Journal Cover – Impact in Computics

Impact in Computics

Peer-Reviewed • Open Access e-ISSN: 3122-7341

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Overview

Impact in Computics (e-ISSN 3122-7341) is an international, peer-reviewed, open-access journal publishing high-quality research across Computer Science, Information Technology, and Information Systems. The journal focuses on both theoretical advancements and practical applications of modern computing technologies in academic, industrial, and societal contexts.

The journal particularly emphasizes intelligent, data-driven, and digitally transformative systems, i ncluding artificial intelligence, machine learning, and advanced computational methods. It provides a platform for interdisciplinary research addressing real-world challenges in domains such as healthcare, agriculture, business, education, and smart infrastructure.

With a commitment to innovation, open science, and global collaboration, Impact in Computics supports research aligned with emerging digital technologies and global development priorities, including the United Nations Sustainable Development Goals (SDGs).

Latest Articles

Article Open Access 547 Views | 88 Downloads | 1–9 | PDF

Blockchain-Based Traceability and Age Verification for Nicotine Products

Umair bin Mohd Yaziz, Muhammad Izzat Bin Zamri, Norzariyah Binti Yahya, Siti Sarah Binti Maidin, Faheem Ahmad Reegu
Impact in Computics 2025, (1), 5 , http://doi.org/10.65500/computics-2025-005 , 29 December 2025
Underage access to nicotine products and the circulation of counterfeit tobacco remain significant public health and regulatory challenges, largely driven by limited supply-chain visibility, centralized record manipulation, and weak enforcement of age-restr...
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Article Open Access 452 Views | 104 Downloads | 1–10 | PDF

Language-Specific Tokenization for Assamese: Efficiency and Downstream Integration with LLMs

Basab Nath, Sagar Tamang
Impact in Computics 2025, (1), 4 , http://doi.org/10.65500/computics-2025-004 , 8 December 2025
Tokenization is a fundamental step in NLP, influencing both computational efficiency and downstream task performance. While subword methods such as Byte-Pair Encoding (BPE), WordPiece, and Unigram have shown strong results for high-resource languages, their...
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Review Open Access 634 Views | 112 Downloads | 1–8 | PDF

Artificial Intelligence-Driven Intrusion Detection Systems for Secure Healthcare IoT: A Comprehensive Review

Mabaruka Kabir Baba, Badamasi Imam Ya’u, Fatima Umar Zambuk, Yasin Magombe, Maryam Abdullahi Musa, Adam Alli
Impact in Computics 2025, (1), 3 , http://doi.org/10.65500/computics-2025-003 , 14 November 2025
The rapid proliferation of Internet of Medical Things (IoMT) devices in healthcare has introduced significant cybersecurity challenges, including data breaches, Distributed Denial-of-Service (DDoS) attacks, and unauthorized access. Intrusion Detection Syste...
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Review Open Access 728 Views | 109 Downloads | 1–17 | PDF

Chatbots and Customer Experience: Evaluating Impact, Effectiveness, and Future Trends

Mohammad Shuaib Mir
Impact in Computics 2025, (1), 2 , http://doi.org/10.65500/computics-2025-002 , 14 November 2025
With in the framework of customer experience, chatbots have proven to be a useful technology, presenting businesses with unique opportunities for customer engagement and delivering personalized services. However, despite their growing prevalence, understand...
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Article Open Access 654 Views | 137 Downloads | 1–9 | PDF

An Improved Framework for Prediction of COVID-19 Cases Using a Deep Learning Approach in a Dynamic Health Management System

Suberu Yusuf, Badamasi Imam Ya’u, Saleh Waziri Mustapha, Sunusi Kabir Alaramma, Adam Alli, Yasin Magombe
Impact in Computics 2025, (1), 1 , http://doi.org/10.65500/computics-2025-001 , 14 November 2025
The COVID-19 pandemic has highlighted the urgent need for predictive models that can guide effective public health strategies. While machine learning approaches have been widely applied, shallow networks such as SSLPNN are limited in capturing the non-linea...
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