Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024) - Authors

Series:Advances in Computer Science Research

Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

738 authors

Prasad, P. Yogendra: Fusion-Based CNN Approach for Diabetic Retinopathy Detection from Fundus Images
Prasad, Srinivas: An analysis on Proficiency in Securing Cyber Physical Systems and current research directions
Prasad, T. V.: Automatic Method To Predict And Classify Cyber Hacking Breaches Using Deep Learning
Prasad, V. Kamakshi: Self-Improved Black Widow Algorithm for Cloud Load Balancing
Prasada, Preeti: An analysis on Proficiency in Securing Cyber Physical Systems and current research directions
Prasanna, Malavathu Lakshmi: Real-time Object Detection and Voice Labeling for Enhanced Accessibility and Visual Interaction
Prasanth, Geddavalasa: Scene Perception and Object Tracking
Pratap, K.: A Multi-Feature Approach with Data Augmentation for Speech Emotion Recognition using Deep Learning
Prathap, B. V. N. Surya: Group Face Recognition: Identifying and Tracking Multiple Individuals
Prathyusha, P.: Agro-Insight: Recommendation System Using Machine Learning
Pravallika, Bokka Durga: An Intelligent Approach to Increase the Performance of Threat Detection in IoT
Priya, A. Swetha: FinFET Technology based Low Power SRAM Cell Design for Embedded Memory
Priya, A. Swetha: FinFET based Design and Performance Evolution of Multiplexers
Priya, A. Swetha: Integration Challenges and Opportunities for Gate-All-Around FET (GAA FET) in Next-Generation Electronic Devices
Priya, Anthani Kamala: Next-Gen Cloud Data Recovery: Harnessing Parity in Partially Distributed File Systems for Seamless Data Restoration
Priya, Boya Sai: Disease Prediction Based On Medical Images Using Deep Learning
Priya, K. Devi: Blockchain-Enabled Electoral Process
Priya, K. Devi: Optimizing Ischemic Stroke Diagnosis: Enhanced Performance with MobileNetV2 in Automated Image Segmentation
Priyadarshini, G. M. Anitha: Integration Challenges and Opportunities for Gate-All-Around FET (GAA FET) in Next-Generation Electronic Devices
Priyadarshini, M. Asha: A Visionary Approach to Anemia Detection: Integrating Eye Condition Data and Machine Learning
Priyadarshini, M. Asha: A Data Mining Approach to Monitor Terrorism Dissemination Online
Priyadarshini, M. Asha: Agro-Insight: Recommendation System Using Machine Learning
Priyadarshini, M. Asha: A Multi-Feature Approach with Data Augmentation for Speech Emotion Recognition using Deep Learning
Priyanka, A.: Enhancing The Efficacy Of Several Deep Learning-Based Models For Identifying Brain Tumours From Magnetic Resonance Images
Priyanka, Kothakota: A CNN Based Approach For Detection Of Grape Leaf Diseases
Priyanka, Lalam Takurini: Automatic Vehicle Detection and Alert System
Priyanka, T.: Enhancing The Efficacy Of Several Deep Learning-Based Models For Identifying Brain Tumours From Magnetic Resonance Images
Pujith, Enamala: Analysis of Diseases in Farm Crops Using Image Processing and Machine Learning Techniques
Puruhuthika, T.: Tetrad’s Cryptography Algorithm For Enhancing Data Security Along Side Lost Data Retrieval
Pushpalatha, Kotala: Improving Predictions of Stock Price with Ensemble Learning
Pydala, Bhasha: Esophagus Cancer Detection using Images With YoloV8
Pydala, Bhasha: A Smart Stick for Visually Impaired Individuals through AIoT Integration with Power Enhancement
Pydala, Bhasha: Hybrid Deep Learning Model for Detecting DDoS Attacks in IoT Networks
Pydala, Bhasha: Detecting Ransomware Threats in Disk Storage through Behavioral Analysis using CNN2D and Flask Framework
Raghavendra, L.: On-screen Activity Tracking Using Federated Learning
Rahul, Gundluru: Fusion-Based CNN Approach for Diabetic Retinopathy Detection from Fundus Images
Raj, Deepti: Signal Dependent Local Noise Removal Using Weiner Filter Decomposition
Rajababu, M.: Adaptive Logo Recognition System
Rajasekaran, M.: Effective Reconstruction of Backprojection images through Attention Mechanism
Rajasekhar, S.: Efficient Attendance Tracking Using AI-Based Face Recognition and Absence Alerts for Educational Institutes
Rajesh, Dulla Venkata: Profile Imposter Detection On Instagram Using XGboost And SVM Algorithm
Rajesh, M. V.: A Comparative Analysis of RFM-based Customer Segmentation with K-Means and BIRCH Clustering Techniques
Rajesh, Madupuri: Advanced Rainfall Classification and Pattern Analysis using Neural Networks
Rajeswari, Ch Raja: Classification Analysis for e-mail Spam using Machine Learning and Feed Forward Neural Network Approaches
Rajitha, Myla Krishna: Determining and vigilance of the Road Accidents Hotspots using Machine Learning Algorithms
Rajkumar, G.: Hand Gesture Recognition and Volume Control
Raju, D. Venkata Naga: Classification Analysis for e-mail Spam using Machine Learning and Feed Forward Neural Network Approaches
Raju, G. Jaya Vardhan: Comparative Analysis of Machine Learning Models for Emotion Classification in Speech Data
Raju, S. Linga: Molecule Generation of Drugs Using VAE
