Search Results - "Amir, Amiza"

Large neighbourhood search based on mixed integer programming and ant colony optimisation for car sequencing by Thiruvady, Dhananjay, Morgan, Kerri, Amir, Amiza, Ernst, Andreas T.

“…We investigate the problem of scheduling a sequence of cars to be placed on an assembly line. Stations, along the assembly line install options (e.g. air…”
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Healthcare scheduling in optimization context: a review by Abdalkareem, Zahraa A., Amir, Amiza, Al-Betar, Mohammed Azmi, Ekhan, Phaklen, Hammouri, Abdelaziz I.

“…This paper offers a summary of the latest studies on healthcare scheduling problems including patients’ admission scheduling problem, nurse scheduling problem,…”
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Discrete flower pollination algorithm for patient admission scheduling problem by Abdalkareem, Zahraa A., Al-Betar, Mohammed Azmi, Amir, Amiza, Ehkan, Phaklen, Hammouri, Abdelaziz I., Salman, Omar H.

“…This paper aims to tackle the Patient Admission Scheduling Problem (PASP) using the Discrete Flower Pollination Algorithm (DFPA), a new, meta-heuristic…”
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Distributed classification for image spam detection by Amir, Amiza, Srinivasan, Bala, Khan, Asad I.

“…Spam appears in various forms and the current trend in spamming is moving towards multimedia spam objects. Image spam is a new type of spam attacks which…”
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Gravitational search algorithm based strategy for combinatorial t-way test suite generation by Maung Htay, Khin, Razif Othman, Rozmie, Amir, Amiza, Mohammed Hachim Alkanaani, Jalal

“…Due to different users' requirements, contemporary software has become feature-rich in terms of input functions (i.e., parameters) and selections (i.e.,…”
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Analysis of the Effectiveness of Metaheuristic Methods on Bayesian Optimization in the Classification of Visual Field Defects by Abu, Masyitah, Zahri, Nik Adilah Hanin, Amir, Amiza, Ismail, Muhammad Izham, Yaakub, Azhany, Fukumoto, Fumiyo, Suzuki, Yoshimi

“…Bayesian optimization (BO) is commonly used to optimize the hyperparameters of transfer learning models to improve the model's performance significantly. In…”
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The Performance Analysis of K-Nearest Neighbors (K-NN) Algorithm for Motor Imagery Classification Based on EEG Signal by Md Isa, Nurul E’zzati, Amir, Amiza, Ilyas, Mohd Zaizu, Razalli, Mohammad Shahrazel

“…Most EEG–based motor imagery classification research focuses on the feature extraction phase of machine learning, neglecting the crucial part for accurate…”
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A Comprehensive Performance Analysis of Transfer Learning Optimization in Visual Field Defect Classification by Abu, Masyitah, Zahri, Nik Adilah Hanin, Amir, Amiza, Ismail, Muhammad Izham, Yaakub, Azhany, Anwar, Said Amirul, Ahmad, Muhammad Imran

“…Numerous research have demonstrated that Convolutional Neural Network (CNN) models are capable of classifying visual field (VF) defects with great accuracy. In…”
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Improved artificial neural networks based whale optimization algorithm by Royida A. Ibrahem Alhayali, Mostafa khaled abd alrahman Aladamey, Mohammed Rashid Subhi, Mostafa A Mohammed, Amiza Amir, Zahraa A. Abdalkareem

“…Owing to the increasing interest in artificial neural networks (ANNs) across various fields of study, many studies have focused on enhancing their performance…”
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Internet of Things (IoT): Taxonomy of security attacks by Nawir, Mukrimah, Amir, Amiza, Yaakob, Naimah, Lynn, Ong Bi

“…The Internet of Things (IoT) comprises a complex network of smart devices, which frequently exchange data through the Internet. Given the significant growth of…”
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A Pairwise T-Way Test Suite Generation Strategy Using Gravitational Search Algorithm by Htay, Khin Maung, Othman, Rozmie Razif, Amir, Amiza, Zakaria, Hasneeza Liza, Ramli, Nuraminah

“…Software faults are commonly occurred due to interactions between one or more input parameters in complex software systems. Software test design techniques can…”
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A Review on Implementation of AES Algorithm Using Parallelized Architecture on FPGA Platform by Mohammed, Nada Qasim, Amir, Amiza, Ahmad, Badlishah, Salih, Muataz Hammed, Arrfou, Hana, Thalji, Nisrean, Matem, Rema, Abbas, Jamal Kamil K., Hussien, Qasim Mohammed, Abdulhassan, Maki Mahdi

“…High-security cryptography algorithms like AES require high computational capabilities to achieve information security. Therefore, it is necessary to use…”
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A Review of Machine Learning Techniques for Predicting Rainforest Watersheds and Enhancing Disaster Preparedness by Pupathy, Sabrina, Azemi, Saidatul Norlyana, Amir, Amiza

“…Floods or rainforest watersheds are among the most frequent and destructive natural disasters, causing significant loss of life and economic disruption…”
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Design Hybrid Architecture to Implement AES Algorithm on FPGA for IoT Applications by Mohammed, Nada Qasim, Amir, Amiza, Salih, Muataz Hammed, Ahmad, R. Badlishah, Matem, Rima, Thalji, Nisrean, Mohammed, Qasim, Abbas, Jamal Kamil K., Al-Shakhli, Taha Raad

“…تتطلب خوارزميات التشفير عالية الأمان مثل AES قدرات حسابية عالية لتحقيق أمن المعلومات. لذلك، من الضروري استخدام بنيات الحوسبة المتوازية التي تستغل التقنيات…”
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A Pairwise T-Way Test Suite Generation Strategy Using Gravitational Search Algorithm by Htay, Khin Maung, Othman, Rozmie Razif, Amir, Amiza, Zakaria, Hasneeza Liza, Ramli, Nuraminah

“…Software faults are commonly occurred due to interactions between one or more input parameters in complex software systems. Software test design techniques can…”
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Distributed pattern recognition within DHT-based networks for imbalanced datasets by Amir, Amiza, Srinivasan, Bala, Khan, Asad I.

“…This paper studies the accuracy of a fully-distributed pattern recognition algorithm, namely the P2P-GN, with imbalanced datasets problem which is often…”
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A survey of session initiation protocol in Wireless Mesh Network by Lee, Zhang Liec, Ong, Bi-Lynn, Amir, Amiza, Hoh, Wei Siang

“…Real-time communication has become extremely important. Users exchange information using video for better visualization. Having known the important of using…”
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A Wheel Graph Structured Associative Memory for Single-Cycle Pattern Recognition within P2P Networks by Amir, Amiza, Mahmood, Raja, Khan, Asad I

“…A novel and efficient associative-memory-based pattern recognition scheme within P2P networks is proposed and implemented. The proposed scheme, known as the…”
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