Artificial Intelligence Applications and Innovations, Gebunden

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.- A Multi-Agent System Approach for Dynamic and Adaptive Daily Profile Detection in Building Data.

.- Agile MLOps: Bridging the Gap Between Agility and Machine Learning Operations.

.- Artificial Intelligence in Finnish and Swedish Workflows: A Comparative Survey of Micro- and Large-Scale Enterprises.

.- Clustering by Limit-Cycles in Hopfield Neural Network.

.- Enhancing Ransomware Detection Using Storage Access Pattern.

.- Fault Detection in Inverter-Driven Permanent Magnet Synchronous Motor Systems using Semi-Supervised Learning.

.- Fingerprint Minutiae-Based Cryptographic Key Generation: Towards Secure and Usable Authentication.

.- Handling Anonymized Non-Numerical Features in Data using Transformations for Regression Models.

.- Higher-Order Multi-Adaptive Neural Network Modeling of the Role of Epigenetics in Epilepsy.

.- Historical Map Understanding Using End-to-end Methods.

.- ICU Mechanical Ventilation Data Imputation.

.- Immigration Detection in Multilanguage Tweets Using Machine Learning Algorithms.

.- Integrating Artificial Intelligence and Digital Tools to Enhance Learning and Accessibility in Music Education.

.- Interest-Based Pattern Mining For Deforestation Analysis in the Kroumiria Region, Tunisia.

.- Large-to-Small: Energy Consumption Reduction of Training the Fully Connected Layers.

.- Malware Detection through API Call Frequency: Assessing Early-Stage versus Full-Time Classification Potential.

.- Metaheuristics-based Long Short-Term Memory Optimization for Emotion Classification.

.- Multi-order Adaptive Dynamical System Modeling of the Role of Epigenetics in the Development of Hypomania.

.- Off-Policy Inspired Imitation Learning for Generation of Adversarial Malware.

.- PixelPath: Predicting UAV Trajectories in GPS-Restricted Environments Using Image Feature Extraction and Machine Learning.

.- Predicting Vessel Arrival Time Using Machine Learning for Enhanced Port Efficiency and Optimal Berth Allocation.

.- Semi-Supervised Learning for Early Certification Prediction in MOOCs.

.- So-Connect: recommending layer-wise connections in social networks using SNN-DBSCAN.

.- Time Series analysis using Memory Enhanced Liquid Neural Network.

.- A Web-Based Information System For Medical Forensics Incorporating Generative AI in Reports Compilation.

.- Explainable AI-Driven Feature Selection for Improved Intrusion Detection Systems in the Internet of Medical Things.

.- Explainable Surface-Level Malware Analysis through Scalable and Accurate Feature Selection.

.- Integrating AI and RDF Knowledge Graphs with MITRE ATT\&CK for CTI Insights.

.- Markov-Enhanced Clustering for Long Document Summarization: Tackling the 'Lost in the Middle' Challenge with Large Language Models.

.- Merged LIME and SHAP eXplanation (MLSX): BERT case in NER Task.

.- OPJUSTICE - A Multi-label Text Classification Model.

.- SHAKTI: A 2.5 BILLION PARAMETER SMALL LANGUAGE MODEL OPTIMIZED FOR EDGE AI AND LOW-RESOURCE ENVIRONMENTS.

.- Unified Mental Health Disorder Detection on Social Media.