標題: Titlebook: Recent Advances in Soft Computing and Data Mining; Proceedings of the F Rozaida Ghazali,Nazri Mohd Nawi,Nureize Arbaiy Conference proceedin [打印本頁] 作者: Orthosis 時間: 2025-3-21 19:20
書目名稱Recent Advances in Soft Computing and Data Mining影響因子(影響力)
書目名稱Recent Advances in Soft Computing and Data Mining影響因子(影響力)學科排名
書目名稱Recent Advances in Soft Computing and Data Mining網絡公開度
書目名稱Recent Advances in Soft Computing and Data Mining網絡公開度學科排名
書目名稱Recent Advances in Soft Computing and Data Mining被引頻次
書目名稱Recent Advances in Soft Computing and Data Mining被引頻次學科排名
書目名稱Recent Advances in Soft Computing and Data Mining年度引用
書目名稱Recent Advances in Soft Computing and Data Mining年度引用學科排名
書目名稱Recent Advances in Soft Computing and Data Mining讀者反饋
書目名稱Recent Advances in Soft Computing and Data Mining讀者反饋學科排名
作者: 磨坊 時間: 2025-3-21 21:22 作者: 薄荷醇 時間: 2025-3-22 02:12 作者: Itinerant 時間: 2025-3-22 08:03 作者: 分開如此和諧 時間: 2025-3-22 09:32
Nik Muhammad Farhan Hakim Nik Badrul Alam,Ku Muhammad Naim Ku Khalif,Nor Izzati Jainier hand greater competition in the home-countries can become a threat, when a host of new fast growing Japanese companies appear on the scene as they break out of oversized and inflexible corporate groups, and seek their fortune independently on global markets. Six years after Tiananmen China stands作者: stratum-corneum 時間: 2025-3-22 15:53
Muhammed E. Abd Alkhalec Tharwat,Mohd Farhan Md Fudzee,Shahreen Kasim,Azizul Azhar Ramli,Syed Hamid nment controlled by a single user. Computational Grids provide the opportu- nity to utilize a large-scale environment controlled over different organizational boundaries. Using this class of large-scale computational resources as part of a thread migration system provides a significant challenge pre作者: inspired 時間: 2025-3-22 18:11
Muideen Adegoke,Yuqi Xiao,Chi-Sing Leung,Kwok Wa Leung large volumes of not-very-reusable code. The software industry has been using component technology to build desktop applications for about ten years now. More recently this idea has been extended to application in distributed systems with frameworks like the Corba Component Model and Enterprise Jav作者: DOSE 時間: 2025-3-22 23:13 作者: 態(tài)度暖昧 時間: 2025-3-23 03:53 作者: 極少 時間: 2025-3-23 07:32
Takumi Sase,Marini Othmanof arbitrarily complex patterns of computation and interaction between concurrent activities. Pragmatically, their descriptive power is constrained only by the programmer’s creativity and capacity for attention to detail..Meanwhile, as our understanding of the structure of parallel algorithms develo作者: Expostulate 時間: 2025-3-23 12:14
Nur Aliaa Dalila A. Muhaime,Muhammad Amirul Arifin,Shuhaida Ismail,Shazlyn Milleana Shaharuddin hardware architecture (processor, memory, interconnection network), system software, runtime environment, algorithms, and application design. Performance evaluation is the science of understanding these factors that contribute to the overall expression of parallel performance on real machines and o作者: 山間窄路 時間: 2025-3-23 14:24
Intan Syazwani Noorain,Shuhaida Ismail,Aida Nabilah Sadon,Suhaila Mohd Yasins to minimize ., while the social objective is the ., i.e. the time at which the last agent finishes her execution. We study the problem of optimizing the makespan under the constraint that the obtained schedule is a (pure) Nash equilibrium, i.e. a schedule in which no agent has incentive to unilate作者: 努力趕上 時間: 2025-3-23 21:28
Nur Syahira Jafri,Shuhaida Ismail,Aida Nabilah Sadon,Nur’aina A. Rahman,Shazlyn Milleana Shaharuddineliability, security at low cost. Virtualization techniques allow flexible configuration of storage systems in order to meet resource constraints and application requirements. Violin provides block level virtualization that enables the extension of storage with new mechanisms and combining them to c作者: CHASM 時間: 2025-3-23 23:43
Siti Sakira Kamaruddin,Farzana Kabir Ahmad,Mohammed Ahmed Taiyeeliability, security at low cost. Virtualization techniques allow flexible configuration of storage systems in order to meet resource constraints and application requirements. Violin provides block level virtualization that enables the extension of storage with new mechanisms and combining them to c作者: 悲觀 時間: 2025-3-24 02:36 作者: 蒸發(fā) 時間: 2025-3-24 07:25
