Results 111 to 120 of about 9,253 (248)

On Normalized Signless Laplacian Resolvent Energy

Kragujevac Journal of Mathematics
Summary: Let \(G\) be a simple connected graph with \(n\) vertices. Denote by \(\mathcal{L}^+(G) =D(G)^{-1/2}Q(G) D(G)^{-1/2}\) the normalized signless Laplacian matrix of graph \(G\), where \(Q(G)\) and \(D(G)\) are the signless Laplacian and diagonal degree matrices of \(G\), respectively. The eigenvalues of matrix \(\mathcal{L}^+(G)\), \(2=\gamma_1^+
Altindağ, Ş. B. Bozkurt, Milovanović, I., Milovanović, E., Matejić, M.   +3 more
openaire   +2 more sources

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

SmartBot, EarlyView.
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han, Zheng Wang, Tianyu Wang, Jialin Meng   +3 more
wiley   +1 more source

Alkali Chalcogenido Dialuminates A6[Al2Q6] (A = K, Rb, Cs; Q = S, Se, Te)

Zeitschrift für anorganische und allgemeine Chemie, EarlyView.
Seven new alkali chalcogenido aluminates A6[Al2Q6] (A = K‐Cs, Q = S‐Te) complement the family of simple metallates(III) A6[M2Q6] (M = Al‐In, FeIII) with dinuclear anions of two edge sharing [AlQ4] tetrahedra. Despite the similar anions, straightforward bonding situation and physical properties, these metallates crystallize in seven different structure ...
Michael Schwarz, Vincent Daiber, Caroline Röhr   +2 more
wiley   +1 more source

Image Quality Assessment for Performance Evaluation of Focus Measure Operators [PDF]

Mehran University Research Journal of Engineering and Technology, 2015
This paper presents the performance evaluation of eight focus measure operators namely Image CURV (Curvature), GRAE (Gradient Energy), HISE (Histogram Entropy), LAPM (Modified Laplacian), LAPV (Variance of Laplacian), LAPD (Diagonal Laplacian), LAP3 ...
Farida Memon, Mukhtiar Ali Unar, Sheeraz Memon   +2 more
doaj  

Dy2 Schiff Base Single Molecule Magnet Forming a Halogen Bonding Network: Experiment and Theory

Zeitschrift für anorganische und allgemeine Chemie, EarlyView.
A major challenge to improve SMMs is control over phonon‐based relaxation mechanisms, such as the Raman process. We approach this challenge through the incorporation of intermolecular interactions, which can restrict acoustic phonon modes. For this, we engineer the crystal lattice of a Dy2 SMM using halogen bonding and investigate its properties using ...
Jonas Braun, Christian F. Pachl, Michael Schulze, Jinkui Tang, Wolfgang Wernsdorfer, Christopher E. Anson, Karin Fink, Annie K. Powell   +7 more
wiley   +1 more source

Evaluation of Home Loan Candidates Using Energy and Laplacian Energy in Hesitancy Fuzzy Zagreb Matrices

مجلة بغداد للعلوم
A hesitancy fuzzy graph is a type of generalized fuzzy graphs that reflects reluctance or uncertainty in interactions by assigning a variety of potential membership values rather than a single value to each vertex and edge.
A. Abinaya, G. Deepa
doaj   +1 more source

Isolation and Structural Elucidation of the Pnictogen Polysulfate Compounds As2[S2O7]2[S3O10] and [SeCl3][Pn(S2O7)2] (Pn = Sb, Bi)

Zeitschrift für anorganische und allgemeine Chemie, EarlyView.
The isolation and solid‐state structures of the two disulfate‐containing pnictogenates [SeCl3][Pn(S2O7)2] (Pn = Sb, Bi), as well as the mixed‐anionic As2[S2O7]2[S3O10] are presented. The former two consist of complex ∞1{[Pn(S2O7)1/1t(S2O7)2/2e]‐}$$ {\infty }^{1}\left\{{\left[\mathrm{Pn}{\left({\mathrm{S}}_{2}{\mathrm{O}}_{7}\right)}_{1/1}^{\mathrm{t}}{\
Jan Langwald, Luisa Ebels, Marios Symeonidis, Jörn Bruns, Antonio Frontera, Mathias S. Wickleder   +5 more
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source