HAMLICH / Ventura / Bellatreche | Smart Applications and Data Analysis | Buch | 978-3-032-36133-2 | www.sack.de

Buch, Englisch, 577 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

HAMLICH / Ventura / Bellatreche

Smart Applications and Data Analysis

6th International Conference, SADASC 2026, Marrakech, Morocco, January 29–31, 2026, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-36133-2
Verlag: Springer

6th International Conference, SADASC 2026, Marrakech, Morocco, January 29–31, 2026, Proceedings

Buch, Englisch, 577 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-36133-2
Verlag: Springer


This volume constitutes the proceedings of the 6th International Conference on Smart Applications and Data Analysis, SADASC 2026, held in Marrakech, Morocco, in January 29-31 2026.


The 33 full papers and 14 short papers presented together with 4 Keynotes were carefully reviewed and selected from 105 submissions. They cover the following topics: Smart Applications & Systems 1; Green, Sustainable Computing 1; IoT & Cyber-Physical Technologies 1; Smart Applications & Systems 1; Advances in Cybersecurity and Threat Mitigation; AI & Machine Learning 2; Green, Sustainable Computing 2; IoT & Cyber-Physical Technologies 2; Smart Applications & Systems 2; AI & Machine Learning 3.

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.- AI & Machine Learning 1.
.- Multi-View Graph Fusion for Scalable Semi-supervised Text Classification.
.- Graph-based Semi-supervised Learning for Image Quality Assessment in Global Illumination Scenes.
.- Dynamic Spatiotemporal Graph Neural Networks: A Comprehensive Review of Prediction Methods and Architectural Innovations.
.- A Comprehensive Neural Network Framework for Predicting Student Dropout in Higher Education.
.- PSO-Based Integral Backstepping Control for High-Performance PMSM Drives.
.- Green, Sustainable Computing 1.
.- Energy-Efficient ACC Using Reinforcement Learning.
.- Mathematical Modeling and Optimization of a Hybrid PV-Wind-Battery-V2G-Grid System.
.- AI-Multilayer Perceptron Prediction of Temperature-Dependent Band Gap Energies of XN (X = Ga,Al,In).
.- Thermal Sensitivity of (In,Ga)N-based p-i-n Solar Cells: SCAPS-1D Simulation Approach.
.- PI-Based Control of Active and Reactive Power in Dual Stator Induction.
.- IoT & Cyber-Physical Technologies 1.
.- Real-Time Simulation and Validation of a Nine-Level Inverter Using FPGA-in-the-Loop with DE0 Board.
.- Contribution to the Modeling of the Supply Chain and Integration of Industry 4.0 Technologies in the Automotive Industry.
.- Artificial Intelligence for the Digital Transition of Industries: Development of a Predictive Maintenance System Using Deep Learning and Time Series Models.
.- Towards Smart Digital Twins: A Framework for Monitoring and Controlling Industrial Systems.
.- Human-Centric JSS with DDQN Logistic Performance Modeling, Dynamic Pairing and Hierarchical Rewards.
.- Smart Applications & Systems 1.
.- Augmented Protagonists in Human Vehicle Systems: A Data-Driven CFI+ Index for Anticipating Communication Frictions.
.- TSJ-Net: A Lightweight Deep Learning Model for Multi-Cancer Classification.
.- KANFormer: Adaptable MLP Layer for Enhanced Crypto-Currency Prediction.
.- Design of an Intelligent Trap for Pest Detection in Tomato Crops.
.- PSO-Based Integral Backstepping Control for High-Performance PMSM Drives.
.- Advances in Cybersecurity and Threat Mitigation.
.- Adversarial Temporal Jitter: A Novel Attack and Bio-Inspired Defense for Spiking Neural Networks in Cyber-Physical Systems.
.- Toward Adaptive Intrusion Detection through Concept Drift Analysis.
.- DocLedger: A Blockchain-Based Document Tattooing System for Secure Authorship and Authenticity Verification.
.- A Statistical-Entropy Framework for Real-Time Sensor Fault Detection in Embedded Robotic Systems.
.- Dual Frequency Rectangular Microstrip Patch Antenna.
.- AI & Machine Learning 2.
.- Generalized Time Series Forecasting: Bridging Statistical and Deep Learning Models.
.- Group Causal Discovery in Time Series through Subgroups and Embeddings.
.- Hybrid CNN-LSTM Framework for Human Activity Recognition.
.- Motif Discovery and Labelling via Evolutionary Algorithm in Time Series.
.- Detecting Bid-Rigging in Public Tenders Using Deep Learning.
.- Green, Sustainable Computing 2.
.- Room Temperature Blue Luminescence of (In,Ga)N/(Al,Ga)N/GaN-Based Laser Diode Grown on SiC: Current-Controlled Effects.
.- Hybrid Energy Management in Wearable Medical Devices: Piezoelectric Harvesting and AI-based Predictive Scheduling.
.- A Modeling Study of Hydrogen Fuel Cell–Based Hybrid Powertrains for Aircraft Using MATLAB/Simulink.
.- Learning Energy-Reliability Trade-Offs in Embedded Systems with CVaR-Based Reinforcement Learning.
.- IoT & Cyber-Physical Technologies 2.
.- Enhancing Wastewater Treatment Through Statistical Process Control (SPC)-Based Monitoring of Raw Wastewater Quality.
.- An Explainable Zone-Aware Cyber-Physical System for Sustainable Irrigation in Smart Permaculture.
.- Advanced 3D CFD and Experimental Investigation of Soil Internal Erosion by Hole Erosion Testing.
.- Study Case on the Influence of Cohesion and Friction Angle on the Factor of Safety: Study Case of a Slope in Moulay Yaacoub, Morocco.
.- Multivariate Gradient Descent for Optimal PID Tuning in Quadcopter Attitude Control.
.- Smart Applications & Systems 2.
.- A Hybrid Deep Learning Approach to Predictive Momentum Investing.
.- Comparative Analysis of ML and DL Models for Pump Fault Detection Using MFCC and Statistical Features.
.- Bridging Clinical Insight and Artificial Intelligence for Leukemia Diagnosis through Advances in Blood Smear Analysis.
.- AI-Based Decision Support in Irrigation Scheduling and Fertigation: Trends, Challenges, and Research Perspectives.
.- AI & Machine Learning 3.
.- HARUL: A Novel Heterogeneity-Aware Remaining Useful Life Labeling Approach.
.- Evaluating Reconstruction-Based Transformers for Multivariate Time-Series Anomaly Detection.
.- Towards Intelligent Orchestration in Fake News Detection via LLM Agents.
.- An Optimized Machine Learning Framework for Automated Information Extraction and Classification from Unstructured Resume.



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