| SL NO. |
AUTHOR NAME |
TITLE OF THE PAPER |
TITLE OF THE CONFERENCE/JOURNAL |
AFFILIATION |
AUTHOR TYPE |
YEAR |
| 1 |
Dr. Sibo Prasad Patro |
Revolutionizing Agricultural Health: Deep Learning for Crop Disease Diagnosis |
2024 Third International Conference on Trends in Electrical, Electronics, and Computer Engineering (TEECCON) |
GIETU |
2nd |
2024 |
| 2 |
Dr. Rasmita Panigrahi |
Refactoring Prediction Improvement using Various Feature Selection and Data Sampling Techniques |
International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
1st |
2024 |
| 3 |
Dr. Bhavani Sankar Panda |
Enhancing Breast Cancer Prediction Through Machine Learning Techniques |
2024 International Conference on Sustainable Communication Networks and Application (ICSCNA) |
GIETU |
2nd |
2024 |
| 4 |
Dr. Rasmita Panigrahi |
Comparative Analysis of Optimization Techniques and Hybrid Classification Models for Enhanced Soil Fertility Prediction |
2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) |
GIETU |
2nd |
2024 |
| 5 |
Dr. Neelamadhab Padhy |
Detecting Atmosphere Contamination with IOT Devices |
International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
2nd |
2024 |
| 6 |
Dr. Rasmita Panigrahi |
Predicting Code Smells: A Comparative Study of Machine Learning Classifiers for God Class and Data Class |
2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) |
GIETU |
2nd |
2024 |
| 7 |
Mrs. A Sree Laxmi |
An optimized approach towards increasing the sale rate in a Grocery Mart by using Association Rule Mining Approaches |
2024 International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
1st |
2024 |
| 8 |
Dr. Sibo Prasad Patro |
A Deep Learning Approach for Enhancing Cardiovascular Disease Prediction Using ECG Data |
2nd International Conference on Signal Processing, Communication, Power and Embedded System |
GIETU |
2nd |
2024 |
| 9 |
Dr. Bhavani Sankar Panda |
A Model for Predicting Chronic Renal Failure using CatBoost Classifier Algorithm and XGBClassifier |
SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS, ICICI 2024 |
GIETU |
5th |
2024 |
| 10 |
Dr. Neelamadhab Padhy |
State-of-the-art of soil mineral data extraction and crop recommendation using learning tools |
AIP Conference Proceedings |
GIETU |
3rd |
2024 |
| 11 |
Dr. Kakita Murali Gopal |
CNN-Driven Nutritional Analysis: Predicting Food Composition Via Image Processing Techniques |
International Conference on Integrated Intelligence and Communication Systems (ICIICS) |
GIETU |
2nd |
2024 |
| 12 |
Dr. Raghvendra Kumar |
Utilizing Windows Event logs for Malware Detection using Machine Learning |
IET Conference Proceedings |
GIETU |
2nd |
2024 |
| 13 |
Dr. Kakita Murali Gopal |
A Comparison of Various Task Scheduling Algorithm Using Cloudsim |
3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON) |
GIETU |
2nd |
2024 |
| 14 |
Dr. M. Chandra Naik |
A Short Survey of AI-driven Load Distribution for Electronic Health Record Management with Recent Deployed Techniques Research Gaps and Challenges |
5th International Conference on Smart Electronics and Communication (ICOSEC) |
GIETU |
2nd |
2024 |
| 15 |
Dr. Neelamadhab Padhy |
A Machine Learning-Enabled System for Crop Recommendation |
The 3rd International Electronic Conference on Processes) |
GIETU |
4th |
2024 |
| 16 |
Dr. Neelamadhab Padhy |
A Recommendation System for E-Commerce Products Using Collaborative Filtering Approaches |
The 3rd International Electronic Conference on Processes) |
GIETU |
1st |
2024 |
| 17 |
Dr. Neelamadhab Padhy |
Reviewing the Landscape: Component-Based Software Engineering Practices and Challenges |
International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
2nd |
2024 |
| 18 |
Dr. Neelamadhab Padhy |
Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment |
The 3rd International Electronic Conference on Processes) |
GIETU |
6th |
2024 |
| 19 |
Dr. Rasmita Panigrahi |
Integrated Internet of Things and Artificial Intelligence System for Real-Time Multi-Nutrient Water Quality Analysis in Agriculture |
