Untargeted Salivary Metabolomics and Proteomics: Paving the Way for Early Detection of Periodontitis by Mariacristina Amato, Alessandro Polizzi, Andrea Blasi, Cristina Grippaudo, Gaetano Isola

“…Periodontitis is a chronic inflammatory disease that affects the supporting structures of the teeth and is a major cause of tooth loss worldwide. Early detection is critical to prevent disease progression and avoid irreversible tissue damage. …”
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Application of deep learning for rice leaf disease detection in the Mekong Delta by Duc Luu Ngo, Thi Thuy Diem Le, Thi Phuong Anh Ha

“…This paper utilizes an image dataset of three common rice leaf diseases—leaf smut, brown spot, and bacterial leaf blight—and applies deep learning networks (MobileNet and ResNet) to evaluate and select the best model. A diagnostic program is then developed to detect these diseases. …”
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Application of deep learning for rice leaf disease detection in the Mekong Delta by Duc Luu Ngo, Thi Thuy Diem Le, Thi Phuong Anh Ha

“…This paper utilizes an image dataset of three common rice leaf diseases—leaf smut, brown spot, and bacterial leaf blight—and applies deep learning networks (MobileNet and ResNet) to evaluate and select the best model. A diagnostic program is then developed to detect these diseases. …”
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Deep learning-based crack detection and prediction for structural health monitoring by Satyabrata Roy, Biswarup Yogi, Raj Majumdar, Pritha Ghosh, Sourav Kumar Das

“…Abstract This study describes a system for real-time crack detection and estimation in constructions, using a proposed model based on CNN, VGG16, U-Net, and Swin Transformer architectures. …”
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Leveraging glycosylation for early detection and therapeutic target discovery in pancreatic cancer by Tomasz Pienkowski, Katarzyna Wawrzak-Pienkowska, Anna Tankiewicz-Kwedlo, Michal Ciborowski, Krzysztof Kurek, Dariusz Pawlak

“…Recent glycoproteomic studies have illuminated the crucial role of glycosylation in PC progression, revealing altered glycosylation patterns that impact cell adhesion, immune evasion, and tumor invasiveness. …”
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An explainable transformer model for Alzheimer’s disease detection using retinal imaging by Saeed Jamshidiha, Alireza Rezaee, Farshid Hajati, Mojtaba Golzan, Raymond Chiong

“…In the absence of effective treatment options, early diagnosis is crucial for initiating management strategies to delay disease onset and slow down its progression. In this study, we propose Retformer, a novel transformer-based architecture for detecting AD using retinal imaging modalities, leveraging the power of transformers and explainable artificial intelligence. …”
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REPrise: de novo interspersed repeat detection using inexact seeding by Atsushi Takeda, Daisuke Nonaka, Yuta Imazu, Tsukasa Fukunaga, Michiaki Hamada

“…However, existing tools do not yet have sufficient repeat detection performance. Results In this study, we developed REPrise, a de novo interspersed repeat detection software program based on a seed-and-extension method. …”
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The Detection of Spatially Resolved Protostellar Outflows and Episodic Jets in the Outer Galaxy by Toki Ikeda, Takashi Shimonishi, Natsuko Izumi, Hiroyuki Kaneko, Satoko Takahashi, Kei E. I. Tanaka, Kenji Furuya, Chikako Yasui

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Insulator Defect Detection in Complex Environments Based on Improved YOLOv8 by Yuxin Qin, Ying Zeng, Xin Wang

“…To solve the problems of its low accuracy, high delay, and large model size in complex environments, following the principle of progressive extraction from high-entropy details to low-entropy semantics, an improved YOLOv8 target detection network for insulator defects based on bidirectional weighted feature fusion was proposed. …”
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Optimization of train obstacle detection based on zone media controller unit by ZHOU Liming, HU Jiaqiao, SHEN Tuo

