Alireza Mousavi
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View article: Mapping of Brain Connectivity in Dystonia: Integrating of Electrophysiology and Advanced Imaging Techniques
Mapping of Brain Connectivity in Dystonia: Integrating of Electrophysiology and Advanced Imaging Techniques Open
View article: A.6 The clinical validation of a comprehensive neural autoantibodies testing
A.6 The clinical validation of a comprehensive neural autoantibodies testing Open
Background: New neural antibodies are being identified each year and determining how to measure them and how to interpret test results is complex. In addition, screening with two methods is recommended for most antibodies, particularly par…
View article: P.002 Comprehensive validation of two commercial immunoassays for the biological diagnosis of Alzheimer’s Disease a laboratory diagnostic test
P.002 Comprehensive validation of two commercial immunoassays for the biological diagnosis of Alzheimer’s Disease a laboratory diagnostic test Open
Background: Plasma pTau217 is a robust biomarker for the diagnosis of Alzheimer’s disease (AD). However, most pTau217 assays are not widely available for clinical testing. We assessed the performance of two commercially available plasma pT…
View article: PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages
PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages Open
View article: Deep Reinforcement Learning for Dynamic Learn to Rank: A Risk-Aware Framework for Cryptocurrency
Deep Reinforcement Learning for Dynamic Learn to Rank: A Risk-Aware Framework for Cryptocurrency Open
View article: Identification of furo[2,3-d]pyrimidin-4-ylsulfanyl-1,3,4-thiadiazole derivatives as novel FLT3-ITD inhibitors
Identification of furo[2,3-d]pyrimidin-4-ylsulfanyl-1,3,4-thiadiazole derivatives as novel FLT3-ITD inhibitors Open
Given the significant prevalence of FLT3 receptor and its mutations in acute myeloid leukemia (AML) pathogenesis, we present a novel series of furo[2,3-d]pyrimidin-1,3,4-thiadiazole-urea derivatives, designed to exhibit FLT3-ITD inhibitory…
View article: The Safety Risks of AI-Driven Solutions in Autonomous Road Vehicles
The Safety Risks of AI-Driven Solutions in Autonomous Road Vehicles Open
At present Deep Neural Networks (DNN) have a dominant role in the AI-driven Autonomous driving approaches. This paper focuses on the potential safety risks of deploying DNN classifiers in Advanced Driver Assistance System (ADAS) systems. I…
View article: Feature Selection to Address High Dimensionality in Industry 4.0 Multi-Emitter Laser Modules Assembly Lines
Feature Selection to Address High Dimensionality in Industry 4.0 Multi-Emitter Laser Modules Assembly Lines Open
Industry 4.0 has increased data depth and breadth in high-tech manufacturing, but high-dimensionality and sparsity persist. High-dimensional space's sparsity makes classical learning and knowledge extraction algorithms ineffective and erro…
View article: Advancements in PCB Components Recognition Using WaferCaps: A Data Fusion and Deep Learning Approach
Advancements in PCB Components Recognition Using WaferCaps: A Data Fusion and Deep Learning Approach Open
Microelectronics and electronic products are integral to our increasingly connected world, facing constant challenges in terms of quality, security, and provenance. As technology advances and becomes more complex, the demand for automated …
View article: Local field potential signal transmission is correlated with the fractional anisotropy measured by diffusion tractography
Local field potential signal transmission is correlated with the fractional anisotropy measured by diffusion tractography Open
Objective In this paper we aim to examine the correlation between diffusion tensor imaging (DTI) parameters of anatomical connectivity and characteristics of signal transmission obtained from patient-specific transfer function models. Here…
View article: Reliable Cost Prediction and Control for Intelligent Manufacture: A Key Performance Indicator Perspective
Reliable Cost Prediction and Control for Intelligent Manufacture: A Key Performance Indicator Perspective Open
Article Reliable Cost Prediction and Control for Intelligent Manufacture: A Key Performance Indicator Perspective Hang Geng 1,*, Alireza Mousavi 2, Nikolaos Grigorios Markatos 2, Kai Chen 1, and Xuan Gou 1 1 School of Automation Engineerin…
View article: Revealing the Supply Chain 4.0 Potential within the European Automotive Industry
Revealing the Supply Chain 4.0 Potential within the European Automotive Industry Open
With the rapid advancements in Information and Communication Technologies (ICT) and the widespread enthusiasm of both theoreticians and practitioners, the broader transition to Industry 4.0 (I4.0) in major industries appears imminent. This…
View article: Reliable Cost Prediction and Control for Intelligent Manufacture: A Key Performance Indicator Perspective
Reliable Cost Prediction and Control for Intelligent Manufacture: A Key Performance Indicator Perspective Open
Article Reliable Cost Prediction and Control for Intelligent Manufacture: A Key Performance Indicator Perspective Hang Geng 1,*, Alireza Mousavi 2, Nikolaos Grigorios Markatos 2, Kai Chen 1, and Xuan Gou 1 1 School of Automation Engineerin…
View article: Industrial Genomics: A Novel Approach to System Behaviour Discovery
Industrial Genomics: A Novel Approach to System Behaviour Discovery Open
This paper explores a deeper discovery of the concept of industrial genomics which proposes a technique for registering and relating events causing an observable and definable system state and its transfer to another observable state. Thes…
View article: Quinazoline-based VEGFR-2 inhibitors as potential anti-angiogenic agents: A contemporary perspective of SAR and molecular docking studies
