Vol. 6 No. 3s (2026): IJAIML_VOL.6_NO.3s 2026

Articles

• A Hybrid Deep Learning Framework For Multimodal Rice Growth Stage Classification Using Image And Iot Sensor Fusion

  Riki Ruli A. Siregar, Kudang Boro Seminar, Sri Wahjuni, Edi Santosa

  1-21

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• Autonomous Tool Selection Algorithms for Large Language Model Driven Agents

  Pushpa Nagini Sripada, Dr. P.Y. Muhammed Anshad, E. Shalini, Dr.K. Rajamani, Dr. Nidhi Mishra

  22-29

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• Hyperparameter Landscape Smoothing Algorithms For Stable Training Of Gans

  C.S. Kavitha, Dr.R. Udayakumar, Kannan N , Kattabek Abdiyev, Maksetbay Mambetniyazov, Begali Abduvaliyev

  30-37

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• Optimizing Business Process Automation Using A Hybrid Xgboost-Lstm Model

  Parameswari Krishnan, Dr.S. Veni, Dr.V.S. Thangarasu

  38-47

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• Meta Cognitive Monitoring Algorithms For Error Correction I Agentic Reasoning Chains

  B. Damodaran, C.K. Rajashri, Dr.C. Rajan, Dr. Arasuraja Ganesan, Dr.U. Nilabar Nisha, Dr.M. Rameshkumar, Aakansha Soy

  48-55

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• Adaptive Momentum Estimation Algorithms For Non Stationary Data Stream Clustering

  Dr.M. Murugresan, Dr. Megala Rajendran, Dr Sanila S, Vohidjon Obidov, Hamida Abdumajidova, Umida Jumamurodova

  56-64

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• Architectural Foundations And Emerging Paradigms In Enterprise Master Data Management: From Integration Frameworks To Ai-Driven Data Governance

  Chandra Sekhara Reddy Adapa

  65-74

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• Intent Aware Policy Optimization Algorithms For Human Agent Cooperative Tasks

  Dr. Ponmurugan Panneerselvam, Dr. V.P. Nithya, Dr.V. Aruna, B. Damodaran, Roohee Khan

  75-83

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• Topology Aware Graph Sampling Algorithms for Scalable Social Network Analysis

  Dr.J. Praveenchandar, Dr. G Chandra Sekhar, Dr. Jayanthi Kamalasekaran, Nazarbay Kilichov, Gavkhar Tursunova, Inomjon Amirqulov

  84-92

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• Improving Customer Segmentation In E-Commerce Using Self-Organizing Maps (Som)

  Dr.S. Loganatha Prasanna, Dr.S. Ramanathan, Dr.S. Bindu Basini, Dr. Poomagal Adhinarayanan, Dr.G. Meena Suguanthi, Dr.R. Sankar Ganesh6

  93-103

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• Cross-Domain Knowledge Transfer Algorithms For Rapid Agent Adaptation In New Environments

  Dr. Shanthi Vairavan , K. Priyadharshini, M. Selin, Dr.P. Balamurugan

  104-110

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• Self-Supervised Contrastive Regularization Algorithms For Robust Few Shot Classification

  Dr. S. Subbaiah, S. Bharathi, Dr. Muhammed Anshad P. Y, Farrux Yoqubov, Gulnoza Qodirova , Dilafruz Amerova

  111-117

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• Forecasting Product Demand Using The N-Beats Model In Retail Management

  E. Shalini, Dr. Melvin Victor, Dr.A. Shanthi, Andrea Varghese, Dr.D. Prasanna, Dr. Naga Padma

  118-126

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• Hybrid Quantum-Classical Variational Algorithms for High-Dimensional Feature Selection

  Dhanalakshmi V, Dr. Sreedevi K, Neethu Akkarapatty, Dr.P. Balamurugan, Dr.Sapna Bawankar

  127-133

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• Multi Task Pareto Optimization Algorithms for Balanced Performance Across Diverse Objectives

  Dr.R. Udayakumar, Dr. Megala Rajendran, Dr.K. Sankara Moorthy, Bakhtiyor Turaev, Firuza Sadikova, Javoxir Beknazarov

  134-141

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• Financial Fraud Detection Using Isolation Forest And DBSCAN Clustering Techniques

  K. Anitha, R. Vinoth, Vinay Kumar Deolia, Dr.R. Siva Thivya, Dr.S.G. Balakrishnan, Dr. Sasi Bhushan

  142-150

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• Quantum-Inspired Tensor Network Algorithms for Efficient Large-Scale Data Compression

  K. Venkatesh Guru, Sagayaraj P, Dr. S. N. V. J. Devi Kosuru, Dhanalakshmi V, Dr.Kamlesh Kumar Yadav

  151-158

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• Natural Language Processing Models For Sentiment Analysis And Opinion Mining Using Contextual Embeddings

