Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities by Gong, Chaoyang, Qiao, Zhen, Zhu, Song, Wang, Wenjie, Chen, Yu-Cheng

“…Here, we experimentally demonstrate that the random dynamic behavior of strong light-matter interactions in complex biological structures can provide hidden information on optical coupling in a network. …”
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Computational intelligence-based time series forecasting by Du, Liang

“…The third paradigm proposes a graph ensemble deep random vector functional link network (GEdRVFL) for node-wise traffic forecasting. …”
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Social matching in complex social systems by Poh, Cleo

“…This project aims to create an Erdős–Rényi random network using the Stanford Network Analysis Platform(SNAP) and perform greedy matching algorithm with it to simulate social matching. …”
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Pemilihan kerjaya di kalangan pelajar aliran perdagangan sekolah menengah teknik : satu kajian kes by Minhat, Norhasyila

“…Thirty six form four students was chosen by using non-random sampling purpose method as respondent. All information was gather by using questionnaire. …”
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Pemilihan kerjaya di kalangan pelajar aliran perdagangan sekolah menengah teknik : satu kajian kes by Minhat, Norhasyila

“…Thirty six form four students was chosen by using non-random sampling purpose method as respondent. All information was gather by using questionnaire. …”
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HIN embedding learning by aspect for recommendation systems by Chen, Jieyi

“…Network representation learning is a graph-based machine learning task, and its applications have gradually spread throughout our daily lives. …”
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HubPPR: Effective Indexing for Approximate Personalized PageRank by Wang, Sibo, Tang, Youze, Xiao, Xiaokui, Yang, Yin, Li, Zengxiang

“…Personalized PageRank (PPR) computation is a fundamental operation in web search, social networks, and graph analysis. Given a graph G, a source s, and a target t, the PPR query Π(s, t) returns the probability that a random walk on G starting from s terminates at t. …”
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Retrospective techniques for segmentation of structural and functional MR brain images by Suresh Anand Sadananthan

“…We also show that incorporating intensity information into graph weight assignment can further improve performance. …”
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The cost of delay in disease response by Tan, Ming Xuan

“…This report details the process of simulating an Infectious Disease Model (SIR) on a random graph network. The SIR parameters used is arbitrary and does not reflect any real life infectious disease such as Covid-19. …”
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Fast Bayesian inference of Sparse Networks with automatic sparsity determination by Yu, Hang, Wu, Songwei, Xin, Luyin, Dauwels, Justin

“…It is therefore tempting to develop tuning-free algorithms that can determine the sparsity of the graph adaptively from the observed data in an automatic fashion. …”
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Overlapping decomposition for causal graphical modeling by Han, Lei, Song, Guojie, Cong, Gao, Xie, Kunqing

“…Causal graphical models are developed to detect the dependence relationships between random variables and provide intuitive explanations for the relationships in complex systems. …”
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The importance of implementation maintenance manual for residential building / Norfatihah Mohd Rusli by Mohd Rusli, Norfatihah

“…Then, the analysis of the data that was obtained was carried out by using the manual method with entering the information into the Microsoft Excel and generate a graph that relates for all parts of the questionnaire. …”
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Conduction mechanisms in Ti/HfOx/Pt resistive switching memory device by Tan, Kuan Hong

“…Conduction mechanisms of Ti/HfOx/Pt Resistive Random Access Memory (RRAM) were investigated in this work. …”
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Point cloud registration using deep learning and its application in odometry estimation by Zhou, Yuting

“…DCP maps the data into a high dimensional space, extracts the features by Dynamic Graph Convolution Neural Network(DGCNN) as well as the Transformer and finally uses SVD to calculate the rigid transformation. …”
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Non linear modelling and control of epileptic seizures by Ahmed Amir

“…The most common primary brain diseases characterized by the recurrence of seizures with unpredictable onsets is epilepsy. The random nature of seizure significantly affects the quality of life for people with epilepsy and although some causes of epilepsy are known, the majority of causes of epilepsy are still unknown. …”
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Regression test cases selection for object-oriented programs based on affected statement by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

“…This paper presents modification-revealing test case selection for regression testing of object-oriented software using dependence graph model analysis of the source code. The experimental evaluation of our proposed approach was done using nine programs. …”
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Guidance system based on Dijkstra-ant colony algorithm with binary search tree for indoor parking system by Mohammad Ata, Karimeh Ibrahim, Che Soh, Azura, Ishak, Asnor Juraiza, Jaafar, Haslina

“…However, the traditional Dijkstra’s is not accurate and need more time to perform the path in order it should visit all the nodes in the graph. In this paper, the Dijkstra-ant colony algorithm (ACO) with binary search tree (BST) has been proposed. …”
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Semi-supervised learning for visual relation annotation by Tajrobehkar, Mitra

“…However, we ar- gue that training the model with naive contrastive learning framework that using random intra-class and random non-target sequences as positive and negative examples is sub-optimal. …”
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Learning generalizable heuristics for solving vehicle routing problem under distribution shift by Jiang, Yuan

“…Especially, similar local patterns may distribute across graphs even if those graphs belong to different distributions. …”
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Application of statistical weather generators by Wang, Qin Yu

“…WeaGETS is a MATLAB-based versatile random day-to-day weather generator. It can produce everyday rainfall amount, the maximum and minimum temperature for one station for any length of time. …”
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