All Stories

  1. Boosted Query Expansion for Agricultural Decision Support: A Hybrid Framework Combining Case-Based Reasoning, Fuzzification, and Machine Learning
  2. Vi-GeN 1.0: GAN-Augmented Vision Transformer Pipeline for Diversified Pneumonia Classification
  3. Attention enhanced hybrid deep learning model with 1D-CNN and BiLSTM for automated sleep apnea detection
  4. Deep Network Models for Alzheimer’s Diagnosis Using MRI: A Comparative Analysis of CNN and Hybrid CNN-LSTM Architectures
  5. aiGeneR 3.0: an enhanced deep network model for resistant strain identification and multi-drug resistance prediction in Escherichia coli causing urinary tract infection using next-generation sequencing data
  6. DeepCCi 1.0: A Deep Learning Model for Cervical Cancer Identification
  7. Evaluating the Capability of Large Language Model Chatbots for Generating Plain Language Summaries in Radiology
  8. GenENet 1.0: A Deep Network Pipeline with Generative Adversarial Networks for Tumor Identification
  9. YouTube Sentiment Analyzer for Modi (YSAM): Unlocking YouTube Comment Sentiments with Machine Learning and Visualization
  10. AI-Powered Potato Plant Disease Detection: A Vision-Language Framework
  11. Facial Emotion Recognition for University Students using CNN: Transforming Learning Environment
  12. BCViMer 1.0: A Deep Network Pipeline for the Identification of Breast Cancer Using MRI Data
  13. PerSceptoMed 1.0: An advanced machine learning model for demographic-based antibiotic susceptibility prediction in Pseudomonas aeruginosa infections
  14. ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli
  15. CiGeN 1.0: A Generative AI Enabled Medical Image Augmentation Pipeline for Deep Network Models
  16. Diabetes Prediction in Healthcare Utilizing Machine Learning Algorithms
  17. Identification of Key Genetic Drivers in Multidrug Resistance: A Co-Expression Network Analysis of Pseudomonas aeruginosa
  18. ARGai 1.0: A GAN Augmented in Silico Approach for Identifying Resistant Genes and Strains in E. coli using Vision Transformer
  19. A Blockchain-Enhanced Framework for Efficient Paging and Energy Optimization in 5G Networks
  20. Enhanced Seizure Prediction Using XGBoost and EEG Data: A Machine Learning Approach with increasing Model Metrics
  21. Multichannel ECG-Based Heart Disease Detection with ResNet-50 and Decision-Tree Classifier
  22. HFai: Deep Networks for Detecting Heart Failure Progression
  23. DnnARs: An Artificial Intelligence Technique for Prediction of Antimicrobial Resistant Strains in E. coli Bacteria Causing Urine Tract Infection
  24. Modified Deep Neural Network Approach to Identify Heart Disease using IoMT: Artificial Neural Networks or Convolutional Neural Networks!
  25. ARGai: AI Fusion Approaches for Classification of S. aureus Strains and Identification of Antibiotic Resistant Genes
  26. Optimizing XGBoost for Enhanced Electrical Theft Detection: A Fusion of Particle Swarm and Jaya Optimization Techniques
  27. Radiologic Decision-Making for Imaging in Pulmonary Embolism: Accuracy and Reliability of Large Language Models—Bing, Claude, ChatGPT, and Perplexity
  28. Genomic characterization and distribution of XDR Klebsiella pneumoniae ST15 carrying blaOXA-181 on ColKP3 plasmid from an ICH patient in eastern India: A global comparative analysis
  29. Weighted Bayesian Belief Network for diabetics: a predictive model
  30. Prevalence of multidrug-resistant Klebsiella pneumoniae in urinary tract infections: A retrospective observational study in eastern India
  31. aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli
  32. Deep Learning Techniques for Identification of Pneumonia: A CNN Approach
  33. ResNet-50: The Deep Networks for Automated Breast Cancer Classification using MR Images
  34. Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis
  35. An Investigation into Opportunities and Challenges for Forex Decision Making Using Machine Learning
  36. Radiological Differential Diagnoses Based on Cardiovascular and Thoracic Imaging Patterns: Perspectives of Four Large Language Models
  37. ANTIBIOLOG: An Advanced Tool for Combat Antibiotic Resistance With Enhanced Multinomial Logistic Regression
  38. Enhancing Fault Tolerance and Load Balancing in Cloud computing for improved e-healthcare Systems Performance
  39. Efficient Technique for Glioblastoma Multiforme Detection: Deep Learning or Transfer Learning
  40. Deep Learning Techniques for Biomedical Research and Significant Gene Identification using Next Generation Sequencing (NGS) Data: - A Review
  41. An IOT-Based Soil Moisture Management System for Precision Agriculture: Real-Time Monitoring and Automated Irrigation Control
  42. Challenges and Solution for Identification of Plant Disease Using Machine Learning & IoT
  43. A Comparative Analysis of Machine Learning Models for Colon Cancer Classification
  44. Predicting Pediatric Appendicitis using Ensemble Learning Techniques
  45. Deep learning approaches for high dimension cancer microarray data feature prediction: A review
  46. A neural network framework for predicting Adenocarcinoma cancer using high-throughput gene expression data
  47. ReCuRandom: A hybrid machine learning model for significant gene identification
  48. En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis
  49. Web-based Tool Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis
  50. An Enhanced Web-based Tools for Multiple Sequence Alignment: A Comparative Approach
  51. A Comparative Study using Next Generation Sequencing Data and Machine Learning Approach for Crohn's Disease (CD) Identification
  52. IRGM: An Integrated RNN-GRU Model for Stock Market Price Prediction
  53. Internet of Things brings Revolution in eHealth: Achievements and Challenges
  54. IoT Ecosystems Enable Smart Communication Solutions: A Case Study
  55. Quality Control Pipeline for Next Generation Sequencing Data Analysis
  56. Prediction of Smoking Addiction Among Youths Using Elastic Net and KNN: A Machine Learning Approach
  57. Interpretation of Optimized Hyper Parameters in Associative Rule Learning using Eclat and Apriori
  58. Gene Selection and Enrichment for Microarray Data—A Comparative Network Based Approach