Decoding Humor-Induced Amusement via Facial Expression Analysis: Toward Emotion-Aware Applications by Gabrielle Toupin, Arthur Dehgan, Marie Buffo, Clément Feyt, Golnoush Alamian, Karim Jerbi, Anne-Lise Saive

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Steel Roll Eye Pose Detection Based on Binocular Vision and Mask R-CNN by Xuwu Su, Jie Wang, Yifan Wang, Daode Zhang

“…To achieve automation at the inner corner guard installation station in a steel coil packaging production line and enable automatic docking and installation of the inner corner guard after eye position detection, this paper proposes a binocular vision method based on deep learning for eye position detection of steel coil rolls. …”
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Comparison of nanoimaging and nanoflow based detection of extracellular vesicles at a single particle resolution by Shihan Xu, Zhengrong Zhang, Bridgette C. Melvin, Nibedita Basu Ray, Seiko Ikezu, Tsuneya Ikezu

“…Additionally, we applied machine learning models to correct for false positive particles identified in imaging‐based results by fitting size distribution data.…”
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Shoreline dynamics prediction using machine learning models: from process learning to probabilistic forecasting by Afshar Adeli, Afshar Adeli, Ali Dastgheib, Ali Dastgheib, Dano Roelvink, Dano Roelvink, Dano Roelvink

“…This approach can learn shoreline evolution, predict it, and serve as a foundational component of a proposed method for probabilistic shoreline position prediction. …”
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Multi-cohort study in gastric cancer to develop CT-based radiomic models to predict pathological response to neoadjuvant immunotherapy by Ze-Ning Huang, Hao-Xiang Zhang, Yu-Qin Sun, Xing-Qi Zhang, Yi-Fen Lin, Cai-Ming Weng, Chao-Hui Zheng, Ping-Li, Jia-Bin Wang, Qi-Yue Chen, Long-Long Cao, Mi Lin, Ru-Hong Tu, Chang-Ming Huang, Jian-Xian Lin, Jian-Wei Xie

“…This study sought to develop and validate a radiomics-based machine learning (ML) model for patients with locally advanced gastric cancer (LAGC), specifically to predict whether patients will achieve a major pathological response (MPR) following neoadjuvant immunotherapy. …”
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A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

“…In order to meet the requirement of oil leakage monitoring on offshore platforms, The paper investigates a method for identifying oil spill targets and potential associated targets that may lead to oil leakage based on the YOLOv5 model. …”
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Accurate irrigation decision-making of winter wheat at the filling stage based on UAV hyperspectral inversion of leaf water content by Xuguang Sun, Baoyuan Zhang, Menglei Dai, Cuijiao Jing, Kai Ma, Boyi Tang, Kejiang Li, Hongkai Dang, Limin Gu, Wenchao Zhen, Xiaohe Gu

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Facial recognition optimization based on adversarial sample generation in the field of artificial intelligence by Jie Yang

“…Thus, the research on facial adversarial sample generation based on ensemble learning is carried out. Firstly, the traditional AdaBoost is improved using particle swarm optimization algorithm and dual threshold classification method. …”
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Whole-body 2D human pose estimation based on human keypoints distribution constraint and adaptive Gaussian factor by Fan Wei, Guanghua Xu, Qingqiang Wu, Penglin Qin, Leijun Pan, Yihua Zhao, Kai Zhang

“…Owing to the physical structure limitations of the human body, hands and face and the scale differences of different body parts, the results of whole-body 2D human pose estimation methods are often affected. To solve this problem, we propose a new method based on the human key point distribution to learn the relationships between keypoints of different body parts, and generate heatmaps using adaptive gaussian factor to handle scale and density variations. …”
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6D Pose Estimation Algorithm Based on Improved YOLOv5 With Asymptotic Feature Pyramid Network and Attention Mechanism by Yan Zhang, Hanyu Ye

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A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images by Shen Wen, Dong Zhang, Yuting Lei, Yan Yang

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Robust Tracking Control of Underactuated UAVs Based on Zero-Sum Differential Games by Yaning Guo, Qi Sun, Quan Pan

“…Finally, numerical results validate that the method outperforms state-of-the-art model-based and model-free approaches in tracking accuracy and disturbance rejection, demonstrating its practical utility for engineering applications.…”
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Association between life’s crucial 9 and lung health: a population-based study by Haolin Shi, Xiuhua Ma

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TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

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Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population. by John T Murchison, Gillian Ritchie, David Senyszak, Jeroen H Nijwening, Gerben van Veenendaal, Joris Wakkie, Edwin J R van Beek

“…Sensitivity, false positive (FP) rate and Dice inter-reader coefficient were calculated.…”
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Effectiveness of a school-based programme of animal-assisted humane education in Hong Kong for the promotion of social and emotional learning: A quasi-experimental pilot study. by Joe T K Ngai, Rose W M Yu, Kathy K Y Chau, Paul W C Wong

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Simulation of Active Layer Thickness Based on Multi-Source Remote Sensing Data and Integrated Machine Learning Models: A Case Study of the Qinghai-Tibet Plateau by Guoyu Wang, Shuting Niu, Dezhao Yan, Sihai Liang, Yanan Su, Wei Wang, Tao Yin, Xingliang Sun, Li Wan

“…Additionally, the SCE model was verified via ten-fold cross-validation (MAE: 20.713 cm, RMSE: 32.680 cm, R²: 0.873, and MAPE: 0.104), and its inversion of QTP’s ALT data from 1958 to 2022 revealed 1998 as a key turning point with a slow growth rate of 0.25 cm/a before 1998 and a significantly increased rate of 1.26 cm/a afterward. Finally, based on multiple model input factor analysis methods (SHAP, Pearson correlation, and Random Forest Importance), the study analyzed the ranking of key factors influencing ALT changes. …”
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Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation by Muhammad Ahmad, Ildar Batyrshin, Grigori Sidorov

“…By analyzing this sentiment, we used 4 state-of-the-art machine learning models, 2 deep learning models, 3 transformer models, and 1 large language model (GPT-3.5 Turbo) to predict overdose risks to improve health care response and intervention strategies. …”
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Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in t... by Nichel Marquez, Erwin John Carpio, Mary Rosary Santiago, Jeremiah Calderon, Ruth Orillaza-Chi, Shawnee Shaine Salanap, Lisa Stevens

“…Systematic TB case finding using chest X-ray (CXR) with computer-aided detection powered by deep learning-based artificial intelligence (AI-CAD) provided this opportunity. …”
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Novel Snapshot-Based Hyperspectral Conversion for Dermatological Lesion Detection via YOLO Object Detection Models by Nan-Chieh Huang, Arvind Mukundan, Riya Karmakar, Syna Syna, Wen-Yen Chang, Hsiang-Chen Wang

“…These findings indicate that integrating snapshot-based narrowband imaging with deep learning object detection models can improve early diagnosis and has potential applications in broader clinical contexts.…”
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