GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…Genetic algorithms optimize the hyperparameters, including learning rates and network architectures, while the attention mechanism enhances the model's ability to focus on relevant temporal patterns. …”
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Mobile Tourism Research and Practices: A Comprehensive Bibliometric Exploration and Future Study Direction by Syaifullah Syaifullah, Shamsul Arrieya Ariffin, Norhisham Mohamad Nordin

“… Even though mobile tourism analysis is developing, there is still a lack of literature regarding its formation patterns which makes the picture of its evolution incomplete. …”
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Image-Based Malware Detection Using Deep CNN Models by hawraa omran musa, Muhanad Tahrir Younis

“…Deep learning (DL) presents a promising strategy for malware detection by utilizing advanced algorithms that are capable of discerning intricate patterns from extensive datasets. This study presents a model based on deep learning with Convolutional Neural Network (CNN) for malware classification. …”
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Whole-brain functional connectivity identification of functional dyspepsia. by Jiaofen Nan, Jixin Liu, Guoying Li, Shiwei Xiong, Xuemei Yan, Qing Yin, Fang Zeng, Karen M von Deneen, Fanrong Liang, Qiyong Gong, Wei Qin, Jie Tian

“…Recent neuroimaging studies have shown local brain aberrations in functional dyspepsia (FD) patients, yet little attention has been paid to the whole-brain resting-state functional network abnormalities. The purpose of this study was to investigate whether FD disrupts the patterns of whole-brain networks and the abnormal functional connectivity could reflect the severity of the disease. …”
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Optimization of the construction scheme for coal-based synthetic natural gas export pipelines by Ye ZHANG, Shuiying XU, Yang ZHAO, Fengsheng WANG, Jia YANG, Bojun ZHANG, Liang MING, Weichao YU

“…This method effectively reduces the one-time pipeline investment costs and significantly contributes to optimizing the natural gas pipeline network from a supply chain perspective. Conclusion It is recommended to leverage the strengths of resource supply producers, pipeline network operators, distributors, and end users within a fair and open pipeline network operation mechanism.This approach will establish a continuous and stable supply-demand pattern for the coal-based SNG supply chain, improve the efficiency of resource upload pipelines, and enhance the risk manage ment and control capabilities of the pipeline network.…”
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Characteristics and Influence Mechanism of Cultural and Creative Enterprise Migration from the Amenity Perspective: A Case Study of Guangzhou by Liao Huihui, Wei Cheng, Luo Peng, Shen Jing

“…Research has shown the following: (1) Unlike the early evolution pattern of cultural and creative enterprises mainly gathering in the central area, and also different from the one-way migration path of manufacturing enterprises mainly transferring from the central area to the periphery, cultural and creative enterprises present more complex migration network relationships. …”
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Neuromuscular characteristics of transcranial direct current stimulation over dorsolateral prefrontal cortex in patients with chronic low back pain: a randomized, double-blind, con... by Xin Li, Wenzhao Liang, Zhicheng Li, Shijue Li, Yao Zu, Le Ge, Chuhuai Wang

“…Previous studies suggest that the number, structure, and network patterns of trunk muscle synergy may contribute to this condition. …”
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Extraction and location of subway shield tunnel segment joints from RMLS point clouds by Liying Wang, Ze You, Yong Feng, Chunxi Xie, Mahamadou Camara

“…However, traditional extraction methods can only extract segment joints of specific types (circumferential joints or radial joints) or specific assembly patterns (straight joints or staggered joints) and their extraction accuracy is easily affected by nearby tunnel facilities. …”
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Optimizing physical education schedules for long-term health benefits by Liang Tan, Qin Chen, Jianwei Wu, Mingbang Li, Tianyu Liu

“…The developed DL model integrates convolutional neural network (CNN) layers to capture spatial features and long short-term memory (LSTM) layers to extract temporal patterns from demographic and activity-related variables. …”
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Hidden in Plain Sight: A Data-Driven Approach to Safety Risk Management for Highway Traffic Officers by Loretta Bortey, David J. Edwards, Chris Roberts, Iain Rille

