Improved space vector modulation with reduced switching vectors for multi-phase matrix converter / by S. K. Moin Ahammed, 1983-, author 602191, Zainal Salam, supervisor 354781, Fakulti Kejuruteraan Elektrik 540663

Improved space vector modulation with reduced switching vectors for multi-phase matrix converter [electronic resource] / by S. K. Moin Ahammed, 1983-, author 602191, Zainal Salam, supervisor 354781, Fakulti Kejuruteraan Elektrik 540663

Quantum computing modelling on field programmable gate array based on state vector and heisenberg models / by Lee, Yee Hui, 1988-, author 548199, Muhammad Nadzir Marsono, supervisor 642192, Fakulti Kejuruteraan Elektrik 540663

Quantum computing modelling on field programmable gate array based on state vector and heisenberg models / by Lee, Yee Hui, 1988-, author 548199, Fakulti Kejuruteraan Elektrik 540663

A smart arrhythmia classification system based on wavelet trasform and support vector machine techniques / by Chia, Nyoke Goon, 1988-, author 595074, Hau, Yuan Wen, supervisor 644486, Fakulti Biosains dan Kejuruteraan Perubatan 538915

Subjects: “…Support vector machines…”

A smart arrhythmia classification system based on wavelet trasform and support vector machine techniques / by Chia, Nyoke Goon, 1988-, author 595074

Subjects: “…Support vector machines…”

A robust hybrid model based on support vector machine and kalman filter algorithm for bus arrival time prediction / by Abdirahman Osman Hashi, 1992- author 616589, Siti Zaiton Mohd. Hashim supervisor 558111, Fakulti Kejuruteraan. Sekolah Komputeran 619086

A robust hybrid model based on support vector machine and kalman filter algorithm for bus arrival time prediction / by Abdirahman Osman Hashi, 1992- author 616589

Enhancing electricity consumption forecasting in limited dataset: A simple stacked ensemble approach incorporating simple linear and support vector regression for Malaysia by Chuan, Zun Liang, Shao Jie, Ong, Yim Hin, Tham, Siti Nur Syamimi, Mat Zain, Yunalis Amani, Abdul Rashid, Ainur Naseiha, Kamarudin

“…This article introduces a novel artificial intelligence (AI) time-series algorithm, a simple stacked ensemble of simple linear regression (SLR) and Support Vector Regression (SVR), designed to forecast Malaysia’s annual electricity consumption, particularly in scenarios with limited datasets utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) data science methodology. …”
Get full text
Get full text

The capabilities of Multiclass Support Vector Machine (MSVM) training algorithms in grading agarwood essential oil by Anis Hazirah ‘Izzati H., Al-Hadi, Siti Mariatul Hazwa, Mohd Huzir, Nurlaila, Ismail, Zakiah, Mohd Yusoff, Saiful Nizam, Tajuddin, Mohd Nasir, Taib

“…Multiclass support vector machine has been identified to be a very effective tool for classification. …”
Get full text
Get full text

Daily allocation of energy consumption forecasting of a power distribution company using optimized least squares support vector machine by Ahmed, Marzia, Mohd Herwan, Sulaiman, Hassan, Md Maruf, Rahaman, Md Atikur, Mohammad, Amin

“…This study presents a novel approach for optimal allocation forecasting of energy consumption in a power distribution company, utilizing the Least Squares Support Vector Machine (LSSVM) optimized by novel variants of the Barnacle Mating Optimizer (BMO) such as the new Gooseneck Barnacle Optimizer and Selective Opposition-based constrained BMO. …”
Get full text

Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases by Qin, Yuting

“…In a vector database, the major operation is to search the 𝑘 closest vectors to a given query vector, known as 𝑘-Nearest-Neighbor (𝑘-NN) search. …”
Get full text

Feasibility of Vector Instruction-Set Semantics Using Abstract Monads by De Belen, Arthur Reiner

“…In this work I examine the question of whether the same prior work can be extended to formalize the semantics of the vector extension. I answer this question with a tentative “yes”, backed by a partial specification in Haskell of a small but nontrivial subset of this vector extension, a translation of the same specification into Coq using hs-to-coq², and work towards demonstrating the utility of this specification.…”
Get full text

Search for Higgs boson pair production with one associated vector boson in proton-proton collisions at √s = 13 TeV by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D.

“…Abstract A search for Higgs boson pair (HH) production in association with a vector boson V (W or Z boson) is presented. The search is based on proton-proton collision data at a center-of-mass energy of 13 TeV, collected with the CMS detector at the LHC, corresponding to an integrated luminosity of 138 fb−1. …”
Get full text

Measurement of boosted Higgs bosons produced via vector boson fusion or gluon fusion in the H → bb¯ decay mode using LHC proton-proton collision data at √s = 13 TeV by Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Hussain, P. S., Jeitler, M., Krammer, N., Li, A., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., The CMS collaboration

“…A measurement is performed of Higgs bosons produced with high transverse momentum (pT) via vector boson or gluon fusion in proton-proton collisions. …”
Get full text

Echocardiogram Vector Embeddings Via R3D Transformer for the Advancement of Automated Echocardiography by Chung, Daniel J, Lee, Somin Mindy, Kaker, Vasu, Zhao, Yongyi, Bin, Irbaz, Perera, Sudheesha, Sasankan, Prabhu, Tang, George, Kazzi, Brigitte, Kuo, Po-Chih, Celi, Leo A, Kpodonu, Jacques

“…CONCLUSIONS: We present 10,030 vector embeddings learned by this model as a resource to the cardiology research community, as well as the trained model itself. …”
Get full text

Differentiable Vector Graphics Rasterization for Editing and Learning by Li, Tzu-Mao, Lukac, Mike, Gharbi, Michael, Ragan-Kelley, Jonathan

“…We observe that vector graphics rasterization is differentiable after pixel prefiltering. …”
Get full text

Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network by Asif, M. T., Oran, A., Fathi, E., Xu, M., Dhanya, M. M., Mitrovic, N., Jaillet, P., Dauwels, Justin, Goh, Chong Yang

“…Previous studies have shown that data driven machine learning methods like support vector regression (SVR) can effectively and accurately perform this task. …”
Get full text
Get full text

Scene change detection using motion vectors and dc components of prediction residual in H.264 compressed videos by Lin, Zhiping, Yu, Zhenyu.

“…In this paper, we use the DC component of inter prediction residuals as well as motion vectors to detect scene changes. Using the proposed algorithm, we can detect scene changes for H.264 compressed videos more effectively, as demonstrated by simulations.…”
Get full text
Get full text

Space vector pulse-width modulation based maximum boost control of Z-source inverters by Yu, Kun., Luo, Fang Lin., Zhu, Miao.

“…In this paper, a novel maximum boost control method is presented based on the space vector pulse-width modulation (SVPWM) technique for the three-phase Z-source inverter (ZSI). …”
Get full text
Get full text