The rapid spread of misinformation on digital platforms poses a major challenge today. The ability to detect false information is essential to mitigat...
This paper presents a deep learning approach for fake news classification using Long Short-Term Memory (LSTM) networks, aiming to address the critical...
The rapid advancement of AI technologies raises pressing questions about the nature and future direction of intelligence. A key challenge is to unders...
The paper, "Rethinking Intelligence: From Human Cognition to Artificial Futures," tackles a crucial and timely issue: the evolving definition and eval...
Indoor positioning systems are crucial for public safety, healthcare, and IoT, but Wi-Fi fingerprinting faces challenges such as signal interference,...
This paper addresses a critical challenge in indoor positioning systems: enhancing the accuracy and efficiency of Wi-Fi fingerprinting, which is hampe...
Parasitic computing is a provocative concept enabling one system to offload computational tasks to remote hosts without explicit consent by exploiting...
This study offers a timely and thorough re-evaluation of parasitic computing, a conceptually intriguing but technically challenging approach to distri...
Manual identification and classification of ornamental flower varieties is time-consuming and highly dependent onindividual expertise, resulting in id...
This paper presents a commendable effort to address the practical challenge of manual flower identification by proposing an automated classification s...
Image segmentation is one of the most important challenges in digital image processing because it determines the successof separating the main object...
The paper, "A Implementasi K-Means Clustering dalam Segmentasi Citra Hewan pada Kucing, Kambing, dan Burung," addresses a significant challenge in dig...
Accurate drug quantity predictions are crucial in inventory management at pharmacies or hospitals to ensure sufficientdrug availability and avoid over...
This paper addresses a highly relevant and critical problem in healthcare inventory management: accurate drug quantity prediction. The study leverages...
A web-based Make Up Artist (MUA) booking application prototype has been designed and developed for independent MUAs in West Semarang, utilizing the Ag...
This paper presents the design and development of a web-based Make Up Artist (MUA) booking application prototype specifically for independent MUAs in...
The development of e-commerce drives the need to understand customer opinions through sentiment analysis to improveservice quality. Tokopedia and TikT...
This study presents a comparative analysis of Naive Bayes and Support Vector Machine (SVM) algorithms for sentiment analysis on e-commerce customer re...
Artificial intelligence is the computer science sector which facilitates computers in performing tasks traditionally performed by humans. One of the i...
This paper presents a timely and relevant application of artificial intelligence in public health, specifically focusing on the early diagnosis of stu...
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