Binocular Vision-Based Target Detection Algorithm by Huiguo Zhang

“…In the field of target detection, algorithms are challenged with multi-objective optimization problems in identifying detection targets, and it is also crucial to improve the recognition of small and insignificant targets. …”
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Ultrasensitive Optical Chemosensor for Cu(II) Detection by Sayed M. Saleh, Reham Ali, Fahad Alminderej, Ibrahim A. I. Ali

“…Herein, the main objective of this research is to design and synthesize a novel optical chemosensor, 2,6-Bis(4-dimethylaminophenyl)-4-(dicyanomethylene)-cyclohexane-1,1-dicarbo-nitrile (BDC), for detection of one of the most significant metal ions Cu(II). …”
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Safety helmet detection methods in heavy machinery factory by Liu Baoju, Wei Xiangqian, Chen Qingshan, Liu Jiaqi, Chen Ye, Yu Peng, Lei shi, Hu Yongfeng

“…The YOLO series, a popular object location and detection method, offers an excellent balance between detection speed and accuracy, drawing wide attention from industry scholars. …”
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Mendelian randomization of plasma proteomics identifies novel ALS-associated proteins and their GO enrichment and KEGG pathway analyses by Chuan Lu, Xiao-xiao Huang, Ming Huang, Chaoning Liu, Jianwen Xu

“…Enrichment analyses, including Gene Ontology (GO) functional analysis, indicated involvement in critical biological processes such as external encapsulating structure organization, extracellular matrix organization, chemotaxis, and taxis. …”
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An Improved Transformer-Based Model for Urban Pedestrian Detection by Tianyong Wu, Xiang Li, Qiuxuan Dong

“…Abstract Pedestrian detection is a crucial task in computer vision, applicable in object tracking, video surveillance, and autonomous driving. …”
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Objective Evaluation of Obstacle Perception Using Spontaneous Body Movements of Blind People Evoked by Movements of Acoustic Virtual Wall by Yoshikazu Seki, Kiyohide Ito

“…Obstacle perception using sound is the ability to detect silent objects, such as walls and poles. It is very important for blind people to recognize their environment using acoustic information through their auditory sense when walking or conducting various daily activities. …”
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Saliency Detection Using Sparse and Nonlinear Feature Representation by Shahzad Anwar, Qingjie Zhao, Muhammad Farhan Manzoor, Saqib Ishaq Khan

“…The proposed dual representation scheme is then evaluated against human eye fixation prediction, response to psychological patterns, and salient object detection on well-known datasets. We conclude that having two forms of representation compliments one another and results in better saliency detection.…”
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Exosomes derived from umbilical cord mesenchymal stem cells carryingmiR-296-3p improve symptoms of rat model with gestational diabetes mellitus by ZHAO Dan, LIU Tingxiang, ZHENG Chuwen, HE Wencong

“…Objective To investigate the improvement of exosomes (Exo) derived from umbilical cord mesenchymal stem cells (MSCs) carrying miR-296-3p on blood lipid metabolism and immune function in gestational diabetes mellitus rats. …”
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Effect and Mechanism of Massage Manipulation on Rats with Skeletal Muscle Overuse Injury Based on Wnt/β-catenin Signaling Pathway by DUAN Miaomiao, HUANG Bo, RUAN Lei, MU Panpan, CHEN Yiming, PENG Liang

“…At 24 h after modeling and 24 h after intervention, the balance beam test was used to assess the motor function of rats with skeletal muscle injury; hematoxylin-eosin (HE) staining method was used to observe the pathological changes of the gastrocnemius muscle; an EM-1400 transmission electron microscope was used to observe the ultrastructure of the skeletal muscle fibers; fluorescence PCR was used to detect the myogenic regulatory factors including myogenic differentiation antigen (MyoD), myogenin (MyoG) and paired box gene 7 (Pax7) mRNA transcript levels; Western blot was used to detect MyoD, MyoG, Pax7, Wnt3a, Axin2 and β-catenin protein expression levels.Results(1) Motor function: compared with the blank group, the time to pass the balance beam and the number of paw slips in the model group and the intervention group increased significantly, and the differences were statistically significant (<italic>P</italic>&lt;0.05). …”
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GE-YOLO for Weed Detection in Rice Paddy Fields by Zimeng Chen, Baifan Chen, Yi Huang, Zeshun Zhou

