Article_ID | Name of the Research Article | Published Article Link |
---|---|---|
RCI-A001 | Deep Learning-Based Early Prediction of Diabetic Retinopathy: A Novel Approach | |
RCI-A002 | XGBoost Algorithm: A Robust Tool for Early Detection of Diabetic Macular Edema | |
RCI-A003 | Innovative Approach for Early Heart Disease Prediction: Gaussian Mixture Model and K-Nearest Neighbour | |
RCI-A004 | Improving Early Cardiomyopathy Diagnosis with CNNs: A Deep Learning-Based Approach | |
RCI-A005 | Optimizing Diabetic Kidney Disease (DKD) Diagnosis with Machine Learning: A Novel Approach | |
RCI-A006 | Machine Learning-Based Early Prediction of Chronic Kidney Disease: CNNs and Logistic Regression | |
RCI-A007 | Advanced Tool for Early Detection of Lung Disease Using SVM and Decision Tree | |
RCI-A008 | AI-Driven Early Prediction of Pulmonary Fibrosis Using Deep Learning | |
RCI-A009 | Machine Learning for Vascular Dementia Prediction: A Support Vector Regression Study | |
RCI-A010 | Early Prediction of Alzheimer’s dementia using Random Forest Machine Learning Algorithm: A Data-Driven Approach | |
RCI-A011 | Machine Learning-Driven Crop Recommendation System: Integrating Soil Characteristics and Weather Conditions | |
RCI-A012 | Empowering Agriculture with IoT and IPFS-Based Crop Monitoring Solutions | |
RCI-A013 | Precision Livestock Management: Real-Time Monitoring and Health Assessment of Livestock Using IoT and RFID Tag Technology for Enhanced Agricultural Productivity and Animal Welfare | |
RCI-A014 | Empowering Women’s Safety: Artificial Intelligence and IoT-Enabled Smart Wearable Device for Real-Time Monitoring and Emergency Assistance | |
RCI-A015 | YOLOv5 in Action: Protecting Crops from Wildlife with Real-Time Object Detection | |
RCI-A016 | Advanced Predictive Modelling of Natural Disasters Using Meta-Algorithm and IoT Sensors | |
RCI-A017 | A Comprehensive IoT-Based Multi-Sensor Framework for Predictive Food Spoilage Analysis | |
RCI-A018 | Revolutionizing Agriculture: Vertical Harvesting with AI and IoT Sensor Automation | |
RCI-A019 | Drones in Agriculture: Enhancing Precision Farming Through Advanced Aerial Techniques | |
RCI-A020 | Enhancing Mobility and Care for disabled person: A Smart Wheelchair with Health Monitoring and Physiotherapy Integration | |
RCI-A021 | Advanced Neural Network-Based Deep Learning Diagnostics for Enhanced Brain Tumour Detection in CT scans | |
RCI-A022 | Machine Learning in Oncology: SVM-Based Classification of Lung, Breast, Liver, and Throat Cancer from MRI Scans | |
RCI-A023 | Machine Learning Techniques for Accurate Staging of Lung Carcinoma from Low-Radiation CT scans | |
RCI-A024 | Precision Diagnostics for Atypical Carcinoids, Adenosquamous, and Mucoepidermoid Carcinomas: Advanced Machine Learning Algorithms. | |
RCI-A025 | A Novel framework for Liver Diseases prediction with Hepatoblastoma, Angiosarcoma, and Intrahepatic Cholangiocarcinoma types. | |
RCI-A026 | Innovative Image Processing Methods for Lung Cancer Detection and Stage Prediction | |
RCI-A027 | Comprehensive In Vivo and In Vitro Platform for Evaluating Drug Efficacy Against Cancer Cells in Patient Treatment. | |
RCI-A028 | Evaluation of Machine Learning Methods for Pancreatic Cancer Detection Using CT Scans. | |
RCI-A029 | Designing Machine Learning Models for COVID-19 Prediction and Drug Selection to Enhance Early Patient Recovery. | |
RCI-A030 | Improving Brain Cancer Survival Rate Prediction Using Deep Learning Techniques with MRI Scan Inputs | |
RCI-A031 | Deep Learning-Driven Drug Development by Identifying Human Protein Targets | |
RCI-A032 | personalized Cancer Drug Therapy Development Using Machine Learning and Omics Analysis. | |
RCI-A032 | Personalized Cancer Drug Therapy Development Using Machine Learning and Omics Analysis. | |
RCI-A033 | Development of Cancer Drug Targets and Potential Anti-Cancer Agents Using Deep Learning and Screening Processes | |
RCI-A034 | Enhanced Classification of Intestinal Permeability for Small Molecules and Peptides | |
RCI-A035 | Machine Learning Analysis of Druggable Protein Targets Using Binding Sites and Genomic Data” | |
RCI-A036 | Data Analytics for Clinical Decision Support: Leveraging Deep Learning Models for Enhanced Recognition | |
RCI-A037 | Deep Learning for Identifying Drug Repurposing Pipelines | |
RCI-A038 | Deep Learning for Drug Binding Affinity Prediction Using Protein Torsion Angles in Rational Drug Design | |
RCI-A039 | Early-Stage Lung Cancer Prediction and Stage Classification Using Machine Learning | |
RCI-A040 | Deep Learning Approach for Early Prediction and Diagnosis of Breast Cancer Tumours | |
RCI-C041 | Deep Learning Approaches for Drug Development by Identifying Human Protein Targets | |
RCI-C042 | Machine Learning-Based Forecasting of In Vitro Sensitivity to Breast Cancer Anticancer Drugs | |
RCI-C043 | AI-Driven Interaction Analysis of Drug Targets Using Multi-Omics Data Structures | |
RCI-C044 | Advanced Breast Cancer Diagnosis: Comparative Analysis of SVM, Random Forests, and Neural Networks in MRI Image Analysis | |
RCI-C045 | Deep Learning Diagnostics for NSCLC and SCLC: Enhancing Accuracy with CNNs and Clinical Metadata. | |
RCI-C046 | CT-Scan Analytics for Lung Diseases: Evaluating SVM, Decision Trees, and Neural Networks in Detecting Bronchial Carcinoids and Metastatic Lung Tumors | |
RCI-C047 | Advancements in Lung Cancer Diagnosis: A Comprehensive Study on the Role of PCA, LDA, and t-SNE in Deep Learning Frameworks | |
RCI-C048 | A Dual Machine Learning Approach for Differentiating Spindle Cell and Giant Cell Carcinomas and Assessing Severity Levels | |
RCI-C049 | Evaluating Machine Learning Methods for Bone Cancer Identification in MRI Scans | |
RCI-C050 | Development and Evaluation of an Intelligent Drug Release System Using Support Vector Machine Algorithm” |