Divisibility and Compactness Analysis of Physiological Signals for Sentiment Classification in Body Sensor Network by Wei Wang, Xiaodan Huang

“…Affective computing draws more and more attention to the human-computer interaction. …”
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Merge Operation Effect On Image Compression Using Fractal Technique by Baghdad Science Journal

“…In this work, we introduced good partitioning process by means of merge approach, since some ranges are connected to the others. …”
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Wavelet Filter Approach and Z-R Relationship in Meteorological Forecasting by Wallop Jiwlong, Anongrit Kangrang

“…The purpose of this study is to investigate the Z-R relationship for computing rainfall using conventional and wavelet filters technique. …”
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An effective method of solving of sin gular integral equations in mechanical problems with mixed boundary conditions by B.I. Smetanin, B.V. Sobol', S.S. Volkov

“…Special presentation of the kernel of integral equation is able to significantly weaken its singularity, which in turn helped to realize a sustainable computing process by collocation method.…”
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Efficient optimum safety factor approach for system reliability-based design optimization with application to composite yarns by Gh. Kharmanda, I. R. Antypas

“…An Optimum Safety Factor (OSF) method is proposed to compute safety factors satisfying a required reliability level without demanding additional computing cost for the reliability evaluation. …”
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RINX 2.0: A Containerized Climate Raster Information Extraction System on OpenShift Cloud Environment by D. Jain, J. Blossom, J. Hayes, H. Gibson, S. Rifas-Shimann, D. R. Gold

“…RINX (Raster INformation eXtraction) 2.0 is an advanced solution for efficiently extracting climate data from large raster datasets in a cloud computing environment. Building upon the original RINX 1.0, which utilized high-performance computing clusters, RINX 2.0 leverages cloud technologies such as OpenShift and PostGIS to handle massive datasets and automate the extraction process. …”
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Evaluation of Seismic Performance of Reinforced Concrete Frame Structures in the Context of Big Data by Du Guangqian, Zheng Meng, Wang Shijie

“…Using the distributed computing design concept to efficiently process big data, a dynamic evaluation model for the seismic performance of reinforced concrete frame structures is established. …”
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Noise-induced self-supervised hybrid UNet transformer for ischemic stroke segmentation with limited data annotations by Wei Kwek Soh, Jagath C. Rajapakse

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HCCD: A handwritten camera-captured dataset for document enhancement under varied degradation conditionsMendeley Data by K.S. Koushik, Bipin Nair B J, N. Shobha Rani

“…The degradation issues encompass motion blur, shadow artifacts, and uneven lighting, which reflect challenges incurred in the real-life document digitization process.In the proposed dataset, each handwritten document is paired with a high-quality enhanced image created through a combination of computer vision-based imaging techniques. …”
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Hybrid Network-on-Chip: An Application-Aware Framework for Big Data by Juan Fang, Sitong Liu, Shijian Liu, Yanjin Cheng, Lu Yu

“…Burst growing IoT and cloud computing demand exascale computing systems with high performance and low power consumption to process massive amounts of data. …”
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Symmetric Block Algorithm WBC1 and Analysis of Its Implementation Complexity by Igor Baranov

“…Introduction. Nowadays, computer networks are gaining more and more importance for information exchange. …”
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Efficient text-to-video retrieval via multi-modal multi-tagger derived pre-screening by Yingjia Xu, Mengxia Wu, Zixin Guo, Min Cao, Mang Ye, Jorma Laaksonen

“…Most existing methods use real-valued and hash-based embeddings to represent the video and text, allowing retrieval by computing their similarities. However, these methods are often inefficient for large volumes of video, and require significant storage and computing resources. …”
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Empowering Retail in the Metaverse by Leveraging Consumer Behavior Analysis for Personalized Shopping: A Pilot Study in the Saudi Market by Monerah Alawadh, Ahmed Barnawi

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Dog facial landmarks detection and its applications for facial analysis by George Martvel, Anna Zamansky, Giulia Pedretti, Chiara Canori, Ilan Shimshoni, Annika Bremhorst

“…Abstract Automated analysis of facial expressions is a crucial challenge in the emerging field of animal affective computing. One of the most promising approaches in this context is facial landmarks, which are well-studied for humans and are now being adopted for many non-human species. …”
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A Robust and Efficient Machine Learning Framework for Enhancing Early Detection of Android Malware by Fandi Kurniawan, Deris Stiawan, Darius Antoni, Mohd Yazid Idris, Rahmat Budiarto

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Enhanced Diagnosis of Thyroid Diseases Through Advanced Machine Learning Methodologies by Osasere Oture, Muhammad Zahid Iqbal, Xining (Ning) Wang

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Security-Enhanced Image Encryption: Combination of S-Boxes and Hyperchaotic Integrated Systems by Renjie Song, Haixia Zhao

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Simulation of Coupled Fire/Atmosphere Interaction with the MesoNH-ForeFire Models by Jean-Baptiste Filippi, Frédéric Bosseur, Xavier Pialat, Paul-Antoine Santoni, Susanna Strada, Céline Mari

“…Simulating interaction between forest fire and atmospheric processes requires a highly detailed and computationally intensive model. …”
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Hybrid Grey–Fuzzy Approach for Optimizing Circular Quality Responses in Plasma Jet Manufacturing of Aluminum Alloy by Ivan Peko, Boris Crnokić, Jelena Čulić-Viskota, Tomislav Matić

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Developing Digital Service Transformation Maturity Model in Public Sector by Naufal Fahmi Zakiuddin, Sawung Murdha Anggara, Suhardi

“…To evaluate the effectiveness of the transformation process, organizations require a maturity model to assess execution quality. …”
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