Study of the interval width of features for improving forecasting efficiency of the transport flow intensity by I. N. Pugachev, N. G. Sheshera, D. Yе. Grigorov

“…The complicated system of characteristic interaction between the Driver-Car-Road-Environment (DCRE) is the research subject for the scientists around the world. …”
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Study on the mechanisms associating community outdoor public spaces with elderly behavior by Lei Wang, Wenqi He, Shan Wu, Bo Zhang, Xiaorui Zhang, Hu Yin

“…Abstract As the global population ages, enhancing community outdoor public spaces to accommodate the needs of senior citizens has emerged as a critical challenge. This research delves into the intricate relationship between community outdoor public spaces and the behavioral patterns of the elderly, seeking to inform strategies for optimizing these spaces. …”
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Holiday ride-hailing at intercity transfer hubs: Where space squeezes and time stretches by Zhuonan Jiang, Tianqi Gu, Zhuo Chen, Hua Liang, Jiao Jiao, Han Li

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Global intraspecific diversity of marine forests of brown macroalgae predicted by past climate conditions by Eliza Fragkopoulou, Ester A. Serrão, Olivier De Clerck, Jorge Assis

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The Evolution of the Idiolect over the Lifetime: A Quantitative and Qualitative Study of French 19th Century Literature by Olga Seminck, Philippe Gambette, Dominique Legallois, Thierry Poibeau

“…We report some remarkable stylistic constructions revealed by our algorithm to illustrate which kind of stylistic patterns can be extracted using our method.…”
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Modified Maintenance Network Model for Urban Rail Transit Systems Based on the Variable Coverage Radius: Evidence from Changchun City in China by Yuan Jiang, Baofeng Sun, Lili Zheng, Wankun Cui, Xinhua Mao

“…Therefore, a BBO algorithm is implemented with combinatorial optimization programming. …”
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Comorbidities associated with fetal alcohol spectrum disorders in the United States by Brandon K. Attell, Angela B. Snyder, Claire Coles, Julie Kable

“…Employing a novel unsupervised machine learning algorithm applied to a nationally representative hospital discharge database, we found 57 distinct comorbidities that frequently occurred among FASD cases, in addition to a set of 144 complex overlapping comorbidity patterns. …”
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The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China by Hui Zhu, Kaiqi Zhang, Changjun Wang, Lujin Jia, Siyu Song

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Identification of Factors Causing Land Cover Change in the Cikapundung Watershed by A. B. Harto, A. B. Harto, R. Virtriana, R. Virtriana, R. J. Kusuma, I. K. C. Reynaldi, A. Q. Karima, A. A. Kuntoro

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Ontology-based semantic data interestingness using BERT models by Abhilash CB, Kavi Mahesh, Nihar Sanda

“…The COVID-19 pandemic has generated massive data in the healthcare sector in recent years, encouraging researchers and scientists to uncover the underlying facts. …”
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Optimizing Zakat Distribution with GIS and Data Mining in Community Empowerment at BAZNAS Deli Serdang by Sinta Dara Efita, Triase Triase

“…This research aims to develop an information system that utilizes Geographic Information System technology to map and analyze the distribution of zakat effectively in Deli Serdang Regency. …”
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ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks by Qiang Wu, Baixue Zhu, Binbin Yong, Yongqiang Wei, Xuetao Jiang, Rui Zhou, Qingguo Zhou

“…In this paper, we propose ClothGAN, which is an innovative framework for “designing” new patterns and styles of clothes based on generative adversarial network (GAN) and style transfer algorithm. …”
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The Implementation of Machine Learning in Lithofacies Classification using Multi Well Logs Data by Sudarmaji Saroji*, Ekrar Winata, Putra Pratama Wahyu Hidayat, Suryo Prakoso, Firman Herdiansyah

“…The support vector machine (SVM) algorithm has been applied successfully to the Damar field, Indonesia. …”
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Comparison of Manhattan and Chebyshev Distance Metrics in Quantum-Based K-Medoids Clustering by Solikhun Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi, Deny Kurniawan

“…This technology offers the potential to solve complex problems at exponentially faster speeds than classical computers. In this study, researchers applied the K-Medoids clustering algorithm, calculated using quantum-based equations. …”
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Design and Dimension Optimization of Rigid–Soft Hand Function Rehabilitation Robots by Rui Zhang, Meng Ning, Yuqian Wang, Jun Yang

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Identification of surface thermal environment differentiation and driving factors in urban functional zones based on multisource data: a case study of Lanzhou, China by Yixuan Wang, Yixuan Wang, Shuwen Yang, Shuwen Yang, Shuwen Yang

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Multidimensional Evaluation Framework and Classification Strategy for Low-Carbon Technologies in Office Buildings by Hongjiang Liu, Yuan Song, Yawei Du, Tao Feng, Zhihou Yang

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Quantifying influence of rainfall events on outdoor thermal comfort in subtropical dense urban areas by Chih-Hong Huang, Ching-Hsun Wang, Shih-Han Chen

“…Using a k-means clustering algorithm, we quantified the relationships between meteorological factors and apparent temperature as well as physiological equivalent temperature in different rainfall scenarios.The results indicate that rainfall in the summers of subtropical oceanic climates indeed influence outdoor thermal comfort in urban areas: 37.7% of the rainfall weather patterns improved thermal comfort and 62.3% of the rainfall weather patterns reduced thermal comfort. …”
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A digital twin-enabled fog-edge-assisted IoAT framework for Oryza Sativa disease identification and classification by Goluguri N.V. Rajareddy, Kaushik Mishra, Satish Kumar Satti, Gurpreet Singh Chhabra, Kshira Sagar Sahoo, Amir H. Gandomi

“…This model is further refined by including Quaternion convolution layers, which enhance colour information processing, and Atrous convolution layers, which improve depth perception, particularly in extracting disease patterns. To boost the model's predictive accuracy, the Chaotic Honey Badger Algorithm (CHBA) is employed to optimize the CNN hyperparameters, resulting in an impressive average accuracy of 93.5 %. …”
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HEDL: Deep learning multiple approaches for early detection of depression using sarcastic text by Vanita Kshirsagar, Nishant Pachpor, Ashwini Brahme, Ravindra Aapre, Shubhangi Suryawanshi, Digvijay Bhosale

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