Applied Algorithms

.- Invited Talks.

.- Algorithmic Art: A Lost Glory and its Digital Renaissance.

.- Perfectly Imperfect Autonomy and Machine Learning.

.- Anytime Algorithms for Approximate Functional Dependencies.

.- Beyond Connectivity: Designing Fair, Expressive, and Trustworthy Graph Neural Networks through Statistical Foundations of Message Passing.

.- Optimality.

.- Nonlinearity of Boolean Functions: Combinatorial Results with Cryptographic
 Significance.

.- Gabow’s O(vnm) Maximum Cardinality Matching Algorithm, Revisited.

.- Discrete Algorithms and Applications.

.- The Curious Case of Complexities: Discovering Causal Influences on Software
 Defects.

.- An Efficient Algorithm for Path Matrix Computation and Improved Path En
ergy Bounds.

.- Small uniquely satisfiable patterns.

.- Approximate all-pairs Hamming distances and 0-1 matrix multiplication.

.- Convexity-Driven Projection for Point Cloud Dimensionality Reduction.

.- Bounded Model Checking for Calibration of Systems Biology Models Under Un
certainty.

.- Top-K Exterior Power Persistent Homology: Algorithm, Structure, and Stability.

.- Algorithm for Interpretable Graph Features via Motivic Persistent Cohomology.

.- Deterministic Integer Sorting on the Parallel External Memory Model.

.- Bayesian Optimization for Two Echelon Vehicle Routing Problem using Drone
 for Last Mile Delivery.

.- AI and Machine Learning.

.- Attribute Discovery for a Product.

.- Leveraging YOLO and SAHIfor Accurate Small Tank Detection in UAV Systems.

.- Deep Neural Networks in Cow Face Recognition.

.- Scheduling Control Tasks using Safety-Guided RL.

.- Freshness Monitoring and Shelf-life Estimation of Bread.

.- Robotic Path Planning using PPO based Reinforcement Learning Approach.

.- Stocks in Sync: Cluster-Aware Deep Learning for Multi-Stock Forecasting in Fi
nancial Market.

.- Composite Quality Function Modelling of Instruction–Response Dynamics in
 Sustainable Fashion.

.- Neuro-Symbolic AI-Driven Mental Health Risk Prediction with Human-Readable
 Rule Extraction and Interactive Explainabilit.

.- Deep Learning-based Intrusion Detection in IoT: A Cross-Model Performance
 Analysis.

.- Emotion-Aware Movie Recommendation Using a Transformer-Based Deep Learn
ing Approach.

.- Comparative Evaluation of Adaptive Wavelet Transform and classical approaches
 for EEG Pre-Processing in Stress Recognition.

.- An Adaptive System for Detecting Anomalies in Smart Electric Grids Using
 Gaussian Mixture Models.

.- An Intelligent Multi-Agent System for Urban Traffic Signal Control Leveraging
 Reinforcement Learning and Graph Neural Networks.

.- Efficient Voice-based Product Ordering via Lightweight Language Models with
 Low-Rank Adaptation.

.- Multi-Head Multi-Latent Attention: An Efficient Approach to Realize a Low
Resource Transformer Architecture.

.- Leveraging Small-object Detection in Satellite Imagery using Dual Attention
augmented single-stage CNN model.

.- ALERTIFY: An AI-Driven Multimodal Social Media Framework for Real-Time
 Disaster Monitoring and Response.

.- Perception Learning: A Formal Separation of Sensory Representation Learning
 from Decision Learning.

.- Analysing Trends in Community Evolution in Open-Source Software Collabora
tion Networks.

.- A Transfer Learning Framework on Image-Transformed Sensor Data for Smart
phone based Human Activity Recognition.

.- Ensembling Handcrafted Features for Accurate Multi-Class Brain Hemorrhage
 Classification.

.- MACO-Sync: Multi-Agent Ant Colony Optimization for Synchronized Arrival
 Coordination.