SN Computer Science

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Integration of Synergetic IoT Applications with Heterogeneous Format Data for Interoperability Using IBM ACE
SN Computer Science - Tập 5 - Trang 1-21 - 2023
M. Sandeep, B. R. Chandavarkar
Data interoperability is a crucial requirement in IoT to improve services and enhance business opportunities and innovation. Integrating synergetic applications with heterogeneous data formats is a critical issue that needs to be addressed to achieve interoperability. The use cases indicate IBM ACE is promising in resolving integration issues among on-premises and cloud applications. Further, many...... hiện toàn bộ
English–Vietnamese Machine Translation Using Deep Learning for Chatbot Applications
SN Computer Science - Tập 5 - Trang 1-10 - 2023
Nguyen Minh Tuan, Phayung Meesad, Ha Huy Cuong Nguyen
Recently, artificial intelligence-based machine translation has been much improved over traditional methods. A machine translator is very useful for translating text or speech from one language to another. Machine translators have replaced the word mechanism in one language for words in another with verbatim translations. However, a good translation should be employed as both a sentence and a word...... hiện toàn bộ
Efficient Neuroimaging Data Security and Encryption Using Pixel-Based Homomorphic Residue Number System
SN Computer Science - Tập 4 - Trang 1-10 - 2023
Lateef Opeyemi Usman, Ravie Chandren Muniyandi, Morufat Adebola Usman
In recent times, there has been an increasing attention in designing a homomorphic privacy-preserving classification method for neuro-images based on the residue number system (RNS) and deep CNN models. This article presents the RNS homomorphic encryption system for neuro-images and evaluates its security efficiency with respect to moduli set ...... hiện toàn bộ
Group Anomaly Detection: Past Notions, Present Insights, and Future Prospects
SN Computer Science - Tập 2 - Trang 1-27 - 2021
Aqeel Feroze, Ali Daud, Tehmina Amjad, Malik Khizar Hayat
Anomaly detection has evolved as a successful research subject in the areas such as bibliometrics, informatics and computer networks including security-based and social networks. Almost all existing anomaly detection techniques have some limitations and do not focus specifically on detecting anomalous groups. Anomaly detection is also a crucial problem in processing large-scale datasets when our g...... hiện toàn bộ
Effective Stock Market Pricing Prediction Using Long Short Term Memory-Upgraded Model (LSTM-UP) on Evolving Data Sets
SN Computer Science - Tập 4 - Trang 1-11 - 2023
S. Balamohan, V. Khanaa, K. Sivaraman
Making reliable stock market forecasts is a difficult real-world economics problem. A stock's unpredictable and chaotic nature makes it difficult to predict its future worth. To overcome the limitations of existing models in handling the non-stationary and non-linear characteristics of high-frequency financial time series data, this study proposes a Wavelet transform-based data preprocessing and t...... hiện toàn bộ
Contrastive Metric Learning for Lithium Super-ionic Conductor Screening
SN Computer Science - Tập 3 - Trang 1-12 - 2022
Boyu Zhang, Shuo Wang, Fuchang Gao
High-performance Li-ion battery significantly impacts modern society, and materials with high conductivity play critical roles in battery development. Machine learning (ML) technologies have rapidly changed the field in recent years. However, it is still challenging to predict the high conductors directly due to the lack of validated conductor samples. This paper presents a succinct but effective ...... hiện toàn bộ
Private Verification in Multi-stakeholder Environment and its Application to Stable Matching
SN Computer Science -
T. Nakamura, Hiroki Okada, Kazuhide Fukushima, Takamasa Isohara
Real-Time Object Detection Based on YOLO-v2 for Tiny Vehicle Object
SN Computer Science - Tập 3 - Trang 1-10 - 2022
Pengju Deng, Kaiyuan Wang, Xiaohong Han
Object detection plays an essential role in automatic driving system (ADS) and driver assistance system (DAS). However, existing real-time detection models for tiny vehicle objects have the problems of low precision and poor performance. To solve these issues, a novel real-time object detection model based on You Only Look Once Version 2 (YOLO-v2) deep learning framework is proposed for tiny vehic...... hiện toàn bộ
Seeding Grammars in Grammatical Evolution to Improve Search-Based Software Testing
SN Computer Science - Tập 2 - Trang 1-19 - 2021
Muhammad Sheraz Anjum, Conor Ryan
Heuristic-based optimization techniques have been increasingly used to automate different types of code coverage analysis. Several studies suggest that interdependencies (in the form of comparisons) may exist between the condition constructs, of variables and constant values, in the branching conditions of real-world programs, e.g. ( ...... hiện toàn bộ
Cognitive Reading and Character Recognition in Image Processing Techniques
SN Computer Science - Tập 1 - Trang 1-11 - 2020
Magesh Kasthuri, Venkatasubramanian Sivaprasatham
The trend of researches in cognitive reading has become so popular in programming area in the field of computer science from late 1990s when scientists and researchers show more interests in computational approaches are complex in nature to derive from a known algorithm of solution. For instance, in the research areas of biology, medicine and human management sciences there are various problems wh...... hiện toàn bộ
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