Search Results - (( java application bees algorithm ) OR ( data selection window algorithm ))

Improving the efficiency of clustering algorithm for duplicates detection by Emran, Nurul Akmar, Abdul Rahim, Abdulrazzak Ali Mohamed, Kamal Baharin, Safiza Suhana, Othman, Zahriah, Salem, Awsan Thabet, Abd Aziz, Maslita, Md. Bohari, Nor Mas Aina, Abdullah, Noraswaliza

“…In this paper, we propose a data pre-processing method that increases the efficiency of window algorithms in grouping similar records together. …”
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Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin by Mohd Shahirudin, Syamir

“…The Windows malware dataset has been trained and tested by these three machine learning algorithms to get the percentage detection accuracy. …”
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The impact of news sentiment on the stock market fluctuation : the case of selected energy sector by Ling, Wu, Siew, Hock Ow

“…These findings should provide some guides to stock investors on the movement of the selected stock market prices of energy sector companies during the event window period.…”
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Fuzzy time series sliding window model for rainfall forecasting / Siti Nor Fathihah Azahari by Azahari, Siti Nor Fathihah

“…Rainfall data from four Perlis gauge station are selected and deployed in this study which are taken from Department of Irrigation and Drainage (DID). …”
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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi by Atefi, Kayvan

“…Experiments demonstrate and prove that the proposed EBPSO method produces better accuracy mining data and selecting subset of relevant features comparing other algorithms. …”
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The Use and Evaluation of Split-Window Techniques for NOAA/AVHRR Surface Temperature Extraction over Different Surface Covers: case study (Perak Tengah & Manjong) area, Malays... by Hassaballa A., Abdul-Haleem, Matori , Abdul Nasir

“…The brightness temperature from bands 4&5 was then used with ε to derive Ts using three different split window algorithms. The results showed a good correlation between satellite estimated Ts and measured Ta especially when Uliveri algorithm was applied over the agricultural area with R reaching 87%. …”
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty by Liu, Lihua

“…Further more, an improved non-dominated sorting genetic algorithm with an elite strategy II (IMNSGA-II) has been developed to solve the two bi-objective models, surpassing existing literature’s algorithms such as Pareto Envelope-based Selection Algorithm II (PESA-II) and NSGA-II. …”
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Random subspace K-NN based ensemble classifier for driver fatigue detection utilizing selected EEG channels by Rashid, Mamunur, Mahfuzah, Mustafa, Norizam, Sulaiman, Nor Rul Hasma, Abdullah, Rosdiyana, Samad

“…In the present framework, a new channel selection algorithm based on correlation coefficients and an ensemble classifier based on random subspace k-nearest neighbour (k-NN) has been presented to enhance the classification performance of EEG data for driver fatigue detection. …”
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian by Talebian, Seyed Hamid

“…In this research, we showed how evolutionary multi-objective algorithms can be used to solve the view selection problem and its advantage over classical optimization problems were described. …”
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Artificial Bee Colony With Differential Evolution Algorithm For Feature Extraction And Selection Of Mass Spectrometry Data by Mohamed Yusoff, Syarifah Adilah

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Automatic algorithm applied for calculating thermal conductivity by transient plane source method by Jia, Zhijie, Yang, Liping, Cao, Chengcheng, Li, Huidong, Luo, Caiyun, Tao, Te, Zhong, Qiu, Xu, Zijun, Chen, Zezhong

“…Currently, there is no standardized criteria for selecting effective temperature rise data for thermal conductivity calculation. …”
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Orthogonal Frequency Division Multiple Access resource unit allocation algorithms for IEEE 802.11AX medium access control protocol by Zazali, Azyyati Adiah

“…The simulation results demonstrated that the proposed algorithms significantly outperformed the benchmark algorithms across several metrics. …”
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Integrating finance dictionary in lexicon-based approach with machine learning algorithm to analyse the impact of OPEC news sentiment on financial market / Wu Ling by Wu, Ling

“…Cumulative abnormal return is the average of daily abnormal return during the event window, which can be used to show the overall fluctuation of the stock prices. …”
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

“…The DPA-EHD is further modified by utilizing the pipelining parallelism to reduce the computing iterations and named as data parallel and pipelining algorithm (DPPA-EHD). …”
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Cache replacement algorithm using hierarchical allocation scheduling by Mohd Sharif, Mohammad Faizal

“…The existing cache replacement (i.e. least recently used (LRU)) algorithm depends on usage of the data being referenced. …”
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ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs by Khan, T., Singh, K., Hasan, M.H., Ahmad, K., Reddy, G.T., Mohan, S., Ahmadian, A.

“…The proposed multi-trust approach is used to analyze the credibility of sensitive monitored data. A novel and efficient cluster head selection algorithm (ECHSA) is employed to improve the performance of the cluster head (CH) selection process in clustered WSN. …”
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Ensemble learning using multi-objective optimisation for arabic handwritten words by Ghadhban, Haitham Qutaiba

“…Most ensemble learning approaches are based on the assumption of linear combination, which is not valid due to differences in data types. Also, the existing approaches of classifier generation do not support decision-making for selecting the most suitable classifier, and it requires enabling multi-objective optimisation to handle these differences in data types. …”
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DRIFT ANALYSIS ON NEURAL NETWORK MODEL OF HEAT EXCHANGER FOULING by M., Ramasamy, A., Shahid, H., Zabiri

“…An algorithm for retraining NN model has been proposed. …”
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Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification by Al-Sharhan, Salah, Bimba, Andrew

“…In order to stabilize the classifier of the channels, feature selection is very important. Furthermore, and to improve the performance of a classifier, more data is required from EEG channels for complex problems. …”
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Rough set approach for categorical data clustering by Herawan, Tutut

“…A few techniques of rough categorical data clustering exist to group objects having similar characteristics. …”
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