Skill UI

This comprehensive guide helps authors assess if their manuscript is a suitable fit for Proceedings of the IEEE. It details the journal's high standards, guiding the transformation of primary research into comprehensive, balanced, and forward-looking review, survey, or tutorial articles. Use this resource to understand the required scope, synthesis depth, and common pitfalls to avoid desk rejection.

This guide helps authors determine if their manuscript is suitable for submission to Progress in Aerospace Sciences. It emphasizes that the journal requires comprehensive, critical review articles that synthesize existing knowledge, rather than presenting original primary research, simulations, or experiments. Use this tool for fit assessment, scope definition, and structural re-framing before submission.

This skill is designed to help authors determine if their manuscript is appropriate for submission to Progress in Energy and Combustion Science. It provides a rigorous checklist for evaluating whether a work meets the journal's high bar for critical synthesis, comprehensiveness, and authority. It guides authors to reframe primary research into an integrative, agenda-setting review, covering scope, method rigor, and specific submission requirements.

This skill guides authors needing to assess the suitability of their research on resource efficiency, waste management, or recycling for the journal Resources, Conservation & Recycling. It provides detailed expectations regarding Material Flow Analysis (MFA), Substance Flow Analysis (SFA), and the necessity of presenting quantified, measurable circularity contributions, ensuring rigorous methodological alignment with the circular economy framework.

A comprehensive guide for ensuring robust scientific reproducibility in robotics research (RSS). It structures evidence into distinct 'Replication Tiers' (e.g., Rerunnable, Auditable), distinguishing between the computational half (code, seeds) and the physical half (robot, environment, human protocol). It mandates the use of platform ledgers and raw trial logs to convert claims of trust into verifiable, auditable evidence.

This skill provides a detailed framework for researchers to determine the most suitable venue (e.g., RSS, ICRA, CoRL, IROS) for their robotics project paper. It teaches how to shift focus from merely demonstrating a system's capabilities to articulating a precise, testable scientific claim, ensuring the work is optimally presented to the target academic community.

This guide provides a comprehensive project management framework for submitting research to major robotics conferences, particularly RSS. It maps out the complex annual cycle, from abstract submission to final presentation, detailing critical deadlines, required milestones (like hardware trials and writing drafts), and fallback options at sibling venues (IROS, CoRL, ICRA). Essential for researchers managing time-sensitive academic pipelines.

This skill provides a detailed guide to the requirements and positioning of Science Robotics (Sci Robot), an AAAS journal. It helps authors determine if their robotics research meets the high bar for broad scientific or societal significance. Key areas covered include demonstrated real-world capability, required quantification of physical performance, AAAS submission structure, and best practices for venue selection, making it essential for authors targeting top-tier journals.

This guide provides a comprehensive audit checklist for designing and evaluating sensor-based systems (SenSys). It mandates rigorous, real-world measurements across five core axes: energy efficiency, on-device latency distribution, ground truth accuracy, deployment realism, and embedded AI footprint. It ensures that research results are based on measured hardware performance, not simulations or idealized baselines.

This guide details the unique two-deadline review model of SenSys. It provides authors with a comprehensive roadmap for interpreting complex rejection outcomes, structuring substantive revisions, formulating effective responses to reviewers, and understanding critical systems review criteria, such as energy measurement and baseline fairness. Essential reading for systems researchers.

A comprehensive guide for submitting networking research artifacts for SIGCOMM conferences. It dictates how to package code, downscale topologies, substitute traces, and pin environments so that reviewers can independently verify and reproduce the paper's headline results, establishing verifiable scientific claims.

This comprehensive guide outlines best practices for designing data systems evaluations, ensuring results are robust, reproducible, and convincing to expert reviewers. It covers workload realism, baseline fairness, necessary ablation studies, and advanced metric visualization techniques (e.g., sweeping curves, failure analysis) required for top-tier data systems research.