Vibration Analysis and Vehicle Detection by MEMS Acceleration Sensors Embedded in PCC Pavement by Congyi Chang, Linghui Kong, Libin Han, Junmin Li, Shuo Pan, Ya Wei

“…This study embedded micro-electro-mechanical systems (MEMS) accelerometer sensors in PCC pavement to capture vibration signals induced by vehicles. A thresholding method is proposed to automate vehicle detection by analyzing acceleration time-domain data, achieving precision and recall rates exceeding 85%. …”
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Optimization of fermentation process of blueberry and Chinese yam flavored fermented milk by fuzzy mathematics comprehensive evaluation and response surface method by ZHANG Yongfang, ZHANG Jie, ZHU Ling

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Evaluation of The Utilization of The iPosyandu Application in Enhancing Midwives’ Competence in Early Pregnancy Detection Services: Mixed Methods Study by Susanti AI, Nuraini A, Rinawan FR, Adnani QES, Wirakusumah FF

“…Consequently, mobile health (mHealth) solutions, such as the iPosyandu application, are essential to assist midwive’s in delivering maternal and child health services and enhancing their competence for early detection in pregnant women.Purpose: This study seeks to examine the evaluation of the iPosyandu application on midwive’s proficiency in early pregnancy identification.Patients and Methods: The research employed a convergent mixed-method approach, incorporating quantitative analysis involving 120 village midwives in Purwakarta Regency, divided into intervention (n = 60) and control (n = 60) groups. …”
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Optimization of bonding parameters in diffusion bonding of Cu10Sn-B4C composites produced by P/M method by Ada Hakan, Özsoy Serkan

“…With the increase in reinforcement rate, an increase in the shear strength of bonds and microhardness was observed. After the optimization process, the optimum result was detected in the bonding at 820°C temperature, 20 kg load, and 40 minutes duration in unreinforced bonding. …”
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Design and Optimization of a Vibration-Assisted Crop Seed Drying Tray with Real-Time Moisture Monitoring by Mingming Du, Hongbo Zhao, Shuai Zhang, Chen Li, Zhaoyuan Chu, Xiaohui Liu, Zhiyong Cao

“…To validate the proposed method, a series of experiments were conducted to determine the optimal vibration frequencies for various seed types. …”
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Deep learning-based feature selection for detection of autism spectrum disorder by Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim A. Fares, Mohammed Azmi Al-Betar, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz, Mohamed Abd Elaziz

“…The performance metrics include an average accuracy of 0.735, sensitivity of 0.765, and specificity of 0.752, surpassing the results of existing state-of-the-art methods.DiscussionThe findings demonstrate the effectiveness of the hybrid deep learning approach for ASD detection. …”
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Cooperative sensing method considering malicious nodes in cognitive radio networks by Xiao-gang QI, Sheng-yu ZHENG, Li-fang LIU, Hui-fang WANG

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Comparative analysis of deep learning and traditional methods for IoT botnet detection using a multi-model framework across diverse datasets by Saeed Ullah, Junsheng Wu, Zhijun Lin, Mian Muhammad Kamal, Hala Mostafa, Muhammad Sheraz, Teong Chee Chuah

“…These contributions advance IoT security by enabling scalable, high-performance detection adaptable to diverse network scenarios, with practical optimizations for real-world deployment.…”
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Comparative evaluation of antifungal susceptibility testing methods of invasive Candida species and detection of FKS genes mutations in caspofungin intermediate and resistant isola... by Dalia Saad ElFeky, Doaa Mahdy El-Wakil, Mai M. Mwafy, Mohamed M.A. Atia, Noha Mahmoud Gohar

“…Antifungal susceptibility testing (AFST) is necessary to optimize the therapy. The study aimed to compare different AFST methods of Candida spp. and detect FKS gene mutations among caspofungin-intermediate and resistant isolates. …”
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Evaluation of Touchdown Loop-Mediated Isothermal Amplification for the Detection of <i>Giardia duodenalis</i> by Márton Hartdégen, András József Laki, Kolos Farkasvölgyi, Kristóf Iván, Judit Plutzer

