A clinical survey of laryngectomy patients to detect presence of the false perception of an intact larynx or the "phantom larynx" phenomenon by Pankaj Chaturvedi, Prashant V Pawar, Suhail Syed, Deepa Nair, Sourav Dutta, Devendra Chaukar, Anil K D′Cruz

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Neutrophil gelatinase-associated lipocalin as a biomarker for detection of early renal impairment in Iraqi patients with multiple myeloma by Alea Farhan Salman, Eham Amer Ali, Eham Amer Ali, Alaa Fadhil Alwan

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Few-Shot Evaluation of Vision Language Models for Detecting Visual Defects in Autonomous Vehicle Software Requirement Specifications by Nabil Bukhary, Maaz Ahmad, Karim Rashad, Samarth Rai, Salsabeel Shapsough, Yara Kaddoura, Dana Dghaym, Imran Zualkernan

“…Software Requirements Specifications (SRS) are crucial for defining system functionality, constraints, and objectives, particularly in safety-critical applications like autonomous vehicles (AV). …”
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An Efficient Model for Leafy Vegetable Disease Detection and Segmentation Based on Few-Shot Learning Framework and Prototype Attention Mechanism by Tong Hai, Yuxin Shao, Xiyan Zhang, Guangqi Yuan, Ruihao Jia, Zhengjie Fu, Xiaohan Wu, Xinjin Ge, Yihong Song, Min Dong, Shuo Yan

“…Experimental results show that the proposed method performs excellently in both object detection and semantic segmentation tasks. …”
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Real-Time Polarimetric Imaging and Enhanced Deep Learning Model for Automated Defect Detection of Specular Additive Manufacturing Surfaces by Dingkang Li, Xing Peng, Hongbing Cao, Yuanpeng Xie, Shiqing Li, Xiang Sun, Xinjie Zhao

“…Additionally, a fully decoupled detection head substitutes the original coupled head in the YOLOv5s model, separating the object classification and bounding box regression tasks to improve detection accuracy. …”
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Pengolahan Citra Berbasis Video Proccesing dengan Metode Frame Difference untuk Deteksi Gerak by Yovi Apridiansyah, Ardi Wijaya, Pahrizal, Rozali Toyib, Arif Setiawan

“…The use of mobile cameras produces video data that is used as test data, the test data is processed with the Frame difference method so as to produce a number of Frames on moving objects in order to detect moving objects in the video because the function of this method is a form of video background reduction that is simplified by a number of pixels in the video. …”
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Surface defect detection model of laser cutting polycrystalline cubic boron nitride tool based on asymptotic fusion strategy by Anfu Zhu, Jiaxiao Xie, Heng Guo, Jie Wang, Zilong Guo, Lei Xu, SiXin Zhu, Zhanping Yang, Bin Wang

“…In the backbone network, the C3SE module is constructed by modeling the correlation between feature channels to improve the model’s focus on key features in order to enhance the feature extraction and processing capability of the backbone network; In the neck network, adaptive spatial fusion operation and direct interaction of non-adjacent layers are utilized for multi-scale information fusion, and the asymptotic feature pyramid network for object detection (AFPN) is used instead of the FPN structure to improve the detection performance; In the head network, a soft suppression mechanism is introduced to reduce the overlapping frame score using a decay function, thus improving the detection accuracy. …”
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EXAMINATION OF ELECTROPHYSIOLOGICAL PARAMETERS OF THE ATRIUMS IN PATIENTS WITH LONG-TERM PERSISTENT FORM OF ATRIAL FIBRILLATION AND VALVULAR HEART DISEASE by A. A. Kulikov, L. A. Bokeriya

“…Also, in 80 % of patients, relative insufficiency of the tricuspid valve was detected. Chronic heart failure functional class per NYHA was III. …”
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A Multidimensional Parameter Dynamic Evolution-Based Airdrop Target Prediction Method Driven by Multiple Models by Xuesong Wang, Jiapeng Yin, Jianbing Li, Yongzhen Li

“…The airdrop error shows a trigonometric relationship with the angle between the synthetic wind direction and the heading, and the phase of the function will shift according to the difference in errors. …”
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Two⁃dimensional correlation infrared spectroscopy and hyperspectral imaging to detect the changes of polysaccharide during the drying process of Polygonatum sibiricum by FU Shuya, XIE Anguo, LIU Yunhong

