Informatics Journals | Jurnal Online Page 35

Adaptive Steganographic Technique For Digital Images Based On The Least Significant Bit Substitution

Informatics

It has become natural to retain most of the information electronically, due to developments and improvements in information and communication technolo...

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The paper, "Adaptive Steganographic Technique For Digital Images Based On The Least Significant Bit Substitution," addresses the pervasive challenge o...

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Hewa Zangana, Ayaz Khalid Mohammed, Marwan Omar , Firas Mahmood Mustafa, Anik Vega Vitianingsih

Adaptive Resonance Theory-Based Approach for Robust and Efficient Face Recognition

Informatics

In recent years, face recognition systems have gained significant traction due to their applications in security, surveillance, and user authenticatio...

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The paper presents a novel Adaptive Resonance Theory (ART)-based approach for robust and efficient face recognition, directly addressing common challe...

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Sitraka Herinambinina Andrianarisoa, Henri Michaël Ravelonjara, Geerish Suddul, Ravi Foogooa, Sandhya Armoogum, Doorgesh Sookarah

A Deep Learning Approach to Fake News Classification Using LSTM

Informatics

The rapid spread of misinformation on digital platforms poses a major challenge today. The ability to detect false information is essential to mitigat...

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This paper presents a deep learning approach for fake news classification using Long Short-Term Memory (LSTM) networks, aiming to address the critical...

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Habib Hamam

Rethinking Intelligence: From Human Cognition to Artificial Futures

Informatics

The rapid advancement of AI technologies raises pressing questions about the nature and future direction of intelligence. A key challenge is to unders...

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The paper, "Rethinking Intelligence: From Human Cognition to Artificial Futures," tackles a crucial and timely issue: the evolving definition and eval...

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Godfrey Oise, Onyemaechi Clement Nwabuokei, chukwuma Emmanuel Ozobialu, Otega Prosper Jenarhome, Onoriode Michael Atake, Unuigbokhai Nkem Belinda, Akilo Babalola Eyitemi

Enhancing Indoor Positioning Accuracy with Ant Colony Optimization and Dual Clustering

Informatics

Indoor positioning systems are crucial for public safety, healthcare, and IoT, but Wi-Fi fingerprinting faces challenges such as signal interference,...

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This paper addresses a critical challenge in indoor positioning systems: enhancing the accuracy and efficiency of Wi-Fi fingerprinting, which is hampe...

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Godfrey Oise, Clement Nwabuokei, Richard IGBUNU, Prosper EJENARHOME

Revisiting Parasitic Computing: Ethical and Technical Dimensions in Resource Optimization

Informatics

Parasitic computing is a provocative concept enabling one system to offload computational tasks to remote hosts without explicit consent by exploiting...

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This study offers a timely and thorough re-evaluation of parasitic computing, a conceptually intriguing but technically challenging approach to distri...

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Ulfa ., , Agung Ramadhanu

Implementasi Pengolahan Citra untuk Klasifikasi Jenis Bunga Matahari, Mawar, dan Tulip Menggunakan Algoritma K-Means Clustering

Informatics

Manual identification and classification of ornamental flower varieties is time-consuming and highly dependent onindividual expertise, resulting in id...

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This paper presents a commendable effort to address the practical challenge of manual flower identification by proposing an automated classification s...

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Syerlin Aprilia Delvi, Agung Ramadhanu

A Implementasi K-Means Clustering dalam Segmentasi Citra Hewan pada Kucing, Kambing, dan Burung

Informatics

Image segmentation is one of the most important challenges in digital image processing because it determines the successof separating the main object...

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The paper, "A Implementasi K-Means Clustering dalam Segmentasi Citra Hewan pada Kucing, Kambing, dan Burung," addresses a significant challenge in dig...

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Ana Billah, Aulia Yolanda, Dea Khairani, Dimas Triono Putra, Helma Tiara Syif

Prediksi Jumlah Obat Menggunakan Jaringan Syaraf Tiruan RNN pada Data Penjualan Bulan Juli

Informatics

Accurate drug quantity predictions are crucial in inventory management at pharmacies or hospitals to ensure sufficientdrug availability and avoid over...

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This paper addresses a highly relevant and critical problem in healthcare inventory management: accurate drug quantity prediction. The study leverages...

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This paper presents the design and development of a web-based Make Up Artist (MUA) booking application prototype specifically for independent MUAs in...