Optimized DINO model for accurate object detection of sesame seedlings and weeds by Yong Wang, ShunFa Xu, ZhenYuan Ye, KongHao Cheng

“…To overcome the high complexity and low detection accuracy limitations of the original DINO model for this problem, the backbone network was replaced with MobileNet V3, the SENet attention mechanism and neck structure were optimized, and the H-Swish6 activation function was introduced to suit edge devices. …”
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Anterior cruciate ligament microfatigue damage detected by collagen autofluorescence in situ by Jinhee Kim, So Young Baek, Stephen H. Schlecht, Mélanie L. Beaulieu, Lindsay Bussau, Junjie Chen, James A. Ashton‐Miller, Edward M. Wojtys, Mark M. Banaszak Holl

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Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study by Sonia Baee, Jeremy W Eberle, Anna N Baglione, Tyler Spears, Elijah Lewis, Hongning Wang, Daniel H Funk, Bethany Teachman, Laura E Barnes

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Pelvic vasectomy and its protective effects on rat testis function by Heng Yang, Yujun Chen, Xiaofeng Cheng, Jingxin Wu, Ruohui Huang, Biao Qian, Gongxian Wang

“…These techniques reduce tissue damage, cell apoptosis, and oxidative stress while maintaining endocrine function, offering promising implications for clinical applications.…”
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A Universal Tire Detection Method Based on Improved YOLOv8 by Chi Guo, Mingxia Chen, Junjie Wu, Haipeng Hu, Luobing Huang, Junjie Li

“…However, traditional methods of tire defect detection have encountered problems such as slow detection speed, complex tire defect backgrounds, and limited hardware resources. …”
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HIV-specific antibodies capable of ADCC are common in breastmilk and are associated with reduced risk of transmission in women with high viral loads. by Jennifer Mabuka, Ruth Nduati, Katherine Odem-Davis, Dylan Peterson, Julie Overbaugh

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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…The experimental results show that the lightweight improvement strategy significantly improves the detection accuracy of the model, while greatly reducing the number of parameters and calculations of the model. …”
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Inhibition of neuroinflammation by GIBH-130 (AD-16) reduces neurodegeneration, motor deficits, and proinflammatory cytokines in a hemiparkinsonian model by Maria E. Bianchetti, Ana Flavia F. Ferreira, Luiz R. G. Britto

“…Our results revealed an enhancement in the motor function of the AD-16-treated animals, as well as reduced nigrostriatal neurodegeneration. …”
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Improved YOLOv8 Object Detection Method for Drone Aerial Images by Zhong Shuai, Wang Liping

“…Secondly, replace the detection head with a Dynamic Head (Dyhead) to enhance the model's receptive field for distant small targets, thereby reducing the missed rate and false detection rate. …”
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An Investigation of Infrared Small Target Detection by Using the SPT–YOLO Technique by Yongjun Qi, Shaohua Yang, Zhengzheng Jia, Yuanmeng Song, Jie Zhu, Xin Liu, Hongxing Zheng

“…To detect and recognize small-size and submerged complex background targets in infrared images, we combine a dynamic receptive field fusion strategy and a multi-scale feature fusion mechanism to improve the detection performance of small targets significantly. …”
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Detection method for selfish routes based on the sequential probability ratio test by Qi WANG, Qingping WANG, Huaixing WANG, Zheng’an XIAO

“…According to a network model based on the sequential probability ratio test（SPRT），one detection method of selfish routes with respect to the routing functionality in wireless sensor network was developed.Through the analysis of the observed sample values of the nodes，the calculated routes evaluation values were compared with the known threshold values so as to determine whether it was selfish route.Simulation results show that the sequential sampling scheme based on the sequential probability ratio test had high detection accuracy，and the number of the required observation was greatly reduced，so it could operate faster.A merit of SPRT is that the number of observations required to test statistical hypotheses need not be determined in advance when compared to other methods based on a fixed number of observations.This allows for making prompt decision on the behavior of damage to the network，thus it can limit the scope of the damaged networks.…”
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A method for synthetic speech detection using local phase quantization by Jia XU, Zhihua JIAN, Honghui JIN, Man YANG

