Search Results - (( java adaptation optimization algorithm ) OR ( group estimation method algorithm ))

Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Age Group Estimation from Face Images by Tiong, Pei Kee

“…We have proposed an age group estimation algorithm based on the wrinkle features on the face image. …”
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Kinetic parameters estimation of the Escherichia coli (E. coli) model by Garra Rufa-inspired Optimization Algorithm (GRO) by Jasni, Mohamad Zain, Azrag, Mohammed Adam Kunna, Saiful Farik, Mat Yatin, Aldehim, Ghadah, Zuhaira, Muhammad Zain, Shaiba, Hadil, Alturki, Nazik, Sapiah, Sakri, Azlinah, Mohamed, Jaber, Aqeel S.

“…As a result of this new method, it was discovered that small-scale and even whole-cell dynamic models can be estimated accurately.…”
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An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
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An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
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Grouping based radio frequency identification anti-collision protocols for dense internet of things application by Umelo, Nnamdi H., Noordin, Nor K., A. Rasid, Mohd Fadlee, Geok, Tan K., Hashim, Fazirulhisyam

“…This paper analyzes selected grouping-based algorithms. Their underlining principles are discussed including their tag estimation methods. …”
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DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS by AYOUB MOHAMMED, MOHAMMED ABDALLA

“…It was found that (by the Group Method of Data Handling algorithm), length of the pipe, wellhead pressure, and angle of inclination have a pronounced effect on the pressure drop estimation under these conditions. …”
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Robust estimation methods for fixed effect panel data model having block-concentrated outliers by Abu Bakar @ Harun, Nor Mazlina

“…Two robust Within Group estimators known as Robust Within Group MM (RWMM) and Robust Within Group GM (RWGM) are also proposed to be simulated under the MM-centering. …”
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Scene illumination classification based on histogram quartering of CIE-Y component by Hesamian, Mohammad Hesam

“…Those algorithms which performed estimation carrying out lots of calculation that leads in expensive methods in terms of computing resources. …”
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Pelvic classification based on deep learning algorithm on clinical CT scans in Malaysian population by Yahaya, Yasmin Arijah Che

“…This study analysed the Phenice method by utilising 3D CT scans by deep learning algorithm for sex estimation and age estimation. …”
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Dental Age Estimation Using a Convolutional Neural Network Algorithm on Panoramic Radiographs: A Pilot Study in Indonesia by Arofi Kurniawan, Michael Saelung, Beta Novia Rizky, An’nisaa Chusida, Beshlina Fitri Widayanti Roosyanto Prakoeswa, Giselle Nefertari, Ariana Fragmin Pradue, Mieke Sylvia Margaretha, Aspalilah Alias, Anand Marya

Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data by Tian, Ying

“…The complexity of compositional data with missing values renders traditional estimation methods inadequate. In this thesis, a compositional data imputation method designed based on LASSO is proposed combining group LASSO and adaptive LASSO analysis methods. …”
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Multifunctional optimized group method data handling for software effort estimation by Arbain, Siti Hajar

“…Group Method of Data Handling (GMDH) algorithms have been widely used for modelling and identifying complex systems and potentially applied in software effort estimation. …”
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Hydroclimatic data prediction using a new ensemble group method of data handling coupled with artificial bee colony algorithm by Basri Badyalina, Nurkhairany Amyra Mokhtar, Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Mohamad Faizal Ramli, Muhammad Majid, Fatin Farazh Ya'acob

“…It is rare to find a hydrological application using the group method of data handling (GMDH) model, artificial bee colony (ABC) algorithm, and ensemble technique, precisely predicting ungauged sites. …”
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Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

“…The multi-class classification strategy is used to ensure quick estimation of the multi-class NN algorithms. All of the algorithms are later combined to provide device location estimation for multi-floor environment. …”
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Boosting and bagging classification for computer science journal by Wibawa, Aji Prasetya, Putri, Nastiti Susetyo Fanany, Al Rasyid, Harits, Nafalski, Andrew, Hashim, Ummi Rabaah

“…In the DT algorithm, both variables are altered, whereas, in the GNB algorithm, just the estimator's value is modified. …”
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Effort Estimation Model for Function Point Measurement by Koh, Tieng Wei

“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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DEVELOPMENT OF PREDICTIVE MODELS FOR INFINITE DILUTIONACTIVITY COEFFICIENTOF ALCOHOLIN IONIC LIQUIDSUSING GROUP CONTRIBUTION METHOD by THANGARAJOO, NANTHINIE

“…Group contribution method (GCM) is appliedto develop predictive modelsfor the estimation of the infinite dilution activity coefficient (IDAC) of alcoholin ionic liquids (ILs).The existingnumber of more than 1018 ILs made it unpractical to measure IDAC valuesexperimentally for each synthesized ILs. …”
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Windows-Based bandwidth allocation on optical networks by Mahadevan, V., Yu, W., Zhou, J.

“…In our previous paper we explain about static bandwidth allocation methods weaknesses and improvements. Now, in this paper related to our totally categorize of bandwidth allocation methods to three groups as Static, Router-Based and Windows-Based, we will explain seven major weaknesses on Windows-Based dynamic group and describe the improvements on them one by one. …”
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Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers by Uraibi, Hassan S.

“…The Reweighted Multivariate Normal (RMVN) algorithm is incorporated in the algorithm of the BAE-Net. …”
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