springernature

API wrapper for the Springer Nature API

Free guide for researchers: Word to LaTeX and PDF to LaTeX conversion, journal templates (IEEE, Elsevier, Springer, ACM, MDPI, arXiv), LaTeX compilation errors, and PhD thesis formatting.

A template for easily creating pretty, nicely formatted Springer Journal articles using Myst Markdown

a full-stack web app that suggests weekly research papers to subscribers based on specified interests

Quantum-Backed Integrity for Industrial Blockchain Events: A Secure Logging Framework Using Qiskit and Ethereum. In Frédéric Barbaresco and François Gerin (eds), Quantum Engineering Sciences and Technologies for Industry and Services, QUEST-IS 2025. Communications in Computer and Information Science, vol. 2744, pp. 346–351.

International Conference on Artificial Intelligence and Networking (ICAIN-2025) ✈

This code was generated for the SpringerNature Hackday London to mine metadata for conference proceedings.

The repository for the chapter about NBS-Predict in “Methods for analyzing large neuroimaging datasets” by Springer Nature.

AI chatbot evaluation benchmark for mental health and suicide prevention with rule-based ethical alignment, inclusivity scoring, and sentiment analysis. Research paper submitted to AI & Society (Springer Nature) under review.

Explore papers related to the 'ZeroHunger' SDG topic. A Django prototype made during a hack day.

Navigation of the links to DBpedia generated in the context of https://github.com/dbpedia/sci-graph-links

Machine Learning and IoT-based precision irrigation system using a Decision Tree classifier, Arduino soil moisture sensors, Streamlit, and OpenWeather API to generate real-time crop-specific irrigation recommendations.

An SLR tool

This chapter explores the multifaceted roles of miRNAs in gynecological cancer biology, emphasizing their contribution to disease progression and therapeutic resistance, and discusses their potential as promising biomarkers and therapeutic targets.

This paper explores the integration of mood detection techniques with music recommendation systems, using pulse rate analysis to determine stress levels and suggest personalized music based on the user's emotional state. The system combines pulse detection with AI to deliver tailored music recommendations that enhance the listener's experience.