11th International Electronic Conference on Sensors and Applications |
GIETU |
2nd |
2024 |
| 20 |
Dr. Neelamadhab Padhy |
Applying Machine Learning for Sustainable Farm Management: Integrating Crop Recommendations and Disease Identification |
Applying Machine Learning for Sustainable Farm Management:
Integrating Crop Recommendations and Disease Identification |
GIETU |
2nd |
2024 |
| 21 |
Dr. Sibo Prasad Patro |
Revolutionizing Agricultural Health: Deep Learning for Crop Disease Diagnosis |
2024 Third International Conference on Trends in Electrical, Electronics, and Computer Engineering (TEECCON) |
GIETU |
2nd |
2024 |
| 22 |
Dr. Neelamadhab Padhy |
Enhancing Soil Fertility Prediction Through Federated Learning on IoT-Generated Datasets with a Feature Selection Perspective |
The 11th International Electronic Conference on Sensors and Applications) |
GIETU |
2nd |
2024 |
| 23 |
Dr. Neelamadhab Padhy |
Boosting Agricultural Productivity Using IoT and Machine Learning-Based Crop Recommendation |
2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) |
GIETU |
2nd |
2024 |
| 24 |
Dr. Rasmita Panigrahi |
Revealing MOVE METHOD: Machine Learning-driven Real-time Refactoring Identification for Enhanced Software Quality |
2024 International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
2nd |
2024 |
| 25 |
Mr. Tirupati Sahu |
Predicting Crop Yield Sale Prices with Computer Vision and Machine Learning Techniques |
Predicting Crop Yield Sale Prices with Computer Vision and Machine Learning Techniques |
GIETU |
1st |
2024 |
| 26 |
Dr. Rasmita Panigrahi |
Comparative Analysis of Optimization Techniques and Hybrid Classification Models for Enhanced Soil Fertility Prediction |
2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) |
GIETU |
2nd |
2024 |
| 27 |
Dr. Rasmita Panigrahi |
Refactoring Prediction Improvement using Various Feature Selection and Data Sampling Techniques |
International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
1st |
2024 |
| 28 |
Dr. Rasmita Panigrahi |
Performance Evaluation of Support Vector Classifier Kernel Functions in Method-Level Refactoring Analysis |
IEEE Students Conference on Engineering and Systems (SCES) |
GIETU |
2nd |
2024 |
| 29 |
Mr. Tirupati Sahu |
Use of AI and Federated Learning for accurate software estimation. |
The 5th International Electronic Conference on Applied Sciences session Computing and Artificial Intelligence |
GIETU |
1st |
2024 |
| 30 |
Dr. Neelamadhab Padhy |
Beyond Words: Contextual Sarcasm Detection in News Texts using Advanced Models |
International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
4th |
2024 |
| 31 |
Dr. Rasmita Panigrahi |
Predicting Code Smells: A Comparative Study of Machine Learning Classifiers for God Class and Data Class |
2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) |
GIETU |
2nd |
2024 |
| 32 |
Dr. Neelamadhab Padhy |
An optimized approach towards increasing the sale rate in a Grocery Mart by using Association Rule Mining Approaches |
International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
2nd |
2024 |
| 33 |
Dr. Neelamadhab Padhy |
Natural Language Interface for Database Querying: A Multilingual Chatbot |
The 5th International Electronic Conference on Applied Sciences session Computing and Artificial Intelligence |
GIETU |
2nd |
2024 |
| 34 |
Dr. Neelamadhab Padhy |
Integration of IoT and Machine Learning for Real-Time Monitoring and Control of Heart Disease Patients |
The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering) |
GIETU |
1st |
2024 |
| 35 |
Dr. Neelamadhab Padhy |
Code Smell Detection Using Deep Learning Models to Enhance the Software Quality |
Computing, Communication and Learning |
GIETU |
2nd |
2024 |
| 36 |
Dr. Neelamadhab Padhy |
Process Control and Monitoring in Social Network Analysis: Leveraging Insights for Enhanced Connectivity |
The 3rd International Electronic Conference on Processes session Process Control and Monitoring |
GIETU |
1st |
