ML for anomaly detection and forecasting

INDJCST | ML for Anomaly Detection and Forecasting

📘Indian Journal of Computer Science and Technology (INDJCST)

The Indian Journal of Computer Science and Technology (INDJCST) (e-ISSN: 2583-5300) is a peer-reviewed, open-access scientific journal publishing state-of-the-art research across computational domains. Published three times annually, it provides experts and innovators a trusted platform. Widely considered among the best Computer Science journals, INDJCST ensures credibility through stringent peer-review and COPE-aligned practices.

🔍Focus on ML for Anomaly Detection and Forecasting

ML for anomaly detection and forecasting represents a core AI research domain enabling systems to identify abnormal behaviors and predict future outcomes in real time. Anomaly detection is vital in cybersecurity threat monitoring, fraud detection, predictive maintenance, and healthcare diagnostics. Forecasting powered by machine learning boosts industries such as energy, stock trading, traffic analytics, and environmental science.

Research in this space explores deep learning networks, unsupervised clustering, and hybrid models to enhance accuracy and adaptability. Publishing such work in INDJCST gives global visibility and embeds your contributions in one of the best Computer Science journals.

🚀Why Choose INDJCST?

  • ⚡ Rapid Peer Review: Decisions on ML for anomaly detection and forecasting papers within 3 days.
  • 🌍 Open Access: Immediate worldwide availability in digital repositories.
  • 🔄 Streamlined Workflow: Efficiently managed online submission and publishing cycle.
  • 🛡️ High Integrity: Comprehensive plagiarism checks to protect scholarly outputs.
  • ✅ COPE Compliant: Upholding top-level publication ethics.
  • 📈 Wide Relevance: Research applied across industries, academia, and policy-making.

📊Indexing & Abstracting

Papers in INDJCST are indexed in Google Scholar, Semantic Scholar, Mendeley, SSRN, WorldCAT, Dimensions, ExLibris, PLumX, and ResearchBIB. This ensures that contributions on ML for anomaly detection and forecasting achieve maximum reach and recognition, reinforcing INDJCST as one of the best Computer Science journals.

📝Publication Process

  • ⏰ Submission: 24/7 online system
  • 💬 Initial Acknowledgment: Delivered within 12 hours
  • 🔬 Peer Review: Completed in 2 days
  • 📩 Final Decision: Reached within 3 days
  • 📄 Publication: Instant PDF access with digital certificate

💰Article Processing Charges

  • 🇮🇳 Indian Authors: Without DOI – 1200 INR + 18% GST | With DOI – 1400 INR + 18% GST
  • 🌎 International Authors: With DOI – 60 USD

⚙️Advanced Editorial Management

Authors enjoy a personalized dashboard, real-time tracking of submissions, auto-generated acceptance letters, and one-click certificate downloads. Designed with transparency and efficiency, our system enhances confidence at every stage of publication.

🏆Why INDJCST is Among the Best Computer Science Journals

INDJCST ensures strong global impact and reputation by advancing domains like ML for anomaly detection and forecasting. Owing to wide indexing, strict peer review, and open access, it stands ranked as one of the best Computer Science journals shaping the future of artificial intelligence, predictive analytics, and anomaly management research.