Search Results - (( user evaluation method algorithm ) OR ( rate information system algorithm ))*

Deep reinforcement learning approaches for multi-objective problem in Recommender Systems by Ee, Yeo Keat

“…The current major existing multi-objective recommendation approaches utilize collaborative filtering method as rating predictor to replenish the missing ratings and combined with evolutionary algorithm for only bi-objective optimization. …”
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Paper Survey And Example Of Collaborative Filtering Implementation In Recommender System by Hanafi, Suryana, Nanna, Hasan Basari, Abd Samad

“…The relation to the database query, it needs suitable query algorithm web search and user profiling strategy. …”
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Book recommendation system / Nur Dalila Afifah Ghazali by Ghazali, Nur Dalila Afifah

“…For this project, the user-item rating methods and the item-item rating had been implemented on the system to generate the list of recommendation books to the user. …”
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On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems by Mohammed Ahmed, Adeeb Ali

“…Massive MIMO systems are affected by pilot contamination, which influences the data rate of the system. …”
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Personalized job recommender system using content-based filtering for UiTM Machang graduates by Rosli, Norhalili

“…The System Usability Scale (SUS) and User Acceptance Testing (UAT) are used to evaluate the system’s usability because they are well-known and trusted methods for measuring user experience. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

Improving Channel Assignment for Vehicular Ad-hoc Sensor Network in Disaster Management System by Chiu Shoon, Sia

“…This research shows that packet loss has a more significant influence when measured over the proposed methods and algorithms, as well as delay and energy consumption during the evaluation stage. …”
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Postal address handwritten recognition using convolutional neural network / Nur Hasyimah Abd Aziz by Abd Aziz, Nur Hasyimah

“…Functionality test was done in order to evaluate the system. The result of the functionality test is most of the user are satisfy with the system. …”
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Durian species recognition system based on global shape representations and k-nearest neighbors by Nyon, Xin Yi, Mustaffa, Mas Rina, Abdullah, Lili Nurliyana, Nasharuddin, Nurul Amelina

“…Few global contour-based and region-based shape descriptors such as area, perimeter, and circularity are computed as feature vectors and K-Nearest Neighbors algorithm is used to classify the durian based on the extracted features. 10-fold cross-validation is used to evaluate the proposed system. …”
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Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique by Ling, Tung Chai

“…Results obtained by this technique are compared with the Jabatan Kerja Raya manual using conventional method to check accuracy. The algorithms developed in this study are capable of identifying type of cracking and its severity level at the accuracy about 90%. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

“…The results shows that the algorithm ONF-TRS has low computational cost and high compression rate as compared with the existing works. …”
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Network coding schemes with efficient LDPC coded MIMO–NOMA in two-way relay networks by Ngu War Hlaing, Ali Farzamnia, Muralindran Mariappan, Manas Kumar Haldar

“…Redundancy with randomly interleaved differential encoding (R-RIDE) is proposed and applied to LDPC encoded messages by two users. LDPC decoding is done using the sum-product algorithm (SPA), which has two types of decoding methods, hard-decision and soft-decision. …”
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Coastal Priority Ranking in Oil Spill Response Decision Support Mechanism by Pourvakhshouri, Seyedeh Zahra

“…General rates given to the mechanism by two groups of users were 82 and 85 percent with a + 3.66 percent of uncertainty that was issued a high verification value. …”
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Hierarchical fuzzy logic ranking function for Malay translated hadith information retrieval system / Shaiful Bakhtiar Rodzman by Rodzman, Shaiful Bakhtiar

“…Hence, it is widely used as a baseline model for new ranking method evaluation in substitution to the vector model. …”
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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…One of a critical criterion of the detection system is capable to learn fast because after the learning, the updated information needs to be passed to user to avoid the user from being deceived by the cybercriminal. …”
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Network coding schemes with efficient LDPC coded MIMO–NOMA in two-way relay networks by Takashi Kamada1,2 ·, Mary Lyn Johanis2 ·, Ng, Shean Yeaw, Phan, Chin Soon, Monica Suleiman, Charles Santhanaraju Vairappan

“…Redundancy with randomly interleaved differential encoding (R-RIDE) is proposed and applied to LDPC encoded messages by two users. LDPC decoding is done using the sum-product algorithm (SPA), which has two types of decoding methods, hard-decision and soft-decision. …”
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Advancing Multiband OFDM Channel Sounding: An Iterative Time Domain Estimation for Spectrally Constrained Systems by Iqbal, A., Drieberg, M., Jeoti, V., Aziz, A.B.A., Stojanovic, G.M., Simic, M., Hussain, N.

“…The performance of the newly developed technique is evaluated through extensive numerical experiments, where the Mean Squared Error (MSE) and Bit Error Rate (BER) are computed for various scenarios. …”
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Advancing Multiband OFDM Channel Sounding: An Iterative Time Domain Estimation for Spectrally Constrained Systems by Iqbal, A., Drieberg, M., Jeoti, V., Aziz, A.A., Stojanovic, G.M., Simic, M., Hussain, N.

“…The performance of the newly developed technique is evaluated through extensive numerical experiments, where the Mean Squared Error (MSE) and Bit Error Rate (BER) are computed for various scenarios. …”
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The improvement of Item-based collaborative filtering algorithm in recommendation system using similarity index by Yao, Ma

“…A collaborative filtering algorithm is one of the algorithms applied in the recommendation system. …”
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Crypt Edge Detection Using PSO,Label Matrix And BI-Cubic Interpolation For Better Iris Recognition(PSOLB) by Hashim, Nurul Akmal

“…Recently,there has been renewed interest in iris features detection.Gabor filter,cross entrophy, upport vector,and canny edge detection are methods which produce iris codes in binary codes representation.However,problems have occurred in iris recognition since low quality iris images are created due to blurriness,indoor or outdoor settings, and camera specifications.Failure was detected in 21% of the intra-class comparisons cases which were taken between intervals of three and six months intervals.However,the mismatch or False Rejection Rate (FRR) in iris recognition is still alarmingly high.Higher FRR also causes the value of Equal Error Rate (EER) to be high.The main reason for high values of FRR and EER is that there are changes in the iris due to the amount of light entering into the iris that changes the size of the unique features in the iris.One of the solutions to this problem is by finding any technique or algorithm to automatically detect the unique features.Therefore a new model is introduced which is called Crypt Edge Detection which combines PSO,Label Matrix,and Bi-Cubic Interpolation for Iris Recognition (PSOLB) to solve the problem of detection in iris features.In this research, the unique feature known as crypts has been chosen due to its accessibility and sustainability.Feature detection is performed using particle swarm optimisation (PSO) as an algorithm to select the best iris texture among the unique iris features by finding the pixel values according to the range of selected features.Meanwhile, label matrix will detect the edge of the crypt and the bi-cubic interpolation technique creates sharp and refined crypt images.In order to evaluate the proposed approach,FAR and FRR are measured using Chinese Academy of Sciences' Institute of Automation (CASIA) database for high quality images.For CASIA version 3 image databases, the crypt feature shows that the result of FRR is 21.83% and FAR is 78.17%.The finding from the experiment indicates that by using the PSOLB,the intersection between FAR and FRR produces the Equal Error Rate (EER) with 0.28%,which indicated that equal error rate is lower than previous value, which is 0.38%.Thus,there are advantages from using PSOLB as it has the ability to adapt with unique iris features and use information in iris template features to determine the user.The outcome of this new approach is to reduce the EER rates since lower EER rates can produce accurate detection of unique features.In conclusion,the contribution of PSOLB brings an innovation to the extraction process in the biometric technology and is beneficial to the communities.…”
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