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| 1 | Chronic exposure to rotenone, a dopaminergic toxin, results in peripheral neuropathy associated with dopaminergic damage显示文摘 | Zbigniew K. Binienda Sumit Sarkar Lamya Mohammed-Saeed Bobby Gough Michael A. Beaudoin Syed F. Ali Merle G. Paule Syed Z. Imam | 2013 | Neuroscience Letters2013，，： | 1 |
| 2 | Molecular aspects of dopaminergic neurodegeneration:gene-environment interac-tion in parkin dysfunction 显示文摘 | Ali SF Binienda ZK Imam SZ | 2011 | Int J Environ Res Public Health2011，8，： | 1 |
| 3 | The decoupling of damped linear systems in oscillatory free vibration 显示文摘 | Fai Ma Ali Imam Matthias morzfeld | 2009 | Journal of Sound and Vibration2009，324，： | 1 |
| 4 | Molecular aspects of dopa minergic neurodegen rat ion: gene-environment interaction in parkin dysfunction显示文摘 | Ali S F B inienda Z K Imam S Z | 2011 | Int J Environ Res Public Health2011，8，12： | 1 |
| 5 | Acute Toxicity of Carbonyl Iron and Sodium Iron EDTA Compared with Ferrous Sulfate in Young Rats显示文摘 | P. Whittaker S.F. Ali S.Z. Imam V.C. Dunkel | 2002 | Regulatory Toxicology and Pharmacology2002，，3： | 1 |
| 6 | Molecular aspects of dopaminergic neurodegeneration:gene-environment interaction in parkin dysfunction显示文摘 | Ali S F Binienda Z K Imam S Z | 2011 | Int J Environ Res Public Health2011，8，12： | 1 |
| 7 | An Improved LSTM-PCA Ensemble Classifier for SQL Injection and XSS Attack Detection显示文摘The Repository Mahasiswa(RAMA)is a national repository of research reports in the form of final assignments,student projects,theses,dissertations,and research reports of lecturers or researchers that have not yet been published in journals,conferences,or integrated books from the scientific repository of universities and research institutes in Indonesia.The increasing popularity of the RAMA Repository leads to security issues,including the two most widespread,vulnerable attacks i.e.,Structured Query Language(SQL)injection and cross-site scripting(XSS)attacks.An attacker gaining access to data and performing unauthorized data modifications is extremely dangerous.This paper aims to provide an attack detection system for securing the repository portal from the abovementioned attacks.The proposed system combines a Long Short–Term Memory and Principal Component Analysis(LSTM-PCA)model as a classifier.This model can effectively solve the vanishing gradient problem caused by excessive positive samples.The experiment results show that the proposed system achieves an accuracy of 96.85%using an 80%:20%ratio of training data and testing data.The rationale for this best achievement is that the LSTM’s Forget Gate works very well as the PCA supplies only selected features that are significantly relevant to the attacks’patterns.The Forget Gate in LSTM is responsible for deciding which information should be kept for computing the cell state and which one is not relevant and can be discarded.In addition,the LSTM’s Input Gate assists in finding out crucial information and stores specific relevant data in the memory. | Deris Stiawan Ali Bardadi Nurul Afifah Lisa Melinda Ahmad Heryanto Tri Wanda Septian Mohd Yazid Idris Imam Much Ibnu Subroto Lukman Rahmat Budiarto | 2023 | Computer Systems Science & Engineering2023，46，8： | 0 |
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