Results 121 to 130 of about 518,707 (267)
The digitization of the scientific sphere opens up new opportunities for preserving, analyzing, and accessing information. At the same time, it creates new challenges related to the development of effective tools for data management.
L. Nikiforova, I. Dohtieva, S. Zharinov
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Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Recommendations for clinical and molecular identification of LS, surgical and endoscopic management of LS‐associated colorectal cancer and preventive measures for cancer were produced. The emphasis was on surgical and gastroenterological aspects of the cancer spectrum.
T. T. Seppälä +18 more
wiley +1 more source
A brief historical review of community technical aid and community architecture [PDF]
Jenkins, P, Milner, J, Sharpe, T
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Social responsibility for architects in a global construction practice
This article seeks to conceptualise an understanding of the role and the nature of socially responsible architects and their architectural firms in a rapidly growing global construction market.
Clarissa Rhomberg
doaj
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
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The Insistence of Blackness and the Persistence of Antiblackness in Ireland
ABSTRACT This paper positions Ireland as a critical site for examining the insistence of blackness and an antiblackness created and sustained through Irish ethnonationalist imaginaries and exclusionary processes. Drawing on connected sociologies and Irish Black Studies, this enquiry argues that antiblackness in Ireland operates as a generational force,
Philomena Mullen
wiley +1 more source