“…This research explores case study data from highway incident reports (held by National Highways, a UK government company) and employs deep neural network (DNN) in unearthing patterns which inform safety decision makers on pertinent safety challenges confronting HTOs. …”
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Federated hierarchical MARL for zero-shot cyber defense. by Adel Alshamrani

“…The zero-shot learning component allows the framework to recognize and response to previously unseen attack patterns through semantic mapping. Furthermore, the federated learning learning component facilitates for knowledge sharing across network domains while preserving data privacy, enabling collaborative defense without exposing sensitive information. …”
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Detection of venous thromboembolism by proteomic serum biomarkers. by Santhi K Ganesh, Yugal Sharma, Judith Dayhoff, Henry M Fales, Jennifer Van Eyk, Thomas S Kickler, Eric M Billings, Elizabeth G Nabel

“…Using this new method, we analyzed serum from inpatients undergoing radiographic evaluation for VTE. In a balanced cohort of 76 patients, a neural network-based prediction model was built using a training subset of the cohort to first identify proteomic patterns of VTE. …”
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A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection by Majid Joudaki, Mehdi Imani, Hamid R. Arabnia

“…To address these limitations, we propose a novel model combining a two-dimensional convolutional restricted Boltzmann machine (2D Conv-RBM) with a long short-term memory (LSTM) network. The 2D Conv-RBM efficiently extracts spatial features such as edges, textures, and motion patterns while preserving spatial relationships and reducing parameters via weight sharing. …”
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Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals by Mesfer Al Duhayyim

“…Furthermore, the ResNet50 model is employed for feature extraction to capture complex spatial patterns in visual data. For detecting indoor activities, an ensemble DL classifier contains three approaches: deep neural network (DNN), bidirectional long short-term memory (BiLSTM), and sparse stacked autoencoder (SSAE). …”
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Road‐Level Charging Gaps and Infrastructure Enhancements in Japan's Electric Vehicle Transition by Xiaoyan Xu, Yoshikuni Yoshida, Jiawei Yong, Shintaro Fukushima, Renhe Jiang, Yin Long

“…To address this challenge, we conduct a spatial evaluation of EV charger accessibility and assess strategies for optimizing network accessibility. …”
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DDD++: Exploiting Density map consistency for Deep Depth estimation in indoor environments by Giovanni Pintore, Marco Agus, Alberto Signoroni, Enrico Gobbetti

“…By leveraging the distinctive vertical and horizontal patterns found in man-made indoor environments, we propose a streamlined network architecture that incorporates gravity-aligned feature flattening and specialized vision transformers. …”
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UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…Results The ConvGAM model, leveraging the ConvNeXt-Large backbone network and the Global Attention Mechanism (GAM), achieves outstanding performance in feature extraction, crucial for detecting small and complex disease patterns. …”
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RB-TRNet: a regularity-guided and boundary-aware architecture for toponym recognition from Chinese text by Haigang Sui, Jindi Wang, Xining Zhang, Huihan Ning, Wentao Wang, Lieyun Hu

“…Then, two BiLSTM layers are fed with text representation sequences, with one processed sequence entering the toponym regularity-guided module to obtain the composition patterns of Chinese place name entities and the other sequence entering the toponym regularity-discriminant module to soften an excessive reliance on contextual information for recognizing patterns of Chinese place name entities. …”
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‘Too male, too pale, too stale’: a qualitative exploration of student experiences of gender bias within medical education by Megan E L Brown, Gabrielle M Finn, George E G Hunt, Ffion Hughes

“…Gender initiatives, like Athena Scientific Women’s Academic Network, also require large-scale evaluation regarding their impact, which this work found to be lacking.…”
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Well Performance from Numerical Methods to Machine Learning Approach: Applications in Multiple Fractured Shale Reservoirs by Kailei Liu, Boyue Xu, Changjea Kim, Jing Fu

“…The first method is the artificial neural network, through which we can analyze the big data from unconventional reservoirs to understand the underlying patterns and relationships. …”
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