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Integrating the edge computing paradigm into the development of IoT forensic methodologies
With the number of attacks and cyberincidents affecting Internet of Things (IoT) devices on the rise, the need for carrying out forensic...
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Review on Privacy and Trust Methodologies in Cloud Computing
The vast adoption of cloud computing has led to a new content in relation to privacy and security. Personal information is no longer as safe as we...
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Offloading Methodologies for Air-Ground Edge Intelligent Computing Systems
Nowadays, a new domain for next Edge Intelligent computing systems, i.e., systems that combine edge computing with artificial intelligence (AI)...
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Soft computing approaches for dynamic multi-objective evaluation of computational offloading: a literature review
Optimizing computational offloading in Mobile Edge Computing (MEC) environments presents a multifaceted challenge requiring innovative solutions....
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Advanced cost-aware Max–Min workflow tasks allocation and scheduling in cloud computing systems
Cloud computing has emerged as an efficient distribution platform in modern distributed computing offering scalability and flexibility. Task...
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Breaking the energy-efficiency barriers for smart sensing applications with “Sensing with Computing” architectures
With the develo** technologies of artificial intelligence and the Internet of Things, intelligent IoT (iIoT) is prevailing currently. Design and...
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A collaborative cache allocation strategy for performance and link cost in mobile edge computing
Mobile Edge Computing (MEC) represents a novel paradigm dedicated to addressing the challenge of facilitating rapid access to an immense volume of...
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A holistic approach to environmentally sustainable computing
Placing sustainability at the core of computing practices, the industry is poised to pioneer positive changes and create a cleaner and more...
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A novel combining method of dynamic and static web crawler with parallel computing
Recovering information from a targeted website that undergoes dynamic changes is a complicated undertaking. It necessitates the use of a highly...
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Resource optimization in edge and SDN-based edge computing: a comprehensive study
The proliferation of mobile devices and the increasing use of networked applications have generated enormous data that require real-time processing...
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Edge and cloud computing approaches in the early diagnosis of skin cancer with attention-based vision transformer through hyperspectral imaging
Hyperspectral imaging is applied in the medical field for automated diagnosis of diseases, especially cancer. Among the various classification...
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An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case
When contemplating the improvement of overall performance in machine learning (ML) models, a critical strategy for optimizing data preparation is...
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Analysis of cloud computing-based education platforms using unsupervised random forest
Cloud computing-based online education has played a vital role in enabling uninterrupted learning during crises such as the COVID-19 pandemic. This...
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An analytical review of current S-box design methodologies, performance evaluation criteria, and major challenges
The expansion of worldwide networking has created new possibilities for management, development, and presentation in the form of digital data. The...
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Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains
This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and...
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Research on General-Purpose Brain-Inspired Computing Systems
Brain-inspired computing is a new technology that draws on the principles of brain science and is oriented to the efficient development of artificial...
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Securing edge computing using cryptographic schemes: a review
The exponential growth and wide-area applications of the Internet of Things have garnered a lot of interest from academics and industries, thus...
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Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing
Food computing has emerged as a promising research field, employing artificial intelligence, deep learning, and data science methodologies to enhance...
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Advancing automotive high-performance computing: integrating direction API with LORA technology in unified machine vision for future smart cars
This manuscript addresses the challenges in develo** Automotive High-Performance Computing (HPC) systems for Future Smart Cars and Unmanned Mobile...
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Artificial intelligence and edge computing for machine maintenance-review
Industrial internet of things (IIoT) has ushered us into a world where most machine parts are now embedded with sensors that collect data. This huge...
