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International Journal of Emerging Engineering and Technology
ISSN 2958-3764 · Swedish College of Egineering and Technology · 64 artikel di indeks
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A Hybrid GRU-SVR Ensemble Framework for Hourly PM2.5 Forecasting and Adaptive Air Quality Management in Pakistan
Precise short-term forecasting of PM2.5 levels is crucial for building effective early warning systems and reducing public health hazards, especially in countries like Pakistan, where the combination of temperature inversions and burning of agricultural waste leads to severe smog events during…
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Enhancing SJF and SRTF CPU Scheduling Through Machine Learning-Based Burst Time Prediction: A Comparative Study
Accurate prediction of CPU burst time is essential for effective process scheduling, particularly in Shortest Job First (SJF) and Shortest Remaining Time First (SRTF) algorithms. Traditional estimation techniques, such as exponential averaging, can produce substantial prediction errors, resulting…
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Design and Deployment of Multi-Class Image Classification Model on ESP32 Using a Lightweight CNN Approach
Tremendous progress has been made in developing intelligent and autonomous systems in recent years, driven by AI software tools such as Chatbots and large language models (LLMs) for various applications. This has led to the adoption of smart technology solutions. Nonetheless, computer vision…
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Artificial Intelligence for Phishing and Social-Engineering Detection: A Machine Learning Evaluation on a Benchmark URL Dataset
Phishing remains the leading initial-access vector in modern cyberattacks, and the emergence of large language models (LLMs) has made social-engineering content easier to produce and harder to distinguish from legitimate communication. This paper reviews recent (2023-2026) research on…
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Attn-NucleiSeg: Cross-Attention Fusion with Adaptive Scale Selection for Nuclei Segmentation in HE Images
Nuclei instance segmentation in histopathology images is an important yet challenging task for cancer diagnosis and treatment planning. Existing methods often rely on single-encoder architectures that may have difficulty capturing both local morphological details and global contextual information…
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Programming Limitations and Challenges on Consumer Hardware GPU
Traditionally, high-performance computing was dominated by processors specifically designed to execute highly efficient mathematical calculations. But there are major architectural, thermal and software challenges involved in using consumer-grade and edge GPU hardware. We discuss the structural…
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Analysis of Evolving Flood Patterns and Associated Damages Across Pakistan
This paper presents a comprehensive analytical review of the evolving spatio-temporal patterns of floods and associated damages across Pakistan. Understanding these evolving patterns is essential for improving flood risk management and minimizing avoidable flood-induced damage. Numerous studies…
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Construction Claims Evaluation of Public Sector Projects through the Application of Building Information Modelling
Time and cost overruns in construction projects by the public sector in Sindh are characteristic of design modifications and a lack of contract management, which caused repeated claims and disputes. This paper looks at how Building Information Modelling (BIM) could be used to mitigate claims. By…
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Multi-Defect Classification in Oranges Using YOLOv8, YOLO11, and YOLOv8m: A Comparative Study
Orange farming is among the most economically significant agricultural activities in the world, with the crop feeding global markets and supporting millions of smallholder livelihoods. Yet despite that importance, quality grading at the post-harvest stage still depends heavily on manual inspection…
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To Design Composite Clay Filter Using Clay Sand and Charcoal for Rural Areas
Access to safe drinking water remains a significant challenge in rural areas where conventional purification systems such as reverse osmosis and UV sterilization are often unaffordable or impractical. This study evaluates the performance of a low-cost composite clay filter made from locally…
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Federated Learning and Artificial Intelligence in IoT: Security Challenges, Solutions, and Future Directions
There has been a great proliferation of the Internet of Things in different areas, ranging from healthcare, smart cities, industry, transport to agriculture, among others, and as a result of which an immense volume of distributed data is generated. The problem with traditional centralized machine…
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Synergistic Effects of Calcium Chloride and Polypropylene Fibre on Khanote Soil: Experimental and AI Modelling
This study investigates the stabilization of marginal Khanote soil (A-1) using Calcium Chloride and Polypropylene Fibre, coupled with Artificial Neural Network predictive modelling. Laboratory evaluations involved Modified Proctor and Unconfined Compressive Strength tests across varying additive…
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Cybersecurity Challenges and Defense Mechanisms in IoT: A Comprehensive Analysis of Emerging Threats and Intelligent Solutions
In the modern world, connected devices have revolutionized almost every aspect of life, from hospitals and factories to homes and city infrastructure. Today's large-scale IoT deployments have significantly expanded the attack surface, making it increasingly difficult for organizations to manage…
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Evaluation of Ecological Restoration for River Water Quality Improvement: A Modelling Approach
River ecosystems play vital roles in water provision, flood mitigation, and biodiversity conservation, yet face increasing degradation from human activities. This review systematically evaluates modern ecological restoration approaches, including riparian buffer rehabilitation, in-stream habitat…
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Determination of Water Quality Index for Various Sources of Drinking Water in Tando Allahyar City
Water is vital to human existence, and recently, the demand for bottled water has increased for drinking purposes. However, people still use tap water and groundwater for different purposes due to their financial constraints. The examination of Tando Allahyar city's water quality is necessary due…
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A Critical Analysis of Deepfake Detection Software: Emerging Challenges and Quality Assurance
Deepfakes have proven their identity in the field of digital forensics. The article explains how Deepfakes create highly realistic but synthetic videos, images, and audio clips, which create doubt about whether they are real or fake. This article identifies some important tools and technologies. In…
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Experimental investigation of Slope Change Impact on Manning’s n in a tilting bed flume
This paper presents the findings of laboratory investigations on a tilting bed flume to determine the impact of bed slope on Manning’s roughness coefficient, n (Manning’s n). Correct estimation of Manning’s n is crucial in the relatively accurate approximations of velocity and discharge. While…
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XAI-Based Dynamic Cybersecurity Risk Management and Its Conceptual Architecture
Managing cybersecurity risk is a basic requirement for preserving systemic resilience in an increasingly unstable digital world, regardless of an organization's size or operational type. There is a noticeable knowledge asymmetry in the corporate cyber insurance underwriting market due to the…
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Artificial Intelligence–Driven Imaging Advances in Lung Fibrosis: A Comprehensive Review
Lung fibrosis is a chronic and progressive illness where there is pathologic tissue scarring, which affects lung architecture and respiratory organ functioning. It is caused by several factors, including idiopathic pulmonary fibrosis (IPF), radiation-related injury, tumour-related fibrosis, and…
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Artikel Jurnal
Enhancing Facial Recognition Performance with Data Augmentation in Occluded Environments
Facial recognition systems frequently face challenges in accurately identifying individuals when critical facial features are obscured by occlusions such as masks, sunglasses, or scarves. These scenarios degrade the reliability of recognition models, especially in real-world environments. Data…