Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

“…Additionally, metrics, such as precision, recall, and F1-score, are used to evaluate the effectiveness of the hybrid approach in capturing latent factors and patterns. …”
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Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction by Chenxi Wang, Weiwei Zhang, Ming Ni, Qiong Wang, Chang Liu, Linbin Dai, Mengguo Zhang, Yong Shen, Feng Gao

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The Expression Pattern of Prostaglandin-Endoperoxide Synthase-2 in Immature Oocytes and Surrounding Cumulus Cells May Explain A Disrupted Oocyte Maturation Process by Goktan Kuspinar, Berrin Avcı

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Evaluation of multi-source precipitation products for monitoring drought across China by Yongyi Yuan, Boyi Liao

“…By applying various drought and evaluation indices across various timescales, this analysis captures short and long-term climate variations, assessing each product’s accuracy across diverse regions. …”
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Impact of Geopolitical and International Trade Dynamics on Corporate Vulnerability and Insolvency Risk: A Graph-Based Approach by Yu Zhang, Elena Sánchez Arnau, Enrique A. Sánchez Pérez

“…Through the integration of data from sources such as the World Trade Organization, national customs, and international relations research centers, a quantitative, exploratory, and descriptive approach based on graph theory, random forest, multivariate regression models, and neural networks is developed. This quantitative system makes it possible to identify patterns of risk propagation and to evaluate the degree of vulnerability of each country according to its commercial and financial structure. …”
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The spatial correlation network evolution and influencing factors of industrial carbon emission efficiency in China by Zeni Wang, Xinmei Wang, Zhipeng Fan, Ciran Feng, Xiaoling Qiu, Wei He

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A Representation-Learning-Based Graph and Generative Network for Hyperspectral Small Target Detection by Yunsong Li, Jiaping Zhong, Weiying Xie, Paolo Gamba

“…To address these issues, this work proposes a representation-learning-based graph and generative network for hyperspectral small target detection. …”
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Formulating a Blue Ocean Strategy in the Banking Services Industry: Enhancing Customer Satisfaction through Improved Demand Fulfillment and Presenting an Optimal Pattern by Manuchehr Ghanbari, Ali Sabzali Yameqani, Yousef Rabbani, Kobra Sabzali Yamaqani

“…Additionally, it endeavors to achieve an optimal pattern through the utilization of optimization techniques.   …”
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Providing a model of purchase intention and customer experience on customer behavior in virtual networks by Kazem Tolooee, Hossein budaghi Khajeh Noubar, Hossein Gharehbiglo, Mojtaba Ramazani

“…The collection tool in this research includes a questionnaire of purchase intention pattern based on customers' experience in designed virtual networks. …”
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Synergized security framework: revolutionizing wireless sensor networks through comparative methodological analysis by Guodong Su, Boliang Zhang

“…Finally, comprehensive evaluations using OMNeT++ with networks of 1–500 nodes demonstrate that our framework outperforms existing protocols (LEAP, SPINS, ESK) by 17–32% in network throughput and 12–26% in node connectivity, while maintaining comparable latency to quantum-based methods (QKD, BB84). …”
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An efficient emerging network and secured hopping scheme employed over the unsecured public channels by Aamir Shahzad, Kaiwen Zhang, René Landry, Neal Xiong, Young-Gab Kim

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Brain Network Alterations in Chronic Spinal Cord Injury: Multilayer Community Detection Approach by Farzad V. Farahani, Lukman E. Ismaila, Cristina L. Sadowsky, Haris I. Sair, Li Min Chen, Visar Belegu, James J. Pekar, Martin A. Lindquist, Ann S. Choe

“…Cortical reorganization, in particular, can be evaluated through network (graph) analysis of interregional functional connectivity. …”
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Wordline Input Bias Scheme for Neural Network Implementation in 3D-NAND Flash by Hwiho Hwang, Gyeonghae Kim, Dayeon Yu, Hyungjin Kim

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Synergistic Enhancement of Carbon Sinks and Connectivity: Restoration and Renewal of Ecological Networks in Nanjing, China by Renfei Zhang, Hongye Li, Zhicheng Liu

“…This study used Nanjing, China, as a case to construct an ecological network by applying Morphological Spatial Pattern Analysis (MSPA) and the Linkage Mapper (LM) tool based on circuit theory. …”
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The Impact of Microscopic Pore Network Characteristics on Movable Fluid Properties in Tight Oil Reservoir by Jie Gao, Hu Wang, Xiaojun Ding, Qingxiao Yuchi, Qiang Ren, Bo Ning, Junxiang Nan

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A Multifrequency Brain Network-Based Deep Learning Framework for Motor Imagery Decoding by Juntao Xue, Feiyue Ren, Xinlin Sun, Miaomiao Yin, Jialing Wu, Chao Ma, Zhongke Gao

“…We propose a novel multifrequency brain network-based deep learning framework for motor imagery decoding. …”
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Dual orexin receptor antagonists for the treatment of insomnia: systematic review and network meta-analysis by Rebeka Bustamante Rocha, Fernanda Ferreira Bomtempo, Gabriela Borges Nager, Giulia Isadora Cenci, João Paulo Mota Telles

“…Objective To perform a network meta-analysis to evaluate the efficacy of different DORAs in patients with chronic insomnia. …”
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Enhancing agricultural sustainability with water and crop management strategies in modern irrigation and drainage networks by Seyedeh-Zohreh Hashemi, Abdullah Darzi-Naftchali, Fatemeh Karandish, Henk Ritzema, Karim Solaimani

“…This study investigated the potential for enhancing the sustainability of agricultural production in a modern irrigation and drainage network (TIDN) area and evaluated the network's performance under various strategies. …”
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Combining Style Transfer in a Frame with Random Rotation Using Convolutional Neural Networks by Mahdi Musa Semnani, Kourosh Kiani

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2D Spatiotemporal Hypergraph Convolution Network for Dynamic OD Traffic Flow Prediction by Cheng Fang, Li Wang

“…Initially, temporal characteristics of traffic flow between OD pairs are captured using a 1D convolution neural network (1D-CNNs). Subsequently, a 2D hypergraph convolutional network is introduced to uncover spatial correlations in OD flow patterns. …”
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