  Pooja Pathak, Y Jayababu, Gayathri M, P Vijaya Raghavulu, Dr. Sowjanya Bagadi, Vijay Itnal, Bhawna Kaushik

  159-167

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• Supply Chain Optimization With Hybrid Particle Swarm Optimization And Xgboost

  Hadasha Nobel tune, Dr. Aravindh, Puneet Sharma, Dr. A. Vanathi, Dr.S. Raju, Dr. PSV Padma Latha

  168-176

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• IoT-Enabled Real-Time Environmental Monitoring and Disaster Prediction System

  Suwarna Gothane, Vinayak Biradar, Vina M Lomte, Pramod D. Ganjewar, Minakshi N. Vharkate, R M Balajee

  177-187

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• Robust Quantum Gradient Descent Algorithms For Noisy Intermediate Scale Quantum Devices

  Dr. M. Kasiselvanathan , Dr. Priya Sethuraman, K. Roshni Rajan , S. Bhavadharani, Dr.R. Arivukkodi

  188-193

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• Cognitive Computing Models For Personalized Recommendation Systems Using Behavioral And Contextual Data

  Rajesh Kumar Tripathi, Manjula Devarakonda Venkata, Dr. Shanthi Vairavan, Yugandhar Manchala, Dr. Ravi Thangjam, Tushar Jadhav, Ravina Gupta

  194-206

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• Customer Churn Prediction In Subscription-Based Businesses Using Adaboost And Random Forest

  Dr.D. David Winster Praveenraj, R. Anitha, Mridul Dixit, S. Eswar , Kota Venkateswarlu, Mr.R. Venkadesh

  207-215

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• Entanglement-Based Contrastive Learning Algorithms for Molecular Property Prediction

  Dr. Arasuraja Ganesan, Sridevi Sangeetha K S, Dr. Indu Purushothaman

  216-224

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• Cyber-Physical System Security Using AI-Based Intrusion Detection And Predictive Threat Intelligence Models

  Rahul Pradhan, Balla Satyanarayana, Ambika P, Talla Prashanthi, Dr. M. V. Rajesh, Shailesh Kulkarni, Tanya Singh

  225-236

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• Dynamic Pricing Strategy In Retail Using Deep Q-Learning And Genetic Algorithms

  Manjula R, Ms.V. Hemamalini, Dheeraj Kalra, Dr. Maganti Venkatesh, Y Lavanya, Ms.R. Kiruthika

  237-246

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• Quantum Kernel Mapping Algorithms for Non-Linear Classification in Genomics

  Dr. Praveen Kumar , Dr. Indu Purushothaman, Dr. Suresh Arumugam

  247-254

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• Identification And Risk Level Prediction Of Diabetic Retinopathy Using Transfer Learning With Novel Vision Transformer And Grad-Cam Explainable Ai

  Anita B. Dombale, Dr. Premanand P. Ghadekar

  255-268

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• Employee Performance Prediction in Human Resource Management Using Gradient Boosting Machines (GBM)

  Sheeja V S, Dr.N. Kalyana Sundaram, Aneesya Panicker , Dr. Tirukoti Sudha Rani, Nagendra Kumar Yakkala, Mrs.S. Latha

  269-278

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• AI-Driven Large-Scale Intelligence Microservices For Predictive Guest Experience Optimization In Smart Hotels

  Dr. Ketan Chande, Dr. Rahul Kanekar, Priya Padave, Dr. Maxim Aleckal John, Chef Harish Raghu Suvarna

  279-287

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• Enhancing Business Intelligence With Real-Time Data Streams Using Long Short-Term Memory (LSTM) Networks

  Ambika P, M Iswarya

  288-299

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• Large-Scale Intelligence Microservices For Robust Anomaly Detection In Real-Time Streaming Data Systems Using Deep Learning

  Somla, Dr. Srinivas Malladi

  300-309

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• Optimizing Marketing Campaigns Using A Hybrid Model Of XGBOOST And Hyperparameter Tuning

  Dr.D. David Winster Praveenraj, Kavitha Rajamohan, Divya Singh, B. Roshini, Chelamalasetty Venkatesh, D. Sindhuja

  310-321

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• Integration Learning Vector Quantization-Perceptron in the Mechanism Battery Charging Decision Model in AC-DC Hybrid Electrical Installations at Plant Factory

  Iriansyah BM Sangadji, Kudang Boro Seminar, Sri Wahjuni, Heru Sukoco, Iwa Garniwa MK

  322-336

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• Artificial Intelligence in Educational Process Management: A Systematic Review of Approaches, Models, and Emerging Challenges in the Global Education System

  Castro Huallpa Yovana, Chauca Castro William Agnes, Martinez Casanova Inmaculada soledad Pamela

