Hybrid deep learning model for identifying the cancer type
June 2025
Despite current advances, cancer remains one of the biggest health challenges globally, and diagnosis must be made earlier to begin treatment. In this work, we introduce a hybrid deep learning-based...
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Predicting the number of call center incoming calls using deep learning
Available online 4 June 2025
One of the main problems in call centers is the call queue. This can lead to long waiting times for customers, increased frustration and call abandonment. The important role that predictive analytics...
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Ethical and Regulatory Challenges in Machine Learning-Based Healthcare Systems: A Review of Implementation Barriers and Future Directions
Available online 28 May 2025
Machine learning significantly enhances clinical decision-making quality, directly impacting patient care with early diagnosis, personalized treatment, and predictive analytics. Nonetheless, the increasing...
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LLMs: A game-changer for software engineers?
March 2025
•LLMs promise a future of faster, more efficient, and collaborative software development.•This paper examines the transformative potential of LLMs in software development and argues that early adoption...
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Evaluatology’s perspective on AI evaluation in critical scenarios: From tail quality to landscape
March 2025
Tail Quality, as a metric for evaluating AI inference performance in critical scenarios, reveals the extreme behaviors of AI inference systems in real-world applications, offering significant practical...
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Regulatory landscape of blockchain assets: Analyzing the drivers of NFT and cryptocurrency regulation
March 2025
The study analyzes the global regulatory landscape for blockchain assets, particularly cryptocurrencies and non-fungible tokens, focusing on the motivations behind policymaker actions, the diversity...
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AICB: A benchmark for evaluating the communication subsystem of LLM training clusters
March 2025
AICB (Artificial Intelligence Communication Benchmark) is a benchmark for evaluating the communication subsystem of GPU clusters, which includes representative workloads in the fields of Large Language...
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Open Source Evaluatology: An evaluation framework and methodology for open source ecosystems based on evaluatology
December 2024
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
December 2024
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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Evaluating long-term usage patterns of open source datasets: A citation network approach
December 2024
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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Advanced Deep Learning Models for Improving Movie Rating Predictions: A Benchmarking Study
December 2024
•Deep learning models benchmarked for accurate movie rating prediction.•Novel integration of sentiment analysis and advanced feature extraction techniques.•Comparative performance evaluation identifies...
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Patrick Star: A comprehensive benchmark for multi-modal image editing
December 2024
Generative image editing enhances and automates traditional image designing methods. However, there is a significant imbalance in existing research, where the development of sketch-guided and example-guided...
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AI-powered Mathematical Sentiment Model and graph theory for social media trends
December 2024
•Furthermore, health authorities are unable to provide correct information and prompt actions due to a lack of efficient methods for analyzing the enormous amounts of unstructured social media data.•This...
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Evaluation of mechanical properties of natural fiber based polymer composite
September 2024
•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
September 2024
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
September 2024
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
September 2024
•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
September 2024
•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
September 2024
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
September 2024
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
June 2024
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
June 2024
•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
June 2024
•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
June 2024
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
March 2024
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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