Quinazoline-based VEGFR-2 inhibitors as potential anti-angiogenic agents: A contemporary perspective of SAR and molecular docking studies Open
View article: Manufacturing quality assessment in the industry 4.0 era: a review
Manufacturing quality assessment in the industry 4.0 era: a review Open
Copyright © 2023 The Author(s). Maintaining high-quality standards has consistently been the main goal of industries. With rising demand and customisation, industries must strike a balance between cost, manufacturing time, and quality. The…
View article: Industry 4.0-Based Framework for Real-Time Prediction of Output Power of Multi-Emitter Laser Modules during the Assembly Process
Industry 4.0-Based Framework for Real-Time Prediction of Output Power of Multi-Emitter Laser Modules during the Assembly Process Open
The challenges of defects in manufacturing and assembly processes in optoelectronic industry continue to persist. Defective products cause increased time to completion (cycle time), energy consumption, cost, and loss of precious material. …
View article: Pcb Components Recognition Using Wafercaps: A Data Fusion and Deep Learning Approach
Pcb Components Recognition Using Wafercaps: A Data Fusion and Deep Learning Approach Open
View article: Sustainable approach for wastewater treatment through microbial fuel cell (MFC): Using wood glue instead of expensive polymeric binders
Sustainable approach for wastewater treatment through microbial fuel cell (MFC): Using wood glue instead of expensive polymeric binders Open
View article: Printed Circuit Board Inspection: Fusion of Optical and X-ray Images (FOXi) for Electronic Components Classification
Printed Circuit Board Inspection: Fusion of Optical and X-ray Images (FOXi) for Electronic Components Classification Open
The effective and efficient quality, security and provenance assurance of microelectronics and electronic products is a persisting challenge for the industry. The impetus towards finding automatic solutions that create high confidence abou…
View article: 2-(Nitroaryl)-5-Substituted-1,3,4-Thiadiazole Derivatives with Antiprotozoal Activities: In Vitro and In Vivo Study
2-(Nitroaryl)-5-Substituted-1,3,4-Thiadiazole Derivatives with Antiprotozoal Activities: In Vitro and In Vivo Study Open
Nitro-containing compounds are a well-known class of anti-infective agents, especially in the field of anti-parasitic drug discovery. HAT or sleeping sickness is a neglected tropical disease caused by a protozoan parasite, Trypanosoma bruc…
View article: Defect detection on optoelectronical devices to assist decision making: A real industry 4.0 case study
Defect detection on optoelectronical devices to assist decision making: A real industry 4.0 case study Open
This paper presents an innovative approach, based on industry 4.0 concepts, for monitoring the life cycle of optoelectronical devices, by adopting image processing and deep learning techniques regarding defect detection. The proposed syste…
View article: Waveguide quality inspection in quantum cascade lasers: A capsule neural network approach
Waveguide quality inspection in quantum cascade lasers: A capsule neural network approach Open
View article: The Genomics of Industrial Process Through the Qualia of Markovian Behavior
The Genomics of Industrial Process Through the Qualia of Markovian Behavior Open
© Copyright 2022 The Authors. A technique for registering and relating events that cause an observable and definable system state is proposed. Discrete events of system-state transfer are expressed by event tracking and clustering in the f…
View article: Economic impact assessment indicators of circular economy in a decentralised circular water system — Case of eco-touristic facility
Economic impact assessment indicators of circular economy in a decentralised circular water system — Case of eco-touristic facility Open
The transition from a linear make-use-dispose model to a Circular Economy (CE) model has gained momentum in recent years. To date, substantive efforts have been put by researchers and practitioners on environmental assessment of circular w…
View article: Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing
Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing Open
© Copyright The Authors 2022. An attempt is made to translate five generic key performance indicators (KPIs) into a continuous real-time cost function in a batch order-based manufacturing environment. The challenge of controlling and optim…
View article: Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems
Real-Time Event-Driven Learning in Highly Volatile Systems: A Case for Embedded Machine Learning for SCADA Systems Open
Extracting key system parameters and their impact on state transition is a necessity for
\nknowledge and data engineering. In Decision Support Systems, the quest for yet more efficient and faster
\nmethods of sensitivity analysis (SA) and …
View article: An Improved Capsule Network (WaferCaps) for Wafer Bin Map Classification Based on DCGAN Data Upsampling
An Improved Capsule Network (WaferCaps) for Wafer Bin Map Classification Based on DCGAN Data Upsampling Open
European Union’s Horizon 2020 Research and Innovation Program, IQONIC Project, Grant agreement No. 820677.
View article: Economic assessment of nature-based solutions as enablers of circularity in water systems
Economic assessment of nature-based solutions as enablers of circularity in water systems Open
View article: Correction: Razgon, M., et al. Relaxed Rule-Based Learning for Automated Predictive Maintenance: Proof of Concept. Algorithms 2020, 13, 219
Correction: Razgon, M., et al. Relaxed Rule-Based Learning for Automated Predictive Maintenance: Proof of Concept. Algorithms 2020, 13, 219 Open
The authors wish to make the following corrections to their paper [...]