Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso
ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes +4 more
wiley +1 more source
Complex Hadamard Matrix-Aided Generalized Space Shift Keying Modulation
In this paper, we present a complex Hadamard matrix-aided generalized space shift keying (HSSK) modulation scheme, which introduces complex-Hadamard-based signal vectors at the transmitter to provide higher spectrum efficiency than generalized space ...
Han Hai +5 more
doaj +1 more source
Enhancing Lipidomics With High‐Resolution Ion Mobility‐Mass Spectrometry
ABSTRACT Lipids, indispensable yet structurally intricate biomolecules, serve as critical regulators of cellular function and disease progression. Conventional lipidomics, constrained by limited resolution for isomeric and low‐abundance species, has been transformed by ion mobility‐mass spectrometry (IM‐MS).
Gaoyuan Lu +3 more
wiley +1 more source
COMPARATIVE ANALYSIS OF APPLICATION EFFICIENCY OF ORTHOGONAL TRANSFORMATIONS IN FREQUENCY ALGORITHMS FOR DIGITAL IMAGE WATERMARKING [PDF]
The efficiency of orthogonal transformations application in the frequency algorithms of the digital watermarking of still images is examined. Discrete Hadamard transform, discrete cosine transform and discrete Haar transform are selected.
Vladimir A. Batura +1 more
doaj
Simulating Quantum State Transfer Between Distributed Devices Using Noisy Interconnects
Noisy connections challenge future networked quantum computers. This work presents a practical method to address this by simulating an ideal state transfer over noisy interconnects. The approach reduces the high sampling cost of previous methods, an advantage that improves as interconnect quality gets better.
Marvin Bechtold +3 more
wiley +1 more source
On a New Class of Meromorphic Univalent Function Associated with Dziok_Srivastava Operator
In this paper, we introduce and study a new class of meromorphic Univalent functions deï¬ned by Dziok_Srivastava operator for this class. We obtain coefficient inequality, convex set, closure and Hadamard product (or convolution).Further we obtain a(n,δ
Mohammed Maad Mahdi +2 more
doaj +1 more source
On the Hadamard product of Hopf monoids
Combinatorial structures which compose and decompose give rise to Hopf monoids in Joyal's category of species. The Hadamard product of two Hopf monoids is another Hopf monoid. We prove two main results regarding freeness of Hadamard products.
Aguiar +7 more
core +2 more sources
Multi‐Channel Convolutional Neural Quantum Embedding
This study presents convolutional neural quantum embedding (CNQE), a framework for optimizing quantum data embeddings for multi‐channel data classification, grounded in quantum state discrimination and Fourier analysis of quantum circuits. CNQE is validated through proof‐of‐principle demonstrations on CIFAR‐10 and Tiny ImageNet, showing improved ...
Yujin Kim +4 more
wiley +1 more source
Entanglement Swapping for Partially Entangled Qudits and the Role of Quantum Complementarity
The entanglement swapping protocol is extended to partially entangled qudit states and analyzed through complete complementarity relations. Analytical bounds on the average distributed entanglement are established, showing how the initial local predictability and entanglement constrain the operational distribution.
Diego S. Starke +3 more
wiley +1 more source
On a New Class of Meromorphic Univalent Function Associated with Dziok_Srivastava Operator
In this paper, we introduce and study a new class of meromorphic Univalent functions deï¬ned by Dziok_Srivastava operator for this class. We obtain coefficient inequality, convex set, closure and Hadamard product (or convolution).Further we obtain a(n,δ
Waggas Galib Atshan +1 more
doaj +1 more source

