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Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model by Mohammed Adam, Kunna Azrag

“…This development then introduces the Se-PSO algorithm in which the particles are segmented to find a local optimal solution at the beginning and later sought by the PSO algorithm. …”
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Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy by Bhandari, A.K., Singh, V.K, Kumar, A., Singh, G.K.

“…This algorithm is used to obtain the best solution or best fitness value from the initial random threshold values, and to evaluate the quality of a solution, correlation function is used. …”
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Multiregion segmentation of mammogram images by using parametric kernel graph cut algorithm / Nurhanani Abdul Rahim, Nor Farah Nabilah Mushtafa and Nadhirah Afiqah Zailan by Abdul Rahim, Nurhanani, Mushtaf, Nor Farah Nabilah, Zailan, Nadhirah Afiqah

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A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System by Wong, Ze-Hao

“…Surface defect segmentation algorithms in Automatic Optical Inspection (AOI) system for modern manufacturing industries provide solutions to quality control with speed, volume and traceability. …”
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Optic cup and optic disc segmentation using improved selfish gene algorithm / Norharyati Md Ariff by Md Ariff, Norharyati

“…This study performed using a new bio-inspired algorithm; Selfish Gene Algorithm (SFGA) for optic cup and optic disc segmentation. …”
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Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation by Tan , Khang Siang

“…Due to its capability in providing a particularly promising solution to clustering problems, the conventional Fuzzy C-Mean (FCM) algorithm is widely used as a segmentation method. …”
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Automated threshold detection for object segmentation in colour image by Akhtaruzzaman, Md., Shafie, Amir Akramin, Khan, Md. Raisuddin

“…In solving this issue, this paper presents an Automated Threshold Detection Algorithm, H(•). The algorithm is applied in segmenting human lower limbs from a series of image frames of human walking. …”
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Mr image volume segmentation using neuro-fuzzy method / Ahmad Safwan Mohamed Makki by Ahmad Safwan, Mohamed Makki

“…This documentation is about the implementation of neuro-fuzzy approach using Fuzzy Hopfield Neural Network (FHNN) algorithm for the segmentation process of MR image data sets.…”
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Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach by Othman, Khairulnizam

“…Segmentation clustering algorithms have setbacks on overlapping clusters, proportion, and multidimensional scaling to map and leverage the data. …”
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Old Jawi manuscript: Digital recognition / Zaidi Razak by Zaidi, Razak

“…The literature review in this research looks at works conducted in the past on line and character segmentation as well as recognition systems. The information gathered is useful for the development of a line segmentation algorithm, a new character segmentation algorithm, as well as a recognition algorithm which is based on the use of a unique code and Hamming distance calculation. …”
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Simple realization of 5-Segment discontinuous SVPWM based on FPGA by Sutikno, Tole, Jidin, Auzani, Basar, Mohd Farriz

“…These are software-based technique purely and obviously not an ideal solution. Employing Field Programmable Gate Array (FPGA) to realize SVPWM strategies provides advantages that it is considered as an appropriate solution to boost system performance of an SVPWM algorithm. …”
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Efficient hardware design for palm-dorsa vein image enhancement by Jusoh@Yusoff, Suhaimi Bahisham

“…Then, segmentation technique consisting of Difference of Gaussian and threshold are used to segment the veins. …”
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Handoff Scheme for Terrestrial Mobile and Satellite Convergence Networks with Incorporation of Pattern Recognition Algorithm by Kwong, Chiew Foong

“…This paper proposes a newer approach using Adaptive Network Fuzzy Inference System (ANFIS) where the training element is incorporated into the existing fuzzy handoff algorithm. …”
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Lung segmentation in CT for thoracic PET-CT registration through visual study by Mokri, Siti Salasiah, Saripan, M. Iqbal, Marhaban, Mohammad Hamiruce, Nordin, Abdul Jalil

“…In our study, feature based registration algorithm is to be used to solve such problem focusing on the thoracic region. …”
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Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions by Abbas O.K., Abdullah F., Radzi N.A.M., Salman A.D., Abdulkadir S.J.

“…Recommended solutions to the mentioned issues are also explored. …”

A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST by BAHARUDIN, ZUHAIRI

“…In this thesis, a new AR algorithm especially designed for long data records as a solution to STLF problem is proposed. …”
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Data fitting by G1 rational cubic Be´zier curves using harmony search by Mohamed, Najihah, Majid, Ahmad Abd, Piah, Abd Rahni Mt

“…All of the algorithms improvised a near optimal solution but the result that is obtained by the HS is better than the results of the other two algorithms.…”
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Brain white and gray matter anatomy of MRI segmentation based on tissue evaluation by Salih, Qussay Abbas, Ramli, Abdul Rahman, Mahmud, Rozi, O. K. Rahmat, Rahmita Wirza

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A four stage image processing algorithm for detecting and counting of bagworm, Metisa plana Walker (Lepidoptera: Psychidae) by Ahmad, Mohd Najib, Mohamed Shariff, Abdul Rashid, Aris, Ishak, Abdul Halin, Izhal

“…Hence, the development of an image processing algorithm for detection and counting of Metisa plana Walker, a species of Malaysia’s local bagworm, using image segmentation has been researched and completed. …”
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Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel by Usmani, U.A., Happonen, A., Watada, J.

“…Consequently, the feature now includes both high-level and low-level image semantic feature information, boosting our overall segmentation frameworkâ��s performance. We use the Polyvore and DeepFashion2 databases for testing our algorithm, since these are the standard datasets used by the current methods for running the simulations. …”
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