Search Results - (( data segmentation modified algorithm ) OR ( java implication based algorithm ))

Weighted subsethood segmented fuzzy time series for moving holiday electricity load demand forecasting by Mansor, R., Kasim, M.M., Othman, M.

“…All these matters contributed to the uncertainty in load demand forecasting. This paper modifies the classical fuzzy time series (FTS) algorithm by applying weighted subsethood based algorithm (WSBA) in FTS algorithm using segmented electricity load demand time series data. …”
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Temporal video segmentation using squared form of Krawtchouk-Tchebichef moments by Abdulhussain, Sadiq H.

“…In the proposed TVS, a modified candidate segment selection technique is initially employed to determine the candidate segments from the entire video. …”
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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589) by Mansor, Rosnalini, Mat Kasim, Maznah, Othman, Mahmod, Zaini, Bahtiar Jamili

“…Therefore, the aim of this study is to modify the conventional FTS algorithm by applying weighted subsethood in FTS algorithm on 2017-2018 segmented Malaysia electricity load demand time series data. …”
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting by Rosnalini, Mansor

“…Therefore, this study modified the conventional FTS algorithm by applying weighted subsethood in the algorithm on segmented Malaysia electricity load demand time series data. …”
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A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

“…We propose a new reinforced active learning strategy based on a deep reinforcement learning algorithm. This work presents a modified Deep Q Learning formulation for active learning. …”
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Stroke-to-stroke matching in on-line signature verification by Ahmad Jaini, Azhar

“…Current methods make use of the DTW algorithm and its variant to segment them before comparing each of its data dimension. …”
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Segmentation Assisted Object Distinction For Direct Volume Rendering by Irani, Arash Azim Zadeh

“…The ray casting architecture is modified to accommodate object membership information generated by a K-means based hybrid segmentation algorithm. …”
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Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression by Tan, Li Kuo, McLaughlin, Robert A., Lim, Einly, Abdul Aziz, Yang Faridah, Liew, Yih Miin

“…Tested against the Kaggle database, the signed difference in evaluated blood volume was +7.2 ± 13.0 mL and –19.8 ± 18.8 mL for the end-systolic (ES) and end-diastolic (ED) phases, respectively, with a statistically significant improvement (P < 0.001) for the ED phase. Data Conclusion: A fully automated LV segmentation algorithm was developed and validated against a diverse set of cardiac cine MRI data sourced from multiple imaging centers and scanner types. …”
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Adaptive abdominal fat and liver segmentation of ct scan images for abdominal fat-fatty liver correlation by Mharrib, Ahmed M.

“…A modified Fuzzy C mean clustering method and Otsu thresholding technique are employed to segment the CT images of each subject into fat and non-fat tissues individually. …”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Saleh, Basma Jumaa, Omar, Zaid, As’ari, Muhammad Amir, Bhateja, Vikrant, Izhar, Lila Iznita

“…The proposed models significantly outperform the baseline model, with accuracy improvements of 13.6 on Data1 and 2.5 on Data2. While the baseline model achieves 88 accuracy on Data1 and 97.6 on Data2, the proposed ALS-IOAP-DNN4 model attains perfect accuracy (100) on both datasets, demonstrating the effectiveness of ALS and advanced optimization techniques. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Development of new code for optical code division multiple access systems by Hilal Adnan, Fadhil

“…The overall code sequences are divided into two parts: code and data segments. These codes sequences having zero and variable cross-correlation at data segment and code segment, respectively. …”
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3D multimodal cardiac data reconstruction using computerized tomographic angiography and x-ray angiography registration by Moosavitayebi, Seyed Rohollah

“…In this research work, we report on new contributions to the major parts of a 3D multimodal cardiac data reconstruction system. The first contribution is to propose a fast, accurate and fully automatic method for coronary artery segmentation and labeling from X-ray angiography, based on the proposed modified Starlet Wavelet Transform for segmentation, so that the method can be utilized for registering with other modalities. …”
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A New Substitution Box From Quranic Maqamat by Muhammad Fahim Bin Roslan

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Forecasting model for the change in stage of reservoir water level by Nur Athirah, Ashaary

“…The reservoir water level was categorised into stages based on DID manual. A modified sliding window algorithm has been deployed to segment the data into temporal patterns. …”
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Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction by Shahad, Falih Khlaif

“…The data of series impedance is also used to investigate power flow in all segments in the distribution system. …”
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A fast and accurate method for automatic coronary arterial tree extraction in angiograms by Tayebi, Rohollah Moosavi, Sulaiman, Puteri Suhaiza, O. K. Rahmat, Rahmita Wirza, Dimon, Mohd Zamrin, Kadiman, Suhaini, Khalid, Fatimah, Mazaheri, Samaneh

“…Some techniques and algorithms are proposed for extracting coronary arteries in angiograms. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

“…The land use/cover classes were derived from interpreted information of Landsat TM imagery using the combined object-oriented segmentation - fuzzy logic algorithm. The DEM of 90m resolution, used to calculate slopes that generated runoffs, was derived from radar data sets (C-band) of the Shuttle Radar Topography Mission (SRTM) using the interferometric approach. …”
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