Buch, Englisch, 304 Seiten, Format (B × H): 155 mm x 235 mm
5th International Conference, ICPRAI 2026, Montreal, QC, Canada, June 15–18, 2026, Proceedings, Part II
Buch, Englisch, 304 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9292-28-8
Verlag: Springer
This volume constitutes the refereed proceedings of the 5th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2026, held in Montreal, QC, Canada, during June 15–18, 2026.
The 72 full papers presented containing 54 short papers were carefully reviewed and selected from a total of 101 submissions. They were focused on topical section as below.
Part I: Handwriting and Text Processing; Computer Vision and Image Processing; Artificial Intelligence, Machine Learning, and Neural Networks.
Part II: Deep Learning, Security and Forensic Studies, Special Session 1: Frontiers of Artificial Intelligence for Medical Applications, Special Session 2: Architecting the Future of Intelligent Perception, Competition 1: Why a Lot More People Know AI than PR, Competition 2: The Important Role PR Plays in AI Applications, Competition 3: Do AI and PR Really Need Guardrails, Competition 4: AI & Student Homework.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Deep Learning
.- Metaheuristic-Driven Optimized Deep Learning Framework for Colorectal Cancer (CRC) Detection.
.- Urban Modeling using 3D Deep Learning with UAV-based LiDAR Mapping System.
.- Comparison Artificial Intelligence Models and Mobile-App for Skin Lesion Diagnosis.
.- Extension to Deep Learning of the Inversion Principle for Dynamic Bayesian Networks with Neural Estimates of State-specific Probability Density Functions.
.- Joint Object and Presence Detection from IR Images for Edge Devices.
.- Evaluating Multimodal Inputs for Planetary Terrain Segmentation with U-Net.
.- Deep Learning for Major Depressive Disorder Detection using EEG Signals : A Gramian Angular Field Approach.
.- A Hybrid TCN-BiLSTM Framework for Enhanced Stock Price Prediction.
.- Convolution vs. Attention: A Comparative Analysis of CNNs and Vision Transformers on Histological Tissue Classification.
.- Security and Forensic Studies
.- Concealed Handgun Detection using WiFi Signals.
.- From Words to Pages: Multi-Granularity Vision Language Model Analysis for Handwriting-Based Personality Assessment.
.- Opening the Black Box: Mechanistic Interpretability for AI Agent Tool Selection Using Sparse Autoencoders.
.- Special Session 1: Frontiers of Artificial Intelligence for Medical Applications
.- Microbiome Signatures for Alzheimer's Disease Through Multi-Cohort Machine Learning Analysis.
.- MMSE-Calibrated Few-Shot Prompting for Alzheimer’s Detection.
.- CNNs, Transformers, Hybrid, and Vision Language Models for Skin Cancer Detection.
.- Automated Medical Coding with Large Language Models: An Empirical Study of Rare-Code Prediction.
.- Identification of Novel Therapeutic Targets in Oncology Using a Hybrid AI Approach Integrating Ontologies, Multi-Agent Systems, and Neural Networks.
.- Consistent Modality Translation via Brownian Bridge Conditional Diffusion.
.- A Novel Tool-Supported Methodology to Assess Trustworthy Intelligent Medical Systems.
.- Early Prediction of Sepsis in ICU Patients Using Pre-ICU Laboratory Results: A Machine Learning Study Based on the MIMIC-IV Database.
.- Privacy-Preserving Explainable AI via Explanation Masking against Record Reconstruction Attacks for Healthcare.
.- Special Session 2: Architecting the Future of Intelligent Perception
.- AE-RL IDS: Federated Intrusion Detection System Using Adversarial Reinforcement Learning and Quantum GANs.
.- Federated Learning for DDoS Detection in SDN Networks with Explainable AI and a Quantum-Inspired Model.
.- Frugal Hybrid Classical-Quantum Siamese Network for FKP Verification.
.- Quantum-Enhanced Curriculum Learning for Oyster Genomic Phenotype Prediction.
.- Competition 1: Why a Lot More People Know AI than PR
.- Why a Lot More People Know AI than PR.
.- Competition 2: The Important Role PR Plays in AI Applications
.- The Important Role PR Plays in AI Applications.
.- Competition 3: Do AI and PR Really Need Guardrails
.- Do AI and PR Really Need Guardrails.
.- Competition 4: AI & Student Homework
.- Who Did the Homework— Me or My AI Doppelgänger?.
