EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning by Waqas Ali, Wesam Alsabban, Muhammad Shahbaz, Ali Al-Laith, Bassam Almogadwy

“…Performance evaluation on the EchoNet-Dynamic dataset yielded a mean absolute error (MAE) of 3.7 and an R2 score of 0.82. …”
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Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

“…We consider regular-vine copula-based information fusion approaches across various combinations of these attributes resulting in different architectures, which are tested across different datasets. In particular, we consider three datasets which include a Monte Carlo simulations-based synthetic dataset, and publicly available automotive factory (AF) and open area test site (OATS) datasets from National institute of standards and technology (NIST). …”
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LiDAR and IMU Tightly Coupled Localization System Based on Ground Constraint in Flat Scenario by Man Yu, Keyang Gong, Weihua Zhao, Rui Liu

“…Verifications based on KITTI dataset show that the height positioning accuracy will be improved through introducing ground constraint factor and loop detection factor. …”
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The Compatibilization Effects of Alkylated-grafted-Graphene Oxide on Polypropylene/Polystyrene Blends by Yanping Hao, Xin Zhao, Jie Dong, Qinghua Zhang

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Different orthology inference algorithms generate similar predicted orthogroups among Brassicaceae species by Irene T. Liao, Karen E. Sears, Lena C. Hileman, Lachezar A. Nikolov

“…With our Brassicaceae dataset, slight discrepancies were found across the orthology inference algorithms, necessitating additional analyses such as tree inference to fine‐tune results.…”
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Multiview Machine Vision Research of Fruits Boxes Handling Robot Based on the Improved 2D Kernel Principal Component Analysis Network by Xinning Li, Hu Wu, Xianhai Yang, Peng Xue, Shuai Tan

“…The method of multiview two-dimensional (2D) recognition was adopted. A multiview dataset for fruits boxes was built. For the sake of the structure of the original image, the model of binary multiview 2D kernel principal component analysis network (BM2DKPCANet) was established to reduce the data redundancy and increase the correlation between the views. …”
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Expression and Secretion of CXCL-8 and CXCL-10 From <emph>Mycobacterium Bovis</emph> BCG-Infected Human Epithelial Cells: Role of IL-4

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Enhanced framework for ensemble effort estimation by using recursive‐based classification by Azath Hussain, Maheswari Raja, Pandimurugan Vellaisamy, Sangeetha Krishnan, Lakshminarayanan Rajendran

“…SEE methods are utilised to achieve the effort, cost and human resources with the assistance of the dataset. It is hard to predict the cost, effort, size and schedule consistently through SEE and hence it causes damage to software enterprises. …”
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Smart Defect Detection in Aero-Engines: Evaluating Transfer Learning with VGG19 and Data-Efficient Image Transformer Models by Samira Mohammadi, Vahid Rahmanian, Sasan Sattarpanah Karganroudi, Mehdi Adda

“…RandomSearchCV was used for hyperparameter optimization, and we selectively froze some layers during training to help better tailor the models to our dataset. We conclude that the difference in performance across all metrics can be attributed to the adoption of the transformer-based architecture by the DeiT model as it does this well in capturing complex patterns in data. …”
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PRC’s Public Diplomacy Practice in Central Asia: Current Situation, Challenges and Prospects by Yufei Wang

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Genomic exploration of pediatric neurological disorders: a case series by Naresh Tayade, Gautham Manoj, Akshay Kewat, Anjali Krishna A, Rajiv Devulapalli, Somesh Kumar, Sunil Kumar Polipalli, Bipin G. Nair, Obul Reddy Bandapalli, Prashanth Suravajhala

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Intelligent Transport Surveillance Memory Enhanced Method for Detection of Abnormal Behavior in Video by Deng-Hui Zhang

“…Experiments show that, on the dataset Avenue, the frame-level result of the method proposed is about 2% higher than that of the optimal ConvLSTM in the comparison method; on the Ped1 and Ped2 datasets, it is also about 3% higher than ConvLSTM. …”
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Supervised contrastive pre-training models for mammography screening by Zhenjie Cao, Zhuo Deng, Zhicheng Yang, Jie Ma, Lan Ma

“…Our extensive experiments on a large-scale dataset show that the supervised contrastive pre-training (SCP) can substantially improve the final model performance compared with the traditional direct supervised training approach. …”
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SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection by Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro

“…Next, we fine-tune the network by training it on a dataset of labeled surveillance videos, with a focus on optimizing the fusion process between the two architectures. …”
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Urologic Characteristics and Sexual Behaviors Associated with Prostate Cancer in an African-Caribbean Population in Barbados, West Indies by Anselm J. M. Hennis, Suh-Yuh Wu, Barbara Nemesure, M. Cristina Leske

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Dépôts et pratiques symboliques dans l’établissement aristocratique gaulois de Varennes-sur-Seine, la Justice (Seine-et-Marne) by Jean-Marc Séguier, Ginette Auxiette, Fabien Pilon

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Predicting the Number of Passengers in Public Transportation Areas Using the Deep Learning Model LSTM by Joko Siswanto, Sri Yulianto Joko Prasetyo, Sutarto Wijono, Evi Maria, Untung Rahardja

“…A deep learning-based LSTM prediction model is proposed to predict the number of passengers in 4 bus public transportation areas (central, north, south, and west), evaluated by MSLE, MAPE, and SMAPE with dropout, neuron, and train-test variations. The CSV dataset obtained from Auckland Transport(AT) New Zealand metro patronage report on bus performance(1/01/2019-31/07/2023) is used for evaluation. …”
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Identifying the determining factors of detonation properties for linear nitroaliphatics with high-throughput computation and machine learning by Wen Qian, Jing Huang, Shi-tai Guo, Bo-wen Duan, Wei-yu Xie, Jian Liu, Chao-yang Zhang

“…The HTC was performed based on 1725 sample molecules abstracted from a dataset of over 106 linear nitroaliphatics with 1- to 6-membered C backbones and three types of substituents, namely single nitro group (-NO2), nitroamine (-NNO2), and nitrate ester (-ONO2). …”
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Differential Intestinal Mucosa Transcriptomic Biomarkers for Crohn’s Disease and Ulcerative Colitis by Maria Dobre, Elena Milanesi, Teodora Ecaterina Mănuc, Dorel Eugen Arsene, Cristian George Ţieranu, Carlo Maj, Gabriel Becheanu, Mircea Mănuc

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SCoralDet: Efficient real-time underwater soft coral detection with YOLO by Zhaoxuan Lu, Lyuchao Liao, Xingang Xie, Hui Yuan

“…We evaluate SCoralDet on the Soft-Coral dataset, achieving an inference latency of 9.52 ms and an mAP50 of 81.9. …”
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