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Academic Articles & Research Papers
Showing 20 of 72 academic articles
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta • Sensors
(2023)
Neurological disorders have an extreme impact on global health, affecting an estimated one billion individuals worldwide. According to the World Health Organization (WHO), these neurological disorders contribute to approximately six million...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23135960
XU Xuejie, WANG Baohui • Jisuanji kexue
(2024)
Patent classification,which is used to assign multiple international patent classification(IPC) codes to a given paten,is a very important task int the field of patent data mining.In recent years,many studies on this task focus on mining pa...
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Open Access (DOAJ)
DOI: 10.11896/jsjkx.230200199
Albert Whata, Charles Chimedza • IEEE Access
(2022)
Logistic regression (LR) is a popular method that is used for estimating causal effects in observational studies using propensity scores. We examine the use of deep learning models such as the deep neural network (DNN), PropensityNet (PN), ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3140189
Qintai Xiao, Li Zhou, Xin Xiang, Lingxue Liu et al. • Applied Sciences
(2022)
Improving the accuracy of runoff simulations is a significant focus of hydrological science for multiple purposes such as water resources management, flood and drought prediction, and water environment protection. However, the simulated run...
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Open Access (DOAJ)
DOI: 10.3390/app12146883
Huan Song, Lijun Wang, Yuguo Gao, Shuman Guo et al. • AgriEngineering
(2026)
Accurate and in-situ monitoring of frost growth on plant leaves is crucial for disaster prevention in smart agriculture. To address the limitations of traditional methods in quantification and continuity, this study proposes a novel monitor...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agriengineering8020067
Rabita Hasan, Sheikh Md. Rabiul Islam • Brain Informatics
(2026)
Abstract Electroencephalography (EEG)-based emotion recognition has gained increasing attention in affective computing because EEG provides high temporal resolution and reflects intrinsic neural activity. However, reliable emotion recogniti...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s40708-026-00319-9
Xiangyang Zheng, Yancai Xiao, Xinran Li • Machines
(2026)
Wind turbine (WT) misalignment fault diagnosis is constrained by critical signal processing challenges: weak fault features, intense background noise, and poor generalization. This study proposes a lightweight method for high-precision faul...
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Open Access (DOAJ)
DOI: 10.3390/machines14020155
Dwi Ratna Puspita Sari, Sirli Fahriah, Kurnianingsih, Santi Purwaningrum • Journal of Innovation Information Technology and Application
(2025)
Gold is one of the most favored investment instruments due to its stability and its ability to preserve value against inflation. However, its price movements are volatile and influenced by various global economic factors, currency exchange ...
DOAJ
Open Access (DOAJ)
DOI: 10.35970/4p33wz16
Nimra Mughal, Ghulam Mujtaba, Sarang Shaikh, Aveenash Kumar et al. • IEEE Access
(2024)
Sentiment analysis is essential for comprehending public opinion, particularly when considering e-commerce and the expansion of online businesses. Early approaches treated sentiment analysis as a document or sentence-level classification pr...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3386969
Yang Liu, Meng Zhang • Computational Linguistics
(2017)
Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...
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cc-by-nc-nd
DOI: https://doi.org/10.1162/coli_r_00312
Martin Sundermeyer, Ralf Schlüter, Hermann Ney • Interspeech (USB)
(2012)
Neural networks have become increasingly popular for the task of language modeling.Whereas feed-forward networks only exploit a fixed context length to predict the next word of a sequence, conceptually, standard recurrent neural networks ca...
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Open Access
DOI: https://doi.org/10.21437/interspeech.2012-65
Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals • arXiv (Cornell University)
(2014)
We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units. Dropout, the most successful technique for regularizing neural networks, does not work well with RNNs and LSTMs. In ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1409.2329
Xinyu Wang, Jiqiang Zhai, Hailu Yang • Scientific Reports
(2024)
Abstract Web command injection attacks pose significant security threats to web applications, leading to potential server information leakage or severe server disruption. Traditional detection methods struggle with the increasing complexity...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-74350-3
Santhiyakumari N., Sabarinathan S., Veerakumar S., Chandraman M. et al. • Journal of Cognitive Human-Computer Interaction
(2025)
The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...
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Open Access (DOAJ)
DOI: 10.54216/JCHCI.100201
Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi • Drones
(2025)
Due to Internet of Drones (IoD) technology, drone networks have proliferated, transforming surveillance, logistics, and disaster management. Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities i...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/drones9010046
Nasrin Rezaei, Andreas Rehkopf • Advances in Engineering and Intelligence Systems
(2026)
In the context of big data, data preprocessing, especially data whitening, plays a pivotal role in improving the effectiveness of AI models. While traditional whitening methods suffer from severe computational bottlenecks, arising from the ...
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Open Access (DOAJ)
DOI: 10.22034/aeis.2026.575941.1510
Hind Alamro, Takashi Gojobori, Magbubah Essack, Xin Gao • Scientific Reports
(2024)
Abstract The rapid increase in biomedical publications necessitates efficient systems to automatically handle Biomedical Named Entity Recognition (BioNER) tasks in unstructured text. However, accurately detecting biomedical entities is quit...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-58334-x
Aditya Malte, Pratik Ratadiya • arXiv (Cornell University)
(2019)
In this paper, we present a study of the recent advancements which have helped bring Transfer Learning to NLP through the use of semi-supervised training. We discuss cutting-edge methods and architectures such as BERT, GPT, ELMo, ULMFit amo...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1910.07370
Guoyu Zuo, Minghui Zhang, Jingwei Ren, Qifei Wu et al. • CAAI Transactions on Intelligence Technology
(2026)
ABSTRACT Knee joint moment estimation is a critical component in biomechanical analysis, with profound implications for rehabilitation assessment and the development of assistive devices like exoskeletons. However, existing data‐driven appr...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.70165
Dheya Mustafa, Safaa M. Khabour, Mousa Al-kfairy, Ahmed Shatnawi • PeerJ Computer Science
(2025)
Companies that deliver food (food delivery services, or FDS) try to use customer feedback to identify aspects where the customer experience could be improved. Consumer feedback on purchasing and receiving goods via online platforms is a cru...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.2669