All Stories

  1. MrmrXgBr: A Machine Learning Model for Breast Cancer Identification Using Next-Generation Sequencing Data

    Article • August 2026, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  2. ARGai 3.0: AI fusion approach to identify antibiotic-resistant strains in E. coli using high-throughput whole genome sequencing data

    Article • International Journal of Data Science and Analytics, August 2026, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  3. CadCNN 1.0: A HYBRID DEEP NETWORK MODEL FOR CARDIAC ARRHYTHMIA DETECTION

    Article • Biomedical Engineering Applications Basis and Communications, May 2026, National Taiwan University

    Mr. Debasish Swapnesh Kumar Nayak

  4. Feline Emotion Recognition Using Deep Learning: A Comprehensive EfficientNet-B0 Framework for Multi-Class Sentiment Analysis in Domestic Cats

    Article • December 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  5. Boosted Query Expansion for Agricultural Decision Support: A Hybrid Framework Combining Case-Based Reasoning, Fuzzification, and Machine Learning

    Article • Tikrit Journal of Engineering Sciences, December 2025, Tikrit University

    Mr. Debasish Swapnesh Kumar Nayak

  6. A Prioritized-Recommendation System with Association Rule Mining and Random Forest for Retailing

    Article • November 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  7. Vi-GeN 1.0: GAN-Augmented Vision Transformer Pipeline for Diversified Pneumonia Classification

    Article • Journal of Transformative Technologies and Sustainable Development, November 2025, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  8. Attention enhanced hybrid deep learning model with 1D-CNN and BiLSTM for automated sleep apnea detection

    Article • Discover Applied Sciences, November 2025, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  9. Deep Networks and Internet of Medical Things for Tracking the Post Surgical Recovery Condition: A Comparative Approach

    Article • November 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  10. Deep Network Models for Alzheimer’s Diagnosis Using MRI: A Comparative Analysis of CNN and Hybrid CNN-LSTM Architectures

    Article • November 2025, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  11. Lung Cancer Identification with Deep Networks: Convolutional Neural Network or Transformers!

    Article • October 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  12. DeepEcc 1.0: Ensemble Deep Learning Model Enriched with Whale Optimization for Cervical Cancer Identification

    Article • October 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  13. 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

    Article • Frontiers in Genetics, October 2025, Frontiers

    Dr. Mudassir Khan, Mr. Debasish Swapnesh Kumar Nayak

  14. DeepCCi 1.0: A Deep Learning Model for Cervical Cancer Identification

    Article • October 2025, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  15. An Artificial Intelligent Approach for Classifying Odia and Non-Odia Handwritten Script using Histogram of Oriented Gradients (HOG) Features

    Article • October 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  16. Optimized Deep Learning Architecture for Maize Disease Detection Using Efficient Channel Attention and Transfer Learning

    Article • August 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  17. Machine Learning-Driven Classification Framework Using ViT and Swin Transformers for Feature Extraction of Brain MRI Images

    Article • August 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  18. HPVC 1.0: Computational Intelligence in Human Papillomavirus Classification - A Machine Learning and Deep Learning Paradigm

    Article • August 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  19. Evaluating the Capability of Large Language Model Chatbots for Generating Plain Language Summaries in Radiology

    Article • iRADIOLOGY, August 2025, Wiley

    Mr. Debasish Swapnesh Kumar Nayak

  20. GenENet 1.0: A Deep Network Pipeline with Generative Adversarial Networks for Tumor Identification

    Article • July 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  21. YouTube Sentiment Analyzer for Modi (YSAM): Unlocking YouTube Comment Sentiments with Machine Learning and Visualization

    Article • July 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  22. AI-Powered Potato Plant Disease Detection: A Vision-Language Framework

    Article • June 2025, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  23. Facial Emotion Recognition for University Students using CNN: Transforming Learning Environment

    Article • May 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  24. BCViMer 1.0: A Deep Network Pipeline for the Identification of Breast Cancer Using MRI Data

