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Deshinta Arova Dewi

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Open access Aug 2026

Multi-objective Optimization Framework to Support Decision-making for Applications Migration in Cloud Computing

Moving programs to the cloud could have a significant positive impact on everyone who is interested in cloud computing. For example, on-demand computing systems offer economic advantages. These include the ability to scale applications up and down to meet businesses' continuously changing needs. Customers, on the other...

Abdelzahir Abdelmaboud, Ashraf Osman Ibrahim, Omayma Husain et al. · 0 citations
Review Sep 2026

Analysis of Factors Increasing Customer Engagement and Brand Trust Toward Purchase Intention

Purpose : The study analyzed the impact of short-video content creativity, influencer authenticity, and public word-of-mouth on consumers’ purchase intention in the context of TikTok Commerce. It also considered the role of customer engagement and brand trust as mediating variables. Design/Methodology/Approach : This s...

Welly Surjono, Deshinta Arova Dewi, R. R. Subramanian · 0 citations
Open access 2026

Deep DPA-MSFNet: A Dual-path Attention and Multi-scale Fusion Network for Robust Eye Tumor Classification

A novel convolutional neural network architecture for efficient tumor classification by integrating multi-scale fusion techniques with dual-path attention is presented, making it a great fit for resource-constrained medical devices that need to be deployed in real-time.

S. P. Praveen, Shaik Salma Begum, P. Padmavathi et al. · 0 citations
Open access Jul 2026

Dual Watermarking Using DCT-SVD for Image Authentication

The proposed dual image watermarking strategy aims to generate strong, accurate tampering localization while embedding both watermarked images and proof files into the host image and has achieved strong positive results against various attacks.

Ferda Ernawan, M. Hafidz, S. A. Bakar et al. · 0 citations
Open access Jul 2026

Adaptive temporal graph neural networks for detecting coordinated multi-stage cyber-attacks in enterprise systems

The results of the framework will validate the radical combination of the structural and the temporal elements of a complex cyber attack MODEL as a possible answer to the challenge of providing a simple, dynamic, and effective scalable solution to the detection of sophisticated cyber disasters in realistic and complex...

Teguh Nurhadi Suharsono, T. Kurniawan, Deshinta Arova Dewi et al. · 0 citations
Open access 2026

Benchmarking CNN and LSTM Models for Genetic Mutation Classification across Diverse Sequence Encoding Techniques

This study evaluates four encoding schemes—one-hot, k-mer (substring-based encoding), embeddings, and Position-Specific Scoring Matrix (PSSM) using Convolutional Neural Networks (CNNs) and Long Short-Term Memories (LSTMs) and shows that k-mer encoding achieved the highest accuracy.

T. Kurniawan, Deshinta Arova Dewi, Randy Joy Magno Ventayen · 0 citations

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