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Keyword: noiseGraph Neural Networks for Fault Diagnostics in Cyber-Physical Systems: A Survey of Taxonomy, Deployment Architectures and Failure Modes
by Vaibhavi Tiwari, Ola Suaifan, Ramy Othman and Anand Gupta
Journal of Engineering Research and Sciences, Volume 5, Issue 6, Page # 67-96, 2026; DOI: 10.55708/js0506006
Abstract: Graph Neural Networks (GNNs) have emerged as a promising approach for fault diagnosis in complex cyber-physical systems because they can model intercomponent relationships, fault propagation, and system-level anomalies across domains such as industrial automation, smart grids, transportation, and healthcare. This survey presents a multidimensional review of GNN-based fault diagnostics, organizing existing methods according to graph… Read More
(This article belongs to the Section Interdisciplinary Applications – Computer Science (IAC))
Impact of Brainwave Entrainment using VR to Improve Attentional Learning in Children with ADHD, ASD and Comorbidity
by Manasa Mandapati and Prabhat Ranjan
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 24-35, 2026; DOI: 10.55708/js0502003
Abstract: Various neurological disorders (NDs) across the globe are prevalent among children, affecting their quality of life. Among them are Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), and comorbid conditions, which are defined by the proximity of symptoms of inattention, hyperactivity, and impulsivity that are accompanied by impairment in several functional domains. The overall… Read More
(This article belongs to the Special Issue on SP8 (Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26)) and the Section Neurosciences (NES))
Neural Synchrony-Based State Representation in Liquid State Machines, an Exploratory Study
by Nicolas Pajot and Mounir Boukadoum
Journal of Engineering Research and Sciences, Volume 2, Issue 11, Page # 1-14, 2023; DOI: 10.55708/js0211001
Abstract: Solving classification problems by Liquid State Machines (LSM) usually ignores the influence of the liquid state representation on performance, leaving the role to the reader circuit. In most studies, the decoding of the internally generated neural states is performed on spike rate-based vector representations. This approach occults the interspike timing, a central aspect of biological… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Neurosciences (NES))
Images Compression using Combined Scheme of Transform Coding
by Zainab Jawad Ahmed, Loay Edwar George and Raad Ahmed Hadi
Journal of Engineering Research and Sciences, Volume 1, Issue 9, Page # 8-14, 2022; DOI: 10.55708/js0109002
Abstract: Some problems want to be solved in image compression to make the process workable and more efficient. Much work had been done in the field of lossy image compression based on wavelet and Discrete Cosine Transform (DCT). In this paper, an efficient image compression scheme is proposed, based on a common encoding transform scheme; It… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Interdisciplinary Applications – Computer Science (IAC))
Machine-Learning based Decoding of Surface Code Syndromes in Quantum Error Correction
by Debasmita Bhoumik, Pinaki Sen, Ritajit Majumdar, Susmita Sur-Kolay, Latesh Kumar KJ and Sundaraja Sitharama Iyengar
Journal of Engineering Research and Sciences, Volume 1, Issue 6, Page # 21-35, 2022; DOI: 10.55708/js0106004
Abstract: Errors in surface code have typically been decoded by Minimum Weight Perfect Matching (MWPM) bas -based Machine Learning (ML) techniques have been employed for this purpose, although how an ML decoder will behave in a more realistic asymmetric noise model has not been studied. In this article we (i) establish a methodology to formulate the… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Applied Mathematics (APM))
An Overview on Various Techniques used for Correct Interpretation of Roadway Symbols
by Abhinav Vinod Deshpande
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 28-38, 2022; DOI: 10.55708/js0103004
Abstract: In this study paper, a comparative analysis of various image enhancements in local domain techniques was made based on three-dimensional image quality statistics namely Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR) and Image Quality Model (SSIM) to determine image quality. especially among them so that the process of image enhancement in the… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Information Systems – Computer Science (ISC))
Ways to Increase the Efficiency of Sucker Rod Pump Units in Oil Production
by Aliev Telman Abbas, Guluyev Gambar Agaverdi, Rzayev Asif Haji, Aliyev Yaver Gabil, Rezvan Mahammad Huseyn, Yashin Anton Nikolaevich and Khakimyanov Marat Ilgizovich
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 01-08, 2022; DOI: 10.55708/js0103001
Abstract: The article shows that in the middle and late stages of oil field development, of all mechanized methods, the most common is oil extraction by sucker rod pump units (SRPU). However, due to inefficient management of them, their operating costs are increasing. The article presents the results of improving the efficiency of SRPU due to… Read More
(This article belongs to the Section Energy and Fuels (ENF))