Multi-Scale Network Analysis of Community-Based Senior Centers: Exploring the Intersection of Spatial Embeddedness and Accessibility in Nanjing, China by Zhixin Xu, Xiaoming Li

“…This study aims to address the research gap by investigating the spatial embeddedness of senior centers using Space Syntax methods and examining its influence on older people’s access patterns. Using a geo-behavioral dataset collected in Nanjing, China, we find that about 70% of the senior centers in the research area are embedded in highly localized settings with limited connections to global street networks, which significantly restricts the access of older people from wider spatial contexts. …”
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Hayai-Annotation: A functional gene prediction tool that integrates orthologs and gene ontology for network analysis in plant species by Andrea Ghelfi, Sachiko Isobe

“…This approach aims to improve the visualization of conserved biological processes and functions, highlight species-specific adaptations, and enhance the ability to infer the functions of uncharacterized genes by comparing edge patterns across species. To our knowledge, this is the first attempt to build a network using annotated OrthoDB orthologs and Gene Ontology terms (Molecular Function and Biological Process) as nodes, providing a comprehensive view of gene distribution and function in plant species. …”
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Papayafreshnet: a hybrid deep learning framework for non-destructive freshness classification of papayas using convolutional and transformer networks by Ayan Sar, Tanupriya Choudhury, Tanmay Sarkar, Ketan Kotecha

“…This article introduces PapayaFreshNet, an innovative deep learning network designed for the automatic categorization of papaya freshness through picture analysis. …”
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Adoption deep learning approach using realistic synthetic data for enhancing network intrusion detection in intelligent vehicle systems by Said A. Salloum, Tarek Gaber, Mohammed Amin Almaiah, Rami Shehab, Romel Al-Ali, Theyazan H.H Aldahyani

“…We created a diverse dataset involving 100,000 network flows, covering a wide array of benign, malicious, and anomalous traffic patterns, to thoroughly evaluate the detection capabilities of our proposed system. …”
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Cyber intrusion detection using ensemble of deep learning with prediction scoring based optimized feature sets for IOT networks by Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Vaishali H. Kamble

“…To capture temporal patterns effectively, our ensemble integrates Global Attention Long Short-Term Memory networks (GA-LSTMs), utilizing layered structures, residual connections, and attention mechanisms. …”
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Advanced music classification using a combination of capsule neural network by upgraded ideal gas molecular movement algorithm by Peiyan Chen, Jichi Zhang, Arsam Mashhadi

“…Traditional methods have struggled to accurately capture the complex patterns that differentiate one genre from another. …”
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Addressing unfamiliar ship type recognition in real-scenario vessel monitoring: a multi-angle metric networks framework by Jiahua Sun, Jiawen Li, Jiawen Li, Jiawen Li, Jiawen Li, Ronghui Li, Ronghui Li, Ronghui Li, Langtao Wu, Liang Cao, Liang Cao, Liang Cao, Liang Cao, Molin Sun, Molin Sun, Molin Sun

“…To address this challenge and enhance the model’s generalization ability and adaptability, a novel framework is presented, termed MultiAngle Metric Networks. The proposed framework incorporates ResNet as its foundation. …”
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Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features by Sunawar Khan, Tehseen Mazhar, Muhammad Amir Khan, Tariq Shahzad, Wasim Ahmad, Afsha Bibi, Mamoon M. Saeed, Habib Hamam

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Design of drain tube with cone to prevent frost accumulation of drainage hole in household refrigerators using artificial neural network by Suhwan Lee, Dongkuk Kang, Jinxing Fan, Sunghee Kang, Dong Kim, Eunseop Yeom

“…Experiments and computational fluid dynamics (CFD) simulations were conducted to investigate frost formation patterns and the effects of absolute humidity. To reduce the cost of evaluating design variations, an artificial neural network (ANN) was developed as a surrogate model trained on CFD data. …”
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An electrical load forecasting model based on a novel closed loop neural networks and interaction gain feature selection by Gholamreza Memarzadeh, Faezeh Amirteimoury, Hossein Noori, Farshid Keynia

“…A cascade ensemble approach is proposed, combining wavelet transform (WT), mutual information-interaction gain (MI-IG), and neural networks. This multi-step process begins with the wavelet transform, which decomposes the load data into distinct frequency components, allowing for a detailed analysis of underlying patterns. …”
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IoT-Driven Intelligent Energy Management: Leveraging Smart Monitoring Applications and Artificial Neural Networks (ANN) for Sustainable Practices by Azza Mohamed, Ibrahim Ismail, Mohammed AlDaraawi

“…The application allows for continuous energy monitoring via modern IoT devices and wireless sensor networks, while ANN-based prediction models evaluate consumption data to dynamically optimize energy use and reduce environmental effect. …”
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…Machine learning (ML) and deep learning (DL) have aided the classification and collection of patterns in data, foremost in the growth of AI methods employed in numerous haematology fields. …”
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Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks by Gleb Melshin, Anthony DiMaggio, Nadia Zeramdini, Michael MacKinley, Lena Palaniyappan, Alban Voppel

“…Static acoustic features show potential but often overlook time-varying acoustic cues that clinicians naturally evaluate—such as negative symptoms—during clinical interviews. …”
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Efficacy and safety of PCSK-9 inhibitors in patients with acute coronary syndrome: a systematic review and network meta-analysis by Guoying Kao, Chuan Chen, Ying Zhang, Yi Xu, Gang Xu

“…In subgroup analysis, Evolocumab produced greater LDL-C reductions, while Alirocumab showed a stronger trend toward MACE reduction, though not statistically significant (OR: 0.84; 95% CI: 0.68–1.03). Network meta-analysis confirmed these patterns but revealed no statistically significant differences between the two agents. …”
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Effect of different types of exercise on bone mineral density in postmenopausal women: a systematic review and network meta-analysis by Li Xiaoya, Zhu Junpeng, Xu Li, Zhang Haoyang, Fu Xueying, Wang Yu

“…This network meta-analysis aimed to evaluate and compare various exercise types with bone mineral density in PMW to identify the most effective types. …”
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Functional and Structural Network Alterations in HIV-Associated Asymptomatic Neurocognitive Disorders: Evidence for Functional Disruptions Preceding Structural Changes by Zhou Z, Gong W, Hu H, Wang F, Li H, Xu F, Li H, Wang W

“…Graph-theoretical analysis was employed to assess inter-group differences in global metrics, nodal characteristics, and functional-structural coupling patterns. Furthermore, machine learning classifiers were used to construct and evaluate classification models based on imaging features from both groups. …”
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Object Detection for Autonomous Logistics: A YOLOv4 Tiny Approach with ROS Integration and LOCO Dataset Evaluation by Souhaila Khalfallah, Mohamed Bouallegue, Kais Bouallegue

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Evaluation of the cold island effect of the urban parks in the main urban area of Wuhan from the perspective of supply and demand by Jufang Song, Yongxuan Qiao, Yihan Liu

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The Impact of Nature Reserves on the Ecological Network of Urban Agglomerations—A Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River by Weidi Li, Xiaoxu Liang, Anqiang Jia, John Martin

“…Finally, a comparison of the effectiveness of the four ecological networks is conducted using 12 landscape pattern metrics. …”
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Exploring the Spatial Distribution Characteristics and Correlation Factors of Wayfinding Performance on City-Scale Road Networks Based on Massive Trajectory Data by Jun Li, Yan Zhu, Zhenwei Li, Wenle Lu, Yang Ji, Xiao Sang

“…This paper proposes a quantitative and population-based evaluation method of wayfinding performance on city-scale road networks based on massive trajectory data. …”
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