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Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device by Kei Suzuki, Tipporn Laohakangvalvit, Midori Sugaya

“…<b>Background/Objectives:</b> There have been attempts to detect depression using medical-grade electroencephalograph (EEG) data based on a machine learning approach. …”
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Detection of carbapenem-resistant gram-negative bacilli in Japan using the fully automated bacterial testing device RAISUS S4 by Yumiko Funashima, Rin Hamabe, Kei Tominaga, Kentaro Wakamatsu, Takahiro Yaguchi, Zenzo Nagasawa, Tsukuru Umemura

“…Objective: We investigated a rapid detection method for carbapenemase-producing gram-negative bacilli (CP-GNR) using meropenem (MEPM) to assess the efficiency of the antimicrobial susceptibility testing. …”
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Multi-Channel Power Scheduling Based on Intrusion Detection System Under DDoS Attack: A Starkberg Game Approach by Youwen Yi, Lianghong Peng

“…Targeting leaders and followers, the optimal power allocation solution is derived with Signal-to-Interference-Noise Ratio (SINR) and transmission cost as the objective functions. By combining the Adaptive Penalty Function (APF) method with the Differential Evolution (DE) algorithm, the study effectively addresses related non-linear and non-convex optimization problems. …”
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Accelerating Training of Convolutional Neural Networks With Hessian-Free Optimization for Detecting Alzheimer&#x2019;s Disease in Brain MRI by Marios Pafitis, Maria Constantinou, Chris Christodoulou

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Combined Utility of Speckle Tracking Echocardiography and Cardiac Biomarkers for Early Detection of Anthracycline-Induced Cardiotoxicity in Pediatric Oncology Patients by Cristiana Stolojanu, Ruxandra Steflea, Andrada Mara Micsescu-Olah, Ioana Alexandra, Anca Popoiu, Gabriela Doros

“…Background and Objectives: Anthracycline chemotherapy is a cornerstone in pediatric oncology but carries a significant risk of cardiotoxicity. …”
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Accelerometry-Assessed Physical Activity and Circadian Rhythm to Detect Clinical Disability Status in Multiple Sclerosis: Cross-Sectional Study by Nicole Bou Rjeily, Muraleetharan Sanjayan, Pratim Guha Niyogi, Blake E Dewey, Alexandra Zambriczki Lee, Christy Hulett, Gabriella Dagher, Chen Hu, Rafal D Mazur, Elena M Kenney, Erin Brennan, Anna DuVal, Peter A Calabresi, Vadim Zipunnikov, Kathryn C Fitzgerald, Ellen M Mowry

“…ObjectiveThis study aims to determine if accelerometry can detect differences in physical activity and circadian rhythms between relapsing-remitting multiple sclerosis (RRMS) and progressive multiple sclerosis (PMS) and to assess the interplay within person between the 2 domains of physical activity (PA) and circadian rhythm (CR) in relation to MS type. …”
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Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

“…Feature importance analysis highlighted specific wavelengths near 1,150 nm, 1,410 nm, and 1,927 nm, associated with water molecular states and liver function biomarkers (GPT, GOT, GGT), reinforcing the biological relevance of this approach.ConclusionsThese findings suggest that integrating NIRS and clinical data through machine learning enhances HCV diagnostic capabilities, offering a scalable and non-invasive alternative for early detection and risk assessment.…”
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Smartphone-Based Automated Non-Destructive Testing Devices by V. F. Petryk, A. G. Protasov, R. M. Galagan, A. V. Muraviov, I. I. Lysenko

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Automatic Bone Fracture Reduction Technique with Section Registration by Qinhui YUAN, Mengxing LIU, Chu GUO, Yukun AN, Ping ZHOU

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Combination of Intermittent Search Strategy and an Improve Particle Swarm Optimization algorithm (IPSO) for model updating by Thanh Sang-To, Hoang-Le Minh, Tran-Thanh Danh, Samir Khatir, Magd Abdel Wahab., Thanh Cuong-Le

“…In which natural frequencies is used as the objective function to solve this optimization problem. …”
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