“…Due to the convenience of speech synthesis, synthesized disguised speech poses a great threat to the security of speaker verification systems.In order to further enhance the ability of detecting the camouflage to the speaker verification system, a method of synthetic speech detection was put forward using the information in spectral domain of the synthetic speech spectrogram.The method employed the local phase quantization (LPQ) algorithm to describe frequency domain information in the speech spectrogram.Firstly, the spectrogram was divided into several sub-blocks, and then the LPQ was performed on each sub-block.After the histogram statistical analysis, the LPQ feature vector was obtained and used as the input feature of the random forest classifier to realize the synthetic speech detection.The experimental results demonstrate that the proposed method further reduces tandem detection cost function (t-DCF) and has better generalization ability.…”
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Application of Deep Learning Techniques in Uranium Microparticle Fission Track Detection by ZHAO Xiong, REN Fangda, SHEN Yan

“…In conclusion, the YOLOv5-ST network model demonstrates superior detection effects for uranium microparticle track identification, particularly when paired with the DIOU loss function. …”
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Lightweight malicious domain name detection model based on separable convolution by Luhui YANG, Huiwen BAI, Guangjie LIU, Yuewei DAI

“…The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed,which can make it closer to the actual application.Based on the above considerations,a lightweight malicious domain name detection model based on separable convolution was proposed.The model uses a separable convolution structure.It first applies depthwise convolution on every input channel,and then performs pointwise convolution on all output channels.This can effectively reduce the parameters of convolution process without impacting the effectiveness of convolution feature extraction,and realize faster convolution process while keeping high accuracy.To improve the detection accuracy considering the imbalance of the number and difficulty of positive and negative samples,a focal loss function was introduced in the training process of the model.The proposed algorithm was compared with three typical deep-learning-based detection models on a public data set.Experimental results denote that the proposed algorithm achieves detection accuracy close to the state-of-the-art model,and can significantly improve model inference speed on CPU.…”
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Human Body Tracking Method Based on YOLOV5s Object Detection by Shaymaa Tarkan Abdullah, Bashar Talib AL-Nuaimi, Hazim Noman Abed

“…And use YOLOV5s algorithm for detection and tracking , the result achieve by this algorithm and proposed system mAp 99%. …”
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Water quality anomaly detection research based on GRU-PINN model by Zhao Xinyu

“…By embedding domain-specific physical constraints into the loss function, the model enhances interpretability and reduces false alarms. …”
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Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

“…Furthermore, the implementation of a nonmonotonic strategy for dynamically adjusting the loss function weights significantly boosts the model's detection precision and training efficiency. …”
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PA-YOLO-Based Multifault Defect Detection Algorithm for PV Panels by Wang Yin, Zhao Jingyong, Xie Gang, Zhao Zhicheng, Hu Xiao

“…For the occlusion problem of dense targets in the dataset, we introduce a repulsive loss function, which successfully reduces the occurrence of false detection situations. …”
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The evolution of S-nitrosylation detection methodology and the role of protein S-nitrosylation in various cancers by Feng Liang, Min Wang, Jiannan Li, Jie Guo

“…This reversible transformation between SNO modification and denitrification often influences the structure, activity, and function of proteins. The reversibility of SNO modifications also poses a challenge when verifying changes in the biological functions of proteins. …”
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Improving dependability with low power fault detection model for skinny-hash. by Sonal Arvind Barge, Gerardine Immaculate Mary

“…The resource-sharing concept is applied to the SKINNY block cipher to reduce area overhead caused by DMRC. The SKINNY-Hash function construct is described using Very Large-Scale Hardware Description Language (VHDL). …”
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