Search Results - (( developing code application algorithm ) OR ( based optimization method algorithm ))

Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

“…Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. …”
Get full text
Get full text
Get full text

Harmony search-based robust optimal controller with prior defined structure by Rafieishahemabadi, Ali

“…The second level compnses of two HS optimization algorithms developed and coded for robust stability examinations. …”
Get full text
Get full text

Regionalization by fuzzy expert system based approach optimized by genetic algorithm. by Chavoshi, Sattar, Sulaiman, Wan Nor Azmin, Saghafian, Bahram, Sulaiman, Md. Nasir, Abd Manaf, Latifah

“…In recent years soft computing methods are being increasingly used to model complex hydrologic processes. …”
Get full text
Get full text

Assessment of ANN-based auto-reclosing scheme developed on single machine-infinite bus model with IEEE 14-bus system model data by Fitiwi, D. Z., K., S. Rama Rao.

“…The fault identification prior to reclosing is based on optimized artificial neural network associated with three different training algorithms. …”
Get full text
Get full text

Determination Of Heat Transfer Coefficients In Heat Exchangers By Genetic Algorithm by Tan Boon Tat, Boon Tat

“…Based upon data from the industry, comparisons are drawn with the correlation developed by conventional methods. …”
Get full text
Get full text

Optimized differential evolution algorithm for linear frequency modulation radar signal denoising by Al-Dabbagh, Mohanad Dawood Hasan

“…The main contention of this thesis is to investigate the development of new optimization technique based on Differential Evolution algorithm (DE), applied for radar signal denoising application. …”
Get full text
Get full text

Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

“…The MTS algorithm is coded in ANSI-C language and tested on benchmark data from Mandl's Swiss Network and Mumford's larger data. …”
Get full text
Get full text

Online Programming Judge System (UOJ) by Tran , Quang Trung

“…This research conducts a study to build an Online Programming Judge system with a mechanism to generate test cases automatically using Particle Swarm Optimization (PSO) algorithm. The system has the function to judge programming code by evaluating the output that the program produced. …”
Get full text
Get full text

Optimal generator matrix G by Harun, Harlisya, Dimyati, Kaharudin, Ungku Chulan, Ungku Azmi Iskandar

“…Maximising the minimum determinant is equivalent to obtaining optimal generator matrix G. Instead of using state diagrams, optimal generator matrix G discussed in this paper is obtained using an improved algorithm which is based on Lisya tree structure. …”
Get full text
Get full text

Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

“…The lack of RGB image-based malware datasets hampers the performance of existing deep learning (DL) models, which require large datasets for high accuracy and face challenges such as time-consuming hyperparameter optimization. …”

Depth linear discrimination-oriented feature selection method based on adaptive sine cosine algorithm for software defect prediction by Nasser, Abdullah, H.M. Ghanem, Waheed Ali, H.Y. Saad, Abdul-Malik, Hamed Abdul-Qawy, Antar Shaddad, A. Ghaleb, Sanaa A, Mohammed Alduais, Nayef Abdulwahab, Din, Fakhrud, Ghetas, Mohamed

“…To address these challenges, this research introduces a novel Depth Linear Discrimination-Oriented Feature Selection Method based on Adaptive Sine Cosine Algorithm, named Depth Adaptive Sine Cosine Feature Selection (DASC-FS). …”
Get full text
Get full text
Get full text

CPU-based Application Transformation to CUDA: Transformation of CPU-based Applications To Leverage on Graphics Processors using CUDA by Mohd Nazlee, Anas, Hussin, Fawnizu Azmadi

“…Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. …”
Get full text
Get full text

Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA by Hussin, Fawnizu Azmadi, Mohd Nazlee, Anas, Zain Ali, Noohul Basheer

“…Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. …”
Get full text
Get full text

Neural network-based codebook search for image compression by Bodruzzaman, M., Gupta, R., Karim, M.R., Bodruzzaman, S.

“…Since the candidate set is usually much smaller that the whole code book, there is a substantial saving in codebook search time for coding an image as compared to the traditional method using full codebook search by LBG algorithm.…”
Get full text
Get full text
Get full text

Optimal geometric arrangement of unfinned and finned flat tube heat exchangers under laminar forced convection by Tahseen Ahmad, Tahseen

“…Conservation equations (mass, momentum, and energy) were solved to develop code utilizing Visual-FORTRAN based on finite volume technique to determine the temperature and velocity fields. …”
Get full text
Get full text

Super Calculator using Compute Unified Device Architecture (CUDA) by Nazlee, Anas Mohd

“…Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. …”
Get full text
Get full text

Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

“…Moreover, instead of concatenating feature vectors together and send to classifier, sparse coding and dictionary learning methods are used and instead of considering all features as one view (visual feature), K-SVD algorithm that is one of the famous algorithms for sparse representation is optimized and developed to multi-view model.The experimental results prove that the proposed methods has improved accuracy by 53.77% compared to concatenating features and classic K-SVD dictionary learning model as well.…”
Get full text
Get full text

A Review on feature selection and ensemble techniques for intrusion detection system by Torabi, Majid, Udzir, Nur Izura, Abdullah @ Selimun, Mohd Taufik, Yaakob, Razali

“…Besides supervised and unsupervised learning methods in machine learning, ensemble methods combine several base models to produce one optimal predictive model and improve accuracy performance of IDS. …”
Get full text
Get full text

Form four chemistry teachers’ conceptualization of pedagogical content knowledge / Chien Lee Shing by Chien, Lee Shing

“…As a whole, the teaching of the four Form Four chemistry teachers was teacher-oriented, algorithmic, using chalk-and-talk approach which did not support thoughtful and meaningful and optimal learning among the students. …”
Get full text
Get full text

Power consumption and size minimization of a wireless sensor node in automation system application by Sabry, Ahmad H., Wan Hasan, Wan Zuha, Ab Kadir, Mohd Zainal Abidin, Mohd Radzi, Mohd Amran, Shafie, Suhaidi

“…These strategies provide knowledge to expect the WSN cost, complexity, and lifetime, as well as to provide recommendations to automation designers and enhance to optimize the energy consumed based on the applications. …”
Get full text
Get full text