2024 |
| 37 |
Dr. Neelamadhab Padhy |
Detecting Atmosphere Contamination with IOT Devices |
International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
2nd |
2024 |
| 38 |
Mr. Murali Krishna Senapaty |
State-of-the-art of soil mineral data extraction and crop recommendation using learning tools |
SECOND INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION NETWORKS |
GIETU |
1st |
2024 |
| 39 |
Mrs. Archana Patnaik |
Quality Assessment of Software Projects Using Machine Learning |
Recent Trends in Intelligent Systems and Next Generation Wireless Communication |
GIETU |
1st |
2024 |
| 40 |
Dr. Neelamadhab Padhy |
Agricultural Pest Classification Using Transfer Learning: A Process Control and Monitoring Perspective |
The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering) |
GIETU |
2nd |
2024 |
| 41 |
Dr. Neelamadhab Padhy |
ISpot: An intelligent real-time pothole spot identification model using a CNN algorithm |
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024) |
GIETU |
2nd |
2024 |
| 42 |
Dr. Neelamadhab Padhy |
Utilizing Machine Learning for Language Prediction and Text Emotion Analysis |
The 3rd International Electronic Conference on Processes session Process Control and Monitoring |
GIETU |
1st |
2024 |
| 43 |
Dr.Sibo Prasad Patro |
Analysis of Cardiovascular Disease Prediction Using Various Machine Learning and Deep Learning Algorithms |
Intelligent Technologies |
GIETU |
1st |
2024 |
| 44 |
Dr. Neelamadhab Padhy |
Educational Data Mining for Personalized Learning: A Sentiment Analysis and Process Control Perspective † |
The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering) |
GIETU |
2nd |
2024 |
| 45 |
Dr. Neelamadhab Padhy |
Agri-horticulture Commodity Price Prediction by Deep Learning Techniques |
2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) |
GIETU |
2nd |
2024 |
| 46 |
Dr. A.V.S Pavan Kumar |
IoT Enabled Early Detection of Lung Cancer Using CT Scan Images and Machine Learning Techniques |
2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES) |
GIETU |
2nd |
2024 |
| 47 |
Dr. Neelamadhab Padhy |
Exploring CNN Architectures for Seizure Detection from MRI during Pregnancy |
3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC) |
GIETU |
2nd |
2024 |
| 48 |
Dr. Neelamadhab Padhy |
Data-Driven Air Quality Prediction with Batch Normalization in Long Short-Term Memory Networks |
Proceedings of Fifth Doctoral Symposium on Computational Intelligence |
GIETU |
2nd |
2024 |
| 49 |
Dr. Neelamadhab Padhy |
Integrating Attention Mechanism for Accurate Skin Cancer Diagnosis |
2024 International Conference on Emerging Systems and Intelligent Computing (ESIC) |
GIETU |
2nd |
2024 |
| 50 |
Dr. Neelamadhab Padhy |
Leveraging Machine Learning for Process Monitoring in
Environmental Impact Tracking |
The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering |
GIETU |
3rd |
2024 |
| 51 |
Dr. Neelamadhab Padhy |
Comprehensive Analysis of Maternal and Newborn Health: Factors, Risks, and Interventions |
The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering) |
GIETU |
6th |
2024 |
| 52 |
Dr. Neelamadhab Padhy |
IoT-Based Smart Irrigation System Using Hybrid Ensemble Models for Water Usage Prediction |
The 5th International Electronic Conference on Applied Sciences session Computing and Artificial Intelligence |
GIETU |
4th |
2024 |
| 53 |
Mrs. A Sree Laxmi |
Hybrid Association Rule Mining and Clustering for Enhanced Market Basket Analysis |
The 5th International Electronic Conference on Applied Sciences session Computing and Artificial Intelligence |
GIETU |
1st |
2024 |
| 54 |
Dr. Neelamadhab Padhy |
Advanced IoT Solutions for Plant Growth Monitoring: A Comparative Analysis of Machine Learning Approaches |
The 5th International Electronic Conference on Applied Sciences session Electrical, Electronics and Communications Engineering |
GIETU |
2nd |
2024 |
| 55 |
Dr. Neelamadhab Padhy |
Farm Forecast: An AI-Powered predictive system for stabilizing Agricultural council prices |
