Category: Computer Science

AI tools are changing how web developers work
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Qualitative and quantitative study examining how web developers adopt AI tools, their efficiency gains, and persistent concerns about code quality and security vulnerabilities.

Proactive VM consolidation cuts energy use and SLA violations
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Framework for VM consolidation combining workload prediction and physics-constrained reinforcement learning. Achieves 23.2% energy reduction and 43.5% SLA violation reduction in cloud datacenters.

Review identifies priority blockchain domains for Bangladesh higher education
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Systematic review identifying priority blockchain applications in Bangladesh’s higher education sector to advance SDG 4, analyzing feasibility and urgency across nine key domains.

Blockchain can support traceability in agri-food systems
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Explore how blockchain technology enhances traceability and sustainability in agri-food systems while addressing governance challenges, interoperability issues, and equity concerns for smallholder.

LLMs favored female-named CVs and showed positional bias
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Study of 22 LLMs reveals consistent gender bias favoring female candidates and substantial positional bias in CV-based hiring decisions across 70 professions.

Adaptive formative assessment showed high estimation accuracy
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Formative adaptive assessment framework combining Item Response Theory-based computerized adaptive testing with Bayesian diagnostic modelling for engineering education competency assessment.

AI-integrated teaching improved animation training outcomes
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Explore how AI technology integration enhances animation education through optimized pose estimation and systematic curriculum design, improving both technical skills and artistic outcomes.

Lower bit depth reduced speaker recognition accuracy
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Quantization of neural network output tensors reduces storage for speaker recognition databases. Study evaluates bit depth reduction impacts on recognition accuracy across three architectures.

Hybrid deep learning improved edge-cloud task scheduling in simulation
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Deep reinforcement learning framework for adaptive task scheduling in edge-cloud computing with improved SLA compliance, reduced operational costs, and lower task rejection rates.

Prototype showed usable flow for beverage sales app
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Design Thinking methodology applied to Android-based beverage sales application prototype development for MSME digitalization in Nabire Regency, with usability evaluation.