  337-348

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• AI-Driven Business Intelligence: A Case Study on Predicting Market Trends Using LSTM

  Dr Melvin Victor, K.S. Vigneswaran, Om Prakesh, Dr.K. Kumuthadevi, Begum Shameena, S. Rajeshwari

  349-358

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• Energy-Efficient Consensus Algorithms for Sustainable Blockchain Networks

  Ayush Kumar Mishra, Ankush Kumar

  359-368

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• Predictive Maintenance In Manufacturing: Leveraging Autoencoders And K-Means Clustering

  K. Samundeeswari, Thangjam Ravichandra, N.S. Senthur, Alka Agrawal, Dr.M. Ramesh, Ch. Sumathi Devi

  369-376

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• Design, Modeling, and Stability Evaluation of a Grid-Interactive Solar PV-Based Electric Vehicle Charging Station with Conditional Utility Support and Hierarchical Energy Management

  Nayankumar Bharatbhai Patel, Dr. Piyush Patel

  377-389

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• Customer Satisfaction Prediction Using Sentiment Analysis With Bert And Gans

  Dr.M. Sowmiya, Dr.R.S. Tharini, Dr.M. Harish, Dr. Ramanathan Mohan, Dr.G. Meena Suguanthi, Dr.R. Sankar Ganesh

  390-398

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• IJPSO: An Improved Hybrid PSO Algorithm For Multi-Type And Large Scale Data Scheduling In Cloud Computing

  Jai Bhagwan, Seema Rani, Manoj, Sunila Godara, Yashasvi, Sanjeev Kumar

  399-412

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• Adaptive Quantum Circuit Architecture Search Algorithms for Specialized ML Tasks

  Dr.V. Aruna , Dr. Ponmurugan Panneerselvam , P. Pushpalatha

  413-417

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• Large Language Model Integration in Enterprise Financial Platforms: Challenges, Patterns, and Emerging Opportunities for Intelligent Customer Engagement

  Dinesh Reddy Kasu

  418-426

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• Enhancing Risk Mitigation In Business Investments Using Deep Reinforcement Learning

  Rakesh Kumar, Dr.K. Sreedevi, V. Hemamalini, Dr.S. Rama Sree, Dr.Y. Shantharam, CH.V. Aruna

  427-441

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• Adaptive Multi-Resolution Decomposition And Dual-Conditioned Generative Adversarial Networks For Patient-Independent Eeg Seizure Detection

  Mr. Kondanna Kanamaneni, Dr. Venkata Raju K

  442-450

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• Thermal Noise Mitigation Algorithms for Quantum Enhanced Neural Network Training

  P. Sagayaraj, Dr.G.H. Kerinab Beenu, M. Vinitha, Dr. Lalit Sachdeva

  451-455

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• Intelligent Automation of Ontology Validation Using SPARQL and AI-Driven Rule Engines

  Itendra Kumar Singh

  456-464

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• Leveraging Neural Autoregressive Distribution Estimators (NADE) for Retail Demand Forecasting

  Dr.T. Saravanan, P. Sagayaraj, Anshy Singh, Dr.A. Vanathi, Dr.D. Subramaniam, K. Sri Ramulu

  465-479

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• Degradation-Aware Detection Of Schema-Breaking Changes In Evolving Machine Learning Systems: A Mutation-Driven Evaluation Framework

  Preeti Patil, Priyanka Gupta, Vina M Lomte, Amar More, Pankaj B. Devre, R M Balajee

  480-494

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• Multi Objective Quantum Evolutionary Algorithms for Global Supply Chain Optimization

  P. Pushpalatha, Dr.K. Rajamani, J. Monisha, Dr. Utkarsh Anand

  495-498

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• Intelligent Parametric Design Library Framework for Steel Tubular Pole Transmission Infrastructure: A PLS-POLE-Based Knowledge Engineering Approach

  Sachin Pal Singh

  499-508

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• Predicting Employee Attrition Using LSTM Networks And K-Means Clustering

  Dr.G. Sanjiv Rao, R. Harshini, D. Jansirani, Avnish Sharma, Prasad Babu Bairysetti, Dr.M. Babu

  509-523

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• A Predictive Analytics Approach For Financial Risk Management Using The Catboost Algorithm

  R. Sathya arthi, Oshma Rosette Pinto, Narendra Mohan, Dr.G. Kanimozhi, Ganta Chamundeswari, K. Rajeswari

  524-532

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• Supervised Quantum Support Vector Algorithms for High Frequency Financial Forecasting

  Dr.E. Mohanraj, K. Anitha, Dr.S. Karunakaran, S. Suganya, Dr. Shinki Katyayani Pandey

  533-537

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• Platforms: B2B and B2C Case Evidence of Business Impact