“…Multiple experiments demonstrate that GE-YOLO achieves 93.1% mAP, 90.3% F1 Score, and 85.9 FPS, surpassing almost all mainstream object detection algorithms such as YOLOv8, YOLOv10, and YOLOv11 in terms of detection accuracy and overall performance. …”
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Spatial Shape-Aware Network for Elongated Target Detection by Shaowen Xu, Der-Horng Lee

“…In remote sensing detection, targets often exhibit unique characteristics such as elongated shapes, multi-directional rotations, and significant scale variations. …”
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Case Report: Low-intensity transcranial focused ultrasound stimulation improves social interaction and stereotyped behavior in a boy with autism spectrum disorder by Shu Cheng, Shu Cheng, Xuan Xu, Chao Shan Yan, Chao Shan Yan, Meng Chai Mao, Meng Chai Mao, Kai Xuan Luo, Xiao Fan Zhang, Qi Hui Liang, Xiao Jing Long, Li Juan Ao, Li Juan Ao, Mo Xian Chen

“…Social interaction, stereotyped behavior and language were assessed by scales before the first transcranial focused ultrasound session, immediately after 2 and 4 weeks of treatment. Besides, functional near-infrared spectroscopy was used to detect functional connections between regions of interest and the whole brain in individuals with ASD.ResultsScale assessments revealed several improvements in social and stereotypical behavior after low-intensity transcranial focused ultrasound. …”
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Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition by Yihang Zhang, Hang Zhao

“…Abstract The detection and classification of arrhythmia play a vital role in the diagnosis and management of cardiac disorders. …”
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Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…To solve the problem that the parameter of silicon content ([Si]) in hot mental is difficult to be directly detected and obtained by manual analysis with large time delay, a method of sparse and robust least squares support vector regression (R-S-LS-SVR) was proposed to establish a dynamic model of[Si] with the help of the multi-objective genetic optimization of model parame-ters. …”
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Change Detection Network Based on Transformer and Transfer Learning by Hua Li, Jingyu Li, Guanghao Luo, Liang Zhou, Hao Wu, Zhangcai Yin

“…The purpose of the change detection(CD) task is to contrast the change information of a specific object in remote sensing images from different time periods. …”
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DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum by Kun Jiang, Kexiao Peng, Yuan Feng, Xia Guo, Zuping Tang

“…The deformable attention mechanism embedded in DCFFN adaptively focuses on critical signal regions, while the loss function is optimized to the focal scaled intersection over union (Focal_SIoU), improving detection accuracy under low-SNR conditions. …”
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Research on pedestrian detection technology for mining unmanned vehicles by ZHOU Libing, YU Zhengqian, WEI Jianjian, JIANG Xueli, YE Baisong, ZHAO Yexin, YANG Siliang

“…Finally, a lightweight convolutional block attention module (CBAM) was integrated to improve attention to object categories and locations, thereby enhancing pedestrian detection accuracy. …”
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Utilizing an Enhanced YOLOv8 Model for Fishery Detection by Hanyu Jiang, Jiacheng Zhong, Fuyu Ma, Cheng Wang, Ruiwen Yi

“…These organisms are often obscured by various obstacles, and there are varying degrees of overlap between them, posing substantial challenges for underwater object detection using deep learning methods. To address these challenges, we developed an improved object detection model based on YOLOv8, which is robust and less sensitive to noise. …”
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Virtual reality navigation for the early detection of Alzheimer’s disease by Sayuri Shima, Reiko Ohdake, Yasuaki Mizutani, Harutsugu Tatebe, Riki Koike, Atsushi Kasai, Epifanio Bagarinao, Epifanio Bagarinao, Kazuya Kawabata, Kazuya Kawabata, Akihiro Ueda, Mizuki Ito, Junichi Hata, Shinsuke Ishigaki, Junichiro Yoshimoto, Hiroshi Toyama, Takahiko Tokuda, Akihiko Takashima, Hirohisa Watanabe, Hirohisa Watanabe

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Colorectal Cancer Detection Tool Developed with Neural Networks by Alex Ede Danku, Eva Henrietta Dulf, Alexandru George Berciu, Noemi Lorenzovici, Teodora Mocan

“…The present study is based on the use of computer-aided diagnosis of colorectal cancer. The objective of this study is to develop a practical, low-cost, AI-based decision-support tool that integrates clinical test data (blood/stool) and, if needed, colonoscopy images to help reduce misdiagnosis and improve early detection of colorectal cancer for clinicians. …”
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