Current Topics on the Integration of Artificial Intelligence in the Histopathological and Molecular Diagnosis of Uveal Melanoma by Serena Salzano, Giuseppe Broggi, Andrea Russo, Teresio Avitabile, Antonio Longo, Rosario Caltabiano, Manuel Mazzucchelli

“…Particular focus is placed on its role in histopathological assessments of UM, where algorithms facilitate the analysis of whole-slide images (WSIs). …”
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Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization by Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

“…This study presents a novel approach for object detection and tracking in aerial images using a multi-scale Northern Goshawk Pyramid Generative Adversarial Network (NGPGAN). The research evaluates different algorithms and features to identify people, trees, cars, and buildings in real-world drone videos, addressing challenges in pinpointing specific objects among multiple entities. …”
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Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization by Saâd Soulaimani, Saâd Soulaimani, Ayoub Soulaimani, Kamal Abdelrahman, Abdelhalim Miftah, Mohammed S. Fnais, Biraj Kanti Mondal

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Modern treatment strategies in patients with vascular comorbidity Part 1. Correcting tissue energy deficiency by S. A. Rumyantseva, R. G. Oganov, E. V. Silina, V. A. Stupin, S. B. Bolevich, S. P. Svishcheva, A. S. Orlova, A. N. Komarov, V. A. Orlov, O. V. Abroskina, E. V. Eliseev, O. A. Sokhova, M. D. Bogatyreva

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Opportunistic Diagnostics of Dental Implants in Routine Clinical Photon-Counting CT Acquisitions by Maurice Ruetters, Holger Gehrig, Christian Mertens, Sinan Sen, Ti-Sun Kim, Heinz-Peter Schlemmer, Christian H. Ziener, Stefan Schoenberg, Matthias Froelich, Marc Kachelrieß, Stefan Sawall

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Field-programmable robotic folding sheet by Hyunkyu Park, Yongrok Jeong, Woojong Kim, Jungrak Choi, Junseong Ahn, Jun-Ho Jeong, Inkyu Park, Jung Kim

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Analysis of space solar array arc images based on deep learning techniques by Afaf M. Abd El-Hameed, Ahmed S. Farahat, Khaled Y. Youssef, M. Elfarran, I. M. Selim

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Fused Space in Architecture via Multi-Material 3D Printing Using Recycled Plastic: Design, Fabrication, and Application by Jiangjing Mao, Lawrence Hsu, Mai Altheeb

“…Furthermore, to generate diverse properties for the fused space, several nature-inspired forming algorithms are employed, including Swarm Behavior, Voronoi, Game of Life, and Shortest Path, to shape the building enclosure. …”
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Distribution station inspection robot with modular manipulator by Qihui Yu, Qinglong Zhang, Guoxin Sun, Ripeng Qin

“…Additionally, it provides a versatile hardware platform for the development of algorithms and related research. Experimental results confirm the robot’s operational performance across a variety of scenarios, offering solid technological support for the realization of fully unmanned substation operations.…”
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Recent advances in AI-based toxicity prediction for drug discovery by Hyundo Lee, Jisan Kim, Ji-Woon Kim, Yoonji Lee, Yoonji Lee

“…Ongoing advances in databases, algorithms, and computational power have further expanded AI’s role in pharmaceutical research. …”
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Modeling Techniques and Boundary Conditions in Abdominal Aortic Aneurysm Analysis: Latest Developments in Simulation and Integration of Machine Learning and Data-Driven Approaches by Burcu Ramazanli, Oyku Yagmur, Efe Cesur Sarioglu, Huseyin Enes Salman

“…Research on abdominal aortic aneurysms (AAAs) primarily focuses on developing a clear understanding of the initiation, progression, and treatment of AAA through improved model accuracy. …”
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A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach by Yaron Ogen, Michael Denk, Cornelia Glaesser, Holger Eichstaedt

“…Results of this study are not limited to tailing samples but can be applied on other fields of research such as geology, pedology or agriculture.…”
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Development and selection of stably expressed reference genes for expression normalization in Ribes odoratum under drought stress by Jun Xu, Ting Li, Xiaowen Liu, Wenjun Shi, Defang Zhang, Yajun Chang

“…These results provided for the first time a comprehensive list of stable reference genes for the normalization of qPCR analyses in Ribes odoratum under drought stress and will benefit the in-depth molecular biology research in the future.…”
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Physiological and behavioral data on active and traditional learning in engineering educationMendeley Data by José Roberto Dale Luche, Claudia Regina de Freitas, Blaha Gregory Correia dos Santos Goussain, Messias Borges Silva

“…Participants were first exposed to a 15-minute video lecture introducing the One-Dimensional Cutting Stock Problem, its industrial applications, and heuristic algorithms such as Next Fit, First Fit, and First Fit Decreasing. …”
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A systematic review of ulcer detection methods in wireless capsule endoscopy by Ahmmad Musha, Rehnuma Hasnat, Abdullah Al Mamun, Md Sohag Hossain, Md Jakir Hossen, Tonmoy Ghosh

“…Implementing a computer-aided ulcer detection system can facilitate the automatic evaluation of these images. Methods: Many researchers have proposed various models to develop automatic ulcer detection methods. …”
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Adjusted imbalance ratio leads to effective AI-based drug discovery against infectious disease by Ons Masmoudi, Afef Abdelkrim, Emna Harigua-Souiai

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RussianLanguage Thesauri: Automated Construction and Application For Natural Language Processing Tasks by Nadezhda S. Lagutina, Ksenia V. Lagutina, Aleksey S. Adrianov, Ilya V. Paramonov

“…The authors analyzed the main characteristics of open access thesauri for scientific research, evaluated trends of their development, and their effectiveness in solving natural language processing tasks. …”
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Entry point of machine learning in axial spondyloarthritis by Tiantian Sun, Qing Yu, Yuening Chen, Hongxiao Liu, Xinning Qu

“…By integrating large-scale data with diverse algorithms and using multidimensional data, such as patient medical records, laboratory examinations, radiological data, drug usage and molecular biology information, ML can be modelled based on real-world clinical issues. …”
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Evolution and Knowledge Structure of Wearable Technologies for Vulnerable Road User Safety: A CiteSpace-Based Bibliometric Analysis (2000–2025) by Gang Ren, Zhihuang Huang, Tianyang Huang, Gang Wang, Jee Hang Lee

“…Comparative analysis across pedestrians, cyclists and motorcyclists, and persons with disabilities shows three parallel transitions: single- to multisensory interfaces, reactive to predictive systems, and isolated devices to V2X-enabled ecosystems. Contemporary research emphasizes context-adaptive interfaces, seamless V2X integration, and user-centered design, and future work should focus on lightweight communication protocols, adaptive sensory algorithms, and personalized safety profiles. …”
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An Efficient and Low-Complexity Transformer-Based Deep Learning Framework for High-Dynamic-Range Image Reconstruction by Josue Lopez-Cabrejos, Thuanne Paixão, Ana Beatriz Alvarez, Diodomiro Baldomero Luque

“…The results of this research suggest that low-complexity Transformer-based architectures have great potential, with applications extending beyond HDR reconstruction to other domains.…”
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