Optimizing dental implant identification using deep learning leveraging artificial data by Shintaro Sukegawa, Kazumasa Yoshii, Takeshi Hara, Futa Tanaka, Yoshihiro Taki, Yuta Inoue, Katsusuke Yamashita, Fumi Nakai, Yasuhiro Nakai, Ryo Miyazaki, Takanori Ishihama, Minoru Miyake

“…Images of 10 types of implants were classified using ResNet50 into the following datasets: (A) images of implants captured in vivo, (B) artificial implant images generated without background adjustments, and (C) implant images derived from in vivo images and generated with background adjustments. …”
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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

“…Therefore, this work proposes a machine learning-based device modeling algorithm to capture the complex nonlinear relationship between parameters and electrical characteristics of gate-all-around (GAA) nanowire field-effect transistors (NWFETs) from technology computer-aided design (TCAD) simulation results. …”
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Facial masks and soft‐biometrics: Leveraging face recognition CNNs for age and gender prediction on mobile ocular images by Fernando Alonso‐Fernandez, Kevin Hernandez‐Diaz, Silvia Ramis, Francisco J. Perales, Josef Bigun

“…Abstract We address the use of selfie ocular images captured with smartphones to estimate age and gender. …”
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Association between Maternal Pelvis Height and Intrapartum Foetal Head Moulding in Ugandan Mothers with Spontaneous Vertex Deliveries by Ian G. Munabi, Samuel Abilemech Luboga, Livingstone Luboobi, Florence Mirembe

“…IRR 0.88, P<0.01), and raptured membranes (Adj. IRR 0.10, P<0.01). There was a significant increased risk of foetal head moulding with increasing birth weight (Adj. …”
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Investigation of the Air Pollution Event in Beijing-Tianjin-Hebei Region in December 2016 Using WRF-Chem by Dongdong Wang, Baolin Jiang, Fangzhou Li, Wenshi Lin

“…Evaluation indicates that WRF-Chem captured the main weather conditions and pollutant distribution in this event. …”
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A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy by Feng You, Yunbo Gong, Haiqing Tu, Jianzhong Liang, Haiwei Wang

“…First, we introduce an improved YOLOv3-tiny convolutional neural network to capture the facial regions under complex driving conditions, eliminating the inaccuracy and affections caused by artificial feature extraction. …”
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Analyzing the observational capabilities of a Moon-based platform for monitoring Earth’s outgoing radiation by Guang Liu, Runbo Dong, Yin Jin, Mengxiong Zhou, Hanlin Ye, Rui Song, Jan-Peter Muller, Huadong Guo

“…The results show that: 1) the lowest daily ground coverage rate is about 88.8% and global coverage including polar regions can always be achieved within a month; 2) the sampling interval needs to be less than 4 hours to ensure the accuracy of reconstruction; 3) the image captured by a multi-spectral camera is capable of reconstructing the distribution of the Earth’s outgoing radiation, while the data obtained from a radiometer facilitates the reconstruction of the global Earth’s outgoing radiation, thereby enabling a comprehensive assessment of the Earth’s outgoing radiation. …”
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Towards accurate anomaly detection for cloud system via graph-enhanced contrastive learning by Zhen Zhang, Zhe Zhu, Chen Xu, Jinyu Zhang, Shaohua Xu

“…In addition, GCAD introduces linear attention for encoding spatiotemporal representations to capture their global correlation information. The weight parameters of the encoder are optimized using a contrastive learning mechanism. …”
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scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder by Xiaoxu Cui, Renkai Wu, Yinghao Liu, Peizhan Chen, Qing Chang, Pengchen Liang, Changyu He

“…Built upon a convolutional autoencoder and informed by the negative binomial distribution, the SMD model efficiently captures essential cell clustering features and dynamically adjusts feature weights. …”
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Satellite-Based Forest Stand Detection Using Artificial Intelligence by Patrik Kovacovic, Rastislav Pirnik, Julia Kafkova, Mario Michalik, Alzbeta Kanalikova, Pavol Kuchar

“…A custom dataset was developed, comprising high-quality satellite images that capture various structures such as forests, fields, roads, buildings, and lakes. …”
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Current perspectives and trends of the research on hypertensive nephropathy: a bibliometric analysis from 2000 to 2023 by Lan Wang, Jingyu Wang, Yuemiao Zhang, Hong Zhang

