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Probabilistic daily runoff forecasting in high-altitude cold regions using a hybrid model combining DBO and transformer variants

Qiying Yu, Wenzhong Li, Yungang Bai, Zhenlin Lu et al. • Journal of Hydrology: Regional Studies (2025)

Study Area: The Tailan River Basin in the Aksu region and the Yulong Kashi River in the Hotan River Basin of Xinjiang are located at respective geographical coordinates of 80°21'44'' to 81°10'14'' E, 40°41'41'' to 42°15'13'' N, and 77.25° t...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejrh.2025.102311

Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space

Emily K. Makowski, Patrick C. Kinnunen, Jie Huang, Lina Wu et al. • Nature Communications (2022)

Optimising antibody properties such as affinity can be detrimental to other key properties. Here the authors use machine learning to simplify the identification of antibodies with co-optimal levels of affinity and specificity for a clinical...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-022-31457-3

Machine Learning in Medical Imaging

Miles N. Wernick, Yongyi Yang, Jovan G. Brankov, Grigori Yourganov et al. • IEEE Signal Processing Magazine (2010)

This article will discuss very different ways of using machine learning that may be less familiar, and we will demonstrate through examples the role of these concepts in medical imaging. Although the term machine learning is relatively rece...

OPENALEX Open Access DOI: https://doi.org/10.1109/msp.2010.936730 PMC: 4220564

Machine Learning and Law

Harry Surden • Colorado Law Scholarly Commons (University of Colorado Colorado Springs) (2014)

This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some ...

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Machine learning in automated text categorization

Fabrizio Sebastiani • ACM Computing Surveys (2002)

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuing need to organize them...

OPENALEX Open Access DOI: https://doi.org/10.1145/505282.505283

Improved railway track faults detection using Mel-frequency cepstral coefficient and constant-Q transform features

Rahman Shafique, Khadija Kanwal, Venkata Chunduri, Gyu Sang Choi et al. • Scientific Reports (2025)

Abstract Regular inspection of the health of railway tracks is crucial to maintaining reliable and safe train operations. Some factors including cracks, rail discontinuity, ballast issues, burn wheels, super-elevation, loose nuts and bolts,...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-14763-w

Machine Learning–Based Wear Prediction of Recycled Magnesium Matrix Composites Reinforced With Ceramic Fibers

Meenakshi Sudarvizhi Seenipeyathevar, Prasath Palaniappan, Vijayakumar Arumugam, Vivek Sivakumar et al. • Engineering Reports (2026)

ABSTRACT This study deals with an integrated experimental‐machine learning framework for wear estimation in functionally graded composites made from recycled magnesium machining chips, using low‐cost ceramic fibers as reinforcement with the...

DOAJ Open Access (DOAJ) DOI: 10.1002/eng2.70686

Perbandingan Algoritma Decision Tree dan K-Nearest Neighbor untuk Klasifikasi Serangan Jaringan IoT

Zishwa Muhammad Jauhar Nafis, Rahmatun Nazilla, Rega Nugraha, Shofwatul ’Uyun Shofwatul ’Uyun • Komputika (2024)

Seiring dengan perkembangan jumlah penggunaan Internet of Things yang terus meningkat dan meluas. Ancaman keamanan pada jaringan IoT juga meningkat. Terdapat beberapa teknik yang diterapkan untuk mengatasi ancaman keamanan ini. Salah satuny...

DOAJ Open Access (DOAJ) DOI: 10.34010/komputika.v13i2.12609

Python Machine Learning

Sebastian Raschka (2015)

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effect...

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Washability and abrasion resistance of illuminative knitted e-textiles with POFs and silver-coated conductive yarns

Ngan Yi Kitty Lam, Jeanne Tan, Anne Toomey, Ka Chun Jimmy Cheuk • Fashion and Textiles (2022)

Abstract For the integration of conductive yarns in e-textiles, knitting offers structural versatility and malleability for wider product applications in the contexts of wearables and interiors. To enable mass adoption of conductive materia...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40691-022-00313-9

MONITORING SYSTEM FOR CRITICAL INFRASTRUCTURE OBJECTS BASED ON DIGITAL TWINS

Дмитро АНРДЄЄВ, Олексій ЛИГУН, Андрій ДРОЗД, Олена ПОНОЧОВНА • Компютерні системи та інформаційні технології (2025)

Critical infrastructures are fundamental to the seamless operation of modern societies, encompassing sectors such as energy, healthcare, transportation, and communications. Ensuring their reliability, performance, continuous operation, safe...

DOAJ Open Access (DOAJ) DOI: 10.31891/csit-2025-2-3

Progettare con la luce

Federica Giuliani, Jurji Filieri • And (2025)

Il daylighting design rappresenta oggi una componente essenziale nella progettazione architettonica, in relazione a obiettivi ambientali, qualitativi e percettivi. Tuttavia, nonostante il crescente interesse verso la luce naturale, permango...

DOAJ Open Access (DOAJ)

Artificial Intelligence Adoption and Employee Productivity in Vietnam’s Technology Sector: Evidence From Telecommunications and IT Firms

Nguyen Trung Kien, Quang Hung Do, Nguyen Tung Duong • SAGE Open (2026)

This study investigates the impact of artificial intelligence (AI) adoption on employee productivity within Vietnam’s technology sector, with a particular focus on telecommunications and information technology firms. Using survey data colle...

DOAJ Open Access (DOAJ) DOI: 10.1177/21582440261488067