4th International Conference On Computational Intelligence (ICCI 2023)
November 04-05, 2023
We are pleased to invite you to attend the ICCI 2023 in Hybrid Mode (Online through Google Meet and Offline (1st Day Only) at Sardar Vallabhbhai National Institute of Technology, Surat, India . This page includes all of the information on the ICCI 2023 program schedule. Click each date below for the ICCI 2023 daily program schedule.
As a Technical Session Presenter, please find detailed instructions below to assist you with logging in and navigating for your technical paper session. These instructions must be read prior to logging in to your session/keynotes.
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Inauguration (Hybrid Mode) |
9:30 – 10:30 (Indian Standard Time) | Join |
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High Tea (For Offline Participants) |
10:30 – 11:00 (Indian Standard Time) | |
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Keynote Talks (Hybrid Mode) |
11:00 - 13:30 (Indian Standard Time) | Join |
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Keynote Talk 1 (Online via Google Meet) Speaker: Prof Rajat Moona, Director, Indian Institute of Technology, Gandhinagar |
11:00 - 12:00 (Indian Standard Time) | |
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Keynote Talk 2 (Hybrid Mode) Speaker: Prof. Radhakant Padhi, IISc Bangalore |
12:00 - 13:30 (Indian Standard Time) | |
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Lunch (For Offline Participants) |
13:30 - 14:30 (Indian Standard Time) | |
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TS 01: Artificial Intelligence and Machine Learning (Hybrid Mode) |
14:30 – 16:00 (Indian Standard Time) | Join |
41 |
MRFScene: Multi-Lingual Multi-Oriented Scene Text Detection Using Markov Random Fields |
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175 |
Predicting High-Risk Perinatal Complication Using Semi-Supervised Machine Learning |
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192 |
Binary Probing: A Novel Approach for Efficient Hash Table Operations |
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205 |
Optimized Advancements in Next-Generation Recommendation Engines for Personalized Experiences on OTT Platforms |
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281 |
Numerical simulations using SCAPS-1D software on variation of ETL, HTL and absorbing layers of contemporary organic solar cells with neoteric DOE Approach as a soft computing tool |
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TS 02: Computational intelligence (Online via Google Meet) |
14:30 – 16:00 (Indian Standard Time) | Join |
122 |
The Fuzzy Logic Model for Machining Data Selection |
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136 |
A Survey on Detection of Man-in-the-Middle Attack in IoMT Using Machine Learning Techniques |
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149 |
Design Of a Fuzzy Controller Applied to Level Control in Industrial Processes |
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271 |
A New Way of Optimal Scheduling of Virtual Energy Storages for Micro Grids Regulation |
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274 |
A New Bio-Inspired Deep Learning Approach for Bl Cancer Diagnosis |
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280 |
Literature Review on N-Gram Text Classification Models for Hotel Reviews Sentiment Analysis |
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TS 03: Emerging Techniques (Online via Google Meet) |
14:30 – 16:00 (Indian Standard Time) | Join |
14 |
Bayesian Optimization Neural Network Based Opportunistic Routing In WSN |
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166 |
Hybrid Weighted Ensemble Model for Early Diagnosis of Parkinson Disorder Using Voice Features |
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198 |
Fuzzy Torque Estimation During Knee Extension with LSTM Neural Network and Semg Signals |
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254 |
Detecting Multi-Class Hostile Traffic in The Network Using a Hybrid Model |
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270 |
Performance Improvement of Wind Energy Conversion System with Multilayer Feedforward Neural Network Controller |
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TS 04: Image Processing and Computer Vision (Online via Google Meet) |
14:30 – 16:00 (Indian Standard Time) | Join |
157 |
Advancements In CT Image Reconstruction: An Exploration of Conventional and Deep Learning-Driven Approaches |
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179 |
Machine Learning-Based Image Forgery Detection Using Combinatorial Mapping with Hybrid Distance Measure |
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193 |
A Comprehensive Survey of Machine Learning and Deep Learning Approaches for Plant Disease Detection, With Emphasis on Sugarcane |
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220 |
Harnessing EEG Signals to Detect Schizophrenia: A Deep Learning Approach |
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245 |
Enhancing CORONAVIRUS-19 Disease Diagnosis from CT scans Of Lung: Comparative Analysis Using Deep Learning Models and Edge Detection Techniques |
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TS 05: Artificial Intelligence and Machine Learning (Online via Google Meet) |
14:30 – 16:00 (Indian Standard Time) | Join |
11 |
The Impact of Artificial Intelligence Technology in Learning Zones |
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101 |
Securing The Skies: Machine Learning-Based Intrusion Detection for The Internet of Drones |
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106 |
