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EXPLAINABLE MACHINE LEARNING FOR QUALITY RISK PREDICTION IN SMART MANUFACTURING

THIYAGARAJAN AGALYAA*, R Keerthana, M AMUTHA

Source: 2026 Indian Conference on Advances in Electrical, Computers, and Communications
LEATS-Sim-4-EC: A Lightweight Energy-Aware Task Scheduling Simulator for Edge–Cloud Computing

Narayandas Vikram*, H C Harish Kumar, Vijaykumar Sathya, Khanapurkar Unnati, Sabavath Manjula, Tiruvayipati Sujanavan, Dheeravath Krishna, Erugu Krishna

Source: International Conference on Intelligent Networks and Data-driven Intelligent Applications
PneumoVision: A Multimodal and Explainable Clinical Decision Support System

dommalapati Pooja sree*

Source: 2026 Indian Conference on Advances in Electrical, Computers, and Communications
Convergence Efficiency of Monte Carlo-Based European Option Pricing Across Large-Cap Indian Equities: An Analysis of Volatility and Simulation Requirements

Sanikommu Vasavi*, Nalam H L Sanjana, Vuppu Mounisha, Kommineni Mausumi, Ala Navya

Source: International Conference on Intelligent Networks and Data-driven Intelligent Applications
Denoising and Restoration of Images using Artificial Intelligence

Solyman Ahmed*

Source: 2025 Asian Conference on Communication and Networks
Enhancing Contextual Understanding in Sentiment Analysis Using Advanced Transformer Architectures

Mallesi V*, Poola Veeresh

Source: 2026 International Conference on Networks Computers and Communications
Data-Driven Eco-Mobility Planning: An ITS Framework for Batna’s Urban Transport System

Solyman Ahmed*

Source: 2025 Asian Conference on Communication and Networks
An Intelligent IoT Architecture for Continuous Vehicle Health Monitoring and Early Fault Detection

P.V. Manitha*, Naga Sowmya Gundu, Tejaswini Divi

Source: 2026 International Conference on Networks Computers and Communications
AI-INTEGRATED CUSTOMER RELATIONSHIP MANAGEMENT PLATFORM

N Vignesh, V Srinath, S Praneth*, N Premkumar

Source: 2026 Indian Conference on Advances in Electrical, Computers, and Communications
AMLAF: An AI-Driven Adaptive Multimodal Learning and Assessment Framework for Students with Physical Disabilities

U Dinesh*, M N YUTHISHTRA BOSE

Source: International Conference on Intelligent Networks and Data-driven Intelligent Applications

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