Marisa Marisa,Azizul Azhar Ramli,Suhadi Suhadi,Suslistyowati Sulistyowati,Ismail Hanif Robbaniormance growth rates, general-purpose computing must be overhauled to incorporate parallel computing at all levels of a computer system – including the programming mode – all processor vendors put forward many-core roadmaps. They all expect exponential increase in the number of cores over at least a作者: enlist 時間: 2025-3-24 13:20
Kung Chuang Ting,Kim Ho Yeap,Peh Chiong Teh,Koon Chun Lai,Florence Francis-Lothaiormance growth rates, general-purpose computing must be overhauled to incorporate parallel computing at all levels of a computer system – including the programming mode – all processor vendors put forward many-core roadmaps. They all expect exponential increase in the number of cores over at least a作者: Psychogenic 時間: 2025-3-24 16:44
Fast Hard Clustering Based on Soft Set Multinomial Distribution Functionduced and recently the centroid-based approaches were introduced to reduce the complexities of the similarity of categorical data. However, those techniques still produce high computational times. In this paper, we proposed a clustering technique based on soft set theory for categorical data via mul作者: Concrete 時間: 2025-3-24 19:54
PSS: New Parametric Based Clustering for Data Categorynamely multinomial multivariate function. The probability of the data category with binary value can be calculated by binomial distribution. Its generalization called multinomial distribution function for data category with multivariate values. Firstly, the data is represented as multi soft set wher作者: 親屬 時間: 2025-3-25 02:03 作者: atrophy 時間: 2025-3-25 04:03 作者: 功多汁水 時間: 2025-3-25 11:01 作者: Corral 時間: 2025-3-25 13:33
Friendship Prediction in Social Networks Using Developed Extreme Learning Machine with Kernel Reducteral and in social networking applications in particular. It involves analyzing an existing network graph and predicting more links inside the graph that were not identified before. Various models and approaches were developed for this purpose. Similarity-based models were used extensively, mainly t作者: BRACE 時間: 2025-3-25 19:51 作者: GET 時間: 2025-3-25 21:19 作者: Licentious 時間: 2025-3-26 03:11
A Modified Whale Optimization Algorithm as Filter-Based Feature Selection for High Dimensional Datasthat decreases linearly could affect its convergence speed which resulted in low performance in finding better solutions for feature selection. Thus, a modified WOA (mWOA) is proposed by linearly increasing the control parameter value to solve the issue. mWOA is implemented as a filter-based feature作者: 粘連 時間: 2025-3-26 07:01 作者: HEED 時間: 2025-3-26 09:34 作者: 暗諷 時間: 2025-3-26 15:15 作者: exceptional 時間: 2025-3-26 19:16 作者: Emmenagogue 時間: 2025-3-27 00:11
LDA Based Topic Modeling on Hospital Facebook Postsng the contents of social media data. This study aims to model the topics found in two hospitals’ Facebook pages, particularly we used the Latent Dirichlet Allocation (LDA) technique to extract 20 topics from the Facebook posts of two hospitals representing one rural and one urban hospital. The resu作者: 嚴重傷害 時間: 2025-3-27 01:39
Binary Bat Algorithm with Dynamic Bayesian Network for Feature Selection on Cancer Gene Expression Pture space posed significant challenges during data analysis, mainly in learning network structure. Hence, feature selection (FS) has become an essential phase in microarray data analysis to obtain significant genes that could enhance the performance of subsequent process. This study aims to propose作者: 難解 時間: 2025-3-27 07:26
Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Diseaseall deaths are caused by cardiovascular disease each year. The earlier cardiovascular disease may be detected and treated, the lower the risk of significant outcomes for individuals who are already at risk. Developing a better heart disease prediction model can be extremely beneficial in predicting 作者: 神化怪物 時間: 2025-3-27 13:25 作者: Ceramic 時間: 2025-3-27 17:20
Combined Spatial and Frequency Domains in Algorithm of RGB Color Image Security for Telescope Imagesty plays a significant role during the transmission process. Existing algorithms in image security were developed based on Latin squares, DNA sequence etc. However, the suitability of the techniques is questionable and high cost was needed. In this paper, Combined Spatial and Frequency Domains (CSFD作者: connoisseur 時間: 2025-3-27 20:18
