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Showing 20 of 104 academic articles

Quantum computing with neutral atoms

Mark E. Saffman • National Science Review (2018)

The power of quantum computation derives from algorithmic methods that exploit the availability of quantum superposition and entanglement to perform computations that are intractable with classical devices. The race is on to develop hardwar...

OPENALEX cc-by DOI: https://doi.org/10.1093/nsr/nwy088 PMC: 8291449

A Computational Quantum-Based Perspective on the Molecular Origins of Life’s Building Blocks

Gabriele Amante, Judit E. Sponer, Jiri Sponer, Franz Saija et al. • Entropy (2022)

The search for the chemical origins of life represents a long-standing and continuously debated enigma. Despite its exceptional complexity, in the last decades the field has experienced a revival, also owing to the exponential growth of the...

DOAJ Open Access (DOAJ) DOI: 10.3390/e24081012

Molecular Biology of the Cell

Bruce Alberts, Alexander Johnson, Julian Herman Lewis, David O. Morgan et al. • W.W. Norton eBooks (2017)

As the amount of information in biology expands dramatically, it becomes increasingly important for textbooks to distill the vast amount of scientific knowledge into concise principles and enduring concepts.As with previous editions, Molecu...

OPENALEX DOI: https://doi.org/10.1201/9781315735368

Variation Characteristics of Annual Baseflow at Different Frequencies in Upper Yangtze River Using a Digital Filtering Method

SUN Zhi-wei, LIANG Yue, HU Xiao-qin, ZHANG Jun • 长江科学院院报 (2026)

[Objective] Addressing critical gaps in understanding the Upper Yangtze River Basin (UYRB) baseflow dynamics is essential for regional water security and ecological sustainability. This study presents the first comprehensive multi-station a...

DOAJ Open Access (DOAJ) DOI: 10.11988/ckyyb.20250739

Data augmentation techniques in natural language processing

Lucas Francisco Amaral Orosco Pellicer, Taynan Maier Ferreira, Anna Helena Reali Costa • Applied Soft Computing (2022)

Data Augmentation (DA) methods – a family of techniques designed for synthetic generation of training data – have shown remarkable results in various Deep Learning and Machine Learning tasks. Despite its widespread and successful adoption w...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.asoc.2022.109803

Analyzing Sentiments in eLearning: A Comparative Study of Bangla and Romanized Bangla Text Using Transformers

Md Akash Rahman, Manoara Begum, Tanjim Mahmud, Mohammad Shahadat Hossain et al. • IEEE Access (2024)

In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3419024

Machine Reading Comprehension for the Tamil Language With Translated SQuAD

Anton Vijeevaraj Ann Sinthusha, Eugene Y. A. Charles, Ruvan Weerasinghe • IEEE Access (2025)

Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3530949

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA

Prottay Kumar Adhikary, Isha Motiyani, Gayatri Oke, Maithili Joshi et al. • Journal of Medical Internet Research (2025)

Abstract BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...

DOAJ Open Access (DOAJ) DOI: 10.2196/71977

Empowering text classification with NLP and explainable AI for enhanced interpretability

Sumaya Mustafa, Mariwan Hama Saeed • Journal of Electrical Systems and Information Technology (2025)

Abstract Artificial intelligence (AI) models have demonstrated significant success in classifying various types of text. However, the complex nature of these models often complicates the interpretability of their classifications. To address...

DOAJ Open Access (DOAJ) DOI: 10.1186/s43067-025-00273-2

التعليم الإلکترونى ودوره فى فن الجرافيک بکليات الفنون الجميلة لمواکبة تکنولوجيا العصر

أحمد أحمد • Journal of Distance Learning and Open Learning (2014)

Search provides a vision of the importance of e-learning and its objectives and its features and benefits , and their strategies as well as Arab and international experiences that have to go to be applied in different educational environmen...

DOAJ Open Access (DOAJ) DOI: 10.21608/jdlol.2014.54912

A Survey of Deep Learning Techniques and Computer Vision in Robotic and Drone with Applications

Khazaal Abbas Maaroof Maysoon, Bouhlel Med Salim • BIO Web of Conferences (2024)

The methods of deep learning have lately demonstrated outstanding outcomes of robotic objects such as imagination, localization and striping. Its exceptional abilities in order to learn idealizations from complicated data gathered in the re...

DOAJ Open Access (DOAJ) DOI: 10.1051/bioconf/20249700008