  Muthu Saravanan Ramachandran

  538-546

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• Supply Chain Disruption Prediction Using Deep Boltzmann Machines (Dbm)

  Dr. Tirukoti Sudha Rani, R. Anuradha, Dr.M. Jasmin, P. Bachan, M L S N S Lakshmi, M. Lavanyaprabha

  547-561

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• Autonomous Production Operations: AI-Driven Incident Management and Self-Healing Data Platforms for Banking Systems

  Mosaic Basha Syed

  562-573

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• AI-Based Personalization Of Customer Experience Using Transformer Networks

  Krishna Kant Dixit, Dr.A. Jayanthi, Anusha ATMK, Dr.C. Naveena Jasmine, M. Suma, M. Arul sankar

  574-588

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• Transforming Embedded Systems Calibration Through Intelligent Automation Frameworks

  Sumaiyya Fatima

  589-601

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• Quantum Logic Gates for Accelerating Graph Convolutional Network Operations

  Dr.M. Kasiselvanathan, Dr.M. Kalaivani, Dr.P. Ambika, K. Keerthika

  602-606

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• Machine Learning Error Correction for Satellite-Based Virtual Tolling

  Venkateswarlu Mullangi, Rajasekhara Reddy Syamagari

  607-616

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• Optimizing Financial Portfolio Management Using Deep Reinforcement Learning And A3C

  R. Gokilavani, Dr. R. Arivukkodi, M. Devi, Diwakar Bhardwaj, Ramakrishna Manda, Dr.G. Mohana Priya

  617-632

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• Unified Claims Orchestration Platform For Multi-Line Insurance Carriers: Bridging Legacy Silos Through Intelligent Orchestration

  Gautham Paspala

  633-646

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• From Alerts to Explanations: LLMs as an Interpretation Layer for Production Machine Learning Systems

  Rohit Alekar

  647-655

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• Adaptive Neural Architectures for Real-Time Intelligent Decision Systems

  Trupti V. N, P. Shobha Rani, Pushpalatha P, Manoranjan Parhi, T. Gomathi, Anitha K, M. Stanlywit

  656-665

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• Context-Aware Representation Learning in High-Dimensional Dynamic Systems

  Ezhilarasan Ganesan, Pushpa Nagini Sripada, T. Shanthi, Arvind Kumar Pandey, Mukesh Patidar, Pushpalatha P, M. N. Vimal Kumar

  666-677

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• Energy-Efficient Machine Learning Algorithms for Sustainable AI Systems

  Firash Zhed Ututalum, Shajahan B, V. Vijaya Baskar, Kumod Kumar Gupta, Hemal Thakker, Shanthi R, Vinitha M

  678-685

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• Cyber-Physical System-Based Adaptive Control For Liquid Filling-Capping Processes In Industrial Environments

  Harshita Kaushik, Pooja Sapra, Vedant Chaudhary, S. P. Venkatesan, Jeevajothi R, Athira K, Tursunov Behzod

  686-694

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• Human–AI Interaction In Machine Learning-Based Intelligent Interfaces: A Design And Evaluation Study

  Pudugosula Harika, Manish Kumar Goyal, Vidushi Goel, Priya Dahiya, Saraswati B, Bhavadharani S, Yakubova Sarvinoz

  695-703

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• Cloud Computing Systems: Performance Trade-Offs In Scalable Architectures

  Aarsi Kumari, Tamilselvan Thangavel, Ebin Horrison S, Sathya Arthi R, S. Balaji, Samundeeswari K, Yusupova Dildora Uktamovna

  704-712

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• Adaptive Machine Learning–Driven Selective Encryption For Secure And Efficient Data Protection

  Pranay Meshram, Prakash Prasad

  713-735

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• Adaptive PSO Algorithm for Resource Allocation to Large Scale Data in Heterogeneous Cloud Computing Environment

  Abhishek Bishnoi, Jai Bhagwan

  736-747

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• Privacy-Preserving High-Dimensional Distributed Learning Via Client-Side Deep Denoising Sparse Autoencoders, Adaptive Attribute Filtering, And Federated Split Learning With Gradient Compression

  Lingam Suman, S. Venkata Lakshmi

  748-756

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• Alzheimer’s Disease Detection and Severity Classification using Deep Learning Models

  Ankita Shah, Paresh Solanki

  757-766

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• A Structural Analysis Of Ei And Its Influence On Employee Performance In Technology-Driven Organizations

  J. Sabitha, Srinivas N

  767-775

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• Integrating Machine Learning Into Activity-Based Learning: A Critical Review Of Emerging Frameworks In Engineering Education

  K. Murali, K. Sambath, G. Ramesh Kumar, B. Vigneshkumar, K.V.Boobala Krishnan

  776-788

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