Browsing Azian Azamimi Abdullah by Issue Date

Now showing items 21-33 of 33

    • Development of EEG-based epileptic detection using artificial neural network 

      Azian Azamimi, Abdullah; Saufiah, Abdul Rahim; Adira, Ibrahim (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      Epilepsy is one of the most common neurological disorders causing from repeating brain seizures that are the result of the temporal and sudden electrical disturbance of the brain. Electroencephalogram (EEG) signal plays ...

    • Simulation study on size and location identification of tumors in liver tissue through eddy current distribution analysis 

      Zulkarnay, Zakaria; Lee, Pick Yern; Azian Azamimi, Abdullah; Ruzairi, Abdul Rahim, Prof. Dr.; Muhammad Saiful Badri, Mansor; Nor Muzakkir, Nor Ayob (Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
      In identifying the location of tumors in the liver, eddy current characteristics analysis can be applied since the conductivity value of normal tissue and tissue with tumors are different, which are 2.88 mS/cm and 5.33 ...

    • Comparison for partial and dark contrast stretching on abnormal bone marrow slide images for leukemia screening 

      Elsie Usun, Francis; Mohd Yusoff, Mashor, Prof. Dr.; Azian Azamimi, Abdullah; Roseline, Hassan, Dr. (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      Image enhancement is often carried out on medical images to improve the quality of the images for further analysis that needs to be done afterwards. It is the most fundamental digital image processing approach done on ...

    • Adaptive neuro-controller based on IMAC scheme for InnoSAT control 

      Norhayati, M. N.; Mohd Yusoff, Mashor, Prof. Dr.; Siti Maryam, Sharun; Azian Azamimi, Abdullah; Wan Nur Hadani (Universiti Malaysia Perlis (UniMAP), 2012-06-18)
      In this paper, an Adaptive Neuro-Controller (ANC) based on Internal Model Adaptive Control (IMAC) scheme is developed to adjust the control parameters for the InnoSAT attitude. Controller architecture, which is combination ...

    • Rapid detection method of bacteria species on diabetic infected foot using E-Nose technology 

      Muhammad Nur Hadi, Salleh; Mohammad Iqbal, Omar, Assoc. Prof. Dr.; Ali Yeon, Md. Shakaff, Prof. Dr.; Amizah, Othman, Dr.; Ammar, Zakaria; Azian Azamimi, Abdullah; Mohd Sadek, Yasin; Saiful Akmal, Yusof (Macao Innovation & Invention Association, 2012-06-29)
      Array based gas sensor technology namely Electronic Nose (E-nose) and Gas Chromatography-Mass Spectrometry (GC-MS) proposed for a rapid and a robust analytical approach for odour measurement especially for a medical use.

    • Rapid detection method of bacteria species on diabetic infected foot using E-Nose technology 

      Muhammad Nur Hadi, Salleh; Mohammad Iqbal, Omar, Assoc. Prof.; Ali Yeon, Md. Shakaff, Prof. Dr.; Amizah, Othman, Dr.; Ammar, Zakaria; Azian Azamimi, Abdullah; Mohd Sadek, Yasin; Saiful Akmal, Yusof (Universiti Sains Malaysia, 2012-07-17)
      The technology is about foot diabetic detection method by using array based sensor technology which is the odor measurement release by the bacteria. This odorus is known as the bio-marker can be used to differentiate the ...

    • Diagnosis of bacteria for diabetic foot infection using electronic nose technology 

      Nurlisa, Yusuf; Muhammad Iqbal, Omar; Ammar, Zakaria; Azian Azamimi, Abdullah; Latifah Munirah, Kamarudin; Ali Yeon, Md Shakaff, Prof. Dr.; Maz Jamilah, Masnan; Nurhamidah, Zakaria; Yeap, Ewe Juan, Dr; Abu Talib, Othman, Dr.; Mohd Sadek, Yasin (IEEE Computer Society, 2013)
      Foot infections may lead to serious complications if failed to detect at an early stage; especially for diabetic patients. It is necessary to develop an easy and reliable method to identify and classify the causative ...

    • Design of an intelligent diagnostic system for detection of knee injuries 

      Azian Azamimi, Abdullah; Nur Siti Fatimah Azz-Zahra, Md Som (Trans Tech Publications, 2013)
      Knee injuries is quite common in sport injuries and one of the most frequent happen are anterior cruciate ligament (ACL) knee injuries. There are two types of ACL injuries which are partial tear and complete tear. Currently ...

    • Bacteria classification using electronic nose for diabetic wound monitoring 

      Azian Azamimi, Abdullah; Nurlisa, Yusuf @ Idris; Ammar, Zakaria, Dr.; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Abd Hamid, Adom, Prof. Dr.; Latifah Munirah, Kamarudin, Dr.; Yeap, Ewe Juan, Dr.; Amizah, Othman, Dr.; Mohd Sadek, Yasin (Trans Tech Publications, 2013)
      Array based gas sensor technology namely Electronic Nose (E-nose) now offers the potential of a rapid and robust analytical approach to odor measurement for medical use. Wounds become infected when a microorganism which ...

    • Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers 

      Azian Azamimi, Abdullah; Nurlisa, Yusuf; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ammar, Zakaria; Latifah Munirah, Kamarudin; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Hamid, Adom, Prof. Dr.; Maz Jamilah, Aznan (Atlantis Press, 2014)
      Many diabetic patients eventually develop foot ulcers are at risk for further infection and subsequent amputation if they are not treated promptly. Hence, this study is focused on identifying wild type strain bacteria and ...

    • Design of an automated breast cancer masses detection in mammogram using cellular neural network (CNN) algorithm 

      Ling, Sim Choon; Azian Azamimi, Abdulah; Wan Khairunizam, Wan Ahmad, Dr. (American Scientific Publishers, 2014-01)
      An automation system using Cellular Neural Network (CNN) algorithm is proposed to assist the radiologists' task in interpreting the digital mammogram image for detecting the presence of breast masses abnormalities. Mammogram ...

    • Gesture recognition based on bayesian inference of distributed arm trajectory 

      Wan Khairunizam, Wan Ahmad, Dr.; Mohd Azri, Abd Aziz; Siti Khadijah, Za'aba, Dr.; Shahriman, Abu Bakar, Dr.; Nasir, Ayob; Azian Azamimi, Abdullah; Zuradzman, Mohd Razlan (American Scientific Publishers, 2014-01)
      The use of human gestures has become an important part of human-computer interaction (HCI) and is receiving more and more attentions in the recent years, which allows users to communicate with machines in the natural way, ...

    • Rapid identification method of aerobic bacteria in diabetic foot ulcers using electronic nose 

      Azian Azamimi, Abdullah; Tan, Woei Jing; Chua, Ai Sie; Nurlisa, Yusuf; Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.; Ali Yeon, Md Shakaff, Prof. Dr.; Abd Hamid, Adom, Prof. Dr.; Latifah Munirah, Kamarudin, Dr.; Yeap, Ewe Juan, Dr.; Ammar, Zakaria, Dr.; Amizah, Othman, Dr.; Mohd Sadek, Yasin (American Scientific Publishers, 2014-01)
      Diabetic foot ulcer (DFU) is an infection, ulcer or destruction of deep tissue associated with neurological abnormalities, musculoskeletal deformities and various degrees of peripheral vascular disease of lower limb. In ...