Machine Learning Based Predictive Modeling of Piezoelectric Energy Harvester for Charging Pacemakers |
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107 |
Integrating Deep Learning Techniques for Enhanced Stock Price Prediction |
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131 |
Sentiment Analysis Using Ensemble of Deep Learning Models |
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160 |
Shapley Additive Explanations for Machine Emotion Intelligence in CNNs |
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Keynote Talks (Online via Google Meet) |
10:00 - 11:00 (Indian Standard Time) | Join |
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Keynote Talk 3 (Online via Google Meet) Speaker: Prof. Rajkumar Buyya, University of Melbourne, Australia |
10:00 - 11:00 (Indian Standard Time) | |
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TS 06: Computational intelligence (Online via Google Meet) |
11:30 – 13:00 (Indian Standard Time) | Join |
103 |
Concept of Application of Heuristic Models for SMART Management in the Medium-Sized Industrial Enterprise |
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170 |
Toward Service Offloading in Cloud Fog Ecosystem Using Hybrid Approach of Transfer and Deep Reinforcement Learning |
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211 |
AI in Mechanical Design: Generate Specific Components |
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234 |
A Parallel Non-Dominated Sorting Genetic Algorithm-II For Vehicle Routing Problem in Supply Chain |
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242 |
Which Graph Theory Algorithm Is More Effective in Optimizing a School Bus Route in Terms of Computational Complexity and Efficiency |
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273 |
An Online Learning and Problem Solving (OLPS) EEG Database for Mental Workload Assessment and Its Initial Benchmark Classification Performance |
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TS 07: Emerging Techniques (Online via Google Meet) |
11:30 – 13:00 (Indian Standard Time) | Join |
110 |
Massively Parallel GPU Implementation of The TLBO Algorithm for Solving High-Dimensional Systems of Nonlinear Equations |
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167 |
Comparing Various DC-DC Converters for Recharging EV Batteries |
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168 |
Ensuring Transparency in Takeovers: Evaluating Information Retrieval in The Indian Financial Market |
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238 |
From Stateless to Stateful: A Comparative Analysis of Stateful Serverless Computing Frameworks |
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Keynote Talks (Online via Google Meet) |
14:30 - 15:30 (Indian Standard Time) | Join |
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Keynote Talk 4 (Online via Google Meet) Speaker: Prof. Jin-Kao Hao, University of Angers, France |
14:30 - 15:30 (Indian Standard Time) | |
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TS 08: Image Processing and Computer Vision (Online via Google Meet) |
16:00 – 17:30 (Indian Standard Time) | Join |
27 |
An Indoor Navigation System Using Augmented Reality |
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173 |
A Review on Crack Detection Using Image Processing and Artificial Intelligence |
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174 |
Automated Literature Review Using Large Language Models |
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194 |
Convolutional Neural Networks-Based Evaluation of Disease Severity in Grape Plant Using Colored and Grayscale Leaf Images. |
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201 |
Simulation And Performance Evaluation of WSN Based Wild Animal Protection Architecture Using NS2 |
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259 |
High-Accuracy Plant Leaf Disease Classification Using Transfer Learning and Data Augmentation |
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TS 09: Artificial Intelligence and Machine Learning (Online via Google Meet) |
16:00 – 17:30 (Indian Standard Time) | Join |
163 |
Machine Learning-Assisted Food Quality Index Determination for Healthcare |
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180 |
An Application of Deep Learning Using Leaky Rectified Linear Unit and Hyperbolic Tangent in Non Destructive Testing |
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197 |
Transformer Based Reinforcement Learning for Forex Trading |
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261 |
Support Vector Machine Based Classification for Telemedicine Based on ECG Data |
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282 |
Optimizing Healthcare Billing Processes Through Machine Learning Using Diagnosis-Related Groups |
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286 |
A Comparative Study and Review on Load Balancing Algorithms in Hybrid Cloud-Fog Computing |
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TS 10:Artificial Intelligence and Machine Learning (Online via Google Meet) |
16:00 – 17:30 (Indian Standard Time) | Join |
98 |
Modeling the Optical Gain of Erbium-Doped Fiber Amplifiers in Strong Cross-Gain Modulation Regime Employing Artificial Neural Networks |
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181 |
An Approach of Deep Clustering Applied for Customer Segmentation to Escalate Businesses |
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183 |
Crop Yield Prediction Using Stacking Ensemble Model |
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236 |
Solution Of ECG Inverse Problem Using Artificial Neural Network |
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240 |
Multilingual Summarization for German Texts |