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Advances in Computing and Engineering
ISSN 2735-5977 · Academy Publishing Center · 46 artikel di indeks
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Artikel Jurnal
Cross-modal feature learning for multi-sensor IOT anomaly detection: a comprehensive empirical analysis of cyber physical systems
The proliferation of Internet of Things (IoT) devices has created unprecedented security challenges, with traditional single-modal anomaly detection systems proving inadequate against sophisticated multi-vector attacks. This paper presents a novel cross-modal feature learning framework that…
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Design and evaluation of a software-defined networking intrusion detection and prevention system using ensemble machine learning and hybrid feature selection
Cyber threats in today's software-defined network infrastructures are growing at an exponential rate, thus sophisticated, adaptive security measures are required. In order to enhance detection accuracy and computational efficiency, this study introduces a Network Intrusion Detection and Prevention…
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Artikel Jurnal
Low-resource fine-tuning of llama-3.1 using QLoRA for Nigerian linguistic contexts
Large language models (LLMs) often underperform in low-resource linguistic environments due to under-representation in pre-training data. This work presents NaijaLLaMA-8B, a parameter-efficient adaptation of Meta’s LLaMA-3.1 8B model for Nigerian English and Nigerian Pidgin using the QLoRA…
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Applied intelligent security architecture continuous detection of environmental data
Purpose. The authors, funded by MOST-BARMM conducted a study in 2024 to monitor the surrounding environment of the headquarters of the Ministry of Science and Technology – BARMM in Cotabato City, Philippines. Relevant to this purpose, a discreet understanding on the dynamics of the weather…
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Multimodal machine learning model for detecting Kiswahili hate speech on social media
Social media have become a primary source of information across the world, shaping public discourse, opinion formation, and everyday decision-making in real time. The primary languages for discourse in the social media platforms are either, high-resource languages or low-resource. However, existing…
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Determination of parameters for test case optimization in adaptive cuckoo search technique: a fuzzy Delphi analysis
Cuckoo Search Algorithm (CSA) is one of the metaheuristic approaches applied by existing studies in test case optimization due to its simplicity and ease of implementation. However, the current studies lack systematic documentation and empirical validation of parameters thus limiting optimization…
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Ethereum fraud detection using Smote-Tomek and stacked ensemble learning technique
This research addresses the critical challenge of detecting fraudulent Ethereum transactions, which remains notoriously difficult due to the overwhelming prevalence of legitimate activities compared to illicit ones. This pronounced class disparity frequently results in skewed outcomes when…
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Smart trolley with IoT-based automatic billing and secure locking system
The rapid advancement of the Internet of Things (IoT) has significantly transformed retail automation, enhancing efficiency and customer convenience. This paper presents a Smart Trolley with IoT-Based Automatic Billing and Secure Locking System, which automates product identification, billing, and…
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Artikel Jurnal
A remote controlled IoT smart meter monitoring system with theft detection
This research addresses the challenges of energy administration and security in developing nations. It proposes an Internet of Things (IoT)-based smart meter monitoring system that integrates security controls to prevent theft and allows for remote monitoring of energy usage. The system utilizes an…
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Integrating ethics in artificial intelligence syllabus in university and co-teaching with industry experts: perceptions and experiences of students from Kenya
The common model adopted by most departments of Computer Science (CS) in universities in Kenya for teaching CS course is the traditional faculty-led and content-driven approach that denies the learners opportunity of learning from peers or industry experts or problem-based projects. At Kisii…
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Vision beyond the human eye: advancing early breast cancer detection through computer vision and ai-enhanced imaging
This paper reviews the application of computer vision and artificial intelligence (AI) in enhancing breast cancer detection, exploring how deep learning models, particularly Convolutional Neural Networks (CNNs), augment traditional screening techniques. The review examines the current state of…
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach
Statistical methods employed in evaluating the quality of service (performance) of mobile broadband (MBB) networks face drawbacks relating to the accurate and reliable processing of the huge amounts of heterogenous real time traffic data generated from MBB networks. Since the traffic patterns…
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Artikel Jurnal
Machine learning approaches for detecting hate speech in African languages on social media: a systematic literature review
Significant research efforts has been made towards the development of machine learning models to detect hate speech worldwide. However, for Africa, which is home to over 2,000 languages with diverse linguistic dialects, there is an urgent need for inclusive natural language processing (NLP) tools…
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Interpretable air quality classification for public health using machine learning
Air pollution remains a critical public health and environmental challenge, especially in rapidly urbanizing regions. Accurate classification of air quality levels is essential for proactive environmental management and timely health interventions. This study presents an interpretable machine…
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Artikel Jurnal
A healthcare 5.0 compliant workforce digital twin framework for healthcare personnel in resource-constrained medical facilities in sub-Saharan Africa
Successive industrial revolutions have reshaped the way people are managed at work. Each one brought some new inventions that made us rethink how humans and machines fit together. The Fourth Industrial Revolution (4IR) that is currently underway is characterized by a combination of technologies…
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A simulation-based smart city architecture using arduino and cisco packet tracer
With rapid technological progress, modern cities increasingly demand real-time responses to ensure convenience, cost-efficiency, and public safety. The IoT-Based Smart City Management project addresses this need by integrating smart technologies with civil infrastructure through a model developed…
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Using multilevel policy to mitigate database threats from former employees: a case of public sector organisations in Zanzibar
The purpose of this study was to develop a framework that employs multi-level access to enhance authentication mechanisms in public sector organisations and to restrict former employees whose prior elevated privileges could pose significant security risks if not effectively revoked. To achieve this…
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A federated framework for speech-based early detection of Alzheimer’s disease
The development of artificial intelligence for Alzheimer’s disease (AD) diagnostics is often hindered by data privacy regulations that prevent the aggregation of sensitive patient information. Federated Learning (FL) offers a decentralized solution, enabling collaborative model training without…
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Artikel Jurnal
Swarm intelligence–driven mobilenet optimization for breast cancer classification in ultrasound images
This study examines the effectiveness of swarm intelligence algorithms for optimizing MobileNet hyperparameters in breast cancer classification using ultrasound images (BCMID). Three optimization methods—Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), and the Whale Optimization…
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Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms
In modern educational settings, overcrowded classrooms challenge student engagement and learning efficiency. To address these issues, we propose a novel smart seating system powered by Fog Computing that leverages Wireless Sensor Networks (WSN), Internet of Things (IoT), Fog Computing (FC) and…