Classification by Sandi Baressi Šegota, Vedran Mrzljak, Ivan Lorencin, Nikola Anđelić

“…However, the effectiveness of such methods is often constrained by the limited availability of annotated medical data. …”
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Simulations and Experiments on Vibration Control of Aerospace Thin-Walled Parts via Preload by Qiong Wu, Lei Li, Yi-Du Zhang

“…Thus, this research introduces the method where vibration of aerospace thin-walled parts is reduced by preload. …”
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RIS-UNet: A Multi-Level Hierarchical Framework for Liver Tumor Segmentation in CT Images by Yuchai Wan, Lili Zhang, Murong Wang

“…Extensive experiments on the LiTS17 dataset demonstrate the effectiveness of our method on accuracy, efficiency, and visual results for liver tumor segmentation.…”
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Experimental therapy of epilepsy with transcranial magnetic stimulation: lack of additional benefit with prolonged treatment by Brasil-Neto Joaquim P., Araújo Doralúcia P. de, Teixeira Wagner A., Araújo Valéria P., Boechat-Barros Raphael

“…OBJECTIVE: To investigate the effect of three months of low-frequency repetitive transcranial magnetic stimulation (rTMS) treatment in intractable epilepsy. METHODS: Five patients (four males, one female; ages 6 to 50 years), were enrolled in the study; their epilepsy could not be controlled by medical treatment and surgery was not indicated. rTMS was performed twice a week for three months; patients kept records of seizure frequency for an equal period of time before, during, and after rTMS sessions. rTMS was delivered to the vertex with a round coil, at an intensity 5 % below motor threshold. …”
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FRACTAL ANALYSIS IN ESTIMATING THE FRAGMENTATION DEGREE OF AGRICULTURAL LANDS by Florin SALA, Cosmin Alin POPESCU, Mihai Valentin HERBEI

“…From the basic image, 10 polygons with equal resolution of 735 x 840 pixels were selected. …”
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Determinant factors affecting employee’s performance in the state-owned banks sector: mediated by job satisfaction by Herizal Herizal, Al Asri Abubakar, Nita Hernita

“…Purpose – This study analyses job satisfaction, mediating the influence of work-life balance, workplace culture, and compensation on employee performance. Method – This study used a causally associative methodology and a quantitative approach. …”
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In Vitro Analysis of the Accuracy of Intraoral Scanning in Children by Eloá Cristina Passucci Ambrosio, Aliny Bisaia, Thiago Cruvinel, Natalino Lourenço Neto, Thais Marchini Oliveira, Maria Aparecida Andrade Moreira Machado

“…Objective: To evaluate the accuracy of intraoral scanning in maxillary dental arches of children. Material and Methods: Twenty-five edentulous dental models (Group 1) and 25 dental models with complete deciduous dentition (Group 2) comprised the sample sets. …”
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