Arouse-Net: Enhancing Glioblastoma Segmentation in Multi-Parametric MRI with a Custom 3D Convolutional Neural Network and Attention Mechanism by Haiyang Li, Xiaozhi Qi, Ying Hu, Jianwei Zhang

“…The findings of this research not only advance the field of medical image analysis but also provide a foundation for future work in the development of automated segmentation tools for brain tumors.…”
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The amount of DNA and RNA in primary cancer cells and their metastases by Oleksandr Herasymenko, Kostyantyn Gerasymenko, Olha Herasymenko

“…The following methods were employed: microspectrophotometric analysis using the automated complex “Protva-PM11-DVK-3m,” staining of histological specimens with halo cyanin-chrome alum, the discrete statistics method, frequency and cluster analysis, and the bibliographic method. …”
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Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification by Xiaohang Zhou, Lu Cao, Inamullah Khan, Qiao Li

“…Then, MF along with an automated structural element (SE) size determination technique was adopted to suppress the noise components. …”
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Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics by Jihan Wang, Zhengxiang Zhang, Yangyang Wang

“…Artificial intelligence (AI)-powered feature selection offers promising solutions to these issues by automating and refining the feature extraction process. …”
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An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology by Yuan Xu, Chunhong Zhang, Yang Ji

“…In this paper we propose an automated method to construct the IOT ontology. First, we explain the necessity of introducing ontology automatic construction in IOT system and summarize the major challenges in existing approaches. …”
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Secret sharing-based authentication and key agreement protocol for machine-type communications by Ana Paula G Lopes, Lucas O Hilgert, Paulo RL Gondim, Jaime Lloret

“…The safety of the protocol was formally verified through simulations conducted by automated validation of internet security protocols and applications.…”
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DRCCT: Enhancing Diabetic Retinopathy Classification with a Compact Convolutional Transformer by Mohamed Touati, Rabeb Touati, Laurent Nana, Faouzi Benzarti, Sadok Ben Yahia

“…The model’s ability to classify retinal images into five distinct diabetic retinopathy categories demonstrates its potential to significantly improve automated diagnosis and aid in clinical decision-making.…”
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A Multidisciplinary Multimodal Aligned Dataset for Academic Data Processing by Haitao Song, Hongyi Xu, Zikai Wang, Yifan Wang, Jiajia Li

“…We also outline prospective applications for MMAD, providing the way for novel research endeavors, including automated caption generation and analysis of trends in figures. …”
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Diabetic Muscle Infarction: A Rare Cause of Acute Limb Pain in Dialysis Patients by G. De Vlieger, B. Bammens, F. Claus, R. Vos, K. Claes

“…In the current paper, we present two diabetic patients with cystic fibrosis, who are treated with automated peritoneal dialysis and suffered from episodic lower limb infarction. …”
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Evaluating Large Language Models for Optimized Intent Translation and Contradiction Detection Using KNN in IBN by Muhammad Asif, Talha Ahmed Khan, Wang-Cheol Song

“…This approach significantly enhances scalability and policy compliance in automated network environments.…”
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Innovative approaches to optimizing taxation in organizations by E. A. Kirova, E. A. Ponomarenko

“…As a result of the conducted research on the example of Technoprom the organizations are offered to determine the tax burden and forecast its dynamics in the future, as well as to apply innovative approaches to optimize taxation on the basis of artificial intelligence through the use of methods of automating tax accounting and reporting and blockchain technology. …”
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A Comprehensive Review of Facial Beauty Prediction Using Multi-task Learning and Facial Attributes by Ali H. Ibrahem, Adnan M. Abdulazeez

“…By synthesizing insights from psychology and machine learning, this work highlights the potential of interdisciplinary approaches to enhance the reliability and inclusivity of automated beauty prediction systems. …”
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Large Language Models as Evaluators in Education: Verification of Feedback Consistency and Accuracy by Hyein Seo, Taewook Hwang, Jeesu Jung, Hyeonseok Kang, Hyuk Namgoong, Yohan Lee, Sangkeun Jung

“…This study aimed to verify the consistency and reliability of LLMs as evaluators by conducting automated evaluations using various LLMs based on five educational evaluation criteria. …”
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Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic. by Nouman Butt, Muhammad Munwar Iqbal, Shabana Ramzan, Ali Raza, Laith Abualigah, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…To address these issues, this research examines the implementation of an automated disease classification system using deep learning and optimal feature selection. …”
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BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

“…A large deep learning model was trained on this compilation and preliminary results suggest it has utility for automating large and small-scale image analysis tasks. …”
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Understanding Counterspeech for Online Harm Mitigation by Yi-Ling Chung, Gavin Abercrombie, Florence Enock, Jonathan Bright, Verena Rieser

“…Advances in the development of large language models mean that the process of producing counterspeech could be made more efficient by automating its generation, which would enable large-scale online campaigns. …”
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A Practical and Economical Ultra-wideband Base Station Placement Approach for Indoor Autonomous Driving Systems by Shengchuan Jiang, Cong Zhao, Yifan Zhu, Chenwei Wang, Yuchuan Du

“…Automated valet parking (AVP) has attracted much attention as the entry point to autonomous driving. …”
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An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool by Thomas F. Quatieri, Jing Wang, James R. Williamson, Richard DeLaura, Tanya Talkar, Nancy P. Solomon, Stefanie E. Kuchinsky, Megan Eitel, Tracey Brickell, Sara Lippa, Kristin J. Heaton, Douglas S. Brungart, Louis French, Rael Lange, Jeffrey Palmer, Hayley Reynolds

“…<italic>Goal:</italic> This paper introduces an automated post-traumatic stress disorder (PTSD) screening tool that could potentially be used as a self-assessment or inserted into routine medical visits to aid in PTSD diagnosis and treatment. …”
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The Impact of Artificial Intelligence, Ethical Implications and Technologies on the Electoral Process by Itumeleng Michael Maine, Bukohwo Michael Esiefarienrhe

“…Also discussed are the various ways that AI can be used negatively to influence voters namely deepfakes, automated bots, data privacy breaches, microtargeting, psychological profiles of voters, voting pattern prediction, and cyberattacks of electronic devices with the intention to rig elections. …”
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Spontaneous Reattachment of a Posteriorly Dislocated Endothelial Graft: A Case Report by Ka Wai Kam, Alvin L. Young

“…A thirty-year-old Chinese man with a history of severe trauma to his right eye, with secondary sectoral aniridia and multiple operations including intraocular lens insertion more than fifteen years ago, underwent an uneventful Descemet's Stripping Automated Endothelial Keratoplasty (DSAEK) for his pseudophakic bullous keratopathy in a tertiary hospital in Hong Kong. …”
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