Post by Aayushi Bansal
Assistant Professor | Ph.D. | AI Researcher
🚀 Research Milestone: 3 SCIE Publications in AI & Machine Learning I’m happy to share that my recent research contributions in Machine Learning, Computer Vision, and Intelligent Systems have been published in reputed SCIE-indexed journals (Q1). 📌 1. A Systematic Review on Data Scarcity Problem in Deep Learning: Solutions and Applications 📰 ACM Computing Surveys (CSUR), 2022 (Impact Factor: 30.4) 🔗 https://lnkd.in/gHpfwJdK 📌 2. Diversity-Regularized Multi-Objective Optimized Random Forest for Fall Detection Using Cost-Sensitive and Key-Point Feature-Based Learning 📰 Computers & Electrical Engineering, Elsevier, 2025 (Impact Factor: 5.5) 🔗 https://lnkd.in/g4apDcSP 📌 3. Adaptive Bayesian Optimized Spatio-Temporal Network for Fall Detection 📰 Pervasive and Mobile Computing, Elsevier, 2026 (Impact Factor: 3.9) 🔗 https://lnkd.in/gsEkrVk3 Looking forward to further exploring advanced optimization techniques and efficient AI models to build scalable and real-time intelligent systems.