“…First, an algorithm framework was progressively designed based on the YOLOv8 algorithm, consisting of track area segmentation and obstacle target detection. …”
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Beyond Detection: A Framework for Transforming Accessibility Evaluations into Implementable Fixes by Paula Palomino, André Araújo, Alenilton Silva, Rafael Araújo, Diego Dermeval, Grace Lis Porto, Sofia Simanke, Thiago Cordeiro, Rodrigo Lisboa

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An exploration of machine learning approaches for early Autism Spectrum Disorder detection by Nawshin Haque, Tania Islam, Md Erfan

“…These results underscore the potential of machine learning in aiding the early detection of ASD in children and toddlers, offering promising avenues for future research and clinical applications.…”
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HEAT: Incorporating hierarchical enhanced attention transformation into urban road detection by Ting Han, Chuanmu Li, Siyu Chen, Zongyue Wang, Jinhe Su, Yundong Wu, Guorong Cai

“…Abstract Road detection plays a vital role in automated driving and advanced driver assistance systems. …”
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Unlocking the potential of miRNAs in detecting pulmonary tuberculosis: prospects and pitfalls by Rakesh Arya, Surendra Kumar, Joseph M. Vinetz, Jong Joo Kim, Reetika Chaurasia

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Comparison of the Effectiveness of Two Different Pregnancy Detection Methods in Awassi Ewes by Ibrahim, Baraa Mahmood;, Al Rawi, Hani Muneb

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Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection by Yanjun Feng, Jun Liu, Yonggang Gai

“…The visual perception algorithms have become extensively utilized in surface defect detection, progressively replacing manual inspection methods. …”
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Multi-Scale Hierarchical Feature Fusion for Infrared Small-Target Detection by Yue Wang, Xinhong Wang, Shi Qiu, Xianghui Chen, Zhaoyan Liu, Chuncheng Zhou, Weiyuan Yao, Hongjia Cheng, Yu Zhang, Feihong Wang, Zhan Shu

“…To overcome these challenges, we propose the novel Wide-scale Gated Fully Fusion Network (WGFFNet) in this article, which contributes to infrared small-target detection (IRSTD). WGFFNet uses a classic encoder–decoder structure, where the designed stepped fusion block (SFB) embedded in the feature extraction stage captures finer local context across multiple scales during encoding, and along the decoding path, the multi-level features are progressively integrated by a Fully Gated Interaction (FGI) Module to enhance feature representation. …”
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Review of the Diffusion Process, Explosion Mechanism, and Detection Technology of Hydrogen and Ammonia by Zilong Zhang, Zhaotong Zhang, Yuqi Zhou, Yujie Ouyang, Jiangtao Sun, Jing Zhang, Bin Li, Dan Zhang, Yongxu Wang, Jian Yao, Huadao Xing, Lifeng Xie

“…In particular, hydrogen detection technology, primarily based on electrical measurement, has matured considerably, while schlieren imaging-based flow field visualization technology is progressing steadily. …”
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Atrial fibrillation detection via contactless radio monitoring and knowledge transfer by Yuqin Yuan, Jinbo Chen, Dongheng Zhang, Ruixu Geng, Hanqin Gong, Guixin Xu, Yu Pu, Zhi Lu, Yang Hu, Dong Zhang, Likun Ma, Qibin Sun, Yan Chen

“…These results highlight its potential to support feasible lifelong proactive monitoring, covering the full spectrum of AF progression.…”
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Short-Term Results of Early Detection of Critical Congenital Heart Disease by Julissa Carhuayo-Chura, MD, Felipe E. Terpin-Ayvar, Anthony Bautista-Pariona, MD, J. Pierre Zila-Velasque, MD, Luis S. Velarde-Zegarra, MD, Carmen Davila-Aliaga, MD, Katia Bravo-Jaimes, MD

“…Objectives: The purpose of this study was to evaluate the short-term outcomes of an early CCHD-detection program at the National Maternal Perinatal Institute in Lima, Peru. …”
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