Recent Articles

Open access

ISSN: 2772-4859

Expert consensus and reliability validation of the portfolio assessment guideline for Chinese practical writing: An empirical study based on fleiss’ kappa

•Developed a standardized guideline for Chinese practical writing portfolio assessment.•Validated inter-rater reliability across four key writing dimensions using Fleiss’ Kappa.•Rating scales for both...

Evaluating barriers to establish digital trust in industry 4.0 for supply chain resilience in the Indian manufacturing industry

•The potential barriers to establishing digital trust in the adoption of Supply Chain 4.0 for resiliency are assessed and then analyzed.•A mixed-method approach for evaluating the barriers with Pythagorean...

An evaluation framework for measuring prompt wise metrics for large language models in resource-constrained edge

Existing challenges in deploying large language models (LLMs) on resource-constrained devices stem from limited CPU throughput, memory capacity, and power budgets. Motivated by the lack of edge-specific...

“We don’t plagiarise, we parrot”: Cognitive load and ethical perceptions in higher education written assessment

•Parroting defined as AI use with minimal cognitive engagement in student writing.•Examines parroting behaviour in higher education written assessments.•Applies Rasch modelling to examine item hierarchies,...

Benchmark-based prioritizing sustainable consumption and production practices for achieving SDG 12 in India: A multi-criteria decision-making approach

•A hybrid Grey Delphi–Grey DEMATEL framework prioritizes SCP practices in India.•Twelve critical SCP practices validated by sustainability experts are identified.•Circular economy, partnerships, and...

Performance comparison of permissioned and permissionless blockchain by varying workload transaction

Blockchain technology has fueled exponential growth across various industries, including finance, supply chain management, and healthcare, enabling greater transparency in transaction management and...

Data-driven financial fraud detection using hybrid artificial and quantum intelligence

The unauthorized use of a cardholder’s financial data, resulting in significant losses to individuals and companies, is known as credit card fraud. The increasing frequency and complexity of such fraud...

US-China geopolitical tensions and Indian stock market dynamics: evidence from NARDL and wavelet coherence

•The article introduces the US-China tension index into the analysis of the Indian stock market employing NARDL and Wavelet coherence.•Short-run asymmetric effects suggest that rising tensions reduce...

An adaptive opposite slime mold feature selection algorithm for complex optimization problems

•SMA has been effectively applied to many applications in machine learning, engineering design, feature selection, and image processing.•SMA’s capacity for exploitation still needs enhancement to achieve...

Exposing financial shenanigans: The role of Indian accounting standards (Ind AS) in enhancing corporate accountability and governance

The Indian Accounting Standards (Ind AS) play a pivotal role in reducing financial impropriety. These standards significantly enhance the accountability, accuracy, and transparency of financial reporting,...

A framework for evaluating cultural bias and historical misconceptions in LLMs outputs

Large Language Models (LLMs), while powerful, often perpetuate cultural biases and historical inaccuracies from their training data, marginalizing underrepresented perspectives. To address these issues,...

Medical image fusion based on deep neural network via morphologically processed residuals

•Proposed a deep neural network-based medical image fusion method that uses morphologically processed residuals to better preserve crucial features from multimodal images like CT, MRI, PET, and SPECT...

Evaluatology-driven artificial intelligence

The prevailing data-driven paradigm in AI has largely neglected the generative nature of data. All data, whether observational or experimental, are produced under specific conditions, yet current approaches...

Hybrid deep learning model for identifying the cancer type

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...

Comparative study of deep learning models for Parkinson’s disease detection

•A comprehensive comparative analysis of five state-of-the-art deep learning models for Parkinson’s Disease (PD) detection.•Models evaluated include: MLP, RNN-LSTM, GRU,GAN and Autoencoder using voice...

An investigation into the preparation and evaluation of the physio-mechanical properties of glass-cotton, glass-jute, and glass-banana fiber-reinforced epoxy composite materials

•Hand layup method has been used to fabricate Glass-Cotton, Glass-Jute, and Glass-Banana Fiber-Reinforced Epoxy Composites.•Tensile strength, flexural strength, and water absorption properties of these...

Evaluating public bicycle sharing system in Ahmedabad, Gujarat: A multi-criteria decision-making approach

This study evaluates the existing Public Bicycle Sharing System (PBSS) at Ahmedabad, Gujarat by applying four decision-making methods such as Analytic Hierarchy Process (AHP), Fuzzy AHP, Analytic Network...

LLMs: A game-changer for software engineers?

•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...

Evaluatology’s perspective on AI evaluation in critical scenarios: From tail quality to landscape

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...

Regulatory landscape of blockchain assets: Analyzing the drivers of NFT and cryptocurrency regulation

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...

Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions

Machine learning significantly enhances clinical decision-making quality, directly impacting patient care with early diagnosis, personalized treatment,  and predictive analytics. Nonetheless, the increasing...

AICB: A benchmark for evaluating the communication subsystem of LLM training clusters

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...

Predicting the number of call center incoming calls using deep learning

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...

Tensor databases empower AI for science: A case study on retrosynthetic analysis

Retrosynthetic analysis is highly significant in chemistry, biology, and materials science, providing essential support for the rational design, synthesis, and optimization of compounds across diverse...

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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