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Systems and Soft Computing is a peer-reviewed journal published by Elsevier, covering Educational Technology and Pedagogy, Advanced Technologies in Various Fields, Human Pose and Action Recognition.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Systems and Soft Computing 12 (2023) 45–58.
Formats any DOI in Systems and Soft Computing style. No sign-up. |
| Publishes research in | Educational Technology and Pedagogy Advanced Technologies in Various Fields Human Pose and Action Recognition AI and Multimedia in Education AI and Big Data Applications |
| ISSN | 2772-9419 |
| Citation impact (2-yr) | 3.65 |
| h-index | 22 |
| i10-index | 77 |
| Total citations | 2,451 |
| Open access | Yes |
| Top institutions publishing here | Vellore Institute of Technology University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Cancer remains one of the leading causes of mortality worldwide, necessitating continuous advancements in early diagnosis and treatment. Deep learning, a subset of artificial intelligence, has emerged as a powerful tool in the field of medical image analysis, revolutionizing the way cancer is detected and diagnosed. The study discusses the various modalities employed in lung…
Nowadays, translation technology based on artificial intelligence (AI) has gradually matured. Traditional translation teaching methods have many limitations, such as time and space limitations, increased labor costs, etc. In this context, this article explored the application of translation technology based on AI in translation teaching. In this paper, neural machine translation (NMT) algorithm was used…
Accurate short-term photovoltaic (PV) power forecasting can reduce the un- certainty of PV power generation, which is crucial for grid operation as well as energy dispatch. Considering the influence of seasonal and meteorological factors on short-term PV power prediction, a short-term PV power predic- tion method based on meteorological similarity day and sparrow search algo-…
Spread of novel coronavirus and other flu-like illnesses, periodically causing increased death and morbidity rates, places pressures on national health systems. In order to provide a reliable long-term forecast of the new coronavirus infection rate, this research employs novel Gaidai-Xing bio-system reliability technique, especially suitable for multi-regional biological, environmental and public health systems. The goal…
In our study, we introduce a novel hybrid ensemble model that synergistically combines LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations in cancer. This model was rigorously tested using Kaggle's Personalized Medicine: Redefining Cancer Treatment dataset, demonstrating exceptional performance across all evaluation metrics. Notably, our approach achieved a training accuracy…
