All Stories

  1. Survey on Machine Learning Biases and Mitigation Techniques
  2. Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI
  3. Data Driven Approaches on Medical Imaging
  4. Empirical Study of Autism Spectrum Disorder Diagnosis Using Facial Images by Improved Transfer Learning Approach
  5. Accurate Numerical Treatment on a Stochastic SIR Epidemic Model with Optimal Control Strategy
  6. Adversarial Attacks and Defenses for Deployed AI Models
  7. A Modified Iterative Algorithm for Numerical Investigation of HIV Infection Dynamics
  8. Negative Selection Algorithm Research and Applications in the Last Decade: A Review
  9. Promise of AI in DeFi, a Systematic Review
  10. A clustering-based active learning method to query informative and representative samples
  11. Interpretable Learning Model for Lower Dimensional Feature Space: A Case study with Brown Spot Detection in Rice Leaf
  12. Dual-filtering (DF) schemes for learning systems to prevent adversarial attacks
  13. An Online Unsupervised Streaming Features Selection Through Dynamic Feature Clustering
  14. A Safer Approach to Build Recommendation Systems on Unidentifiable Data
  15. Promise of AI in Defi, A Literary Analysis
  16. Promise of AI in Defi, A Literary Analysis
  17. Utilizing Computational Complexity to Protect Cryptocurrency Against Quantum Threats: A Review
  18. Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance
  19. Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks
  20. Using Negative Detectors for Identifying Adversarial Data Manipulation in Machine Learning
  21. A Review on Comparative Remarks, Performance Evaluation and Improvement Strategies of Quadrotor Controllers
  22. Evaluating the Performance of Eigenface, Fisherface, and Local Binary Pattern Histogram-Based Facial Recognition Methods under Various Weather Conditions
  23. Recommend Speciality Doctor from Health Transcription: Ensemble Machine Learning Approach
  24. Understanding the Pandemic Through Mining Covid News Using Natural Language Processing
  25. Applicability issues of Evasion-Based Adversarial Attacks and Mitigation Techniques
  26. “Can NLP techniques be utilized as a reliable tool for medical science?” - Building a NLP Framework to Classify Medical Reports
  27. COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities
  28. Adversarial Input Detection Using Image Processing Techniques (IPT)
  29. CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space
  30. An Empirical Study on Algorithmic Bias
  31. Stylometry as a Reliable Method for Fallback Authentication
  32. Detect Review Manipulation by Leveraging Reviewer Historical Stylometrics in Amazon, Yelp, Facebook and Google Reviews
  33. Shamir's Secret Sharing for Authentication without Reconstructing Password
  34. Applications and Evaluations of Bio-Inspired Approaches in Cloud Security: A Review
  35. Malware Analytics: Review of Data Mining, Machine Learning and Big Data Perspectives
  36. A Hybrid POW-POS Implementation Against 51 percent Attack in Cryptocurrency System
  37. A Genetic Algorithm Approach to Optimize Dispatching for A Microgrid Energy System with Renewable Energy Sources
  38. Map Reduce Implementation for Malicious Websites Classification
  39. Leveraging Machine Learning Approach to Setup Software-Defined Network(SDN) Controller Rules During DDoS Attack
  40. Resolution Enhancement of Electron Microscopic Volume by Volume Restoration Technique
  41. A survey of blockchain from security perspective
  42. Smart Crowdsourcing Based Content Review System (SCCRS): An Approach to Improve Trustworthiness of Online Contents