    Article • February 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  25. PerSceptoMed 1.0: An advanced machine learning model for demographic-based antibiotic susceptibility prediction in Pseudomonas aeruginosa infections

    Article • Engineering Applications of Artificial Intelligence, February 2025, Elsevier

    Mr. Debasish Swapnesh Kumar Nayak

  26. ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli

    Article • International Journal of Online and Biomedical Engineering (iJOE), January 2025, International Association of Online Engineering (IAOE)

    Mr. Debasish Swapnesh Kumar Nayak

  27. CiGeN 1.0: A Generative AI Enabled Medical Image Augmentation Pipeline for Deep Network Models

    Article • January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  28. Diabetes Prediction in Healthcare Utilizing Machine Learning Algorithms

    Article • January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  29. Identification of Key Genetic Drivers in Multidrug Resistance: A Co-Expression Network Analysis of Pseudomonas aeruginosa

    Article • January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  30. ARGai 1.0: A GAN Augmented in Silico Approach for Identifying Resistant Genes and Strains in E. coli using Vision Transformer

    Article • Computational Biology and Chemistry, January 2025, Elsevier

    Mr. Debasish Swapnesh Kumar Nayak

  31. A Blockchain-Enhanced Framework for Efficient Paging and Energy Optimization in 5G Networks

    Article • December 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  32. Enhanced Seizure Prediction Using XGBoost and EEG Data: A Machine Learning Approach with increasing Model Metrics

    Article • December 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  33. Multichannel ECG-Based Heart Disease Detection with ResNet-50 and Decision-Tree Classifier

    Article • December 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  34. HFai: Deep Networks for Detecting Heart Failure Progression

    Article • December 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  35. DnnARs: An Artificial Intelligence Technique for Prediction of Antimicrobial Resistant Strains in E. coli Bacteria Causing Urine Tract Infection

    Article • SN Computer Science, November 2024, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  36. Modified Deep Neural Network Approach to Identify Heart Disease using IoMT: Artificial Neural Networks or Convolutional Neural Networks!

    Article • November 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  37. ARGai: AI Fusion Approaches for Classification of S. aureus Strains and Identification of Antibiotic Resistant Genes

    Article • September 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  38. Optimizing XGBoost for Enhanced Electrical Theft Detection: A Fusion of Particle Swarm and Jaya Optimization Techniques

    Article • July 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  39. 13 Quantum-enhanced neural networks: bridging the quantum algorithm and machine learning

    Article • July 2024, De Gruyter

    Mr. Debasish Swapnesh Kumar Nayak

  40. Radiologic Decision-Making for Imaging in Pulmonary Embolism: Accuracy and Reliability of Large Language Models—Bing, Claude, ChatGPT, and Perplexity

    Article • Indian Journal of Radiology and Imaging, July 2024, Thieme Publishing Group

    Mr. Debasish Swapnesh Kumar Nayak

  41. 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

    Article • Gene Reports, July 2024, Elsevier

    Mr. Debasish Swapnesh Kumar Nayak

  42. Weighted Bayesian Belief Network for diabetics: a predictive model

    Article • Frontiers in Artificial Intelligence, April 2024, Frontiers

    Mr. Debasish Swapnesh Kumar Nayak

  43. Prevalence of multidrug-resistant Klebsiella pneumoniae in urinary tract infections: A retrospective observational study in eastern India

    Article • Microbes and Infectious Diseases, April 2024, Egypts Presidential Specialized Council for Education and Scientific Research

    Mr. Debasish Swapnesh Kumar Nayak

  44. aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli

    Article • Frontiers in Bioscience-Landmark, February 2024, IMR Press

    Mr. Debasish Swapnesh Kumar Nayak

  45. Deep Learning Techniques for Identification of Pneumonia: A CNN Approach

    Article • January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  46. ResNet-50: The Deep Networks for Automated Breast Cancer Classification using MR Images

    Article • January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  47. Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis

    Article • SN Computer Science, January 2024, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  48. An Investigation into Opportunities and Challenges for Forex Decision Making Using Machine Learning

