Financial time series forecasting using twin support vector regression by Gupta, Deepak, Pratama, Mahardhika, Ma, Zhenyuan, Li, Jun, Prasad, Mukesh

“…This paper proposes twin support vector regression for financial time series prediction to deal with noisy data and nonstationary information. …”
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Banach-Stone Theorem for isometries on spaces of vector-valued differentiable functions by Leung, Denny H., Ng, Hong Wai, Tang, Wee Kee

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Comparing soft and hard vector processing in FPGA-based embedded systems by Soh, Jun Jie, Kapre, Nachiket

“…Soft vector processors can augment and extend the capability of embedded hard vector processors in FPGA-based SoCs such as the Xilinx Zynq. …”
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Planar superconducting toroidal metamaterial : a source for oscillating vector-potential? by Savinov, V., Delfanazari, K., Fedotov, V. A., Zheludev, Nikolay I.

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Recognition of human activities using a multiclass relevance vector machine by He, Weihua, Yow, Kin Choong, Guo, Yongcai

“…We address the issue of human activity recognition by introducing the multiclass relevance vector machine (mRVM), the current state-of-the-art kernel machine learning technology given the multiclass classification problems (actually, activity recognition can commonly be viewed as a multiclass classification problem). …”
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Enhancement of lentiviral vector production through alteration of virus-cell interactions by Gelinas, J

“…They have been successfully used in <em>ex vivo</em> clinical trials for several haematopoietic stem cell disorders. Lentiviral vectors, however, suffer from substantially lower titres than the more popular adeno-associated virus (AAV)-based vectors and therefore have limited applicability for <em>in vivo</em> gene therapy which requires much greater quantities of virus. …”

Scalable fabrication of graphene-based laminate membranes for liquid and gas separations by crosslinking-induced gelation and doctor-blade casting by Yang, Euntae, Karahan, H. Enis, Goh, Kunli, Chuah, Chong Yang, Wang, Rong, Bae, Tae-Hyun

“…Given the scaleup potential of doctor-blade casting and the practicality of crosslinking-based gelation approach, the proposed approach is promising to increase the industrial relevance of GO-based laminate membranes.…”
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A rotation-invariant additive vector sequence based star pattern recognition by Mehta, Deval Samirbhai, Chen, Shoushun, Low, Kay-Soon

“…Later, the additive property of 2-D vectors is integrated with the rotation-invariant frame to build a vector sequence for star identification. …”
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Optimized data reuse via reordering for sparse matrix-vector multiplication on FPGAs by Li, Shiqing, Liu, Di, Liu, Weichen

“…Sparse matrix-vector multiplication (SpMV) is of paramount importance in both scientific and engineering applications. …”
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Representation learning using deep random vector functional link networks for clustering by Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam

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Extended features based random vector functional link network for classification problem by Malik, Ashwani Kumar, Ganaie, M. A., Tanveer, M., Suganthan, Ponnuthurai Nagaratnam

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Development of an inducible single lentiviral vector-based microRNA knockdown construct. by Ip, Jun Yu.

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Mosquito as West Nile virus vector: global timeline of detection, characteristic, and biology by Natasha, Jafar Ali, Yasmin, Abd Rahaman, Kumar Sharma, Reuben Sunil, Nur-Fazila, Saulol Hamid, Nur-Mahiza, Md Isa, Arshad, Siti Suri, Mohammed, Hussni Omar, Kumar, Kiven, Keng Loong, Shih, Ahmad Khusaini, Mohd Kharip Shah

“…Mosquitoes are extremely important vectors that transmit zoonotic West Nile virus (WNV) globally, resulting in significant outbreaks in birds, humans, and mammals. …”
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In recognition of the excellent service and contributions rendered, this university confers upon John G. Daniel the Honorary Degree of Doctor of Civil Engineering / by Universiti Teknologi Malaysia 495834, Daniel, John G., addressee 413085, Sultanah Zanariah Almarhum Tunku Ahmad, signer 655367, Ahmad Zaharudin Idrus, Tan Sri, Datuk, Dr., 1944-, signer 386116, Ismail Ibrahim, signer 324675

Prevalence of offering menopause hormone therapy among primary care doctors and its associated factors: a cross-sectional study by Low, Tiong Lim, Cheong, Ai Theng, Devaraj, Navin Kumar, Ismail, Rohayah

“…However, a local study found that the usage of MHT among menopausal women was low (8.1%), with one of the main reasons being it is not recommended by doctors. Therefore, the objectives of this study are to determine the prevalence of offering MHT in treating symptomatic menopausal women among primary care doctors (PCDs) and its associated factors. …”
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Full-Dimensional Quantum Dynamical Studies of the Cl + HOD → HCl/DCl + OD/OH Reaction: Bond Selectivity and Isotopic Branching Ratio by Song, Hongwei, Lee, Soo-Ying, Lu, Yunpeng, Guo, Hua

Subjects: “…Vector projection…”
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In recognition of the excellent service and contributions rendered, this university confers upon Baharuddin Bin Hj. Abu Kassim the Honorary Degree of Doctor of Architecture / by Universiti Teknologi Malaysia 495834, Baharuddin Abu Kassim, addressee 205679, Sultanah Zanariah Almarhum Tunku Ahmad, signer 655367, Ahmad Zaharudin Idrus, Tan Sri, Datuk, Dr., 1944-, signer 386116, Ismail Ibrahim, signer 324675

Robust training algorithm of neural network and support vector machine for pattern recognition and control by Hu, Wenjie.

“…Traditional neural network approaches have suffered from difficulties with gener-alization ability and the over- fitting problem always plagues artificial lintelligence researchers.The support vector machines (SVMs)is a new and very promising classification technique developed by Vapnik and his research group.…”
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Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases by Qin, Yuting

“…Deep learning has transformed almost all types of data (e.g., images, videos, documents) into high-dimension vectors, which in turn forms Vector Databases as the data engines of various applications. …”
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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. …”
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