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Multi-scale information fusion generative adversarial network for real-world noisy image denoising
Image denoising is crucial for enhancing image quality, improving visual effects, and boosting the accuracy of image analysis and recognition. Most...
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Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
Hepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer that necessitates accurate prediction models for early diagnosis and...
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MemPol: polling-based microsecond-scale per-core memory bandwidth regulation
In today’s multiprocessor systems-on-a-chip, the shared memory subsystem is a known source of temporal interference. The problem causes logically...
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Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering
The classification of imbalanced datasets is a prominent task in text mining and machine learning. The number of samples in each class is not...
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MFMANet: a multispectral pedestrian detection network using multi-resolution RGB feature reuse with multi-scale FIR attentions
In the realm of multispectral pedestrian detection, especially under challenging low-illumination, the existing methods, characterized by...
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Algebraically Structured LWE, Revisited
In recent years, there has been a proliferation of algebraically structured Learning With Errors (LWE) variants, including Ring-LWE, Module-LWE,...
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Benchmarking Large Language Models for Log Analysis, Security, and Interpretation
Large Language Models (LLM) continue to demonstrate their utility in a variety of emergent capabilities in different fields. An area that could...
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Further improvements of the estimation of key enumeration with applications to solving LWE
In post-quantum cryptography, Learning With Errors (LWE) is one of the dominant underlying mathematical problems. The dual attack is one of the main...
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Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation
OCR2SEQ represents an innovative advancement in Optical Character Recognition (OCR) technology, leveraging a multi-modal generative augmentation...
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Correlation-based outlier detection for ships’ in-service datasets
With the advent of big data, it has become increasingly difficult to obtain high-quality data. Solutions are required to remove undesired outlier...
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Email bombing attack detection and mitigation using machine learning
Email bombing, a growingly prevalent and destructive cyber attack, involves inundating a target’s email inbox with subscription confirmation messages...
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A systematic data characteristic understanding framework towards physical-sensor big data challenges
Big data present new opportunities for modern society while posing challenges for data scientists. Recent advancements in sensor networks and the...
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Offline and Real-Time Policy-based Management for Virtualized Services: Conflict and Redundancy Detection, and Automated Resolution
Network Function Virtualization (NFV) is a new technology that allows service providers to improve the cost efficiency of network service...
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Enhancing Cloud Gaming QoE Estimation by Stacking Learning
The Cloud Gaming sector is burgeoning with an estimated annual growth of more than 50%, poised to reach a market value of $22 billion by 2030, and...
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Data pipeline approaches in serverless computing: a taxonomy, review, and research trends
Serverless computing has gained significant popularity due to its scalability, cost-effectiveness, and ease of deployment. With the exponential...
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On data efficiency of univariate time series anomaly detection models
In machine learning (ML) problems, it is widely believed that more training samples lead to improved predictive accuracy but incur higher...
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AI-Based Intrusion Detection for a Secure Internet of Things (IoT)
The increasing use of intelligent devices connected to the internet has contributed to the introduction of a new paradigm: the Internet of Things...
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Hypoxia within tumor microenvironment characterizes distinct genomic patterns and aids molecular subty** for guiding individualized immunotherapy
Assessing the hypoxic status within the tumor microenvironment (TME) is crucial for its significant clinical relevance in evaluating drug resistance...
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Multimodal fine-grained grocery product recognition using image and OCR text
Automatic recognition of grocery products can be used to improve customer flow at checkouts and reduce labor costs and store losses. Product...
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Chfnet: a coarse-to-fine hierarchical refinement model for monocular depth estimation
In recent years, many researchers have exploited multiple depth estimation architectures to produce high-quality depth maps from a single image. For...