    Article • January 2024, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  49. Radiological Differential Diagnoses Based on Cardiovascular and Thoracic Imaging Patterns: Perspectives of Four Large Language Models

    Article • Indian Journal of Radiology and Imaging, December 2023, Thieme Publishing Group

    Mr. Debasish Swapnesh Kumar Nayak

  50. ANTIBIOLOG: An Advanced Tool for Combat Antibiotic Resistance With Enhanced Multinomial Logistic Regression

    Article • November 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  51. Enhancing Fault Tolerance and Load Balancing in Cloud computing for improved e-healthcare Systems Performance

    Article • November 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  52. Efficient Technique for Glioblastoma Multiforme Detection: Deep Learning or Transfer Learning

    Article • October 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  53. Deep Learning Techniques for Biomedical Research and Significant Gene Identification using Next Generation Sequencing (NGS) Data: - A Review

    Article • September 2023, Bentham Science Publishers

    Mr. Debasish Swapnesh Kumar Nayak

  54. An IOT-Based Soil Moisture Management System for Precision Agriculture: Real-Time Monitoring and Automated Irrigation Control

    Article • September 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  55. Challenges and Solution for Identification of Plant Disease Using Machine Learning & IoT

    Article • International Journal of Computer and Communication Technology, July 2023, Institute for Project Management Pvt. Ltd

    Mr. Debasish Swapnesh Kumar Nayak

  56. A Comparative Analysis of Machine Learning Models for Colon Cancer Classification

    Article • June 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  57. Predicting Pediatric Appendicitis using Ensemble Learning Techniques

    Article • Procedia Computer Science, January 2023, Elsevier

    Mr. Debasish Swapnesh Kumar Nayak

  58. Deep learning approaches for high dimension cancer microarray data feature prediction: A review

    Article • January 2023, Elsevier

    Mr. Debasish Swapnesh Kumar Nayak

  59. A neural network framework for predicting Adenocarcinoma cancer using high-throughput gene expression data

    Article • January 2023, American Institute of Physics

    Mr. Debasish Swapnesh Kumar Nayak

  60. ReCuRandom: A hybrid machine learning model for significant gene identification

    Article • January 2023, American Institute of Physics

    Mr. Debasish Swapnesh Kumar Nayak

  61. En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis

    Article • IEEE Access, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  62. Web-based Tool Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis

    Article • December 2022, Cold Spring Harbor Laboratory Press

    Mr. Debasish Swapnesh Kumar Nayak

  63. An Enhanced Web-based Tools for Multiple Sequence Alignment: A Comparative Approach

    Article • November 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  64. A Comparative Study using Next Generation Sequencing Data and Machine Learning Approach for Crohn's Disease (CD) Identification

    Article • August 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  65. IRGM: An Integrated RNN-GRU Model for Stock Market Price Prediction

    Article • August 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  66. Internet of Things brings Revolution in eHealth: Achievements and Challenges

    Article • International Journal of Smart Sensor and Adhoc Network, March 2022, Institute for Project Management Pvt. Ltd

    Mr. Debasish Swapnesh Kumar Nayak

  67. IoT Ecosystems Enable Smart Communication Solutions: A Case Study

    Article • International Journal of Smart Sensor and Adhoc Network, January 2022, Institute for Project Management Pvt. Ltd

    Mr. Debasish Swapnesh Kumar Nayak

  68. Quality Control Pipeline for Next Generation Sequencing Data Analysis

    Article • January 2022, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  69. Prediction of Smoking Addiction Among Youths Using Elastic Net and KNN: A Machine Learning Approach

    Article • January 2022, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak

  70. Interpretation of Optimized Hyper Parameters in Associative Rule Learning using Eclat and Apriori

    Article • April 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Mr. Debasish Swapnesh Kumar Nayak

  71. Gene Selection and Enrichment for Microarray Data—A Comparative Network Based Approach

    Article • December 2017, Springer Science + Business Media

    Mr. Debasish Swapnesh Kumar Nayak