“…CiteSpace was used to capture the patterns and trends from multi-perspectives, including countries/regions, institutions, keywords, and references. …”
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An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting by Lizhi Tao, Yueming Nan, Zhichao Cui, Lei Wang, Dong Yang

“…The EB-GRU outperforms the MLP and SVM at each lead time, particularly at shorter lead times, highlighting its effectiveness in capturing short-term streamflow dynamics. The analysis of uncertainty quantization shows that noise in the input data is the primary source of overall uncertainty in model prediction, whereas a notable increase is observed in the uncertainty caused by the model in the flood season. …”
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Accelerated dynamic light sheet microscopy: unifying time-varying patterned illumination and low-rank and sparsity constrained reconstruction by Marco Tobia Vitali, Alessia Candeo, Andrea Farina, Paolo Pozzi, Alessia Brix, Andrea Bassi, Teresa M Correia

“…However, its temporal resolution is constrained by the sequential acquisition of individual two-dimensional planes at varying depths, making it challenging to capture rapid dynamics such as the beating of a zebrafish heart. …”
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Duodenal Obstruction during Pregnancy by Mansooreh Haghiri, Sedigheh Borna, Kamran Hessami, Ali Sharifi, Seyed Mohsen Ahmadi Tafti, Mahrooz Malek, Nasim Pourdamghan, Sedigheh Hantoushzadeh, Abolfazl Shirdel Abdolmaleki, Maasoumeh Saleh

“…After the last follow-up, she has had gained 18 kg and gave birth at 36 weeks of gestation due to the premature rapture of membranes and delivered a 2 kg small for gestational age otherwise healthy infant. …”
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An Investigation of Manifold-Based Direct Control for a Brain-to-Body Neural Bypass by E. Losanno, M. Badi, E. Roussinova, A. Bogaard, M. Delacombaz, S. Shokur, S. Micera

“…<italic>Results:</italic> We identified an intrinsic low-dimensional space (called manifold) capturing the co-variation patterns of the monkey&#x0027;s neural activity associated to reach-to-grasp movements. …”
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Learning Power Systems Waveform Incipient Patterns Through Few-Shot Meta-Learning by Lixian Shi, Qiushi Cui, Yang Weng, Yigong Zhang, Shilong Chen, Jian Li, Wenyuan Li

“…This leads the difficulty in capturing IF data from waveform monitoring or recording devices. …”
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Rapid Acquisition of High-Pixel Fluorescence Lifetime Images of Living Cells via Image Reconstruction Based on Edge-Preserving Interpolation by Yinru Zhu, Yong Guo, Xinwei Gao, Qinglin Chen, Yingying Chen, Ruijie Xiang, Baichang Lin, Luwei Wang, Yuan Lu, Wei Yan

“…By applying these techniques to live-cell imaging, we can successfully obtain high-pixel FLIM images at shortened intervals, facilitating the capture of rapid cellular events.…”
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Direct conversion of peptides into diverse peptidomimetics using a transformer-based chemical language model by Atsushi Yoshimori, Jürgen Bajorath

“…Over time, various chemical strategies have been developed to convert natural peptide ligands into so-called peptidomimetics. …”
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Investigation of the Ultrasonic Treatment-Assisted Soaking Process of Different Red Kidney Beans and Compositional Analysis of the Soaking Water by NIR Spectroscopy by Matyas Lukacs, Tamás Somogyi, Barasa Mercy Mukite, Flóra Vitális, Zoltan Kovacs, Ágnes Rédey, Tamás Stefaniga, Tamás Zsom, Gabriella Kiskó, Viktória Zsom-Muha

“…The PLSR- and SVR-based modelling for dry matter content and light color parameters demonstrated robust model fits with cross and test set-validated R² values (>0.95), suggesting that these techniques can effectively capture the chemical information of the samples.…”
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On the Evidence of Dynamical Dark Energy by Qing Gao, Zhiqian Peng, Shengqing Gao, Yungui Gong

“…To elucidate the robustness of the baryon acoustic oscillation (BAO) data measured by the dark energy spectroscopic instrument (DESI) in capturing the dynamical behavior of dark energy, we assess the model dependence of the evidence for dynamical dark energy inferred from the DESI BAO data. …”
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