Artificial Intelligence Applications and Innovations -

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Résumé :
.- 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....

Biographie:
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  ...

Sommaire:
.- 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....