Alireza Mousavi

College of Engineering

United Kingdom

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Articles (17)

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (5)

ABD AL RAHMAN M. ABU EBAYYEH

Teaching Fellow in Applied Machine Learning

Imperial College London

UNITED KINGDOM

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Pedro Sousa

Co-Manager and Chief Technology Officer (CTO)

ONCONTROL TECHNOLOGIES LDA

PORTUGAL

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Evina Katsou

Brunel University London

UNITED KINGDOM

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Eric Mino

Head of service

UNESCO-IHE Institute for Water Education

FRANCE

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Sebelan Danishvar

Brunel University London

UNITED KINGDOM

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Alireza Mousavi

Research Interests

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Articles (17)

Advancements in PCB Components Recognition Using WaferCaps: A Data Fusion and Deep Learning Approach

The Safety Risks of AI-Driven Solutions in Autonomous Road Vehicles

Manufacturing quality assessment in the industry 4.0 era: a review

Industry 4.0-Based Framework for Real-Time Prediction of Output Power of Multi-Emitter Laser Modules during the Assembly Process

Waveguide quality inspection in quantum cascade lasers: A capsule neural network approach

Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems

An Improved Capsule Network (WaferCaps) for Wafer Bin Map Classification Based on DCGAN Data Upsampling

Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing

Outlier-Resistant Filtering With Dead-Zone-Like Censoring Under Try-Once-Discard Protocol

The Genomics of Industrial Process Through the Qualia of Markovian Behavior

Economic impact assessment indicators of circular economy in a decentralised circular water system — Case of eco-touristic facility

Economic assessment of nature-based solutions as enablers of circularity in water systems

Correction: Razgon, M., et al. Relaxed Rule-Based Learning for Automated Predictive Maintenance: Proof of Concept. <i>Algorithms</i> 2020, <i>13</i>, 219

Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model

Energy-Aware Flowshop Scheduling: A Case for AI-Driven Sustainable Manufacturing

Protocol-Based Tobit Kalman Filter Under Integral Measurements and Probabilistic Sensor Failures

A Review and Analysis of Automatic Optical Inspection and Quality Monitoring Methods in Electronics Industry

Collaborators (5)

ABD AL RAHMAN M. ABU EBAYYEH

Pedro Sousa

Evina Katsou

Eric Mino

Sebelan Danishvar

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