A Review of the Potential of Drone-Based Approaches for Integrated Building Envelope Assessment by Shayan Mirzabeigi, Ryan Razkenari, Paul Crovella

“…Drone-based approaches to data collection offer a great opportunity for the analysis and inspection of existing building stocks, enabling architects, engineers, energy auditors, and owners to document building performance, visualize heat transfer using infrared thermography, and create digital models using 3D photogrammetry. …”
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Addressing Cognitive Bias in Adolescents with Neurodevelopmental Disorders Using 3-D Animated Serious Games by Suzanne Stewart, Stephen John Houghton, Leslie Macqueen

“…However, when these interrupted time series data were analyzed statistically, significant individual improvements were evident. …”
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Estimation of Welding Current with Adaptive Neuro Fuzzy Inference System (ANFIS): Utilization of Arc Light Signal Emitted in the Arc Welding Process by Yalçın Kanat, Yaşar Birbir, Gazi Büyüktaş

“…For this purpose, initially, a data acquisition system is designed to synchronize the movement of the light sensor with the electrode holder. …”
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Practical use of radiomic features as a metric for image quality discrimination in [18F] FDG-PET: a pilot study by Jane Burns, Hannah O’Driscoll, Eamon Loughman

“…To facilitate the comparison of radiomic features and radiologist scoring data, normalisation was performed on both data sets. …”
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The role of personalization in influencing digital trust and impulse buying in e-commerce by David R. Hayrapetyan, Syuzi H. Darbinyan

“…The study implemented a survey method using a structured online questionnaire distributed using a simple random sampling method. Statistical data processing included cluster analysis, Pearson’s Chi-Square test, and graphical visualizations to identify trends. …”
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Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept. by Tony C Lee, Matthias Ziegler

“…Nonverbal visual cues (5,460 data points following data augmentation) were extracted from the participants' video presentations in form of sequences of images for training a transfer learning model designated as Entrans. …”
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Quantitative Comparison of Geographical Color of Traditional Village Architectural Heritage Based on K-Means Color Clustering—A Case Study of Southeastern Hubei Province, China by Li Dong, Meiqi Kang

“…In this study, the architectural heritage of four traditional villages of the Ming and Qing dynasties in the southeastern region of Hubei Province is taken as the research object, the K-means clustering algorithm is used to quantify the color data of the architectural heritage, and the HSV color space is used to analyze the distribution characteristics of the color data and to excavate the uniqueness of its colors and the regional characteristics. …”
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Gradient boosting for yield prediction of elite maize hybrid ZhengDan 958. by Oumnia Ennaji, Sfia Baha, Leonardus Vergutz, Achraf El Allali

“…Our approach includes comparing multiple machine learning algorithms, developing and selecting suitable features, fine-tuning the models by training and adjusting the hyperparameters, and visualizing the results. Using a recent dataset of over 1700 maize yield data pairs, our evaluation included a spectrum of algorithms. …”
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Assessing compatibility of clayey soils using state variables for sustainable DMM in Saga Lowland, Kyushu, Japan by Kimihiro Mitsuse, Ryota Nakao, Mathiro José Sindete, Takenori Hino, Tri Harianto

“…Engineers may struggle to visualize soil behavior from geotechnical borehole survey data from structural viewpoint. …”
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Inter-agency collaboration to support the COVID-19 response and maintain malaria services in Guinea and Sierra Leone: A social network analysis. by Lukas Feddern, Ibrahima Kaba, Hanna-Tina Fischer, Brogan Geurts, Habibata Balde, Andrea Bernasconi, Vitali Merhi, Rike Böttcher, Karim Dumbuya, Francisco Pozo-Martin, Thurid Bahr, Sara Menelik-Obbarius, Karoline Stein, Abdul Karim Mbawah, Alexandre Delamou, Heide Weishaar, Charbel El-Bcheraoui

“…Results from the thematic analysis of key informant interviews were used to contextualize the social network data, which was visualized as sociograms. We found that malaria stakeholders worked closely with key stakeholders involved in containing the COVID-19 pandemic. …”
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The Role of Electrical Stimulation in Management of Retinal and Optic Nerve Degenerative and Dystrophic Disorders. Literature Review by L. S. Pateyuk, A. K. Drakon, V. M. Sheludchenko, N. B. Korchazhkina

“…This article presents actual data on the retinal and optic nerve electrical stimulation. …”
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SC-CoSF: Self-Correcting Collaborative and Co-Training for Image Fusion and Semantic Segmentation by Dongrui Yang, Lihong Qiao, Yucheng Shu

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Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network by Kun Han, Tieliang Wang, Wenhe Liu, Chunsheng Li, Xiaochen Xian, Yingying Yang

“…In this study, actual engineering projects are selected as case studies, utilizing material price data from January 2016 to February 2021 in Liaoning Province, along with real project data for modeling purposes. …”
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Prevalence of Cognitive Impairment and Risk Factors among Elderly in Rawalpindi, Pakistan: A cross-Sectional study by Hafsah Gul Khattak, Hafsah Arshad, Kinza Anwar, Muhammad Qasim Ali

“…After getting approval from the ethical committee, data was collected using a semi structured questionnaire. …”
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PERANCANGAN STRATEGI ONLINE MARKETING BERBASIS MEDIA SOSIAL PADA PERUSAHAAN EIDEN by Janice Agnes

“…Hasil analisis data menunjukkan bahwa Instagram akan menjadi media utama pemasaran karena produk Eiden dapat lebih ditonjolkan dengan fitur visual dan alat promosi di Instagram, sedangkan Facebook akan menjadi media pendukung brand awareness dan menjaga costumers relationship. …”
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A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans. by Samuel Planton, Timo van Kerkoerle, Leïla Abbih, Maxime Maheu, Florent Meyniel, Mariano Sigman, Liping Wang, Santiago Figueira, Sergio Romano, Stanislas Dehaene

“…While a simpler transition probability model, when tested as a single predictor in the statistical analyses, accounted for significant variance in the data, the goodness-of-fit with the data significantly improved when the language-based complexity measure was included in the statistical model, while the variance explained by the transition probability model largely decreased. …”
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Application of LiDAR and SLAM Technologies in Autonomous Systems for Precision Grapevine Pruning and Harvesting by Obaid Saif, Mohammed G., Nagaraju Krishna Chythanya

“…RGB-D cameras capture visual and depth information of grapevines and fruits, while CNNs process this data to classify different vines and grapes, enabling focused pruning and harvesting decisions. …”
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Fuzzy Linear Programming for Economic Planning and Optimization: A Quantitative Approach by Mohammad Anber Abraheem Shlash, Nijalingappa Yogeesh, Mohammad Suleiman Ibrahim Shelash, Natarajan Raja, Lingaraju Lingaraju, Vasudevan Asokan, Alshurideh Muhammad Turki

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Childhood autism associated with neurological manifestations and corpus callosum hypoplasia: literature review and clinical cases by O. A. Komissarova, O. A. Milovanova, G. G. Avakyan, S. V. Bugriy

“…Full text data from scholarly journals were used for the review. …”
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Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks by Ankur Bhatt, Ko Watanabe, Jayasankar Santhosh, Andreas Dengel, Shoya Ishimaru

“…Our study involved a diverse group of thirteen participants (N=13), each of whom viewed and provided responses to seven distinct videos, generating eye-tracking data that was subsequently analyzed to gain insights into their visual attention and behavior. …”
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