Leveraging AI to Investigate Child Maltreatment Text Narratives: Promising Benefits and Addressable Risks by Wilson Lukmanjaya, Tony Butler, Sarah Cox, Oscar Perez-Concha, Leah Bromfield, George Karystianis

“…We propose a seven step framework: (1) data governance; (2) researcher vetting; (3) data deidentification; (4) data access; (5) feasibility testing of baseline methods; (6) large-scale implementation of black box algorithms; and (7) domain expert result validation for such exercises to ensure careful execution and limit the risk of privacy and security breaches, bias, and unreliable conclusions.…”
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Crack Detection in Civil Infrastructure: A Method-Scenario Review by Chang Haochen, Gu Weifan, Guo Baohua, Bassir David

“…This paper presents a systematic review of crack detection technologies organized under a novel “method-scenario” framework that categorizes techniques based on their underlying algorithms and the specific application contexts (e.g., pavements, bridges, tunnels, and specialized materials). …”
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A Summary of the Existing Data on Cleft Surgical Outcomes: What Do We Not Know? by Priyanka Naidu, MBChB, MS, Alexander T. Plonkowski, MBBS, MRes, Caroline A. Yao, MD, MS, William P. Magee, III, MD, DDS

“…As the need for training in cleft surgery expands across the globe, evidence-based algorithms are essential to optimize outcomes and limit costly complications.…”
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A New Hard Problem for Post-Quantum Cryptography: Q-Problem Primitives by Mostefa Kara, Mohammad Hammoudeh, Sultan Alamri

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Ensemble-based eye disease detection system utilizing fundus and vascular structures by Hongjie Yu, Xingbo Dong

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Optimization of centrifugal compressor stages by E. V. Dubinin, B. F. Idiyatullin, N. G. Khasanov

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Autonomous control system road construction machine by Sukharev R.Yu., Semkin D.S., Ignatov S.D.

“…Improving the accuracy of work with the help of unmanned control systems is an urgent and complex area of research. This is due to the need to improve algorithms and improve sensors to more accurately de-termine the coordinates of the machine and make decisions. …”
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Exploring the Use of Virtual Reality and AI to Create Immersive, Interactive Music Experiences for Performance, Education, and Therapy by Jing Zhao, Kun Cheng

“…The findings offer a foundation for future research and development in immersive music technologies.…”
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Wearable sensing in eating episode monitoring: an updated systematic review protocol by Jiaying Zhou, Mingzhu Cai, Mayue Shi

“…Studies that focus solely on the development of algorithms or applications for these sensors will be excluded. …”
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Historical Reconstruction of Astronaut Cancer Risk: Context for Recent Solar Minima by Tony C. Slaba

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Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review by Hafsa Laçi, Kozeta Sevrani, Sarfraz Iqbal

“…Findings contribute to the existing research by outlining the characteristics of the adopted datasets and the preprocessing or augmentation techniques applied to them. …”
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A Comprehensive Vector Dataset of Bus Networks Across China for the Year 2024 by Shiguang Wang, Jinyu He, Rui Ma, Zeyang Cheng, Heng Ding

“…We designed a set of high-precision algorithms for generating bus network vector data based on electronic map APIs, which include steps such as coordinate transformation, network simplification, station projection, and topology generation. …”
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Machine learning discovery of the dielectric properties of strontium-containing condensed matter by Dongyang Huang, Jiaxing Fu, Chenghao Yu

“…The pursuit of materials with high dielectric constants has long been a central focus in both fundamental research and practical applications. Traditional theoretical predictions or first-principles calculations of dielectric constants are often challenging and require significant time and computational resources. …”
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The contingencies of platform power and risk management in the gig economy by Niels van Doorn

“…What do we miss about the daily operations of platform power, and about power dynamics in the gig economy more broadly, when focusing on algorithmic management as the primary source of subordination and precarity in the workplace? …”
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Professional Judgment and Skepticism Amidst the Interaction of Artificial Intelligence and Human Intelligence by Delia DELIU

“…However, it also raises ethical concerns regarding data privacy, algorithmic bias, and accountability. These concerns highlight the importance of maintaining human oversight and ethical standards in audit practices. …”
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Sentiment Analysis and Classification of User Reviews of the 'Access by KAI' Application Using Machine Learning Methods to Improve Service Quality by Hildegardis Kristina saka, Putri Taqwa Prasetyaningrum

“…This research applies sentiment analysis to understand user perceptions of the Access by KAI application, especially specific aspects such as speed, payment process, and user interface (UI/UX). …”
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TIBA: A web application for the visual analysis of temporal occurrences, interactions, and transitions of animal behavior. by Nicolai Kraus, Michael Aichem, Karsten Klein, Etienne Lein, Alex Jordan, Falk Schreiber

“…Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …”
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Detecting Textual Propaganda Using Machine Learning Techniques by Akib Mohi Ud Din Khanday, Qamar Rayees Khan, Syed Tanzeel Rabani

“…Propaganda is one of the systematic and deliberate attempts used for influencing people for the political, religious gains. In this research paper, efforts were made to classify Propagandist text from Non-Propagandist text using supervised machine learning algorithms. …”
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Text Analytics of Customers on Twitter: Brand Sentiments in Customer Support by Iman Raeesi Vanani

“…A rich phase of text pre-processing has been conducted and various algorithms of sentiment analysis were applied for the purpose of achieving the most significant analytical conclusions over the sentiment trends. …”
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Creating Worlds that Create Audiences: Theorising Personal Data Markets in the Age of Communicative Capitalism by Vassilis Charitsis, Detlev Zwick, Alan Bradshaw

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