Rakesh, B.: Drive Sense: An Integrated System for Driver Safety
Rakesh, Putakala Naga Venkata: Navigating Data Streams Using Advanced Data Analysis And Visualization Techniques
Ram, Jami Sai: Intelligent Parkinson’s Disease Detection: Optimization Algorithm Implementation for SVM and MLP Classifiers on Voice Bio-Markers
Ram Tej, P. Pushkal: Tetrad’s Cryptography Algorithm For Enhancing Data Security Along Side Lost Data Retrieval
Ramabrahmam, I.: A New Approach to Facial Skin Analyzer
Ramana, Bala: Fusion-Based CNN Approach for Diabetic Retinopathy Detection from Fundus Images
Ramani, Kasarapu: Disease Prediction Based On Medical Images Using Deep Learning
Ramani, Kasarapu: Automatic Grading of Answer Sheets using Machine Learning Techniques
Ramani, Kasarapu: Advanced Rainfall Classification and Pattern Analysis using Neural Networks
Ramavath, Vidyasree: A Smart Stick for Visually Impaired Individuals through AIoT Integration with Power Enhancement
Ramesh, D. Raja: FinFET Technology based Low Power SRAM Cell Design for Embedded Memory
Ramesh, D. Raja: FinFET based Design and Performance Evolution of Multiplexers
Ramesh, K.: Automatic Method To Predict And Classify Cyber Hacking Breaches Using Deep Learning
Ramesh, Knvpsb: Machine Learning-Based Autonomous Physical Security Defences
Ramesh, P.: ECG-Based Driver's Pressure Location Utilizing Profound Exchange Learning And Fluffy Rationale Approaches
Ramu, M.: Short-Term Energy Forecasting Using an Ensemble Deep Learning Approach
Ramu, M.: Smart Farming Analytics: Exploring Classifier Diversity and Clustering In Land Suitability Forecasting
Ramu, M.: Fusion-Based CNN Approach for Diabetic Retinopathy Detection from Fundus Images
Rani, K. Madhuri Pravallikha: Molecule Generation of Drugs Using VAE
Rani, P. Padmini: Drive Sense: An Integrated System for Driver Safety
Rani, P. Padmini: On-screen Activity Tracking Using Federated Learning
Rani, P. Padmini: Automatic epileptic seizure detection using SVM techniques with EEG signals
Rao, B. Ankamma: Drive Sense: An Integrated System for Driver Safety
Rao, G. Venkateswara: Adversaries on ML Models: The Dark side of Learning
Rao, K. Venkata: Analysis of Oral Cancer Detection based Segmentation and Classification using Deep Learning Algorithms
Rao, K. Venkateswar: On-screen Activity Tracking Using Federated Learning
Rao, K. Venkateswara: RESQNET- Uniting Relief, Empowering Resilience
Rao, Mundlamuri Venkata: Comparative Research Based on Internet Worms
Rao, P. Ramakoteswara: Prediction of Physico-Chemical Characteristics of Groundwater Using Machine Learning Model
Rao, P. Srinivasa: Enhancing Real-Time User IP Tracking and Country Identification with APIs
Rao, Pasupuleti Nageswara: Studies on Natural Rubber Latex Modified Fiber Reinforced High Performance Concrete
Rao, Peese Tejeswara: Detecting Ransomware Threats in Disk Storage through Behavioral Analysis using CNN2D and Flask Framework
Rao, Samatham Chandra Sekhara: Analysis and Prediction of Health Insurance Cost Using Machine Learning Approaches
Ravuri, Srinath: Classification Analysis for e-mail Spam using Machine Learning and Feed Forward Neural Network Approaches
Reddy, A. Pradeepthi: Fusion-Based CNN Approach for Diabetic Retinopathy Detection from Fundus Images
Reddy, A. Sukhdev: Task Scheduling Algorithms for Cloud Computing Resource Allocation: A Systematic Analysis Environment
Reddy, B. Isak: Unlocking Smoother Journeys with Intelligent Traffic Signals
Reddy, Bommepalli Narayana: Lightweight authenticated key agreement scheme for Cloud-assisted Internet of Things
Reddy, Ch Govardhan: Analysis of Diseases in Farm Crops Using Image Processing and Machine Learning Techniques
Reddy, Chevireddy Hemasree: Wheat Disease Detection Using Transfer Learning Techniques
Reddy, D. V.: Traffic Classification Using Machine Learning Models in Electromagnetic Nano-Networks
Reddy, Guntaka Rama Krishna: Real-time Object Detection and Voice Labeling for Enhanced Accessibility and Visual Interaction
Reddy, K. Dinesh: Streamlined Event Registration and Management With Live Streaming Integration
Reddy, K. Sandya: Sky Sage: Revolutionizing Airfare Prediction with Advanced Machine Learning Integration
Reddy, K. Siva Jayanth: Enhanced Knee Osteoarthritis Grading: Transfer Learning with Pre-Trained CNN’s For Swift Diagnosis
Reddy, Karnati Shashi Vardhan: Disease Prediction Based On Medical Images Using Deep Learning
Reddy, Kodadala Charishma: Analysis of Diseases in Farm Crops Using Image Processing and Machine Learning Techniques
Reddy, M. Chandra Raghava: Sky Sage: Revolutionizing Airfare Prediction with Advanced Machine Learning Integration
Reddy, M. Vikas: Automatic Method To Predict And Classify Cyber Hacking Breaches Using Deep Learning
Reddy, Maru Karthik: A Smart Stick for Visually Impaired Individuals through AIoT Integration with Power Enhancement
Reddy, N. V. Nagendra: A Multi-Feature Approach with Data Augmentation for Speech Emotion Recognition using Deep Learning