Revealing Spatiotemporal Urban Activity Patterns: A Machine Learning Study Using Google Popular Times by Mikel Barrena-Herrán, Itziar Modrego-Monforte, Olatz Grijalba

“…Extensive scientific evidence underscores the importance of identifying spatiotemporal patterns for investigating urban dynamics. The recent proliferation of location-based social networks (LBSNs) facilitates the measurement of urban rhythms through geotemporal information, providing deeper insights into the underlying causes of urban vibrancy. …”
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From Patterns to Predictions: Spatiotemporal Mobile Traffic Forecasting Using AutoML, TimeGPT and Traditional Models by Hassan Ayaz, Kashif Sultan, Muhammad Sheraz, Teong Chee Chuah

“…In this study, we examine publicly available CDR data from Telecom Italia to explore the spatiotemporal dynamics of mobile network activity in Milan. This analysis reveals key patterns in traffic distribution highlighting both high- and low-demand regions as well as notable variations in usage over time. …”
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EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis by Majid Roshanaei, Hamzeh Norouzi, Julie Onton, Scott Makeig, Alireza Mohammadi

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Decoding laying hen behavior and physiological status through acoustic biomarkers: temporal patterns, rooster-hen vocalization identification in group housing and environmental ada... by Xuanting Lin, Wanjun Zhu, Longshen Liu, Zhenlei Zhou

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Evaluation for Sortie Generation Capacity of the Carrier Aircraft Based on the Variable Structure RBF Neural Network with the Fast Learning Rate by Tiantian Luan, Mingxiao Sun, Guoqing Xia, Daidai Chen

“…It can establish a qualitative and quantitative evaluation model which is closer to human thought patterns. …”
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Accurate Reliability Evaluation Method and Weak Link Identification for Low-Voltage Distribution Networks That Considers User Demand Levels by Hao Bai, Yongqian Yan, Wei Li, Jingzhe Wang, Tong Liu, Yipeng Liu, Hao Wang, Wei Huang

“…The reliability of the power supply in low-voltage distribution networks plays a crucial role in efficient power system operation. …”
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<strong>Hybrid neural network with genetic algorithms for predicting distribution pattern of <em>Tetranychus urticae</em> (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Ir... by Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi Sohani

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Geographical analyses and artificial intelligence for the study of late medieval settlements in Southern Tuscany (Italy) by Luca Deravignone

“…This paper presents how Artificial Neural Networks (ANN), integrated in a GIS platform, has been used to analyse ancient settlement patterns, in particular fortified villages and medieval settlements in central Italy. …”
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Physics-Informed Deep Neural Network for Low Sidelobe Time-Modulated Antenna Array Synthesis With Harmonic Suppression by Tarek Sallam, Qun Wang, Ahmed M. Attiya

“…This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and maximum harmonics levels. …”
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Tunable All-Optical Pattern Recognition System Based on Nonlinear Optical Loop Mirror for Bit-Flip BPSK Targets by Ying Tang, Ziyi Kang, Xin Li, Ningjing Liang, Jinyong Chang, Genqing Bian

“…Meanwhile, as new technologies emerge, the security of optical networks is facing serious threats. To improve the security of optical networks, optoelectronic firewalls primarily leverage all-optical pattern recognition to perform direct detection and analysis of data transmitted through the optical network at the optical layer. …”
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Highly Accurate Brain Tumor Segmentation and Classification Using Multiple Feature Sets by Megha Sunil Borse, Murali Prasad R, Tummala Ranga Babu

“…The Deep Convolutional Network (DCNN) is used to segment the image. The Pulse Coupled Neural Networks (PCNN) categorize the input images as normal and tumor. …”
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Different Fish Farming Patterns in Paddy Fields Substantially Impact the Bacterial Community Composition, Stability, and Assembly Processes in Paddy Water by Yiran Hou, Rui Jia, Linjun Zhou, Liqiang Zhang, Bing Li, Jian Zhu

“…Partitioned rice–fish farming, an advancement of the traditional approach, addresses challenges such as difficulties in fish harvesting and the inconveniences of mechanized operations encountered in paddy fields. To evaluate the environmental impacts of partitioned rice–fish farming on the agricultural ecosystem, we investigated the impacts of partitioned rice–fish farming on the diversity, composition, functionality, co-occurrence networks, and assembly processes of bacterial communities within paddy water. …”
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Unequal relational travel patterns of long-distance rail trips between different levels of settlement hierarchies – Case study from Hungary by Vilmos Oszter, István Kövesdi, László Sipos

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Comparison of seam network morphology in coal reservoirs under different fracturing scales: A case of Yanchuannan CBM Gas Field by LIU Xiao

“…However, the morphology of the resulting fracture networks varies significantly. Inefficient old wells subjected to multiple medium-scale fracturing develop a “rose-shaped” fracture network with primary and secondary fractures, whereas new wells exhibit a “long elliptical” fracture pattern. …”
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Network analysis of adverse event patterns following immunization with mRNA COVID-19 vaccines: real-world data from the European pharmacovigilance database EudraVigilance by Renato Ferreira-da-Silva, Renato Ferreira-da-Silva, Mariana Fernandes Lobo, Ana Margarida Pereira, Ana Margarida Pereira, Manuela Morato, Manuela Morato, Jorge Junqueira Polónia, Jorge Junqueira Polónia, Inês Ribeiro-Vaz, Inês Ribeiro-Vaz

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Visual and automatic evaluation of the volume of lung damage on computer tomography with pneumonia caused by COVID-19 by P. M. Zelter, A. V. Kolsanov, S. S. Chaplygin, S. S. Pervushkin

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Graph Neural Network Classification in EEG-Based Biometric Identification: Evaluation of Functional Connectivity Methods Using Time-Frequency Metric by Roghaieh Ashenaei, Ali Asghar Beheshti Shirazi

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Modeling and Evaluating a Cache System in ICN Routers Using a Programmable Switch and Computers by Junji Takemasa, Yuki Koizumi, Toru Hasegawa

“…The evaluation shows that the proposed algorithms almost double the forwarding rate compared to a naive implementation without the proposed algorithms under realistic request patterns to data packets. …”
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Evaluating the impact of the Modifiable Areal Unit Problem on ecological model inference: A case study of COVID-19 data in Queensland, Australia by Shovanur Haque, Aiden Price, Kerrie Mengersen, Wenbiao Hu

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The quantity, quality and findings of network meta-analyses evaluating the effectiveness of GLP-1 RAs for weight loss: a scoping review by Michael Nunns, Samantha Febrey, Jill Buckland, Rebecca Abbott, Rebecca Whear, Alison Bethel, Kate Boddy, Liz Shaw, Jo Thompson Coon, GJ Melendez-Torres

“…Objectives We sought to identify the most recent network meta-analyses evaluating the effectiveness of glucagon-like peptide 1 receptor agonists for weight loss; critically appraise included network meta-analyses; provide an overview of the quality and findings of existing network meta-analyses, and identify any pertinent gaps in the evidence; and consider the value of updating the most recent, comprehensive and high-quality network meta-analyses. …”
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