“…Based on the results of this study, the 66–60 °C range touchdown LAMP with the use of betaine, 90 °C denaturation step, Bst 2.0 WarmStart^® DNA Polymerase, and the primer set of Momoda et al. were the optimal conditions. We increased the analytical sensitivity of the LAMP reaction to 7.8- and 8-fold higher than the previously published methods for <i>G. duodenalis</i> assemblages A and B, with detection limits of 20 and 19.5 fg/assay, respectively, instead of 156 fg/assay. …”
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A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects by Jie-zhong Huang, Jian Yang, Dong-sheng Li, Wei-chen Kong, Ya-fei Wang

“…Abstract Environmental effects often cause variability in dynamic features, obscuring actual damage indicators and leading to false alarms in damage detection. The Gaussian mixture model (GMM) based method is an effective solution, but challenges such as selecting initial model parameters and determining the optimal number of Gaussian components can hinder its performance. …”
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Advanced SPR-Based Biosensors for Potential Use in Cancer Detection: A Theoretical Approach by Talia Tene, Fabian Arias Arias, Darío Fernando Guamán-Lozada, María Augusta Guadalupe Alcoser, Lala Gahramanli, Cristian Vacacela Gomez, Stefano Bellucci

“…The sensor response was characterized through metrics such as angular sensitivity, resonance shift, full width at half maximum, attenuation, and derived figures including detection accuracy and limit of detection. Parametric optimization was performed for the thickness of each functional layer to enhance sensing performance. …”
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Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm by El-Sayed M. El-Kenawy, Nima Khodadadi, Marwa M. Eid, Ehsaneh Khodadadi, Ehsan Khodadadi, Doaa Sami Khafaga, Amel Ali Alhussan, Abdelhameed Ibrahim, Mohamed Saber

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A Simple Real-Time Method for Detecting Low Performance in Wet High-Intensity Magnetic Separators (WHIMSs) Due to Coil Malfunction by Ricardo B. Ventura, Alan K. Rêgo Segundo, Thiago A. M. Euzébio

“…While the existing literature extensively discusses WHIMS performance under varying operational conditions, there is a notable absence of attention to the degradation of coils over time and methods for its detection. In this paper, we address this gap by proposing a novel approach to detect coil degradation in WHIMSs, enabling timely maintenance interventions to maintain optimal performance. …”
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Spectroscopic Method for Detection of Soluble Solid Content in Cherry Tomato Using Deep Convolutional Generative Adversarial Network-Based Data Augmentation by WU Zhijing, LIU Fuqiang, LI Zhigang, CHEN Hui

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The Fruit Recognition and Evaluation Method Based on Multi-Model Collaboration by Mingzheng Huang, Dejin Chen, Dewang Feng

“…Finally, the classification results were optimized by the feature matching network. In the method, the detection model was based on YOLOv8, and the model was improved by introducing a TripletAttention structure and an Attention Mechanism-Based Feature Fusion (AFM) structure. …”
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Towards Efficient Object Detection in Large-Scale UAV Aerial Imagery via Multi-Task Classification by Shuo Zhuang, Yongxing Hou, Di Wang

“…Existing methods typically split the original large UAV image into overlapping patches and perform object detection on each image patch. …”
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Optimization of variable temperature fermentation process of koumiss and its quality analysis by GUO Huanhuan, GOU Yongzhen, LI Jie, NIU Xiyue, XU Qian, CHEN Shenghuizi, REN Qing, QU Yebo

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Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

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Research on the Method of Crop Pest and Disease Recognition Based on the Improved YOLOv7-U-Net Combined Network by Wenchao Xiang, Zitao Du, Xinran Liu, Zehui Lu, Yuna Yin

“…This paper proposes an improved YOLOv7-U-Net combined network for crop pest and disease recognition, aiming to address the issue of insufficient accuracy in existing methods. For the YOLOv7 network, a self-attention mechanism is integrated into the SPPCSPC module to dynamically adjust channel weights and suppress redundant information while optimizing the PAFPN structure to enhance cross-scale feature fusion and improve small-object detection capabilities. …”
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