Enhancing ML Models for Solar Weather Forecasting using Clustering and Adversarial Anomaly Detection

LiDAR-based Weather and Range Estimation in Autonomous Driving

Forecasting stock trends through Machine Learning

Designing and Building A Microservices-Based Time Series Forecasting System

Detecting garment and its landmarks

Digital Model of Reconfigurable Printed IoT Nodes using ns-3
Publicado em: (2027)

A Comparison on Statistical Methods and Long Short Term Memory Network Forecasting the Demand of Fresh Fish Products

Trustable Intelligent Decision Support for Enhancing Industrial Digital Twins

Out of Distribution Detection in Camera Perception for Autonomous Driving

Enhancing the City Catalyst Platform to Support Agility and Co-Creation in Open Innovation for Cities

Towards Automated Server-side Video Game Cheat Detection

Detection And Location of Non-Technical Losses in Low Voltage Distribution Networks

A Graph-based Approach for Detecting Misconfigurations in Smart Home Automation Rules

Tracking High-Value Packages with IoT Devices and Hyperledger Fabric Network: Enhancing Trust and Transparency in Shipping Logistics

Admission Control based on End-to-end Delay Estimation to Enhance the Support of Real-Time Traffic in Wireless Sensor Networks

A Simulation Model for Urban Logistics

Model Based Testing - From requirements to tests

Automatic Complaint Classification Models: Generation, Integration, and Usability

Static transmission expansion planning using Heuristic and metaheuristic techniques

Using Causal Inference to Measure Residential Consumers Demand Response Elasticity

Sophisticated Agent Modeling: Language Design and Implementation for Large-Scale Simulation

Carotid Lumen Segmentation using a Neural Network Approach

Decentralized Application for E-Commerce Using Blockchain and Trusted Compute

Relative location of autonomous underwater vehicles using visual markers

Secure Underwater Delay-Tolerant Communications using Distributed Ledger Techniques
Publicado em: (2027)

Predicting the Aesthetic Outcome of Breast Cancer Treatment using Deep Learning

Exploring the potential of DRT for elderly urban mobility using big data

A Trading Agent Framework Using Plain Strategies & Machine Learning

Using fuzzy sets to evaluate the performance of complex system when parameters are uncertain

Using Deep Reinforcement Learning Techniques to Optimize the Throughput of Wi-Fi Links

Learning from Demonstration using Hierarchical Reinforcement Learning for Robotic Skill transferability.

Optical Character Recognition of Alphanumeric Codes of Ceramic Bowls used in Lost-wax Casting

Wireless Underwater Broadband and Long Range Communications using Underwater Drones as Data Mules

A market based active/reactive dispatch including transformer taps and reactor and capacitor banks using simulated annealing

FPGA architectures for reconfigurable computing

A design and simulation of a Brazilian bid based short-term electricity market

Bidirectional DC-DC converter with high frequency isolation for V2G applications