Rough Set Models -- Selected approaches to conflict analysis inspired by the Pawlak model - case study -- Multi-heuristic Induction of Decision Rules -- Algebraic formulations and geometric interpretations of decision-theoretic rough sets -- Reduction of binary attributes: rough set theory versus formal concept analysis -- An Acceleration Method for Attribute Reduction Based on Attribute Synthesis -- Attribute Reduction Based on the Multi-annulus Model -- Foundations -- Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes -- Paraconsistent Logics: A Survey Focussing on the Rough Set Approach -- Hexagons of Opposition in Linguistic Three-Way Decisions -- Algebraic Models for Qualified Aggregation in General Rough Sets, and Reasoning Bias Discovery -- Two-sorted Modal Logic for Formal and Rough Concepts -- Kryszkiewicz's Relation for Indiscernibility of Objects in Data Tables Containing Missing Values -- Algebraic, Topological, and Mereological Foundations of Existential Granules -- Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators -- Pawlak, Belnap and the magical number seven -- Three-way Decisions -- Three-way conflict analysis for three-valued situation tables with rankings and reference tuples -- Three-way social network analysis: Triadic measures at three levels -- Cognitive and Social Decision Making: Three-way Decision Perspectives -- New models of three-way conflict analysis for incomplete situation tables -- Granular-ball Three-way Decision- Granular Models -- Unsupervised KeyPhrase Extraction Based on Multi-granular Semantics Feature Fusion -- Multi-Granularity Feature Fusion for Transformer-based Single Object Tracking -- A Multi-Granularity Network for Time Series Forecasting on Multivariate Time Series Data -- Adaptive Multi-Granularity Aggregation Transformer for Image Captioning -- A Causal Disentangled Multi-Granularity Graph Classification Method -- Distances and Similarities -- Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction -- Decision rule clustering - Comparison of the algorithms -- Classifying token frequencies using angular Minkowski $p$-distance -- On kNN class weights for optimising G-mean and F1-score -- Searching of potentially anomalous signals in cosmic-ray particle tracks images using rough k-means clustering combined with eigendecomposition-derived embedding -- Hybrid Approaches -- Crisp-Fuzzy Concept Lattice Based on Interval-Valued Fuzzy Sets -- Normal fuzzy three-way decision based on prospect theory -- On Several New Dempster-Shafer-inspired Uncertainty Measures Applicable for Active Learning -- Rough Fuzzy Concept Analysis via Multilattice -- Applications -- Clustering methods for adaptive e-commerce user interfaces -- Application of federated learning to prediction of patient mortality in vasculitis disease -- A Novel Hybrid Wind Speed Interval Prediction Model using Rough Stacked Autoencoder and LSTM -- Navigational Strategies for Mobile Robots Using Rough Mereological Potential Fields and Weighted Distance to Goal -- Handling intra-class dissimilarity and inter-class similarity for imbalanced skin lesion image classification -- Link Prediction for Attribute and Structure Learning Based on Attention Mechanism -- Cybersecurity and IoT -- A New Data Model for Behavioral Based Anomaly Detection in IoT Device Monitoring -- Preventing Text Data Poisoning Attacks in Federated Machine Learning by an Encrypted Verification Key -- Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm.