All Stories

  1. CadCNN 1.0: A HYBRID DEEP NETWORK MODEL FOR CARDIAC ARRHYTHMIA DETECTION
  2. Feline Emotion Recognition Using Deep Learning: A Comprehensive EfficientNet-B0 Framework for Multi-Class Sentiment Analysis in Domestic Cats
  3. Boosted Query Expansion for Agricultural Decision Support: A Hybrid Framework Combining Case-Based Reasoning, Fuzzification, and Machine Learning
  4. A Prioritized-Recommendation System with Association Rule Mining and Random Forest for Retailing
  5. Vi-GeN 1.0: GAN-Augmented Vision Transformer Pipeline for Diversified Pneumonia Classification
  6. Attention enhanced hybrid deep learning model with 1D-CNN and BiLSTM for automated sleep apnea detection
  7. Deep Network Models for Alzheimer’s Diagnosis Using MRI: A Comparative Analysis of CNN and Hybrid CNN-LSTM Architectures
  8. Lung Cancer Identification with Deep Networks: Convolutional Neural Network or Transformers!
  9. DeepEcc 1.0: Ensemble Deep Learning Model Enriched with Whale Optimization for Cervical Cancer Identification
  10. 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
  11. DeepCCi 1.0: A Deep Learning Model for Cervical Cancer Identification
  12. An Artificial Intelligent Approach for Classifying Odia and Non-Odia Handwritten Script using Histogram of Oriented Gradients (HOG) Features
  13. Optimized Deep Learning Architecture for Maize Disease Detection Using Efficient Channel Attention and Transfer Learning
  14. Machine Learning-Driven Classification Framework Using ViT and Swin Transformers for Feature Extraction of Brain MRI Images
  15. Evaluating the Capability of Large Language Model Chatbots for Generating Plain Language Summaries in Radiology
  16. GenENet 1.0: A Deep Network Pipeline with Generative Adversarial Networks for Tumor Identification
  17. YouTube Sentiment Analyzer for Modi (YSAM): Unlocking YouTube Comment Sentiments with Machine Learning and Visualization
  18. AI-Powered Potato Plant Disease Detection: A Vision-Language Framework
  19. Facial Emotion Recognition for University Students using CNN: Transforming Learning Environment
  20. BCViMer 1.0: A Deep Network Pipeline for the Identification of Breast Cancer Using MRI Data
  21. PerSceptoMed 1.0: An advanced machine learning model for demographic-based antibiotic susceptibility prediction in Pseudomonas aeruginosa infections
  22. ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli
  23. CiGeN 1.0: A Generative AI Enabled Medical Image Augmentation Pipeline for Deep Network Models
  24. Diabetes Prediction in Healthcare Utilizing Machine Learning Algorithms
  25. Identification of Key Genetic Drivers in Multidrug Resistance: A Co-Expression Network Analysis of Pseudomonas aeruginosa
  26. ARGai 1.0: A GAN Augmented in Silico Approach for Identifying Resistant Genes and Strains in E. coli using Vision Transformer
  27. A Blockchain-Enhanced Framework for Efficient Paging and Energy Optimization in 5G Networks
  28. Enhanced Seizure Prediction Using XGBoost and EEG Data: A Machine Learning Approach with increasing Model Metrics
  29. Multichannel ECG-Based Heart Disease Detection with ResNet-50 and Decision-Tree Classifier
  30. HFai: Deep Networks for Detecting Heart Failure Progression
  31. DnnARs: An Artificial Intelligence Technique for Prediction of Antimicrobial Resistant Strains in E. coli Bacteria Causing Urine Tract Infection
  32. Modified Deep Neural Network Approach to Identify Heart Disease using IoMT: Artificial Neural Networks or Convolutional Neural Networks!
  33. ARGai: AI Fusion Approaches for Classification of S. aureus Strains and Identification of Antibiotic Resistant Genes
  34. Optimizing XGBoost for Enhanced Electrical Theft Detection: A Fusion of Particle Swarm and Jaya Optimization Techniques
  35. 13 Quantum-enhanced neural networks: bridging the quantum algorithm and machine learning
  36. Radiologic Decision-Making for Imaging in Pulmonary Embolism: Accuracy and Reliability of Large Language Models—Bing, Claude, ChatGPT, and Perplexity
  37. 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
  38. Weighted Bayesian Belief Network for diabetics: a predictive model
  39. Prevalence of multidrug-resistant Klebsiella pneumoniae in urinary tract infections: A retrospective observational study in eastern India
  40. aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli
  41. Deep Learning Techniques for Identification of Pneumonia: A CNN Approach
  42. ResNet-50: The Deep Networks for Automated Breast Cancer Classification using MR Images
  43. Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis
  44. An Investigation into Opportunities and Challenges for Forex Decision Making Using Machine Learning
  45. Radiological Differential Diagnoses Based on Cardiovascular and Thoracic Imaging Patterns: Perspectives of Four Large Language Models
  46. ANTIBIOLOG: An Advanced Tool for Combat Antibiotic Resistance With Enhanced Multinomial Logistic Regression
  47. Enhancing Fault Tolerance and Load Balancing in Cloud computing for improved e-healthcare Systems Performance
  48. Efficient Technique for Glioblastoma Multiforme Detection: Deep Learning or Transfer Learning
  49. Deep Learning Techniques for Biomedical Research and Significant Gene Identification using Next Generation Sequencing (NGS) Data: - A Review
  50. An IOT-Based Soil Moisture Management System for Precision Agriculture: Real-Time Monitoring and Automated Irrigation Control
  51. Challenges and Solution for Identification of Plant Disease Using Machine Learning & IoT
  52. A Comparative Analysis of Machine Learning Models for Colon Cancer Classification
  53. Predicting Pediatric Appendicitis using Ensemble Learning Techniques
  54. Deep learning approaches for high dimension cancer microarray data feature prediction: A review
  55. A neural network framework for predicting Adenocarcinoma cancer using high-throughput gene expression data
  56. ReCuRandom: A hybrid machine learning model for significant gene identification
  57. En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis
  58. Web-based Tool Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis
  59. An Enhanced Web-based Tools for Multiple Sequence Alignment: A Comparative Approach
  60. A Comparative Study using Next Generation Sequencing Data and Machine Learning Approach for Crohn's Disease (CD) Identification
  61. IRGM: An Integrated RNN-GRU Model for Stock Market Price Prediction
  62. Internet of Things brings Revolution in eHealth: Achievements and Challenges
  63. IoT Ecosystems Enable Smart Communication Solutions: A Case Study
  64. Quality Control Pipeline for Next Generation Sequencing Data Analysis
  65. Prediction of Smoking Addiction Among Youths Using Elastic Net and KNN: A Machine Learning Approach
  66. Interpretation of Optimized Hyper Parameters in Associative Rule Learning using Eclat and Apriori
  67. Gene Selection and Enrichment for Microarray Data—A Comparative Network Based Approach