Sustainable development and climate change are central agendas in global policy and research. This study examines and compares three ensemb...
The study, "Boosting-Based Machine Learning Models and Hyperparameter Tuning for Predicting Vehicle Carbon Dioxide Emission," addresses a highly relev...
Automated fact-checking is a key strategy to overcome the spread of COVID-19 misinformation on the internet. These systems typically leverage deep lea...
This paper addresses the critical and timely issue of COVID-19 misinformation by proposing an enhanced natural language inference (NLI) approach for a...
Indoor positioning systems (IPS) are crucial where GPS accuracy is limited, but Wi-Fi RSSI-based methods face challenges from signal fluctuations and...
This paper presents a compelling solution for indoor positioning, a domain where traditional GPS falters. The authors address the inherent challenges...
The lack of interactive visualization media in presenting tourism transportation information in West Papua has become an obstacle in attracting intere...
This paper, "Implementation of Augmented Reality Technology in the Design of the Kaswari Elok 87 Ship as a Tourism Vessel in the Sea Area of West Papu...
In an era of ubiquitous computing and generative AI, our experience of place is increasingly mediated by digital technologies, creating hybrid environ...
This paper presents a timely and significant intervention into how information studies engages with the evolving relationship between digital technolo...
Promosi jasa makeup artist melalui akun media sosial pribadi seperti Instagram menjadikan sulitnya mencari jasa makeup artist sesuai keingi...
The paper addresses a highly relevant issue within the burgeoning gig economy and personal services sector: the fragmented discovery of makeup artist...
The rapid expansion of the fashion industry, propelled by digital technology and e-commerce, has resulted in a significant volume...
This paper, titled 'Making Sense of Fashion Feedback: Comparing Two Popular Text Analysis Tools,' addresses a timely and relevant challenge: leveragin...
The utilization of hyperspectral imagery offers enhanced detail and accuracy for environmental monitoring and natural resource management,...
This study presents a timely and relevant contribution to the field of hyperspectral image classification for land cover mapping. Addressing the perva...
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This submission presents a significant challenge for review, as both the title and abstract are profoundly uninformative. The title, "Front matter," i...
We introduce an efficient SAT-based space partitioning technique that enables systematic exploration of large search spaces in cryptanalysi...
This paper introduces a novel SAT-based space partitioning technique that leverages combinatorial necklace generation to systematically explore large...
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