Conference proceedings 2022 concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as da作者: 合唱隊 時間: 2025-3-28 00:23
Fast Hard Clustering Based on Soft Set Multinomial Distribution Functionent is conducted to evaluate the processing times, purity and rand index using benchmarks datasets. The experiment results show that the proposed approach have improve the processing times up to 95.03% by not compromising the purity and rand index as compared with baseline techniques.作者: RENAL 時間: 2025-3-28 03:36 作者: Ophthalmologist 時間: 2025-3-28 06:23 作者: 安心地散步 時間: 2025-3-28 14:05 作者: 反話 時間: 2025-3-28 14:49
Combined Spatial and Frequency Domains in Algorithm of RGB Color Image Security for Telescope Imagesy are encrypted by two levels of encryption algorithm. The outputs were evaluated using NPCR, UACI, PSNR, and information entropy. The results showed that this algorithm has better performance compared to other recently developed algorithms.作者: 裝入膠囊 時間: 2025-3-28 20:49 作者: abject 時間: 2025-3-29 02:48 作者: 移動 時間: 2025-3-29 03:10
Fuzzy Approximate Optimal Solution of the Fuzzy Transportation Problems (FTP) Under Interval Form Usmputations of the fuzzy optimal solution FTP are conducted by using the Monte Carlo approach by employ random numbers generated by rand(), sort() and reshape() function in the Matlab software. The results indicated that the aforementioned approach can be had a big potential to be further optimized by taking large random numbers.作者: Ophthalmoscope 時間: 2025-3-29 10:10
Support Vector Machine and Recurrent Neural Network Algorithm for Rainfall Forecasting as RNN has the lowest MSE, RMSE and MdAPE values. Despite having the best statistical performance results, RNN unable to capture the movements and directions of the rainfall since the value of prediction not closed to the actual values.作者: infringe 時間: 2025-3-29 15:06 作者: 暗諷 時間: 2025-3-29 17:24 作者: 參考書目 時間: 2025-3-29 23:27 作者: 聲音刺耳 時間: 2025-3-30 02:56
Rozaida Ghazali,Nazri Mohd Nawi,Nureize ArbaiyIncludes recent research on soft computing and data mining.Presents the outcomes of the Fifth International Conference on Soft Computing and Data Mining (SCDM-2022).Written by experts in the field作者: 嗎啡 時間: 2025-3-30 07:16 作者: Gudgeon 時間: 2025-3-30 11:19 作者: 小平面 時間: 2025-3-30 14:37
2367-3370 oblem with the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches978-3-031-00830-6978-3-031-00828-3Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: 倔強不能 時間: 2025-3-30 19:09
PSS: New Parametric Based Clustering for Data Categorys, purity and rand index using benchmarks datasets. The experiment results show that the proposed approach has improved the processing times up to 92.96%. It also has better performance in term of purity and rand index and error mean of the estimation parameters.作者: avarice 時間: 2025-3-30 23:58
Fuzzy-Autoregressive Integrated Moving Average (F-ARIMA) Model to Improve Temperature Forecastzzy triangles for managing fuzzy data. The proposed method for creating fuzzy numbers using standard deviations yields fewer prediction errors and increases model performance, according to the experimental results. This is because data errors have been rectified, and model development errors have be作者: Platelet 時間: 2025-3-31 03:36
Friendship Prediction in Social Networks Using Developed Extreme Learning Machine with Kernel Reductto the capability of achieving absolute accuracy with less number of features. Experimental results showed the superiority of ILP-PRKELM with an accomplished accuracy of 84.6 and 78.6 for Last.fm and Douban respectively, which is equivalent to 2% improved accuracy over the benchmarks.作者: inquisitive 時間: 2025-3-31 07:31 作者: Spinal-Fusion 時間: 2025-3-31 11:45
Prediction of ADHD from a Small Dataset Using an Adaptive EEG Theta/Beta Ratio and PCA Feature Extraen subject analyses, with accuracy getting worse with the increase of EEG segments. The contribution of this work is two-fold: the practical application allows for a reliable adoption of machine learning in non-invasive EEG screening of small ADHD dataset, while the theoretical contribution extends
