Interactive trajectory prediction for autonomous driving based on Transformer by R. Xu, J. Li, S. Zhang, L. Li, H. Li, G. Ren, X. Tang

“…Eventually, substantial experiments with the Argoverse dataset will demonstrate improved trajectory accuracy, with the minimum average displacement error (MADE) and minimum final displacement error (MFDE) being reduced by 12 % and 31 %, respectively.…”
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Marcher, créer, révéler by Sophie Goupille

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Seismic Vulnerability Assessment of Reinforced Concrete Educational Buildings Using Machine Learning Algorithm by Tapan Kumar, Mohammad Al Amin Siddique, Raquib Ahsan

“…The main concept is the utilization of RVA data to obtain analytical results (SSR). The dataset utilized in this study comprises RVA data for 268 buildings and corresponding PEA data for the same 268 buildings. …”
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A Case–Control Study of the Association of Novel Androgens (11-KT and DHT), Classical Androgens (Testosterone and DHEAS), Hormones (LH, FSH, 17-OHP, Insulin, and SHBG), Insulin Res... by Nirmal Kumar, Neera Sharma, Smita Roy, Indu Chawla, Lokesh Kumar Sharma

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Sparse Regularization-Based Reconstruction for Bioluminescence Tomography Using a Multilevel Adaptive Finite Element Method by Xiaowei He, Yanbin Hou, Duofang Chen, Yuchuan Jiang, Man Shen, Junting Liu, Qitan Zhang, Jie Tian

“…Nevertheless, uniformly fine meshes would cause large dataset and overfine meshes might aggravate the ill-posedness of BLT. …”
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Father’s involvement associated with rural children’s depression and anxiety: A large-scale analysis based on data from seven provinces in China by Jian Jiang, Xuwei Tang, Zhifeng Lin, Yulan Lin, Zhijian Hu

“…The Rural Children’s Mental Health dataset includes mental health information from 2,489 children and adolescents aged 5–16 in seven provinces in China. …”
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A shallow convolutional neural network for cerebral neoplasm detection from magnetic resonance imaging by Hossein Sadr, Zeinab Khodaverdian, Mojdeh Nazari, Mohammad Yamaghani

“…The proposed model was implemented on the brain tumor MRI dataset, and the results of experiments showed promise in enhancing the accuracy of brain tumor detection, ultimately leading to better patient outcomes. …”
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Understanding Technology Use During the COVID-19 Pandemic Through the Lens of Age-Friendly Cities and Communities: An International, Multi-Centre Study by Hannah R. Marston, Vishnunarayan Girishan Prabhu, Loredana Ivan

“…This article contextualises the digital practices and the impact of technology experienced through the age-friendly city lens of adults aged 18–50+ years living in different types of communities. Using an original dataset collected from 2020 to 2021 across 11 sites and in 13 languages, the study gathered responses from a sample size of 3422 participants. …”
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Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram by Prabin Jose Johnrose, Sundaram Muniasamy, Jaffino Georgepeter

“…The proposed rag‐ROA‐based Deep RNN showed improved results with maximal accuracy of 88.8%, maximal sensitivity of 91.9%, and maximal specificity of 89.9% than the existing methods, such as Wavelet + SVM, HWPT + RVM, MVM‐FzEN, and EWT + RF, using the TUEP dataset.…”
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Layperson-Oriented versus Clinical-Based Models for Assessing 10-Year Incidence of Coronary Heart Disease: National FINRISK Study by Qing Qiao, Tiina Laatikainen, Weiguo Gao, Janne Pitkäniemi, Erkki Vartiainen

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Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation by Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang

“…Compared to ChatGPT, our model achieves a significant improvement in the average F1 score, with an increase of 15.74% on the SemEval 2016 Task 6 A and 3.55% on the P-Stance dataset. Our model outperforms current state-of-the-art models on these two datasets, demonstrating the superiority of multi-task fine-tuning with debate data and knowledge augmentation.…”
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Comparative analysis of neural network models performance on low-power devices for a real-time object detection task by A. Zagitov, E. Chebotareva, A. Toschev, E. Magid

“…We fine-tuned the models on our custom dataset prior to benchmarking and used post-training quantization (PTQ) and quantization-aware training (QAT) to optimize the models’ size and speed. …”
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Comprehensive Enteroviral Serology Links Infection and Anti‐Melanoma Differentiation‐Associated Protein 5 Dermatomyositis by Sahana Jayaraman, Eleni Tiniakou, William R. Morgenlander, Miso Na, Lisa Christopher‐Stine, H. Benjamin Larman

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Follow-Up and Risk Assessment in Patients with Myocardial Infarction Using Artificial Neural Networks by Tatjana Gligorijević, Zoran Ševarac, Branislav Milovanović, Vlado Đajić, Marija Zdravković, Saša Hinić, Marina Arsić, Milica Aleksić

“…The aim of this paper was to identify individuals with high risk of death after acute myocardial infarction using ANN. A training dataset for ANN was 1705 consecutive patients who underwent 24-hour ECG monitoring, short ECG analysis, noninvasive beat-to-beat heart-rate variability, and baroreflex sensitivity that were followed for 3 years. …”
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Examining the Relationship between Cardiorespiratory Fitness and Body Weight Status: Empirical Evidence from a Population-Based Survey of Adults in Taiwan by Tai-Hsiung Hung, Pei-An Liao, Hung-Hao Chang, Jiun-Hao Wang, Min-Chen Wu

“…A nationally representative dataset consisting of 68,175 adults aged 18–60, including 31,743 males and 36,432 females, was used. …”
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High Risk of Early Cataracts in Young Type 1 Diabetes Group: A Nationwide Cohort Study by Wen-Li Lu, Po-Chih Shen, Chen-Hao Lee, Yu-Tsun Su, Li-Min Chen

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Lane and Traffic Sign Detection for Autonomous Vehicles: Addressing Challenges on Indian Road Conditions by H. S. Gowri Yaamini, Swathi K J, Manohar N, Ajay Kumar G

“…There are several state-of-art You Only Live Once (YOLO) models trained on benchmark datasets which fails to cater the challenges of Indian roads. …”
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DynamicVLN: Incorporating Dynamics into Vision-and-Language Navigation Scenarios by Yanjun Sun, Yue Qiu, Yoshimitsu Aoki

“…Specifically, we have designed ten scenarios that simulate the challenges of dynamic navigation and developed a dedicated dataset of 11,261 instances using the CARLA simulator (ver.0.9.13) and large language model to provide realistic training conditions. …”
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Bacteria Load Determination of the Intestinal Microbiota and Identification of Spiroplasma and Wolbachia in Anopheles gambiae by Haziz Sina, Kamirou Chabi-Sika, Razaki Ossè, Akim Socohou, Ibrahim A. Abibou, Hafiz Salami, Germain Gil Padonou, Adolphe Adjanonhoun, Lamine Baba-Moussa

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Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East of Thailand by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…Performance was evaluated on a dataset of 100 diverse prescription labels from Thai healthcare facilities, using RAG Assessment (RAGAs) metrics to assess Context Recall, Factual Correctness, Faithfulness, and Semantic Similarity. …”
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