Facial dominance overrides gender in children’s stereotypes about intelligence by Ryno Kruger, Stella F. Lourenco

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Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10) by Emmanuel Gbenga Dada, David Opeoluwa Oyewola, Stephen Bassi Joseph, Onyeka Emebo, Olugbenga Oluseun Oluwagbemi

“…Many of these studies have good performance on datasets of images taken under controlled conditions, but they fall short on more difficult datasets with more image diversity and incomplete faces. …”
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Effect of Malathion on Reproductive Parameters of Engorged Female Rhipicephalus (Boophilus) microplus Ticks of Punjab Districts, India by Jyoti, N. K. Singh, Harkirat Singh, S. S. Rath

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Thyroid Autoimmunity and Behçet’s Disease: Is There a Significant Association? by Filiz Cebeci, Nahide Onsun, Ayşe Pekdemir, Ahmet R. Uras, Kadir Kayataş

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Cross-Attention Fusion of Visual and Geometric Features for Large-Vocabulary Arabic Lipreading by Samar Daou, Achraf Ben-Hamadou, Ahmed Rekik, Abdelaziz Kallel

“…Experimental results on both the LRW-AR and LRW datasets demonstrate the effectiveness of our approach, achieving accuracies of 85.85% and 89.41%, respectively.…”
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Unconfined Compressive Strength Prediction of Rocks Using a Novel Hybrid Machine Learning Algorithm by Rafiqul Islam, Md. Arif Hossain

“…The SVSH (SVR+SO) and SVCO (SVR+COOT) models were developed and evaluated using a comprehensive dataset of rock samples with UCS measurements. Comparative analysis demonstrates that the proposed models not only achieve significantly higher prediction accuracy but also exhibit faster convergence compared to standalone SVR. …”
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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

“…The STGCN-LSTM model captures complex spatiotemporal dependencies, achieving an R2 of 0.904 on the METR-LA dataset. Extensive experiments and ablation studies highlight the complementary strengths of STGCN and LSTM, with the hybrid model outperforming standalone variants. …”
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Learning From High-Cardinality Categorical Features in Deep Neural Networks by Mustafa Murat Arat

“…Therefore, in an early stage of modelling, feature engineering is required when categorical variables present in the dataset. As a result, we must encode those attributes into an appropriate feature vector. …”
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Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…Contemporary artificial intelligence technologies have emerged as the predominant tools for customer segmentation, owing to their robust capabilities in analyzing complex datasets and extracting profound customer insights. …”
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Genetic Diversity in Passiflora Species Assessed by Morphological and ITS Sequence Analysis by Shiamala Devi Ramaiya, Japar Sidik Bujang, Muta Harah Zakaria

“…The group consisted of cultivars of P. edulis with high levels of genetic similarity; in contrast, P. foetida was highly divergent from other species in the morphological biplots. The final dataset of aligned sequences from nine studied Passiflora accessions and 30 other individuals obtained from GenBank database (NCBI) yielded one most parsimonious tree with two strongly supported clades. …”
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Visual Question Answering in Robotic Surgery: A Comprehensive Review by Di Ding, Tianliang Yao, Rong Luo, Xusen Sun

“…Current limitations, including dataset scarcity, multimodal alignment challenges, and issues of interpretability, are critically examined. …”
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Keratoconus disease classification with multimodel fusion and vision transformer: a pretrained model approach by Shokufeh Yaraghi, Toktam Khatibi

“…These models have been trained on large datasets and have demonstrated strong performance in various computer vision tasks.The extracted features from the three pretrained models were fused using a feature fusion technique. …”
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A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction by Jiangeng Li, Xingyang Shao, Rihui Sun

“…The MTL-DBN-DNN model is evaluated with a dataset from Microsoft Research. Comparison with multiple baseline models shows that the proposed MTL-DBN-DNN achieve state-of-art performance on air pollutant concentration forecasting.…”
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The Adrenal Gland Volume Measurements in Manifestation of the Metabolic Status in Type-2 Diabetes Mellitus Patients by Ismail Serifoglu, Ibrahim Ilker Oz, Muammer Bilici

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Enhanced defect sensing technology in turbid water environments using multi-beam sonar by Wenhui Wang, Yikai Li, Rufei He, Yao Li

“…We categorize the target image recognition dataset following specific guidelines and devise a target image imaging model customized for the distinct characteristics of turbid water settings. …”
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Plectranthias raki (Teleostei, Serranidae), a new species of perchlet from mesophotic coral ecosystems of the Maldives by Bart Shepherd, Hudson T. Pinheiro, Ahmed Najeeb, Claudia R. Rocha, Luiz A. Rocha

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The Impact of Parasitic Infestation on Nutritional Status and Micronutrients among Children by Usama M. Alkholy, Sherief M. El Gebaly, Walaa E. M. A. Morsi, Waleed E. Elawamy, Samia E. Etewa, Asmaa M. Yousef

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AHNAK2: a potential diagnostic biomarker for pancreatic cancer related to cellular motility by Mohamed Zardab, Barts Pancreas Tissue Bank, Richard P. Grose, Hemant M. Kocher

“…In silico analysis of published human sample datasets (n = 177) and ex vivo analysis of human plasma samples (n = 30 PDAC with matched 30 healthy control) suggested AHNAK2 could be a diagnostic biomarker. …”
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Risky behaviours and injuries amongst Catalan children with ADHD: does pharmacological treatment improve outcomes? by Toni Mora, Rowena Jacobs, Jordi Cid, David Roche

“…Methods We use a large administrative dataset for the whole population of Catalan children in Spain who were born between 1998 and 2012. …”
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Inference of a Susceptible–Infectious stochastic model by Giuseppina Albano, Virginia Giorno, Francisco Torres-Ruiz

“…Finally, we applied the estimation procedure to a real dataset.…”
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