The 5th International Electronic Conference on Applied Sciences session Computing and Artificial Intelligence |
GIETU |
2nd |
2024 |
| 56 |
Dr. Raghvendra Kumar |
Efficient solid waste inspection through drone-based aerial imagery and TinyML vision model |
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES |
GIETU |
5th |
2024 |
| 57 |
Dr. Raghvendra Kumar |
Retraction note: Compression based clustering technique for enhancing accuracy in web scale videos (Multimedia Tools and Applications (2021) 80 5 (7077-7101) 10 1007/s11042-020-10062-w) |
Multimedia Tools and Applications |
GIETU |
5th |
2024 |
| 58 |
Dr. Raghvendra Kumar |
Retraction note: Compression-based clustering technique for enhancing accuracy in web scale videos |
Multimedia Tools and Applications |
GIETU |
5th |
2024 |
| 59 |
Dr. Raghvendra Kumar |
Retraction note: Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorithm (Soft Computing) |
Soft Computing |
GIETU |
2nd |
2024 |
| 60 |
Dr.Neelamadhab Padhy |
Exploring explainable AI methods for bird sound-based species recognition systems |
MULTIMEDIA TOOLS AND APPLICATIONS |
GIETU |
2nd |
2024 |
| 61 |
Dr.Neelamadhab Padhy |
A Decision Support System for Crop Recommendation Using Machine Learning Classification Algorithms |
AGRICULTURE-BASEL |
GIETU |
2nd |
2024 |
| 62 |
Dr.Neelamadhab Padhy |
Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches (vol 11, 10, 2022) |
COMPUTERS |
GIETU |
2nd |
2024 |
| 63 |
Dr.Neelamadhab Padhy |
Brain Tumor Segmentation and Detection Utilizing Deep Learning Convolutional Neural Networks |
International Journal of Computational and Experimental Science and Engineering |
GIETU |
2nd |
2024 |
| 64 |
Dr.Neelamadhab Padhy |
AutoML Trading: A Rule-Based Model to Predict the Bull and Bearish Market |
Journal of The Institution of Engineers (India): Series B |
GIETU |
2nd |
2024 |
| 65 |
Dr.Neelamadhab Padhy |
Exploring explainable AI methods for bird sound-based species recognition systems |
Multimedia Tools and Applications |
GIETU |
2nd |
2024 |
| 66 |
Dr.Neelamadhab Padhy |
Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment † |
Engineering Proceedings |
GIETU |
5th |
2024 |
| 67 |
Dr.Neelamadhab Padhy |
Speeded up robust features trailed GCN for seizure identification during pregnancy |
Journal of Integrated Science and Technology |
GIETU |
2nd |
2024 |
| 68 |
Dr.Neelamadhab Padhy |
A Recommendation System for E-Commerce Products Using Collaborative Filtering Approaches |
Engineering Proceedings |
GIETU |
1st |
2024 |
| 69 |
Dr.Neelamadhab Padhy |
A Machine Learning-Enabled System for Crop Recommendation |
Engineering Proceedings |
GIETU |
4th |
2024 |
| 70 |
Dr.Neelamadhab Padhy |
Integrated Internet of Things and Artificial Intelligence System for Real-Time Multi-Nutrient Water Quality Analysis in Agriculture |
Engineering Proceedings |
GIETU |
3rd |
2024 |
| 71 |
Dr.Neelamadhab Padhy |
Exploring explainable AI methods for bird sound-based species recognition systems |
| Multimedia Tools and Applications |
|
GIETU |
2nd |
2024 |
| 72 |
Dr.Neelamadhab Padhy |
AutoML Trading: A Rule-Based Model to Predict the Bull and Bearish Market |
Journal of The Institution of Engineers (India): Series B |
GIETU |
2nd |
2024 |
| 73 |
Dr.Neelamadhab Padhy |
Speeded up robust features trailed GCN for seizure identification during pregnancy |
Journal of Integrated Science and Technology |
GIETU |
2nd |
2024 |
| 74 |
Mrs. A Sree Laxmi |
Strategic Retail Decision-Making: A Hybrid Apriori—FP Growth Algorithm for Efficient Association Rule Discovery |
Recent Trends in Intelligent Systems and Next Generation Wireless Communication |
GIETU |
1st |
2024 |
| 75 |
Dr. Neelamadhab Padhy |
IoT-Assisted Heterogeneous Ensemble Learning Environment for Smart Farming |
Intelligent Technologies |
GIETU |
1st |
2024 |
| 76 |
Dr. Neelamadhab Padhy |
Code Smell Detection Using Deep Learning Models to Enhance the Software Quality |
Computing, Communication and Learning |
GIETU |
2nd |
2024 |
