A Multimodal Approach of Machine and Deep Learnings to Enhance the Fall of Elderly People by Saleh Al meraikhi, Murad Al-Rajab

“…Such an approach is biased against low fall detection and has a high false alarm rate. …”
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THE CHOICE OF SURGICAL TACTICS BASED ON THE RESULTS OF PIGMENTED LIMPHOGRAPHY FOR PATIENTS WITH LOCALLY ADVANCED PROXIMAL GASTRIC CANCER by M. O. Maksimov, S. A. Tuzikov, G. N. Strizhakov, E. O. Rodionov, S. V. Miller

“…Peroral pigmented lymphography was shown to be an effective method in detecting lymph node metastases from gastric cancer.  …”
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Evaluation of geological engineering factors for productivity of deep CBM well after fracturing based on grey correlation method by KONG Xiangwei,XIE Xin,WANG Cunwu,SHI Xian

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Construction of a predictive model for cognitive impairment among older adults in Northwest China by Yu Wang, Ni Wang, Yanjie Zhao, Xiaoyan Wang, Yuqin Nie, Liping Ding

“…The random forest algorithm and multifactorial logistic regression analysis revealed that the independent predictive factors for cognitive impairment among older adults in Northwest China were advanced age, high BMI, low literacy, low gait speed, primary financial resources from children or labor, freelance work, less exercise, low scores on instrumental activities of daily living, low walking test scores, low levels of activities of daily living, and irregular participation in social activities, all of which were used to create the nomogram. …”
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Precision Analysis of Multi-Parameter Multi-Epoch Emitter Localization Radar in Three-Satellite Formation by Yiming Lian, Yuxuan Wu, Yaowen Chen, Xian Liu, Liming Jiang

“…Emitter localization offers significant advantages such as high concealment, long detection range, and low cost, making it indispensable in target positioning. …”
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Wave propagation-based tests for concrete piles – an overview by Reham Samaan, Abdelsalaam Mokhtar, Mohamed Saafan, Ahmed Ebid

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Prevalence and associated factors of mammography uptake among the women aged 45 years and above: policy implications from the longitudinal ageing study in India wave I survey by Priyanka Sharma, Dipak Das, Divya Khanna, Atul Budukh, Anita Khokhar, Satyajit Pradhan, Ajay Kumar Khanna, Pankaj Chaturvedi, Rajendra Badwe

“…The national operational framework includes mammography as one of the investigation modalities under the algorithm for early detection and management of breast cancer. …”
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Novel intelligent MPP tracker and sliding mode control for decentralized street lighting systems using photovoltaic energy by Hussain Attia, Ali Al-Ataby, Maen Takruri, Amjad Omar

“…Unlike traditional decentralised street lighting solutions, which focus mainly on LED dimming based on motion detection or basic MPPT algorithms, this paper proposes a hybrid approach that integrates an intelligent ANN-based MPPT battery charger with a robust SMC for load driving. …”
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A novel two stage neighborhood search for flexible job shop scheduling problem considering reconfigurable machine tools by Yanjun Shi, Chengjia Yu, Shiduo Ning

“…Abstract The rapid changes in market demand are driving a transition from traditional mass production to high-mix, low-volume production, emphasizing the need for customization and rapid response. …”
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DERM-SUCCESS FDA Pivotal Study: A Multi-Reader Multi-Case Evaluation of Primary Care Physicians’ Skin Cancer Detection Using AI-Enabled Elastic Scattering Spectroscopy by Laura K. Ferris, Erik Jaklitsch, Elizabeth V. Seiverling, Thomas Agresta, Peggy Cyr, Laurie Caines, Na Wang, Daniel M. Siegel

“…A handheld device that employs ESS enabled with an artificial intelligence algorithm was developed as an objective tool to aid primary care physicians (PCPs) in their management of lesions suspicious for skin cancer. …”
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STag marking visual guidance method for USV docking by Yongxin XIAO, Xianbo XIANG, Dian KONG, Lichun YANG, Shaolong YANG

“…Amplitude limiting filtering and first-order low-pass filtering are then performed to obtain the required lateral offset and heading deviation for line-of-sight (LOS) docking guidance.ResultsIn the static performance test, the average angular error of target detection is 6.85° and the average distance error is 0.056 m. …”
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Multi-Module Combination for Underwater Image Enhancement by Zhe Jiang, Huanhuan Wang, Gang He, Jiawang Chen, Wei Feng, Gaosheng Luo

“…With five separate modules working in tandem, UMMC provides the flexibility to address key challenges such as color distortion, haze, and low contrast. The UMMC framework starts with a color deviation detection module that intelligently separates images with and without color deviation, followed by a color and white balance correction module to restore accurate color. …”
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RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification by Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin

“…Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements. …”
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High Resolution Lensless Terahertz Imaging and Ranging by Dilyan Damyanov, Benedikt Friederich, Milad Yahyapour, Nico Vieweg, Anselm Deninger, Kevin Kolpatzeck, Xuan Liu, Andreas Czylwik, Thorsten Schultze, Ingolf Willms, Jan C. Balzer

“…In this paper, we propose a fast terahertz time-domain imaging method using a radar migration algorithm. We demonstrate high-resolution imaging in reflection without any collimating or focusing optics in the terahertz beam. …”
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Toward accurate and scalable rainfall estimation using surveillance camera data and a hybrid deep-learning framework by Fiallos-Salguero Manuel, Soon-Thiam Khu, Jingyu Guan, Mingna Wang

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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…The incorporation of the Adown module, GMA attention mechanism, and WIoUv3 loss function effectively reduced the model's parameters and computational complexity, while significantly improving the accuracy and robustness of levee crack detection. Furthermore, the integration of crack detection results with coordinate transformation algorithms enabled the precise geospatial localization of cracks. …”
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Integrating Drone-Based LiDAR and Multispectral Data for Tree Monitoring by Beatrice Savinelli, Giulia Tagliabue, Luigi Vignali, Roberto Garzonio, Rodolfo Gentili, Cinzia Panigada, Micol Rossini

“…Drones offer advantages such as low operating costs, versatility, and rapid data collection. …”
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Integrated WHT- and DFT-Based Multiuser Massive MIMO System for Secure RIS-Enabled mmWave Communications by Md. Najmul Hossain, Md. Rakibul Islam, S. K. Tamanna Kamal, Atia Kaniz, Shaikh Enayet Ullah, Tetsuya Shimamura

“…BD precoding minimizes multiuser interference, and using integrated WHT- and DFT-based algorithms with null carriers effectively reduces the out-of-band (OOB) spectrum power. …”
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Alfalfa stem count estimation using remote sensing imagery and machine learning on Google Earth Engine by Hazhir Bahrami, Karem Chokmani, Saeid Homayouni, Viacheslav I. Adamchuk, Md Saifuzzaman, Rami Albasha, Maxime Leduc

“…This study aims to propose a framework for estimating alfalfa stem density using satellite imagery and machine learning (ML) algorithms, which can lead to winter mortality detection early in the spring and provide a better understanding of potential total dry matter. …”
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Combining a Risk Factor Score Designed From Electronic Health Records With a Digital Cytology Image Scoring System to Improve Bladder Cancer Detection: Proof-of-Concept Study by Sandie Cabon, Sarra Brihi, Riadh Fezzani, Morgane Pierre-Jean, Marc Cuggia, Guillaume Bouzillé

“…This combination offers a higher associated risk of cancer than VisioCyt alone for all classes, especially for low-grade bladder cancer. ConclusionsThese results demonstrate the value of combining clinical and biological information, especially to improve detection of low-grade bladder cancer. …”
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