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ISSN: 2772-4859

Evaluating long-term usage patterns of open source datasets: A citation network approach

The evaluation of datasets serves as a fundamental basis for tasks in evaluatology. Evaluating the usage patterns of datasets has a significant impact on the selection of appropriate datasets. Many...

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Open Source Evaluatology: An evaluation framework and methodology for open source ecosystems based on evaluatology

The open-source ecosystem, as an important component of the modern software industry, has increasingly attracted attention from both academia and industry regarding its evaluation. However, current...

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COADBench: A benchmark for revealing the relationship between AI models and clinical outcomes

Alzheimer’s disease (AD), due to its irreversible nature and the severe social burden it causes, has garnered significant attention from AI researchers. Numerous auxiliary diagnostic models have been...

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Evaluation of mechanical properties of natural fiber based polymer composite

•One of the best natural fibers is jute fiber because of its availability, ease of access, and affordability.•In this study, the fabrication of Jute Fiber-Based Polymer composite was accomplished by...

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Could bibliometrics reveal top science and technology achievements and researchers? The case for evaluatology-based science and technology evaluation

By utilizing statistical methods to analyze bibliographic data, bibliometrics faces inherent limitations in identifying the most significant science and technology achievements and researchers. To overcome...

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Five Axioms of Things

This article explicitly defines several concepts, such as variables, models, and truth of a thing, that are fundamental to natural and social sciences. I present a generalized methodology for understaning...

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Analyzing the obstacles to the establishment of sustainable supply chain in the textile industry of Bangladesh

•This study aims to identify the critical hindrances to the implementation of a sustainable supply chain in textile sector of Bangladesh.•Barriers are identified and ranked using MCDM (Multi-Criteria...

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Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems

•This is the first study to apply the Orca Predation Algorithm to the power system dispatch problem.•The Orca Predation Algorithm produced the lowest cost and highest consistency across multiple system...

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Fundamental concepts and methodologies in evaluatology

While I have authored three articles introducing Evaluatology, a novel discipline that encompasses the science and engineering of evaluation across various domains, I have struggled to fully depict...

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MultiPoint: Enabling scalable pre-silicon performance evaluation for multi-task workloads

With the core numbers integrated within single processors growing and the fast development of cloud computing, performance evaluation for multi-core systems is increasingly crucial. It is typically...

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BinCodex: A comprehensive and multi-level dataset for evaluating binary code similarity detection techniques

The binary code similarity detection (BCSD) technique can quantitatively measure the differences between two given binaries and give matching results at predefined granularity (e.g., function), and...

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Analyzing the impact of opportunistic maintenance optimization on manufacturing industries in Bangladesh: An empirical study

•The study investigates the impact of opportunistic maintenance (OM) optimization on manufacturing industries to reduce maintenance costs.•Three OM strategies: preventive replacement, preventive repair,...

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Enhanced deep learning based decision support system for kidney tumour detection

•The study introduces a deep learning-based decision support system for kidney cancer detection that achieved an accuracy of 99.75 % using DenseNet-201 and utilizes a dataset of 10,000 CT images, including...

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A short summary of evaluatology: The science and engineering of evaluation

Evaluation is a crucial aspect of human existence and plays a vital role in each field. However, it is often approached in an empirical and ad-hoc manner, lacking consensus on universal concepts, terminologies,...

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Evaluatology: The science and engineering of evaluation

Evaluation is a crucial aspect of human existence and plays a vital role in each field. However, it is often approached in an empirical and ad-hoc manner, lacking consensus on universal concepts, terminologies,...

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An approach to workload generation for modern data centers: A view from Alibaba trace

Modern data centers provide the foundational infrastructure of cloud computing. Workload generation, which involves simulating or constructing tasks and transactions to replicate the actual resource...

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TensorTable: Extending PyTorch for mixed relational and linear algebra pipelines

The mixed relational algebra (RA) and linear algebra (LA) pipelines have become increasingly common in recent years. However, contemporary widely used frameworks struggle to support both RA and LA operators...

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AIGCBench: Comprehensive evaluation of image-to-video content generated by AI

The burgeoning field of Artificial Intelligence Generated Content (AIGC) is witnessing rapid advancements, particularly in video generation. This paper introduces AIGCBench, a pioneering comprehensive...

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CloudAISim: A toolkit for modelling and simulation of modern applications in AI-driven cloud computing environments

There is a very significant knowledge gap between Artificial Intelligence (AI) and a multitude of industries that exist in today’s modern world. This is primarily attributable to the limited availability...

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Characterizing and understanding deep neural network batching systems on GPUs

As neural network inference demands are ever-increasing in intelligent applications, the performance optimization of model serving becomes a challenging problem. Dynamic batching is an important feature...

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Benchmarking ChatGPT for prototyping theories: Experimental studies using the technology acceptance model

•We explore the paradigm of leveraging ChatGPT as a bench tool for theory prototyping in business research.•We conducted two experimental studies using the classical technology acceptance model (TAM)...

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A pluggable single-image super-resolution algorithm based on second-order gradient loss

Convolutional neural networks for single-image super-resolution have been widely used with great success. However, most of these methods use L1 loss to guide network optimization, resulting in blurry...

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MetaverseBench: Instantiating and benchmarking metaverse challenges

The rapid evolution of the metaverse has led to the emergence of numerous metaverse technologies and productions. From a computer systems perspective, the metaverse system is a complex, large-scale...

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Benchmarking, ethical alignment, and evaluation framework for conversational AI: Advancing responsible development of ChatGPT

Conversational AI systems like ChatGPT have seen remarkable advancements in recent years, revolutionizing human–computer interactions. However, evaluating the performance and ethical implications of...

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Algorithmic fairness in social context

Algorithmic fairness research is currently receiving significant attention, aiming to ensure that algorithms do not discriminate between different groups or individuals with similar characteristics....

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